Lead Data Scientist - Machine Learning Solutions (8-12 yrs)

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).

- 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