Our mission at Sense is to make all homes intelligent by keeping people informed about what's happening in their homes, and helping to make homes safer, more efficient, and more reliable.

At Sense, we are serious about having a real impact on climate change.

The technology team at Sense is looking for an experienced ML Operations Engineer to help the data science team scale and to deploy, monitor, and maintain machine learning models in production.

Responsibilities 

• Design, build, and maintain model training and serving infrastructure for CI/CD
• Collaborate with data scientists and data engineers to improve productivity by increasing automation for model training and experimentation workflows
• Provide technical leadership to data engineers
• Support annotation and ground truth collection through tool improvement and automation
• Champion best practices for data science software development processes and serve as architect for shared data science software libraries
• Work with the infrastructure guild to upgrade and patch libraries; maintain and optimize pipelines
• Responsible for ensuring data science production software is robust and scalable
• Identify and implement cost savings; monitor and manage costs

Qualifications

• 5+ years of experience designing, building, and maintaining production AI/ML applications
• Strong programming skills (Python, C, etc.) 
• Experience with ML libraries (PyTorch, scikit-learn, Tensorflow)
• Cloud experience (AWS preferred)
• Experience with frameworks such as MLFlow, Kubeflow, Airflow, Docker, etc.
• Strong communication and collaboration skills 
• Must be authorized to work in the U.S.

• Flexible time away policy
• Paid parental leave.
• A wide range of difficult and interesting problems to be solved.
• Work with a small team of experienced entrepreneurs creating revolutionary technology.
• Great opportunity to gain experience at a consumer smart home startup.
• Competitive compensation and generous healthcare benefits.
• A great office in Central Square in Cambridge, MA right by the Red Line
• Compensation 170k to 190k
• Stock Options and 401k with up to 10k match

Why Sense

Join Sense and be part of our mission to reduce global carbon emissions by making homes smart and more efficient. Our energy data and tools demystify home energy use, empower people to take command of their usage, and enable utilities to build a cleaner and more resilient grid.

Sense supports a diverse and inclusive workplace where we all learn from each other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we strive to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. Sense is committed to be an equal opportunity employer.

• Be a part of building something that will make a difference in the world.
• Have a big impact at a VC-backed consumer startup that's doing big things:
• Best Startups in Cambridge - Tech Tribune
• "One of the world's top 100 AI companies" - VentureBeat
• Clean Tech Company of the Year - New England Venture Capital Association
• 50 on Fire - BostInno
• Top 100 - Red Herring
• Best Consumer AI Technology - AI Dev World
• Global Cleantech 100

See more jobs at Sense

Apply for this job

Job Description

As a valued colleague on our team, you will provide expert advice on, and guide team in, assessing and identifying potential risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with key stakeholders across the enterprise and guide team in understanding business objectives.

The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) will join the Model Governance Solutions (MGS) team. Model Governance Solutions (MGS) is a first line of defense team whose mission is to drive efficiency, consistency, and compliance in first-line model management activities across the enterprise. As a valued colleague on our team, you will assist the team with assessing and identifying potential model risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with the team in communicating and collaborating with key stakeholders across the enterprise and understanding business objectives.

THE IMPACT YOU WILL MAKE

The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Execute on tactical elements of governance compliance for artificial intelligence (AI) and machine learning (ML).
• Be part of the team responsible for providing program management and oversight for 1St LoD AI/ML risk management.
• Work with team members and leadership to prepare content and facilitate AI council and working group meetings.
• Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur.
• Work with MGS team members to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur.
• Work with key stakeholders on identifying heightened risks, controls, and value of prospective AI/ML use cases.
• Work with Enterprise Architecture to create, and sustain, a comprehensive AI/ML use take intake process.
• Maintain the comprehensive inventory of AI use cases, evidence of review and approval, and associated documentation.
• Partner with Model Risk Management and other functions (e.g., legal) on requisite review and effective challenge of new AI/ML use cases.
• Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise AI/ML strategy.
• Work with internal stakeholders to develop and deliver training content and socialization about AI/ML risk processes and controls.
• Guide team in preparing analyses and reports used to determine business areas that pose potential risks to the enterprise. 
• Guide team in preparing analyses and reports used to evaluate the impact of proposed risks to the enterprise.  
• Lead team in monitoring information and processes to reduce risk using rigorous analysis.  
• Document resolutions and control guidelines.  
• Guide team efforts to review business strategies, and make decisions that will drive success in the face of shifting consumer behaviors and regulations. 

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years  of risk management, governance or AI/ML experience 

Skills

• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Experience gathering accurate information to explain concepts and answer critical questions
• The group of skills related to Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.

Tools

• Skilled in Excel

Desired Experience

• Bachelor degree or equivalent  
• An ideal candidate will have at least 4 years of risk management experience with at least 1 year in model risk management.
• Experience in the practices, policies, and frameworks that guide the development, deployment, and management of AI/ML models.
• Track record of execution, strong prioritization, and the ability to lead teams
• Relationship management skills to partner with team members and stakeholders as needed.
• Excellent oral and written communication skills, including the ability to explain complex processes in business terms.
• Experience in Financial Services or other highly regulated industries.

Skills

• Strong organizational, analytical and problem-solving skills
• Ability to identify, make recommendations, and implement process improvements in day-to-day activities.
• Ability to work independently, but also comfortable working and contributing within a team environment.
• Comfortable working in a dynamic and ever evolving environment.
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
• Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas.
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
• Governance and Compliance skills including creating policies, evaluating compliance, conducting internal investigations, developing data governance, etc.
• Relationship Management skills including managing and engaging stakeholders, customers, and building relationship networks.
• Passion for AI, Machine Learning and Data Analysis. Interest in exploring AI/ML trends and techniques outside of day-to-day job duties.
• Learn, provide, and maintain up-to-date knowledge of relevant industry and regulatory standards, best practices, and business processes used in model risk management.
• Be a self-starter.

See more jobs at Fannie Mae

Apply for this job

Job Description

• Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions
• Foster a culture that values data-driven decision-making within the organization and aid in the enhancement of our data platform
• Offer ML and engineering expertise and ensure your team builds, deploys and maintains high standards models
• Drive innovation and creativity within your team, encouraging them to explore new data science techniques and approaches
• Empower your team by supporting members to grow and take ownership of data science projects
• Continually assess and improve the team's performance, setting clear expectations and providing constructive feedback

Qualifications

• Deep knowledge in statistical and quantitative analysis, coupled with practical expertise in SQL and Python, honed over several years. Experience with cloud platforms like AWS, Azure, or Google Cloud is a significant advantage
• Proven leadership skills, with a track record of delivering end-to-end Machine Learning products in collaborative environments
• Excellent communication skills: you can effectively interact with stakeholders to understand their requirements, as well as communicate complex technical concepts to your data science colleagues
• Machine Learning: hands-on experience with a wide array of machine learning methods, along with the ability to discern the most suitable technique for various problems
• Strong motivational and managerial skills to guide, support, and inspire your team to reach their objectives

See more jobs at AUTO1 Group

Apply for this job

Job Description

Project – the aim you’ll have

Our partner is a healthcare company that combines clinical research with clinical care to improve patient health outcomes. The company uses its unique technology and health algorithms to match patients with appropriate clinical trials, optimize study outcomes, and better support patients in their participation. The company has expertise in clinical research across gastroenterology, dermatology, urology, oncology, biomarkers, and metabolic disorders. Based in Nashville, Tennessee, the company employs over 100 people.Our customer also utilizes artificial intelligence and machine learning to analyze data and identify patterns that can help improve patient health outcomes.

Position – how you’ll contribute

• Develop and maintain ML algorithms and workflows on Databricks to assess patient risk and screen and match patients for clinical trials based on historical health records.
• Collaborate with clinical and technical teams to analyze user flows, optimize data integrations, and provide insights through complex data migration analysis.
• Utilize AWS, Python, and data modeling techniques to ensure high-quality, scalable, and secure data solutions.
• Generate impactful reports and dashboards to support clinical research insights and optimize patient matching.
• Design and implement ETL processes for integrating with third-party applications, leveraging tools like Redox (preferred) for seamless EHR connectivity.

Qualifications

Expectations – the experience you need

• Proven experience with Databricks and AWS environments.
• Proficiency in Python and hands-on experience with data modeling and reporting tools.
• Familiarity with EHR (Electronic Health Records) data, clinical workflows, and patient data privacy standards is beneficial.
• Experience in data migration and third-party integrations, with familiarity with Redox being an advantage.

See more jobs at Software Mind

Apply for this job

See more jobs at Instacart

Apply for this job

Apply for this job

Job Description

• LLM Development/Deployment Pipeline creation, workflows

• Study and transform Gen AI PoCs to production grade deployment

• Design machine learning systems, Run machine learning tests and experiments

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Perform statistical analysis and fine-tuning using test results

• Train and retrain systems when necessary

• Gen AI Development :

Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data.

Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters.

Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text.

Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform.

Qualifications

• 2-5 years of IT experience (2 Years in AI/ML/DS Domain).

See more jobs at Solvios Technology

Apply for this job

Job Description

Experian Consumer Services is looking for a Sr. Data Scientist to help create personalized financial solutions to our customers. You will extract insights from data and deliver a ML project from beginning to end, including understanding our needs, training/validating ML models, and deploying ML models to applications. You will report to the Director of Data Science.

You'll have opportunity to:

• Develop machine learning algorithms with huge data sets to solve challenging business questions.
• Monitor and improve performances of existing algorithms.
• Discover new data sources and create new input features for ML models.
• Build end-to-end data pipeline for ML models.
• Communicate important analytical results to team members.

Qualifications

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science, etc.) or equivalent professional experience.
• 3+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc..
• Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing.
• Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.
• Experience with cluster-computing framework, such as Hadoop or Spark.
• Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL.

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

#LI-Hybrid

See more jobs at Experian

Apply for this job

Job Description

We are seeking an experienced Data Platforms Solutions Architect to join our team. This role goes beyond traditional architecture and has a strong emphasis on business development applications of the technology knowledge. As a Solutions Architect, you will collaborate with clients and internal teams to design and present tailored data platform solutions, custom to various customer opportunities needs.

You will leverage your hands-on experience with modern data engineering tools paired with your ability to provide strategic insights during presales engagements.

Responsibilities: 

• Drive innovation in Data & AI Business Opportunities: actively contribute to business development by identifying opportunities, understanding client needs, and proposing innovative data platform solutions based on modern cloud accelerators and frameworks (e.g. Databricks, Snowflake, Synapse);
• Tailor client focused solutions:partner with sales teams to deliver compelling technical presentations, demonstrations, and proofs of concept while being able to influence clients' strategic decisions by showcasing the value of data engineering and platform architectures tailored to their needs;
• Lead discovery and shape solutions:Drive as a leader the Discovery Workshops with new clients, aiming on collecting the business requirements and work with the BA/PO in documenting these requirements;
• Design operational-fit architectures: Carefully analyse all the use-cases of the data platform for provided business added value (e.g. pipelines for BI, AI driven decision-making, data mesh self-service architectures);
• Offer technical advisory: Guide clients through tool selection and best practices in data platform design, including pitching the reasoning behind certain choices; pitch the end-to-end solution to the internal and end-customer stakeholders;
• Advance technical expertise:Design and implement scalable, secure, and high-performance data platforms, including data lakes, warehouses, and integration pipelines;
• Collaborate with cross-functional teams:partner with stakeholders to align business goals with technology solutions, proposing practical models to calculate the Total-cost-of-ownership (TCO);
• Technical leadership: Implement the PoCs associated with the provided high-level solution designs and lead the mid-senior data engineers in transforming the PoC into the Production MVP.

Qualifications

Must have:

• 7+ years of experience in data engineering, focusing on data governance, data lakes, pipelines, and ETL/ELT processes;
• 3+ years of experience in a Data Platforms Solutions Architect role, leading platform design and implementation;
• Expertise in data lake platforms like Databricks, Azure Data Lake, AWS Lake Formation, or Google BigQuery;
• Proficiency in data processing frameworks (Apache Spark, Kafka, Flink) and orchestration tools (Airflow, ADF, AWS Step Functions);
• Strong knowledge of security & governance (RBAC, encryption, GDPR, HIPAA compliance) and distributed storage systems (Parquet, ORC, Delta Lake);
• Experience with cloud-native platforms (AWS, Azure, GCP) and IaC tools (Terraform, CloudFormation, or Bicep);
• Proficiency in automation, DevOps, and observability using tools like DataDog, Prometheus, or cloud-native monitoring;
• Strong skills in Python, SQL, or Scala for building data transformations and performance-optimized models (star, snowflake, data vault);
• Pre-sales support experience, including RFPs, technical proposals, and business development support;
• Strong communication & leadership skills, with the ability to engage technical and non-technical stakeholders.

Nice to have:

• Experience integrating data lakes with machine learning platforms like TensorFlow, PyTorch, or cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML, Google Vertex AI);
• Familiarity with feature stores and their role in operationalizing ML (e.g., Feast, Databricks Feature Store);
• Understanding of data modeling, data ingestion, and ETL/ELT processes tailored for AI/ML use cases;
• A plus are the following certifications: Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, Databricks Certified Data Engineer Professional, Snowflake Advanced Architect Certification, Certified AI Practitioner (CAIP).

Apply for this job

See more jobs at Stitch Fix

Apply for this job

Job Description

Machine learning engineer

Responsibilities :

Work closely with product teams to implement new products and features using ML.
Develop highly scalable classifiers and tools leveraging machine learning, deep learning, and rules-based models.
Own and drive all ML projects.
Inculcate ML culture within an organization.

Deployment of models & experience in the cloud.

Good knowledge on scripting and well versed with linux.

Requirements :

1 to 4 years of relevant work experience.  

Python programming skill is a must. Strong coding capabilities in TensorFlow or PyTorch. 

Good understanding of Machine Learning algorithms (Regression algorithms, Decision Trees), Distributions, and Deep Learning algorithms.                        Good understanding of Data structures & Algorithms.

Good in problem solving skills.

Understanding/Knowledge on ElasticSearch is a plus point.

Flexible with cross-functional work.

Any prior research publication is a plus point.
Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
A passion for making ML methods robust and scalable.
Experience in extraction from structured/unstructured text (knowledge or statistics based).
Experience in one or more of the following areas: entity/relation extraction, normalization, text. summarization, semantic search, word/paragraph/document embedding, ranking, etc.
NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement).
Experience in deep learning approaches to NLP: word/paragraph embedding representation learning, text/sentiment classification, word2vec.
Experience with neural networks and deep learning frameworks (such as Keras, TensorFlow, torch)
Familiarity with database queries and data analysis processes (SQL, Python).
Good in natural language processing, information extraction, and text mining algorithms, tech stacks, and experience with datasets - benchmark and the real world.
Track record of leading, building, and deploying production NLP systems on large scale text data.

Should be very good at Natural language processing

Must have a transformer, BERT understanding. Should be able to fine-tune Transformer, BERT architecture for sub-level tasks.

Monitor the performance of existing pipelines and different services, continuously look out for opportunities to improve the developer experience, and cost optimization

Troubleshoot the platform related incidents

Create and generate periodic and ad hoc reports

Having experience in Bard,  Gemini, etc will be added advantages.  

We are a 100% remote company and we strive to build a unique and thriving workplace where work is designed around people (and not the other way round). More details on PromptCloud’s culture and how we work can be found in the PC 2.0 Culture Handbook shared here  - https://www.promptcloud.com/life-at-promptcloud.   

Perks

• An environment where each employee is celebrated. 

• A one-time home office setup allowance, monthly allowances for internet bills, child care allowance for new mothers/single parents.

• Half-yearly performance appraisals

• Flexible working hours

• Competitive salary

Qualifications

See more jobs at Promptcloud

Apply for this job

Helpshift - A Keywords Studio, bridges the disconnect between conventional customer service channels — such as email and phone support — and a growing consumer base that does more on mobile phones and has a strong preference for messaging as the primary mode of communication. Through Helpshift’s AI-powered customer service platform, companies can resolve issues more efficiently, boosting customer satisfaction in the process. Companies such as Supercell, Scopely, Rovio, and hundreds of other leading brands use the Helpshift platform to provide messaging-first customer support. Helpshift is installed on two billion devices worldwide and serves more than 820 million active consumers. We are looking for an ambitious, experienced, driven & solution orientated individual that thrives in a fast-paced, cutting-edge, technology-driven environment. You will be an integral part of our custom development and professional services team and collaborating with multiple teams to deliver solutions to our clients.

Title: AI Engineer (AI-Powered Agents)

Location: Pune

Job Type: Full-time

Key Responsibilities:

• AI Agent Development: Design, build, and deploy AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models.

• AI-Driven Process Optimization: Collaborate with business units to optimize workflows using AI-driven solutions, automating decision-making processes and improving operational efficiency.

• Model Monitoring and Maintenance: Establish processes for real-time model monitoring, including tracking performance, drift detection, and accuracy of models in production environments.

• Model Retraining and Optimization: Develop automated or semi-automated pipelines for model retraining based on changes in data patterns or model performance. Implement processes to ensure continuous improvement and accuracy of AI solutions.

• Cloud and ML Platforms: Utilize platforms such as Azure Machine Learning Studio, Google Vertex AI, AWS Bedrock and open-source frameworks for end-to-end model development, deployment, and monitoring.

• Collaboration: Work closely with data scientists, software engineers, and business stakeholders to deploy scalable AI solutions that deliver business impact.

• Generative: Should Have a work experience in RAG, Langchain, Llamaindex and generative AI use case implementation and deployment.

Good to have agents framework knowledge or working experience like AutoGen, CrewAI, Langchain-agent, Llamaindex Agent, Swarm by open AI etc.

Skills and qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• 5+ years of experience as an AI Engineer, focusing on AI-powered agent development, knowledge graphs, AI-driven process optimization, and MLOps practices.

• Proficiency in working with large language models (LLMs) such as GPT-3/4, GPT-J, BLOOM, or similar, including both open-source and commercial variants.

• Experience with knowledge graph technologies, including ontology design and graph databases (e.g., Neo4j, AWS Neptune).

• Strong skills in Python, Java, or similar languages, and proficiency in building, deploying, and monitoring AI models.

• Solid experience in natural language processing (NLP) techniques, including building conversational AI, entity recognition, and text generation models.

• Model Monitoring & Retraining: Expertise in setting up automated pipelines for model retraining, monitoring for drift, and ensuring the continuous performance of deployed models.

• Experience in using cloud platforms like Azure Machine Learning Studio, AWS Bedrock, Google Vertex AI, or similar cloud-based AI/ML tools.

Preferred Skills:

• Experience with building or integrating conversational AI agents using platforms like Microsoft Bot Framework, Rasa, or Dialogflow.

• Knowledge of advanced AI-driven process optimization tools and techniques, including AI orchestration for enterprise workflows.

• Experience with containerization technologies (e.g., Docker, Kubernetes) to support scalable AI/ML model deployment.

• Certification in Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or relevant MLOps-related certifications is a plus.

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

Privacy Notice

By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

See more jobs at Keywords Studios

Apply for this job

See more jobs at Instacart

Apply for this job

See more jobs at Instacart

Apply for this job

Job Description

• Ensure the quality of the end-to-end lifecycle of our AI solutions: this includes everything from data preparation and model training to – POC and at scale – deployment, monitoring, and maintenance.
• Close collaboration with the AI Tech Lead and other team members, helping the team to build and deliver AI-powered applications in a secure, efficient, and reliable manner.
•  Advise and guide the team on how to automate and optimize the deployment of AI- powered applications. Take the lead on establishing best practices and adopting the most suitable frameworks, tools and platforms for machine learning operations in the team.
• Develop, deploy, maintain and continually improve AI-powered applications and ML pipelines, which might include multiple components, such as data ingestion and transformation, model training and serving, frontend interfaces, databases and APIs.
• Implement continuous integration and delivery (CI/CD) for our AI solutions.
• Monitor model performance and data quality, and iterate on models in production.
• Collaborate with data engineers, data scientists and software engineers to make models, applications or use cases operational.
• Ensure the scalability and reliability of our AI and ML infrastructure.
• Ensure our practices keep up to date with MLOps standards.
• Actively share your knowledge with the team.

Qualifications

• Fluency in one at least one OOP language such as C# or Java.
• Experience with common data science languages, such as Python or R. 
• Clear understanding of the machine learning project lifecycle.
• Proficiency with open-source tools, such as Jenkins.
• Experience with AWS Cloud Platform.
• Proficiency in using query languages such as SQL, Spark SQL, etc.
• Experience with container technologies like Docker and Kubernetes.
• Experience with software build and release processes, unit testing, version control, etc.
• Experience using Git source control.
• A passion for ML/AI.
• A collaborative and can-do attitude.
• Excellent written and verbal communication skills, comfortable with audiences including product and engineering management.

See more jobs at Devoteam

Apply for this job

Job Description

As a Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge machine learning solutions. Your work will impact millions of users, specifically in the field of natural language processing (NLP), cloud-based applications, and deep learning.

Key responsibilities:

• Design and develop machine learning models, algorithms, and systems
• Implement appropriate ML algorithms for tasks such as NLP, recommendation systems, and computer vision
• Conduct experiments and analyze data to improve model performance
• Optimize algorithms for scalability, efficiency, and accuracy
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts
• Stay up-to-date with the latest advancements in machine learning and AI
• Leverage cloud services (such as Azure, AWS, or Google Cloud) for model deployment and scalability
• Explore and apply GenAI techniques to enhance model capabilities

Qualifications

Must have:

• Bachelor’s or master’s degree in computer science, data science, or a related field
• Strong programming skills in languages like Python or R
• Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with NLP techniques, including text classification, sentiment analysis, and named entity recognition
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud platforms and services
• Excellent problem-solving abilities and analytical thinking
• Good command of English

Nice to have:

• Contributions to open-source projects or research publications
• Experience with distributed computing and big data frameworks
• Certifications related to machine learning or cloud platforms

See more jobs at Mobica

Apply for this job

See more jobs at Tubi

Apply for this job

Job Description

We are looking for a highly motivated Senior Engineering Manager, MLOps to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20+ scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include (but will not be limited to):

• Leading our Engineering team with the focus on quality, delivery, and adoption of technology and AI within the organization

• Leading by example on AI solution integration and MLOps, and drive decisions at technical level

• Promoting best practices in MLOps and mentoring team members

• Partnering with tech and product leaders across the EV organisation

• Staying on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis 

Qualifications

Education and experience

• PhD or MSc degree in quantitative discipline (e.g., Software Engineering, Computer Science);

• 5+ years of experience in formal management roles with at least 3 direct reports;

• Track record of successful integration of AI/ML initiatives into product portfolio;

• 10+ years of overall experience in Software Engineering including demonstrated experience in MLOps. Any Platform Engineering experience is a plus;

• Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives;

• Ability to work in a fast-paced, result-oriented and collaborative environment;

• Experience in leveraging the Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions is considered a plus;

• Demonstrated cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers);

• Contribution to open source software development is considered a plus.

Skills, abilities and work standards:

• Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection. 

• Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals. 

• Authentic- Being honest and authentic in communication, feedback and strategy.

• Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals. 

• Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources. 

• Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating

See more jobs at EcoVadis

Apply for this job

See more jobs at Waymo

Apply for this job

See more jobs at FocusKPI Inc.

Apply for this job