Scan your resume against ATS criteria for this ML Engineer (LLM) role at People's Growth HR Solutions.
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:
How to apply for ML Engineer (LLM) at People's Growth HR Solutions?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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