As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working on deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques.

Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality pipelines for AI solutions are also key aspects of the role.

Roles & Responsibilities:

Training data pipeline: format conversion, deduplication, quality filtering

Supervised fine-tuning (SFT) with progressive model scaling

Offline evaluation framework design

Shadow-mode and staged A/B rollout with automated rollback

Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Provide solutions to problems for their immediate team and across multiple teams.

- Lead the design and implementation of AI and machine learning models to meet project requirements.





- Mentor junior team members and support their skilled growth within the AI and machine learning domain.

- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning (ML), Large Language Models (LLMs), Python (Programming Language), AWS AI Services.

- Experience with Large Language Models (LLMs), Python (Programming Language), AWS AI Services.

5+ years hands-on LLM fine-tuning (SFT/DPO)

ML serving infrastructure on AWS GPU instances

Production monitoring with canary deployments

Python, Hugging Face ecosystem, model quantization, end-to-end MLOps CI/CD

- Strong knowledge of deep learning techniques including neural networks and their practical applications.

- Experience in developing and deploying AI models in cloud environments and on-premises infrastructure.

- Familiarity with generative AI models and their integration into production systems.

- Ability to optimize machine learning pipelines for scalability and performance.

Additional Information

- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).

- This position is based at our Bengaluru office.

- A 15 years full time education is required."

📌 AI & Data - AI / ML Engineer (Bengaluru)
🏢 Trigent Software
📍 Bengaluru