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Data Scientist/Machine Learning Engineer

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Citi

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization.

Job Responsibility:

  • Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks
  • Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team
  • Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation
  • Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field
  • Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services

Requirements:

  • 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production
  • Experience with Generative AI technologies essential
  • Understanding of concepts like supervised, unsupervised, clustering, embedding
  • Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models
  • In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar
  • Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV
  • Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras
  • Proficiency in Python Software Development, following Object-Oriented design patterns and best practices
  • Strong background in mathematics: linear algebra, probability, statistics, and optimization
  • Experience with evaluation, scoring with framework like ML Flow
  • Experience of Docker container and edited a Docker file
  • Excellent problem-solving skills and the ability to think creatively
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Master’s degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field
  • 8-12 years of experience

Nice to have:

  • Publications and contributions to the AI research community are a plus
  • Experience with K8s is a plus
  • Experience with Postgres and Vector DBs a plus

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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