Job Title

Senior Machine Learning Engineer - contract Our client is a leading software consulting company. They are seeking a Senior Machine Learning Engineer to join their team. You will design and implement advanced machine learning solutions, with a focus on LLM development, Snowflake integration, and AWS deployment . This role requires strong technical expertise, handson coding ability, and the ability to collaborate with crossfunctional teams to deliver scalable, productionready solutions. Key Responsibilities: LLM Development: Architect, train, and finetune large language models for enterprise use cases. Data Integration: Build pipelines to connect Snowflake and other data sources to ML workflows. Model Deployment: Implement and optimize ML models in AWS environments, ensuring scalability and reliability. Application Development: Collaborate with product teams to design solutions that enable talk to data functionality and other intelligent applications. Code Quality: Write modular, reusable Python code with strong testing and documentation practices. Performance Optimization: Monitor and improve model accuracy, latency, and resource utilization. Collaboration: Partner with data engineers, cloud architects, and client stakeholders to align technical solutions with business needs. Innovation: Stay current with emerging ML/AI frameworks, tools, and best practices to enhance solution design. Required Skills & Experience: Strong proficiency in Python for ML/AI development. Handson experience with Snowflake for data integration and analytics. Proven track record in LLM development (training, finetuning, deployment). Expertise in AWS services (SageMaker, Lambda, EC2, S3, etc.) for ML workflows. 5 years of experience in machine learning engineering or applied AI roles. Ability to work independently and lead technical initiatives in client environments. Nice to Have: Prior experience building LLMpowered applications , especially talk to data solutions. Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face). Experience in consulting or clientfacing technical roles.