This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making
Job Summary
This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
Candidates will be responsible for designing ML pipelines, managing model retraining, and creating APIs for model inferencing at scale.
The position requires deep expertise in LLM serving, fine-tuning optimization, and utilizing frameworks like Langchain and Kubernetes within a vibrant community of solvers.
Matching Summary
This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
Skills & Requirements
Must-have
Gen AI and Large Language Models expertise
Python programming with PyTorch or TensorFlow
ML pipeline design using MLflow and SageMaker
Distributed training with DeepSpeed and vLLM
Kubernetes and Docker container orchestration
Langchain, Langgraph, and Flowise frameworks
Nice-to-have
Experience with OLTP and OLAP environments
Knowledge of Kafka and Hadoop ecosystems
Azure Cloud knowledge and Azure DevOps CI/CD
Agile delivery methodologies experience
AWS Professional Solution Architect certification
Understanding of GPU architectures for scaling
Key Requirements
5-8 years of professional experience required
Bachelor of Engineering or Master's degree in relevant field
Proficiency in Python, SQL, and Javascript languages