Senior Machine Learning Engineer

4 weeks ago


Pune, Maharashtra, India Jobs for Humanity Full time

About the role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Capital Markets AI/ML CoE team. As an ML Engineer, you will be working on developing cutting-edge AI/ML solutions across the organization.

Key responsibilities

  • Design, build, and optimize machine learning models for various applications, such as natural language processing, computer vision, predictive analytics, etc.
  • Data preprocessing and feature engineering: Clean, preprocess, and transform raw data into usable features for model training.
  • Evaluate model performance using appropriate metrics and fine-tune hyperparameters to achieve optimal results.
  • Understanding of GenAI and its applications.
  • Ability to analyze and solve problems using learned techniques and tools.

Requirements

  • 10+ years of industry experience
  • Proficiency in Python.
  • Good-to-have: Experience in additional programming languages (Good to have Java or C# or both).
  • Hands on with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas etc.
  • Rest services using Flask or FastAPI
  • SQLAlchemy, Pydantic data modelling
  • Bachelor's degree in engineering or related field or the equivalent combination of education, training, or work experience
  • Experience of working with at least one relational database.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and AI Studios.
  • Experience with MLOps
  • Solid software engineering skills (version control, testing, debugging).
  • Hands-on experience in solving practical problems using GenAI

What we offer

  • 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.



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