Lead Generative AI Engineer
Baker Hughes10 hours ago
Mumbai, IndiaStaff+
Responsibilities
- Build and deploy production-ready generative AI solutions using LLMs, VLMs, and multimodal models.
- Design and operate LLM Ops pipelines covering model versioning, fine-tuning, evaluation, deployment, rollback, and lifecycle management.
- Build AI platforms supporting prompt management, embeddings, vector search, RAG, and tool-calling workflows.
- Integrate generative AI capabilities into enterprise applications using APIs, microservices, and event-driven architectures.
- Implement model CI/CD, automated testing, benchmarking, observability, logging, and cost monitoring.
- Optimize model latency, throughput, accuracy, and cost through quantization, caching, batching, and model routing.
- Collaborate with cloud, data, security, and product teams on security, governance, and responsible AI standards.
- Produce technical documentation and operational runbooks, communicate delivery status and business value, mentor engineers, and contribute to reusable frameworks and platform capabilities.
Requirements
- Master’s degree in computer science, AI, machine learning, or a related field, or equivalent hands-on industry experience; a PhD is preferred but not required.
- Proven experience deploying and operating generative AI models in production rather than only conducting research or experimentation.
- Strong Python proficiency and practical experience with PyTorch, TensorFlow, Hugging Face, and transformer-based architectures.
- Experience with AI platform and MLOps tooling, including model registries, experiment tracking, orchestration, CI/CD pipelines, and monitoring solutions.
- Understanding of cloud-native architectures, containers, and scalable inference patterns such as Kubernetes-based deployments.
- Hands-on experience with RAG systems, vector databases, embeddings, prompt optimization, and evaluation frameworks.
- Strong software engineering practices including testing, code reviews, documentation, and production support.
- Excellent problem-solving, collaboration, and communication skills, with the ability to work across engineering and business teams.
- Ability to own production systems, continuously improve them, and deliver effectively in cross-functional environments.
Benefits
- Flexible hours that allow employees to adjust their workday schedule.
- Contemporary work-life balance policies and wellbeing activities.
- Comprehensive private medical care options.
- Life insurance and disability programs.
- Tailored financial programs and additional elected or voluntary benefits.
- The internal title is Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and Science.
Tech Stack
Categories
About Baker Hughes
Baker Hughes builds equipment, software, and services for energy and industrial operators, spanning oilfield services, turbomachinery and process solutions, LNG and subsea systems, and emissions and asset management. It generates revenue through product sales, long-term service, and digital offerings. A public company (NASDAQ: BKR) headquartered in Houston, it operates in more than 120 countries and organizes its business into Oilfield Services & Equipment and Industrial & Energy Technology.