Senior Data Scientist

Required Skills and Experience:

• Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

• 6+ years of experience in data science, building hands-on ML models.

• Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning

• Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation

• Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc

• SQL skills with SQL Server and Spark experience is preferred but not necessary.

• Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks

• Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.

• Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment

• Experience with cloud platforms such as Azure, AWS, Databricks is preferred

Responsibilities

Key Responsibilities:

• 6+ years of experience as a NLP and Python developer.

• Experience with Pandas, NumPy, Scikit, NLP a must have

• Key fundamentals in object-oriented design, data structures and systems.

• Ability to integrate multiple data sources into a single system.

• Familiarity with testing tools.

• Ability to collaborate on projects and work independently when required.

• Working knowledge of GitHub and Jira

• Ability to document requirements and specifications.

• Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.

• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.

• Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation

• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.

• Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.

• Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.

• Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.

Qualifications

Bachelor's/Master's in Engineering 5-8 years