MLOps Engineer in Manhattan, New York – LockedIn AI
Published on CazVidat LockedIn AI
Apply for the MLOps Engineer role at LockedIn AI in Manhattan, NY. Full-time position focusing on AI model deployment, automation, and cloud infrastructure.
Salary
$140,000 per year
Location
Manhattan, New York, United States
Employment type
Full time
Workplace
Not provided
MLOps Engineer in Manhattan, New York – 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 company driving innovation in artificial intelligence within a collaborative and fast-paced environment. This full-time role offers the opportunity to bridge machine learning and operations, delivering impactful AI solutions that enhance business outcomes.
Key Responsibilities
- Design, develop, and maintain robust MLOps infrastructure to streamline machine learning model deployment.
- Collaborate closely with data scientists to implement and optimize model workflows for maximum efficiency.
- Continuously monitor model performance and proactively apply necessary adjustments to maintain accuracy.
- Develop automated pipelines for data ingestion, preprocessing, and model training to improve operational efficiency.
- Document processes thoroughly and uphold best practices for model versioning and deployment.
- Partner with cross-functional teams to identify and integrate machine learning opportunities into business processes.
- 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 concepts and experience with frameworks such as TensorFlow or PyTorch.
- Proficient programming skills in Python and SQL.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Hands-on experience with containerization tools (Docker) and orchestration frameworks (Kubernetes).
- 1-3 years of professional experience in an MLOps or related engineering role.
- Industry certifications in Cloud or Machine Learning are highly desirable.
LockedIn AI fosters 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 AI and MLOps in the vibrant tech hub 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.