Machine Learning Engineer - LLM/Agentic System (6-8 yrs)

About the Role :

Job Title : ML Engineer(LLM) - Contractual Job

Monthly Pay : 1,76,000

Duration : 9 months

Location : LRDE Layout, Doddanekundi, Doddanekkundi, 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 FaceTransformers, 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