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:

• Dynamic, engaging, self-reliant developer
• Ability to deal with ambiguity
• Manage a collaborative and analytical approach
• Self-confident and humble
• Open to continuous learning
• Intelligent, rigorous thinker who can operate successfully amongst bright people