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Job Description
- Lead the architecture, development, and deployment of scalable machine learning systems, focusing on real-time inference for LLMs serving multiple concurrent users.
- Optimize inference pipelines using high-performance frameworks like vLLM, Groq, ONNX Runtime, Triton Inference Server, and TensorRT to minimize latency and cost.
- Design and implement agentic AI systems utilizing frameworks such as LangChain, AutoGPT, and ReAct for autonomous task orchestration.
- Fine-tune, integrate, and deploy foundation models including GPT, LLaMA, Claude, Mistral, Falcon, and others into intelligent applications.
- Develop and maintain robust MLOps workflows to manage the full model lifecycle including training, deployment, monitoring, and versioning.
- Collaborate with DevOps teams to implement scalable serving infrastructure leveraging containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).
- Implement retrieval-augmented generation (RAG) pipelines integrating vector databases like FAISS, Pinecone, or Weaviate.
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- Build observability systems for LLMs to track prompt performance, latency, and user feedback.
- Work cross-functionally with research, product, and operations teams to deliver production-grade AI systems handling real-world traffic patterns.
- Stay updated on emerging AI trends, hardware acceleration techniques, and contribute to open-source or research initiatives where possible.
Skills
Machine LearningAiData ScienceData ScientistIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
EXL, a leading operations management and analytics company, specializes in helping businesses enhance their decision-making and operational efficiencies through data-driven insights. EXL careers offer a variety of opportunities in analytics, business process management, and technology services. These EXL careers appeal to professionals eager to work in a dynamic environment where innovation and strategic problem-solving are key. EXL promotes a culture of growth and learning, encouraging employees to continually develop their skills. For those interested in working at the intersection of technology and business, the EXL careers page provides comprehensive details about current job opportunities, employee experiences, and the supportive, inclusive culture at EXL.
Important dates & deadlines?
Application Deadline
18 Dec 25, 03:45 PM IST
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Lead Assistant Manager-Data Science-Data Scientist
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