Data, AI & Machine Learning

Actively Reviewing the Applications

Jase HR Solutions

India, Karnataka, Bengaluru Full-Time On-site

Posted 12 hours ago • Apply by June 15, 2026

Job Description

Key Responsibilities

As a Senior Data Scientist specializing in Generative AI, you will:
Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.
Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.
Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).
Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.

Qualifications

Your Skills & Experience:

Bachelor s degree in computer science, data science, mathematics, or a related field.
At least two years experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities. Set Yourself Apart With:
Experience in Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms
ML Model deployments and serving
Model Monitoring, Management and Governance
ML Feature Store and Artefact Store
Orchestration and ML Pipelines Benefits of Working Here