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FIS

Senior Lead Engineer - Development (Machine Learning, Python)

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Pune, Mahārāshtra
Pune, Mahārāshtra

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    Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. 

    About the team 

    The Capital Markets AI/ML CoE team is a horizontal CoE for Capital Markets that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.

    The Capital Markets is one of the two verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.

    The team consists of highly motivated solution architects, data scientists and ML engineers.

    What you will be doing 

    As a Senior Software Engineer (ML Engineer), you will be working on developing cutting-edge AI/ML solutions across the organization.

     What you bring: 

    • 7+ years of industry experience
    • Hands-on experience in application design and development in Python
    • Hands-on experience if working on GenAI based applications.
    • Experience with data analysis, data preprocessing, building machine learning models, model optimization, model evaluation.
    • Good understanding of machine learning concepts around regression, classification, clustering, dimensionality reduction etc.
    • Ability to analyze and solve problems using learned techniques and tools.
    • Proficiency in application development in Python
    • Good-to-have: Experience in additional programming languages (Good to have Java or C# or both).
    • Rest services using Flask or FastAPI
    • Experience of working with at least one relational database.
    • SQLAlchemy, Pydantic data modelling
    • Working knowledge of ML libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas etc.
    • Good to have - Experience with cloud platforms (e.g., AWS, GCP, Azure) and AI Studios.
    • Good to have - Experience with MLOps.
    • Solid software engineering skills (coding best practices, version control, debugging).
    • Hands-on experience in solving practical problems using GenAI.

    What we offer you 

    • A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
    • A broad range of professional education and personal development possibilities – FIS is your final career step!
    • A competitive salary and benefits
    • A variety of career development tools, resources and opportunities

    Privacy Statement

    FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

    Sourcing Model

    Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

    #pridepass

    FIS Chennai, Tamil Nadu, IND Office

    Chennai, Tamil Nadu, India

    What you need to know about the Chennai Tech Scene

    To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
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