Jobs
>
Mumbai

    Head of Machine Learning - Mumbai, India - Career Stone Consultant

    Career Stone Consultant
    Career Stone Consultant Mumbai, India

    1 week ago

    Default job background
    Description
    Lead Machine Learning


    Location:
    Mumbai/ Bangalore ( Hybrid)

    Seeking a Lead ML Engineer to join our dynamic and innovative Global Data Science team.

    In this role, you are a critical member of the data science group focused on leading efforts in migrating ML-based solutions from concept to production level operational excellence.

    You will lead initiatives building scalable, resilient, and automated solutions in GCP (Google Cloud Platform) to ensure that models deliver on organizational
    objectives. You will professionally engineer solutions considering notions of risk and FMEA
    (failure modes and effects analysis). The ideal candidate will have expertise in AI platforms, ML
    model development life cycle, model management including orchestration, deployment, and
    monitoring, GCP Vertex AI, and a proven track record of successful AI solution delivery.

    The ML Engineering capability is leveraged to fuel advanced AI/ML solutions driving decision-making for critical enterprise needs. It is also responsible for implementing and enhancing the
    community of practice to determine the best practices, standards, and MLOps frameworks to
    efficiently deliver enterprise data solutions at General Mills.

    This role works in close collaboration with Data Scientists, Data Engineers, Architects and other
    teams to support the analytic consumption needs. Enhances the performance of the models and
    automates the production pipelines to gain efficiency.


    Role Responsibilities:

    Establish and Implement MLOps practices:

    • Development of end-to-end MLOps framework and Machine Learning Pipeline using
    GCP, Vertex AI, and Software tools


    • Serving Pipeline with multiple creation Vertex AI and GCP services. Improve ML pipeline
    documentation and understandability.


    • Automate logging of model usage and predictions provided. Improve logging and
    diagnostic processes


    • Automate monitoring of models both for failures and degradation. Automate
    monitoring of data sources to identify issues and/or data changes.


    • Design and implement dynamic re-training of ML pipelines using event-based or custom
    logic


    • Resource and Infra Monitoring configuration and pipeline development using GCP
    service.


    • Branching strategies and Version Control using GitHub
    • ML Pipeline orchestration and configuration using Airflow/Kubeflow.
    • Code refactorization & coding best practices implementation as per industry standard
    • Implementing MLOps practices on a project and establishing MLOps best practices.
    • Lead the investigation and resolution of production issues, perform root cause analysis,
    and recommend changes to reduce/eliminate re-occurrence of issues.


    • Optimize deployment and change control processes for models.
    • Create and operationalize quality assurance processes for ML models

    Lead the execution of ML Solutions @Scale :

    • Partners with business stakeholders to design the right deliver value-added insights and
    intelligent solutions through ML and AI.


    • Collaborates with Data Science Leads, ML System Engineering and Platform teams to
    ensure the models are deployed in a scaled and optimized way. Additionally, ensure
    support the post-production to ensure model performance degrades are proactively
    managed.


    • Play a lead role in spearheading the development effort of new standards (design
    patterns, coding practices, orchestration patterns) and drive value and adoption across
    the Data Science team


    • Is considered an expert in the ML Ops and Model management space; brings together
    business knowledge, architecture, resources, people, and technology to create more
    effective solutions

    Research, Evolve and Publish best practices:

    • Research and operationalize technology and processes necessary to scale ML Ops
    • Recommend model changes to optimize cloud spend.
    • Ability to research and recommend MLOps best practices on new technologies,
    platforms, and services.


    • Drive ideation, design, and creation of new ML Architecture patterns in discussion with
    the Enterprise Architecture team.


    • MLOps pipeline improvement plan and suggestion.

    Communication and Collaboration:

    • Knowledge sharing with the broader analytics team and stakeholders.
    • Communicate on the on-goings to embrace the remote and geographical culture.
    • Ability to communicate the accomplishments, failures, and risks in timely manner.
    • Knowledge sharing session with team for specific ML Ops topics. Coach and Mentor
    junior ML members in the team.


    • Foster a collaborative and innovative team environment. Contribute to the overall effort
    to educate stakeholders on AI practices.


    • Closely collaborates with the stakeholders on projects and data science leaders to ensure
    practices are developed and enhanced to support accelerated analytic development and
    maintainability.


    Embrace a learning mindset:

    • Continually invest in one's knowledge and skillset through formal training, reading, and
    attending conferences and meetups

    Must - have technical skills and experience:

    • Advanced degree in a quantitative field (CS, engineering, statistics, math, data science).
    • Proven technical leadership in a large, complex matrixed organization.
    • Relevant Machine Learning experience of 6+ years and overall 12+ years of Industry
    experience.


    • Experience in supervised ML algorithms, optimization, and performance tuning.
    • Track record of producing machine learning models and production infrastructure at scale.
    • Strong verbal and written communication skills including the ability to interact effectively
    with colleagues of varying technical and non-technical abilities.


    • Passionate about agile software processes, data-driven development, reliability, and
    systematic experimentation.


    • Passion for learning new technologies and solving challenging problems.
    • Good understanding of CI, CD, TDD, and tools such as Jenkins.
    • Strong understanding of orchestration frameworks such Airflow/Kubeflow/MLFlow.
    • Agile software development experience such as Kanban and Scrum.
    • Experience in software version control team practices and tools such as GIT and TFS.
    • Expertise in Data Transformation and Manipulation through Big-Query/SQL
    • Professional experience with Vertex AI and GCP Services.
    • Strong proficiency in Python.

    Good to have skills:

    • GCP Machine Learning certification
    • Understanding of CPG industry
    • Exposure to Deep Learning/RL/LLMs
    • Prior experience with CPG industry.
    • Publications or contributions to the data science and AI community.
    • Certifications in AI, machine learning, or related fields.
    Please share your updated CV at
  • Youth Fusion

    Machine Learning

    2 weeks ago

    Youth Fusion Mumbai, India

    We are seeking a highly skilled machine learning engineer or data scientist to join our team. As a Machine Learning Engineer, you will be responsible for designing and developing machine learning models, algorithms, and data-driven solutions that will help improve our business pr ...

  • U GRO CAPITAL

    Machine Learning

    2 days ago

    U GRO CAPITAL Mumbai, India

    **About U GRO Capital** · UGRO Capital limited is a BSE and NSE listed, small business lending fintech platform. The Company is focused on addressing the capital needs of small businesses operating in select eight sectors by providing customized loan solutions. U GRO Capital's mi ...

  • Nettech India

    Machine Learning Trainer

    2 weeks ago

    Nettech India Mumbai, Maharashtra, India

    **JOB DESCRIPTION AND SPECIFICATION** · **POSITION TITLE : machine learning** · **LOCATION **ANDHERI, Mumbai · **REPORTING TO **IT TEAM · **OBJECTIVE OF THE ROLE** · **KEY RESPONSIBILITIES **Perform following jobs · **Machine learning** · **COMPETENCIES/SKILLS** Good knowledge in ...

  • prexinno

    Machine Learning/marketing

    1 week ago

    prexinno Mumbai, India

    Company Overview: We are a leading software company that specializes in developing innovative solutions for media conversion using advanced language models. Our flagship product, the **MediaX chrome extension**, harnesses the power of state-of-the-art language models such as Chat ...

  • Mettler Toledo

    Machine Learning Intern

    4 days ago

    Mettler Toledo Mumbai, India

    About Mettler Toledo · METTLER TOLEDO is a leading global supplier of precision instruments and services. We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries ...

  • Quantiphi

    Machine Learning Researcher

    20 hours ago

    Quantiphi Mumbai, India

    **Years Of Experience**: · 2 - 5 years · **Location**: · Mumbai, Maharashtra, India;Bangalore, Karnataka, India · : · The position involves working with a diverse, lively, and proactive group of nerds who are constantly raising the bar on translating the latest AI research into t ...

  • JPMorgan Chase Bank, N.A.

    Machine Learning Risk Modeling

    2 weeks ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    In this role you will help to develop and manage statistical/ML risk models that support Chase Card Services. If you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team. · - Utilize cutting- ...

  • JPMorgan Chase Bank, N.A.

    Machine Learning Risk Modeling

    3 weeks ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    If you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team. · **Responsibilities**: · - Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive i ...

  • JPMorgan Chase Bank, N.A.

    Machine Learning Risk Modeling

    2 weeks ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    In this role you will help to develop and manage statistical and machine learning risk models that support Chase Card Services. If you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team. · ...

  • EBusiness Bazaar

    Artificial Intelligence and Machine Learning

    1 week ago

    EBusiness Bazaar Mumbai, India

    **Required Artificial Intelligence and Machine Learning** **Expert for Teaching: Online Classes** · **Salary: 15000 to **Negotiable · Eligibility : Must have 2-4 year hands experience · Location: Mumbai · **Job Types**: Full-time, Part-time, Regular / Permanent, Fresher, Contract ...

  • Suvidha Foundation

    Machine Learning with Fundraising Internship

    4 days ago

    Suvidha Foundation Mumbai, India InternshipSHIP

    The internship lasts one month, during which the intern will work on a Machine Learning project aimed at and supporting the foundation's Girl Child Education campaign. · **Responsibilities of the Intern**: · - The intern will have the opportunity to gain hands-on experience with ...

  • L&D Edutech

    Data Science with Python and Machine Learning

    1 week ago

    L&D Edutech Mumbai, India

    need to take Data science, python, machine learning at our dadar west centre · **Job Types**: Full-time, Part-time · Pay: ₹25, ₹30,000.00 per month · Schedule: · - Evening shift · **Education**: · - Diploma (required) · **Experience**: · - Teaching: 2 years (preferred) · - total ...

  • JPMorgan Chase Bank, N.A.

    Card Risk Machine Learning Modeling

    1 week ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    The Decision Insights machine learning team is focuses on the innovation and use of advanced machine learning modeling, including deep learning, to identify new opportunities for revenue growth and risk mitigation. · In this role you will: · - Design and develop machine learning ...

  • Midas Fintech Solutions Private Limited

    Artificial Intelligence and Machine Learning Trainee

    6 days ago

    Midas Fintech Solutions Private Limited Mumbai, India

    **inPosition Overview**: · As an Artificial Intelligence and Machine Learning Trainee, you will have the opportunity to work closely with our AI and ML experts to gain hands-on experience in the development, implementation, and refinement of cutting-edge AI and ML solutions. The ...

  • JPMorgan Chase Bank, N.A.

    Card Risk Machine Learning Modeling

    4 days ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    You are a strategic thinker passionate about driving solutions in risk modeling · **.** You have found the right team · In Decision Insights machine learning team you will be responsible on the innovation and use of advanced machine learning modeling, including deep learning, to ...

  • JPMorgan Chase Bank, N.A.

    Fraud Risk Machine Learning Modeling

    20 hours ago

    JPMorgan Chase Bank, N.A. Mumbai, India

    As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that im ...

  • Hurix Systems Pvt Ltd

    Hiring Artifical Intelligence/ Machine Learning

    4 days ago

    Hurix Systems Pvt Ltd Mumbai, India

    Proficiency in programming languages such as Python, Java, or C++, and experience with AI and ML libraries and frameworks (e.g., TensorFlow, PyTorch) · Experience with data manipulation, feature engineering, and data visualization tools (e.g., Pandas, NumPy, Matplotlib). · Strong ...

  • i-Qode Digital Solutions Private Limited

    Machine Learning

    1 week ago

    i-Qode Digital Solutions Private Limited Mumbai, India

    JobDescription: · Responsibilities: Lead the endtoend development of machinelearning models and systems from data preprocessing and featureengineering to model training evaluation anddeployment. Design and implement machinelearning algorithms and techniques including but not limi ...

  • Avataryug

    Machine Learning Internship

    2 weeks ago

    Avataryug Thane, India InternshipSHIP

    As a Machine Learning Intern for our SaaS (Software as a Service) business, you will be an integral part of our Avataryug dynamic team, contributing to the development and enhancement of our machine learning algorithms and models. You will have the opportunity to work on real-wor ...

  • KUNKEL WAGNER (INDIA) PVT LTD

    Machine Learning Engineer

    5 days ago

    KUNKEL WAGNER (INDIA) PVT LTD Mumbai, India

    Job Title Machine Learning Engineer Responsibilities Programming on Predictive Algorithms and Machine Learning to Solve Problems and Optimize Processes for Diverse Industries. Qualifications Master's Degree or a PhD Degree in Applied Mathematics or Computer Science, with 3+ years ...