Machine Learning Engineer - LLM/Agentic System

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 (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 12/28/2024