Lead Data Scientist (GenAI)

Posted on February 6, 2025

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Job Description

  • About the Role:
  • Duration: 6 months + Extendable
  • Location: Remote
  • Timings: General IST
  • Notice Period: Within 15 days or immediate joiner
  • Experience: Minimum 8 Years of relevant exp
  • Interview Rounds: 4
  • Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL).
  • Mandatory Skills:
  • 8+ years of work experience in writing code in Python
  • Experience in using various Python libraries like Pandas, NumPy
  • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)
  • Strong experience on AI assisted coding experience.
  • AI-assisted coding for existing IDE's like vscode.
  • Experimented multiple AI-assisted tools and done research around it.
  • Deep understanding of data structures, algorithms, and excellent problem-solving skills
  • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
  • Machine Learning libraries like Scikit-learn, XGBoost
  • ​Experience in CV, NLP or Time Series.
  • Experience in building models for ML tasks (Regression, Classification)
  • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings
  • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)
  • Experience in distributed training of models on Nvidia GPUs
  • Familiarity in Dockerizing the model and creating model endpoints (Rest or gRPC)
  • Strong working knowledge of source code control tools such as Git, Bitbucket
  • Prior experience of designing, developing and maintaining Machine Learning solutions through its Life Cycle is highly advantageous
  • Strong drive to learn and master new technologies and techniques
  • Strong communication and collaboration skills
  • Good attitude and self-motivated
  • Open communication, flat hierarchy, plenty of individual responsibility
  • Work environment: We have an environment to create an impact on the client's business and transform innovative ideas into reality. Even our junior engineers get the opportunity to work on different product features in complex domains

Required Skills

machine learning (ml) natural language processing (nlp) generative ai (genai) and deep learning (dl) pandas numpy