Senior Data Scientist (5-12 yrs)

Roles and Responsibilities:

- As an Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.

- Engage with clients to understand current and future business goals and translate business problems into analytical frameworks.

- Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs.

- Create repeatable, interpretable and scalable models.

- Effectively communicate the analytics approach and insights to a larger business audience

- Collaborate with team members, peers and leadership and client companies.

Qualification & Skills:

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

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

- Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain)

- 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.

- Must have exposure Model Development.

- Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models

- Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.

- Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.

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

- Advanced SQL skills with SQL Server and Spark experience.

- 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 data visualization tools - PowerBI, Tableau, R Shiny, etc. preferred

- Experience with cloud platforms such as Azure, AWS is preferred but not required.