Generative AI Engineer

About Client:

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.

Job Title: Generative AI Engineer

Key Skills:

Job Locations: Gurugram

Experience: 6 - 8

Budget:

Education Qualification

Work Mode:

Employment Type:

Notice Period:

Interview Mode:

Experience Requirements:

6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production.

Technical Expertise:

Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks: OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures: Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques: LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC

Cutting-Edge Technology:

Access to premium GPU clusters A100s for training and experimentation Latest hardware and software tools to support your research and development Freedom to explore breakthrough AI technologies and methodologies Work on groundbreaking problems that haven't been solved before Collaborate with world-class researchers and engineers from top universities and tech companies Contribute to open-source projects and publish your research

Core Responsibilities:

Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders

pnomula@people-prime.com