Machine Learning Operations Engineer(remote)

NLP PEOPLE; Irving (TX); Remote; USD 120,000 - 140,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Ops Engineer, where you'll play a pivotal role in optimizing AI and machine learning systems in healthcare. This position involves designing efficient ML Ops processes, collaborating with data scientists, and ensuring compliance with regulations. Enjoy a supportive work environment with competitive benefits, including medical coverage, a 401(k) plan, and generous paid time off. If you're passionate about technology and innovation, this opportunity is perfect for you!

Benefits

Medical, dental, and vision coverage

401(k) + match

Employee Stock Purchase Plan

Generous Paid Time Off

Tuition reimbursement

Flexible Spending Account

Employee Assistance Program

Short and long-term disability

Paid Parental Leave

Summer Hours

Qualifications

• 2+ years of experience in data science with a focus on engineering.
• Strong understanding of AI/ML concepts and deployment.

Responsibilities

• Design and improve ML Ops processes for AI/ML systems.
• Collaborate with data science teams to deploy models.

Skills

Python

Data Engineering

Machine Learning

API Design

DevOps

Education

Bachelor’s degree in Computer Science

Master’s degree in relevant field

Tools

Git

Kubernetes

Relational Databases

NoSQL

Job description

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple – we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders – internal and external – driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY: The Machine Learning Ops Engineer will support the creation and implementation of processes and technologies to make the development, deployment, and operation of AI and Machine Learning systems more efficient, effective, and responsible.

Job Roles And Responsibilities
• Contributes to the design, implementation, and ongoing improvement of ML Ops processes to enable the development and effective usage of AI and Machine Learning (ML) systems within Multiplan.
• Contributes to the design and development of reusable tools (python-based) and processes to support easy application of best practices in areas such as Responsible AI.
• Partner with data science developers to build and test AI/ML systems and deploy them to production.
• Support model monitoring activities to maintain the health of AI/ML systems in operation.
• Contribute to the operation and administration of our AI/ML development platform.
• Communicate and collaborate within the data science team and across other departments.
• Collaborate, coordinate, and communicate across disciplines and departments.
• Ensure compliance with HIPAA regulations and requirements.
• Demonstrate Company’s Core Competencies and values held within.
• Please note due to the exposure of PHI sensitive data — this role is considered to be a High Risk Role.

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JOB REQUIREMENTS (Education, Experience, And Training)
• Minimum Bachelor’s degree, in computer science, mathematics, statistics or other quantitative field such as physics, operations research, etc. Master’s degree preferred.
• Minimum 2+ years professional experience in data science with emphasis on engineering and production operations (1+ years with a Master’s degree)
• Required licensures, professional certifications, and/or Board certifications as applicable
• High level of comfort with Python
• Working knowledge of foundational data science concepts such as probability, distributions, modeling algorithms, etc.
• Comfortable building data engineering pipelines and working with common data storage systems (relational databases, object storage, NoSQL, etc.)
• Experience with DevOps tools and concepts such as git and version control
• Be keen to work on a variety of projects and independently search for creative solutions with minimal supervision
• You communicate complex topics clearly and effectively and value diverse perspectives
• Experience deploying AI/ML models into production preferred.
• Familiarity with AI/ML operational technologies used internally (containers, Kubernetes, etc.) preferred.
• Comfortable with API design, construction, and testing preferred.
• Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone

Compensation

The salary range for this position is $120K to $140K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

Benefits

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your Benefits Will Include
• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off – accrued based on years of service
• WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Summer Hours
• Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.

EEO STATEMENT

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

APPLICATION DEADLINE

We will generally accept applications for at least 15 calendar days from the posting date or as long as the job remains posted.

Company:

Claritev

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States