At Provectus, we empower businesses to unlock value and accelerate their transformation through bespoke Artificial Intelligence solutions. We are a Premier AWS partner with offices in North America, LATAM, and EMEA, dedicated to leveraging cloud, data, and AI to reimagine how clients operate and compete. Key Responsibilities: - Create Machine Learning models from scratch or improve existing ones. - 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.