Lead Data Scientist

Job Description

With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following :

• Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
• Deep experience in predictive analytics and statistical modeling

Deep experience in successfully making use of the following : Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN

Essential Qualifications

B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred

Technical Qualifications (Essential)

At least 1 Generative AI Project designed, developed and delivered to production

Primary Skills

ü Hands-on coding experience in Python, PyTorch, Spark / PySpark, SQL, TensorFlow, NLP Frameworks and similar tools / frameworks

ü Good understanding of business and domain of the applications

ü Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms

ü Hands-on experience in design and development of API based applications for AI and Data Science Projects

ü Expertise in GenAI concepts, RAG and Models fine-tuning techniques

ü Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience

ü Understanding of DevOps pipelines for deployment

Good understanding of Data Engineering lifecycle – data pipelines, data warehouse, data lake

Secondary Skills

ü End to end data engineering project experience using Databricks and Azure Data platform

ü Knowledge of any configuration management tools is desirable

Familiarity with containerization and container orchestration services like Docker and Kubernetes

Functional & Technical Responsibilities

ü Hands-on coding experience in Python, PyTorch, Spark / PySpark, SQL, TensorFlow, NLP Frameworks and similar tools / frameworks

ü Good understanding of business and domain of the applications

ü Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms

ü Hands-on experience in design and development of API based applications for AI and Data Science Projects

ü Expertise in GenAI concepts, RAG and Models fine-tuning techniques

ü Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience

ü Provide technical solutions to sales, pre-sales teams for the proposals

ü Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects

ü Expert knowledge of data modeling and understanding of different data structures

Experience with design of AI / ML solutions either as standalone or integrated with other applications