MLOps Engineer in Manhattan, NY – LockedIn AI

Join LockedIn AI as an MLOps Engineer based in Manhattan, New York. Be part of a cutting-edge AI technology company driving innovation and transformation in the tech industry. This full-time role offers a dynamic, collaborative environment where your expertise will bridge machine learning and operations to deliver impactful AI solutions that fuel business growth. Key Responsibilities Design, develop, and maintain robust MLOps infrastructure to streamline machine learning model deployment. Collaborate closely with data scientists to implement and optimize end-to-end model workflows. Monitor and analyze model performance, applying proactive adjustments to ensure reliability and accuracy. Develop automation pipelines for data ingestion, preprocessing, and model training to improve efficiency. Document processes and uphold best practices for model versioning, deployment, and lifecycle management. Partner with cross-functional teams to identify opportunities for integrating machine learning into business operations. Analyze performance metrics and provide actionable insights to enhance model effectiveness. Required and Preferred Qualifications Bachelor's Degree in Computer Science or a related technical field. Strong understanding of machine learning frameworks such as TensorFlow and PyTorch. Proficient programming skills in Python and SQL. Experience with cloud platforms like AWS, Azure, or Google Cloud. Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes). 1-3 years of relevant MLOps or machine learning engineering experience. Industry certifications in Cloud or Machine Learning are highly desirable. At LockedIn AI, we foster a culture of collaboration and innovation with a flat organizational structure that encourages open communication and shared success. Join us to advance your career in a fast-paced AI environment located in the heart of Manhattan.