MLOps Engineer in Manhattan, NY – LockedIn AI
Published on CazVidat LockedIn AI
Apply for the MLOps Engineer role at LockedIn AI in Manhattan, NY. Full-time position with $140,000/year salary. Join a leading AI company driving innovation.
Salary
$140,000 per year
Location
Manhattan, New York, United States
Employment type
Full time
Workplace
Not provided
MLOps Engineer in Manhattan, NY – LockedIn AI
$140,000 per year
Job description
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.
Frequently asked questions
Is this MLOps Engineer position remote or on-site?
This role is based in Manhattan, New York and is not remote.
What is the salary for this MLOps Engineer job?
The salary for this position is USD 140,000 per year.
What kind of experience do I need to apply for this role?
You should have 1-3 years of relevant MLOps or machine learning engineering experience.
What technical skills are required for this job?
You need strong skills in Python and SQL, experience with machine learning frameworks like TensorFlow and PyTorch, and familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
What are the main responsibilities of the MLOps Engineer here?
You will design and maintain MLOps infrastructure, collaborate with data scientists on model workflows, monitor model performance, develop automation pipelines, and document best practices for model lifecycle management.
Do I need a degree or certifications for this position?
A Bachelor's Degree in Computer Science or a related technical field is required, and industry certifications in Cloud or Machine Learning are highly desirable.