Lead Data Scientist

2 months ago

Hyderabad, India Veltris Full time
Lead Data Scientist

Relevant Experience: 8 - 13 Years

Work Location: Hyderabad

Working Days: 5 Days

Notice Period: Immediate or 15 days maximum

Mandatory Skills- Machine Learning (ML), NLP, DL, Generative AI (Gen-AI), Python

JD-

5+ 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)

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 Mechanism, Embeddings

Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure)

Experience in distributed training of models on Nvidia GPU’s

Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

Strong working knowledge of source code control tools such as Git, Bitbucket

Prior experience of designing, developing and maintaining Machine Learning solution 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

Work environment – we have an environment to create an impact on the client business and transform innovative ideas into reality. Even our junior engineers get the opportunity to work on different product features in complex domains

Open communication, flat hierarchy, plenty of individual responsibility

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