Senior Engineering Consultant-AI Science
HybridBengaluru, Karnataka, India or Hyderabad, Telangana, India
Job Summary
Design, develop, and optimize Artificial Intelligence, SLM/LLM, and Agentic solutions to resolve diverse real-world problems by implementing new algorithms and defining APIs. Build larger, coherent toolsets and libraries while performing performance/accuracy tuning and analysis, including orchestration, fine-tuning, and model serving in production environments. Communicate complex model designs and outcomes in business terms to non-technical audiences and contribute to research and development of novel generative models. This hybrid role requires 40 weekly hours and includes work from home and assigned office days.
Required Qualifications
- Four or more years of experience in cognitive analytics and AI Modeling
- Experience working in a collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms
- Hands-on experience in large-scale distributed systems capable of performing end-to-end AI training and SLM & LLM modeling includes orchestration, fine tuning, model serving in production environment (batch/real time)
- Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals
- Ability to communicate complex model designs and outcomes in business terms to a non-technical audience
- Knowledge of GPU/CPU architecture and distributed computing
- Working knowledge in advance Prompt engineering and optimizations techniques
- Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning
- Experience in Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields
- Contribute to the research and development of novel generative models, exploring new algorithms and methodologies
- Good understanding and ability to explain both the code and the underlying math used in algorithms/models
- Proficiency in programming languages such as C/C++, Python, Java, debugging, performance analysis and relevant AI libraries/frameworks (TensorFlow, PyTorch, etc.)
- Ability to work in a multifaceted, product-centric environment with excellent interpersonal skills
- Experience in Research, prototype, and develop effective tools and infrastructure pipelines
Desired Qualifications
- Advance degree in computer science, Mathematics, Data science or similar field preferred
- Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning (Image, Video, Speech etc.)
- Advance knowledge of mathematics, Statistics and algorithms
- Experience in GCP/Azure/AWS or any other cloud technology
- Hands-on experience with inference and deployment environments
- Publish innovative results on Github, scientific publications and patents
- Familiarity with telecommunications industry data and use cases
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