MLOps Engineer – LockedIn AI

Join LockedIn AI, a pioneering artificial intelligence company located in the vibrant tech hub of Manhattan, New York. We're looking for a dedicated MLOps Engineer to become a key player in our mission to innovate and transform AI-driven business solutions. This full-time, on-site role offers a competitive salary of $140,000 per year, comprehensive health insurance, paid time off, and a retirement plan to support your career growth and personal well-being. As an MLOps Engineer at LockedIn AI, you will bridge the gap between machine learning research and production deployment, working closely with data scientists and cross-functional teams to streamline AI workflows. This position offers excellent career advancement opportunities in a collaborative environment that values creativity and continuous learning. Key Responsibilities Design, develop, and maintain robust MLOps infrastructure to enable efficient deployment and scaling of machine learning models. Collaborate with data scientists to implement and optimize end-to-end model workflows, ensuring seamless integration into business processes. Monitor model performance metrics continuously and apply proactive adjustments to maintain accuracy and reliability. Develop automation pipelines for data ingestion, preprocessing, and model training to accelerate deployment cycles. Document all processes and enforce best practices for model versioning, testing, and deployment. Work cross-functionally with engineering, product, and operations teams to identify new opportunities for AI integration that drive measurable business impact. Analyze performance data and provide actionable insights to enhance model efficacy and operational efficiency. What We're Looking For Required: Bachelor's Degree in Computer Science, Engineering, or a related technical field. Proficiency in machine learning frameworks such as TensorFlow and PyTorch. Strong programming skills in Python and SQL for data manipulation and automation. Experience with cloud platforms including AWS, Azure, or Google Cloud for scalable deployments. Hands-on knowledge of containerization tools like Docker and orchestration with Kubernetes. 1-3 years of professional experience in MLOps or related roles. Preferred: Industry-recognized certifications in Cloud Computing or Machine Learning. Familiarity with CI/CD pipelines and infrastructure as code (IaC) tools. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. What We Offer Competitive salary of $140,000 per year with performance bonuses. Comprehensive health insurance including medical, dental, and vision coverage. Paid time off to support work-life balance and personal wellness. Retirement plan with company matching to secure your financial future. Professional development opportunities including training, conferences, and certifications. Collaborative and innovative culture with a flat organizational structure encouraging open communication. Frequently Asked Questions Is this position fully on-site? Yes, this role is based on-site in Manhattan, New York, and is not eligible for remote work. What is the expected career growth for this role? LockedIn AI supports continuous learning and advancement, with opportunities to grow into senior MLOps or AI engineering leadership roles. What technologies will I primarily work with? You will work extensively with Python, TensorFlow, PyTorch, Docker, Kubernetes, and cloud platforms such as AWS or Google Cloud. Are there opportunities for professional training? Yes, we offer access to industry conferences, workshops, and certification programs to enhance your skills. What is the application process? After submitting your application, qualified candidates will be contacted for a technical interview and cultural fit assessment. Does LockedIn AI provide benefits beyond salary? Absolutely, including health insurance, paid time off, and a retirement plan to ensure your overall well-being. For more informat