Posted:15 hours ago|
Platform:
On-site
Contractual
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
AI/ML Engineer with expertise in Google LLMs, prompt design, fine-tuning, RLHF, and A2A orchestration.
Experience Level: 5-8 years
JD
Design and optimize prompt engineering strategies.
Fine-tune LLMs using domain-specific datasets.
Apply RLHF to improve agent decision-making.
Implement agents using Vertex AI, PaLM, Gemini.
Collaborate on agent architecture and evaluation.
Use MCP to standardize agent interaction.
Proficient in Python, TensorFlow, JAX, PyTorch.
Hands-on with Vertex AI, Gemini, AutoML.
Knowledge of transformers, LoRA, quantization, PEFT.
Experience with ADK, A2A, MCP protocols.
Prompt tuning and chain-of-thought expertise.
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