ML Engineer (LLM)

People's Growth HR Solutions; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A technology solutions firm in Bengaluru seeks an experienced AI and Machine Learning professional with over 6 years of expertise in developing and deploying LLMs. The role requires advanced proficiency in Python and relevant ML libraries, as well as experience with MLOps practices. Candidates should be able to articulate technical concepts clearly and solve complex challenges independently. The position offers full-time engagement and a collaborative work environment.

Responsibilities

• Work independently to solve complex AI challenges.
• Communicate technical concepts to non-technical stakeholders.
• Collaborate effectively while being a single contributor.

Skills

AI and Machine Learning Expertise

Proficiency in NLP & LLMs

Agentic Systems Expertise

Advanced Python Skills

MLOps and Deployment Knowledge

Data Management Skills

Independent Problem Solving

Communication Skills

Tools

Hugging Face Transformers

TensorFlow

PyTorch

Pandas

NumPy

Docker

Kubernetes

MLFlow

Job description

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

• 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