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Machine Learning Engineer- Cloud Deployment
4 weeks ago
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, hands‑on coding ability, and the ability to collaborate with cross‑functional teams to deliver scalable, production‑ready solutions. Architect, train, and fine‑tune 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: 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. Strong proficiency in Python for ML/AI development. ~ Hands‑on experience with Snowflake for data integration and analytics. ~ Proven track record in LLM development (training, fine‑tuning, 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. Prior experience building LLM‑powered applications , especially “talk to data” solutions. Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face). Experience in consulting or client‑facing technical roles.
