Data Scientist

Tata Consultancy Services; Gurugram District, Dadri; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Tata Consultancy Services is seeking a skilled Data Scientist in Gurugram. The role involves developing advanced algorithms and models, with a particular focus on generative AI and large language models.

The ideal candidate should have a strong background in statistical analysis, machine learning, and deep learning, and be proficient in Python or R. You will collaborate with various teams to define project goals and integrate AI models into production environments.

Qualifications

• Strong knowledge of statistical analysis, machine learning, and deep learning.
• Proficiency in Python or R, with relevant libraries.
• Experience in deploying AI/Gen AI systems in production.

Responsibilities

• Develop advanced algorithms and models to extract insights from complex datasets.
• Conduct exploratory data analysis to identify patterns and correlations.
• Collaborate with teams to define project objectives and integrate AI models into production.

Skills

Statistical analysis

Machine learning

Deep learning

Python

R

MLOps

Cloud-based AI services

Education

Advanced degree in mathematics or related field

Tools

Amazon Web Services (AWS)

Azure

Google Cloud Platform (GCP)

TensorFlow

PyTorch

Job description

1. Advanced degree in mathematics, statistics, computer science, or related field.
2. Strong knowledge of statistical analysis, machine learning, and deep learning.
3. Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).
4. Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.
5. Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.
6. Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution.
7. Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.
8. Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.
9. Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.
10. Implementing MLOps practices for model deployment, monitoring, and management.
11. Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
12. Staying updated with the latest advancements in data science, generative AI, and cloud AI services.
13. Experience in developing and deploying AI/Gen AI based systems in production.
14. Mentoring junior data scientists and providing technical guidance.