About the project Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. With offices in multiple regions worldwide, Provectus partners with clients globally and is dedicated to leveraging cloud, data, and AI to reimagine how clients operate and compete. Key Responsibilities: - Create ML models from scratch or improve existing models. - Develop ML/AI pipelines that include custom models or APIs as part of the processing. - Collaborate with engineering teams, data scientists, and product managers on deploying production models. - Set up reproducible experimentation environments and maintain pipelines. - Monitor and maintain ML models in production to ensure optimal performance. - Write clear documentation for ML models, processes, and pipelines. Requirements: - Comfortable with standard ML algorithms and underlying mathematics. - Experience with classification and regression tasks, feature engineering. - Experience deploying and monitoring ML models in production. - Experience with NLP, LLMs, or Recommendation engines is a plus. - Strong software engineering skills for modular code development. - Experience with cloud platforms, preferably AWS (e.g., SageMaker, ECS, EMR/Glue, S3, Lambda, SQS). - Excellent communication and problem-solving skills. Nice to Have: - Experience with RAG. - Knowledge of taxonomies or ontologies. - Experience with Spark/Dask, Great Expectations.