MLOps Engineer – LockedIn AI | Manhattan, NY
Published on CazVidat LockedIn AI
Join LockedIn AI as an MLOps Engineer in Manhattan, NY. Build model deployment infrastructure and automation pipelines. Full-time, on-site role.
Salary
$140,000 per year
Location
Manhattan, New York, United States
Employment type
Full time
Workplace
Not provided
MLOps Engineer – LockedIn AI | Manhattan, NY
$140,000 per year
Job description
LockedIn AI is hiring a full-time MLOps Engineer in Manhattan, New York. In this on-site role, you will help bridge machine learning and operations by building infrastructure and workflows that support reliable AI model deployment. Collaborate with data scientists and cross-functional teams to deliver and improve machine learning solutions.
Key Responsibilities
- Design, develop, and maintain MLOps infrastructure for deploying machine learning models.
- Partner with data scientists to implement and optimize model workflows.
- Monitor model performance and make adjustments to support model efficacy.
- Build automated pipelines for data handling, preprocessing, and model training.
- Document processes and maintain best practices for model versioning and deployment.
- Identify opportunities to integrate machine learning into business processes with cross-functional teams.
- Analyze performance metrics and share insights to improve models.
Required and Preferred Qualifications
- Bachelor’s degree in computer science or a related field.
- Knowledge of machine learning concepts and frameworks such as TensorFlow or PyTorch.
- Programming skills in Python and SQL.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with Docker and orchestration tools such as Kubernetes.
- One to three years of experience in a similar role; suitable for junior to mid-level candidates.
- Cloud or machine learning certifications are highly preferred, if applicable.
Position Details
- Employer: LockedIn AI
- Location: Manhattan, New York, United States
- Work arrangement: On-site; not remote eligible
- Job type: Full-time
- Pay: $140,000 per year
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.