Job Title: Lead Machine Learning Engineer - AI startup Company: Founding Teams Job Category: Machine Learning Roles & Responsibilities: We are seeking a motivated and detail\-oriented Junior Machine Learning Engineer to join our data science and engineering team. In this role, you will assist in building, deploying, and maintaining ML models to solve real\-world problems. You’ll work closely with data scientists, software engineers, and product managers to develop intelligent systems using machine learning algorithms. 🎯 Key Responsibilities: * Assist in collecting, cleaning, and preprocessing data for model training. * Support the development and evaluation of supervised and unsupervised ML models. * Implement baseline models and contribute to improving performance. * Collaborate on feature engineering and model optimization tasks. * Write clean, maintainable, and documented code in Python or related languages. * Contribute to deployment pipelines and monitor model performance in production. * Stay updated with the latest trends and tools in ML/AI. Work Location: India Availability: Full time
Job Title: Digital - Senior Company: EY Job Category: Machine Learning Roles & Responsibilities: About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Client service is focused on providing Consulting, Assurance, Tax, Strategy \& Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high\-quality, value\-added support, helping deliver exceptional client service. Enablement Services provides cost\-effective, high\-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. The Opportunity We are looking for a Senior AI Engineer with 4\-8 years of overall experience to design, build, and deploy production\-grade AI systems. The ideal candidate has strong hands\-on expertise in Python, Generative AI and Agentic AI, backed by a solid foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a hands\-on role where you will be expected to operate as a strong individual contributor while also being able to work at a lead capacity, engaging directly stakeholders to translate business needs into scalable technical solutions. Your Key Responsibilities * Own features end\-to\-end, from problem framing and model development to API design, deployment, and scaling on the cloud. * Design, build, and deploy production\-grade AI systems. * Engage directly with stakeholders to translate business needs into scalable technical solutions. * Design and develop REST/APIs and integrate AI models into services. * Scale applications and optimize performance for high\-volume workloads. * Deploy and operate models/services in production environments (CI/CD, containerization, monitoring). * Operate as a strong individual contributor and lead at a stakeholder engagement capacity. * Guide and mentor junior engineers. What We Look For * Excellent verbal and written communication skills. * Ability to clearly articulate technical concepts to both technical and non\-technical audiences. * Strong ownership, accountability, and a delivery\-focused mindset. * Leadership presence and the ability to guide and mentor junior engineers. * Strong problem\-solving and analytical thinking. * Collaborative team player who can also work independently with minimal supervision. * Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost. * Professional Development: From entry\-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship. * People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing. * Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting\-edge learning opportunities that empower you to continually grow and excel in your professional and personal development. * How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user\-friendly form with personal and professional information and by providing your consent to data privacy. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Data Scientist Company: Prodapt Job Category: Machine Learning Roles & Responsibilities: We are hiring a Data Scientist with 5\+ years of experience in Machine Learning and Generative AI to support an enterprise analytics and AI transformation project in the telecommunications industry. Telecom experience is preferred but not mandatory, and strong candidates from other industries are encouraged to apply. Responsibilities: Role Purpose The successful candidate will design, build, evaluate, and deploy ML models and GenAI applications that solve real business problems. The work spans predictive analytics on structured and unstructured data, LLM\-powered applications with Retrieval\-Augmented Generation (RAG), and production\-ready AI solutions delivered in close collaboration with engineering, platform, and business teams.Key Responsibilities* Data Science \& ML: Build and validate predictive models (classification, regression, clustering, forecasting, anomaly detection) and operationalize them through scalable pipelines. * Generative AI: Develop enterprise GenAI applications using leading LLMs, implementing RAG, embeddings, vector search, and prompt engineering, with attention to accuracy, groundedness, and cost. * Agentic AI (strong advantage): Build tool\-enabled, multi\-step AI agents using frameworks such as LangGraph, CrewAI, or Google ADK, with human\-in\-the\-loop controls and reliability monitoring. * MLOps / LLMOps: Move solutions from experimentation to production, covering APIs, versioning, monitoring, CI/CD, and cloud AI platforms (AWS Bedrock, Azure AI Foundry, Google Vertex AI). * Stakeholder Engagement: Translate business needs into measurable AI use cases and communicate results and limitations clearly to technical and non\-technical audiences. Work Location: Bengaluru, India Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Bain & Company Inc Job Category: Machine Learning Roles & Responsibilities: You’ll join our Machine Learning and Data Science experts within the Applied Tech \& AI team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data\-driven strategies and innovative solutions. Together, we create human\-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. * Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high\-impact client problems. * Architect and implement production\-grade ML systems by building enterprise\-grade services, applying MLOps and CI/CD for reliable deployment and monitoring, and ensuring high standards in engineering quality and documentation. * Partner with general consulting teams and client stakeholders to translate business problems into ML solutions, prioritize work, and enable enterprise‑scale AI transformation. * Continuously research emerging frameworks and state‑of‑the‑art AI (e.g., LLMs, agents, retrieval, post\-training, etc.) and convert learnings into reusable frameworks, components, and accelerators used across industries and functions. * Share knowledge and mentor others on best practices tools, and approaches in applied machine learning and AI engineering. * Contribute to internal R\&D and learning initiatives to advance Bain’s AI capabilities and foster continuous innovation between projects. ABOUT YOU Work Location: Bengaluru, India Availability: Full time
Job Title: Data Scientist Company: NatWest Group Job Category: Machine Learning Roles & Responsibilities: * You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions * We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data * This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work * We're offering this role at associate level As a Data Scientist, you’ll bring together statistical, mathematical, machine\-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end\-to\-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy. You’ll Also Be * Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics * Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services * Working in an Agile way within multi\-disciplinary data and analytics teams to achieve agreed project and scrum outcomes * Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale * Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer Co-op Company: CIBC Job Category: Machine Learning Roles & Responsibilities: CIBC’s Enterprise AI Infrastructure \& ML Ops team is hiring a Machine Learning Engineer Co\-op. As an ML Engineer Co\-op, you will collaborate on the MLOps strategy, assist with adherence to enterprise governance, and support in the implementation of tooling and frameworks to enable secure, scalable, and repeatable AI/ML delivery across the bank. Success will be built on supporting technical activities to standardize capabilities and create a measurable impact in building influence with stakeholders. * Data Science Expertise: You will use your knowledge in Machine Learning to contribute towards the development of reproducible models. * MLOps: You will utilize your Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will assist with tasks related to the deployment of machine learning models and the maintenance of internal Python libraries * Champion Best Practices: You will adhere to the team’s code\-style, work\-flow patterns and project structure standards. You will participate in writing great documentation, practicing test\-driven\-development and properly annotating your code. Work Location: Toronto, Canada Availability: Full time
Job Title: ML Software Engineer, Routing Company: Lyft Job Category: Machine Learning Roles & Responsibilities: We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success. Our technology stack runs on AWS, Kubernetes, Go, Python/C\+\+, Apache Airflow, Flink, and Kafka. We use AI to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: --------------------- * Perform data analysis and build proof\-of\-concept to explore and compare ML and non\-ML solutions * Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance * Develop statistical, machine learning, or optimization models * Write production quality code that can scale well to serve millions of requests per day * Participate in code reviews, design reviews, production on\-call support and incident triaging process. * Write well\-crafted, well\-tested, readable, maintainable code * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service * Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top\-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ride credits Lyft highly values having employees working in\-office to foster a collaborative work environment and company culture. This role will be in\-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in\-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. \#Hybrid Work Location: Toronto, ON, Canada Availability: Full time
Job Title: Applied Machine Learning Scientist Company: Jump! Recruiters Job Category: Machine Learning Roles & Responsibilities: Our client, Velan, is a global leader in the design and manufacture of industrial valves. Founded in Montreal, the company is recognized for the quality of its products, its technical expertise, and its human and collaborative corporate culture. They are currently looking at adding an Applied Machine Learning Scientist, who will develop, deploy, and continuously improve scalable AI/ML solutions that solve meaningful business problems and improve decision\-making, workflow efficiency, and process automation across the organization. Working at the intersection of data science, software engineering, and MLOps, you will transform prototypes into reliable production systems, ensure models remain accurate and trustworthy over time, and collaborate with cross\-functional stakeholders to translate business needs into practical, high\-quality technical solutions. Responsibilities * Design, develop, and deploy machine learning models that address high\-value business problems and support scalable process automation. * Build and maintain end\-to\-end ML pipelines, including data ingestion, feature engineering, training, evaluation, deployment, inference, and monitoring. * Convert proof\-of\-concept models into production\-grade solutions that are scalable, robust, performant, and reliable across changing data conditions. * Support the development of autonomous and multi\-agent systems that can reason, plan, execute tasks, and integrate with enterprise tools, databases, APIs, and services. * Monitor deployed models for performance degradation, data drift, bias, and fairness, and retrain or recalibrate models when needed. * Partner with domain experts, engineers, and business stakeholders to define requirements, frame problems, translate objectives into technical solutions, and communicate results clearly. * Apply software engineering best practices, including version control, code review, automated testing, CI/CD, containerization, and orchestration. * Contribute to ML system architecture and technology decisions, ensuring alignment with the company’s data platforms, infrastructure, and technology standards. * Promote strong data and model governance through clear documentation, reproducibility, explainability, and auditability of ML solutions. Work Location: Greater Toronto Area, Canada Availability: Full time
Job Title: Machine Learning Scientist I Company: Wayfair Job Category: Machine Learning Roles & Responsibilities: Who We Are Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, \& algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams:sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative. What You’ll Do * Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value * Develop and scale state\-of\-the\-art machine learning methods and quantitative models to address core business problems * Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site * Drive measurable business value collaborating with business teams to change the course of Wayfair * Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company * Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings * Use data to improve the decision\-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers * Work with a team of friendly and motivated scientists working together to build novel solutions to business problems * Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices * Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops Social Impact \& Responsibility At Wayfair, we focus on helping people on their journey to home \- specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in\-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi\-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry\-leading technology and creative problem\-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. Work Location: Toronto, Ontario, Canada Availability: Full time
Job Title: AI/ML Software Engineer Intern (Summer 2027 - 8-Months - Masters - QVS) Company: Electronic Arts Job Category: Machine Learning Roles & Responsibilities: Role ID 216234 Worker Type Intern \- Temporary Employee Studio/Department EA Studios \- Quality Verification Work Model Hybrid ### Description \& Requirements Electronic Arts creates next\-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Our Quality Verification and Standards (QVS) team is an integral part of our development process, consistently delivering actionable insights that support our game teams to optimize software performance and elevate gameplay. Their dedicated efforts ensure that we deliver cutting\-edge entertainment experiences that captivate and inspire players and fans globally. We’re looking for 2 x AI/ML Software Engineer Co\-op Masters students to join our team. You will be responsible for assisting with our experimental Research and Development (R\&D) work within EA’s Sports Quality Verification Engineering organization. Primarily, this work will focus on the Machine Learning and Artificial Intelligent domain and will be the foundation for our next generation of tools and solutions for driving effectiveness and efficiencies in our QV process. The successful candidates will play a pivotal role in this transformation. Primary Responsibilities * Providing improvements to existing solution implementations. * Relocation support may be available if you meet specific eligibility criteria. * Understanding of software development life cycles (SDLC), engineering best practices, and collaborative version control tools like Git. * Please apply with examples of relevant projects, games or tools you've made major contributions to (links welcome). If multiple people worked on a project, describe exactly what your role was. Work Location: Vancouver, Canada Availability: Full time
