Lead Data Scientist (GenAI)

This is a remote position.

About Awign Expert:

Awign Expert is an enterprise-focused platform that helps businesses Hire, Assess and Manage highly skilled resources for Gig Based Projects. We provide our Experts a gateway to work for and build a freelance/consulting career with large-scale Enterprises. We are a newly launched business division of Awign, which is one of the pioneers and currently the largest player in the Gig Economy in India. Here at Awign, we are changing how the world works with a vision to uplift millions of Careers.

About the client -

This company provides AI-enabled digital solutions across various industries, including healthcare, engineering, and content management. With a global presence spanning the USA, UK, Netherlands, and India, they have delivered over 800 projects, maintaining long-term associations with over 70% of their clients.

Role: Lead Data Scientist (GenAI)

Location: WFH

Duration: 6 months + Extendable

Priority: High

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