Senior Data Scientist

Tata Technologies; Pune City; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading technology services company in Pune is seeking a Mid-Senior level professional with at least 4 years of experience in developing MI Modules on AWS and Azure. The ideal candidate should have solid programming skills in Python, Java, and C++, along with hands-on experience in ML frameworks like PyTorch and TensorFlow. This full-time position offers opportunities to work on cutting-edge generative AI models and algorithms.

Qualifications

• Minimum 4 years of experience developing MI Modules on AWS and Azure.
• Solid understanding of common programming languages and debugging skills.
• Minimum 2 years of experience with ML frameworks like PyTorch and TensorFlow.

Responsibilities

• Design and implement generative AI models using state-of-the-art techniques.
• Experience with deep learning, data manipulation, and training of LLM models.
• Fine-tuning of LLMs and knowledge of metrics for RAG applications.

Skills

AWS

Python

Machine Learning

Java

C++

R

PyTorch

TensorFlow

Data Visualization

REST API

NoSQL Databases

RDBMS Design

Generative AI

NLP

CI/CD

JIRA

Job description

Responsibilities

• Minimum 4 years of experience with developing MI Modules on AWS, Azure cloud and opensource OLLAMA models, etc.
• Solid understanding of common programming languages and debugging skills used in AI, such as Python, Java, C++, and R.
• Minimum 2 years of experience working with ML frameworks like PyTorch, TensorFlow.
• Familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Python programming minimum 3 years.
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
• Experience working with transformer models in NLP and model setting.
• Familiarity with ML ops tooling/platforms (i.e.) Weights and Biases, Anyscale, Sagemaker, etc
• Fine tuning of LLMs
• Knowledge of relevant metrics for RAG applications
• Ability to analyze operational incidents (customer interaction, log file analysis)
• Experience with deep learning, machine learning, data manipulation, training of LLM models
• Good coding skills in Spark/Pyspark, Python and SQL
• Good Knowledge of AWS tools, Glue, Redshift, Athena and S3
• Good knowledge of CI/CD (Github / Github Actions, Terraform)
• JIRA

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting