ML Engineer (LLM)

Title :  ML Engineer(LLM)

Location :   Bengaluru, Karnataka

Timings :  Full Time (As per company timings)

Notice Period :  (Immediate Joiner - Preferred)

Experience :  6+ Years

Experience :  6+ years in AI and machine learning, with hands-on expertise in LLMs and

agentic system development and deployment.

Proficiency in NLP LLMs :  Strong experience with large language models (GPT-3 / 4, Claude, etc, and understanding of transformer architectures, pretraining / fine-tuning, prompt engineering, and task adaptation.

Agentic Systems Expertise :  Knowledge in creating and deploying agentic systems with a goal-oriented design, leveraging reinforcement learning (RL) or other methods for autonomous task management.

Technical Skills :  Advanced proficiency in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), and data processing libraries (Pandas, NumPy).

MLOps Deployment :  Experience with MLOps practices, particularly for deploying large models and agentic systems in production environments (Docker, Kubernetes, MLFlow, or similar).

Data Management :  Familiarity with data engineering principles, including handling large datasets and real-time processing for model training, and experience with cloud platforms (AWS, GCP, Azure).

Independent Problem Solving :  Strong analytical skills with a proven track record of working independently to solve complex AI challenges.

Communication Skills :   Ability to clearly articulate technical concepts and AI-driven insights to non-technical stakeholders and document work for continuity.

Driving Results :

• Good single contributor good team player.
• Flexible attitude towards work, as per the needs.
• Proactively identify communicate issues and risks.

Other Personal Characteristics :

Skills Required

Llm, MLops, Docker, Kubernetes, Aws