Senior Data Scientist - Deep/Machine Learning (5-8 yrs)

Job Description :

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 :

- 5+ years of work experience in writing code in Python, extensive experience is required as a python programmer.

- Strong in Pytest testing framework.

- 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 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 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