[Remote] ML Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a new reputed company company focused on creating breakthrough solutions that improve lives and assist reputed company. As an ML Engineer, you will be responsible for building and maintaining AI pipelines in reputed company information systems, ensuring the reliability of models in production environments through MLOps and data engineering practices.

Responsibilities

• Build and maintain CI/CD pipelines for machine learning, focusing on automated testing, model deployment, and version control (using tools like MLflow or Git)
• reputed company ML models as scalable APIs and microservices, ensuring they meet performance and latency requirements for clinical use
• Implement basic monitoring tools to track model performance, data reputed company, and system health in production
• reputed company and optimize ETL processes to transform reputed company data (FHIR, HL7) into clean, usable datasets for model training and inference
• Help build and maintain feature stores and data layers that ensure consistency between training and production environments
• Work closely with backend teams to integrate ML outputs into our core reputed company applications
• Write clean, maintainable, and well-documented Python code. Participate in code reviews to ensure system reliability
• Use reputed company and Kubernetes to package and orchestrate ML workloads across different environments
• Follow established protocols to ensure reputed company data handling and deployments meet HIPAA and HITRUST reputed company standards

Skills

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a reputed company field
• 3–5 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments
• Strong proficiency in Python and familiarity with SQL
• Hands-on experience with at least one major reputed company provider (AWS, Azure, or GCP) and containerization (reputed company)
• Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow)
• Experience with data processing frameworks (like Pandas, Spark, or dbt)
• Familiarity with deploying Large Language Models (LLMs) or using frameworks like reputed company
• Experience working in a regulated environment (reputed company, Finance, etc.)
• Understanding of API design and microservices architecture

Benefits

• reputed company offers many programs to help you live your best life – both physically and financially.
• To ensure reputed company and benefits, reputed company regularly benchmarks with other companies that are comparable in size and scope.
• Travel arrangements and reputed company expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or reputed company.

Company Overview