Senior MLOps/AI Engineer
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:
Claritev pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized and scalable action plans to help our customers thrive. The Senior Machine Learning Operations Engineer will join our growing data science team to take a lead role in architecting and implementing processes and technologies to make machine learning development and deployment pipelines faster, more reliable, reproducible, and efficient.
JOB ROLES AND RESPONSIBILITIES:
1. Contribute to the design and implementation of MLOps, LLM Ops, and AgenticAI Ops, processes to support development and deployment of data science solutions.2. Contribute to the design and implementation of a model monitoring system to track model performance, model behavior, and data characteristics and to support rapid, human-in-the-loop, model retraining and validation when needed.3. Deploy and test machine learning models as containerized services with API endpoints.4. Support integration of machine learning pipelines into other systems and products as needed based on business requirements5. Find opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple projects6. Communicate and collaborate within the data science team and across other departments7. Ensure compliance with HIPAA regulations and requirements8. Demonstrate the company's core competencies and values held within.9. Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.
Qualifications
JOB REQUIREMENTS (Education, Experience, and Training):
* Must have 6+ years professional experience in data science or machine learning with emphasis on engineering. Experience must include deploying machine learning models into production and implementing systems to support MLOps processes. Experience working with recent LLMOps, AgenticAI Ops is strongly preferred.* High level of comfort with Python.* Knowledge of foundational statistical concepts (probability, distributions, inference, etc.).* Comfortable with containerization and orchestration technologies (Docker, Kubernetes, etc.). Experience with DevOps tools and concepts.* Experience building data pipelines and working with common data storage systems (relational databases, object storage, file systems, etc.).* You are and intellectually curious and a self-directed problem solver, keen to work on a variety of projects and independently search for creative solutions.* You communicate clearly and effectively and value diverse perspectives.
* Bachelor's degree in computer science, mathematics, statistics or a related quantitative field (Master's or Doctorate preferred)
The salary range for this position is $165K to $185K. 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.
BENEFITSWe 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 (PPO & HDHP), dental and vision coverage* Pre-tax Savings Account (FSA & HSA)* Life & Disability Insurance* Paid Parental Leave* 401(k) company match* Employee Stock Purchase Plan* Generous Paid Time Off -- accrued based on years of serviceo 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* Employee Assistance Program* 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 benefitsEEO STATEMENTClaritev 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 DEADLINEWe will generally accept applications for at least 5 business days from the posting date or as long as the job remains posted.
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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:
Claritev pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized and scalable action plans to help our customers thrive. The Senior Machine Learning Operations Engineer will join our growing data science team to take a lead role in architecting and implementing processes and technologies to make machine learning development and deployment pipelines faster, more reliable, reproducible, and efficient.
JOB ROLES AND RESPONSIBILITIES:
1. Contribute to the design and implementation of MLOps, LLM Ops, and AgenticAI Ops, processes to support development and deployment of data science solutions.2. Contribute to the design and implementation of a model monitoring system to track model performance, model behavior, and data characteristics and to support rapid, human-in-the-loop, model retraining and validation when needed.3. Deploy and test machine learning models as containerized services with API endpoints.4. Support integration of machine learning pipelines into other systems and products as needed based on business requirements5. Find opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple projects6. Communicate and collaborate within the data science team and across other departments7. Ensure compliance with HIPAA regulations and requirements8. Demonstrate the company's core competencies and values held within.9. Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.
Qualifications
JOB REQUIREMENTS (Education, Experience, and Training):
* Must have 6+ years professional experience in data science or machine learning with emphasis on engineering. Experience must include deploying machine learning models into production and implementing systems to support MLOps processes. Experience working with recent LLMOps, AgenticAI Ops is strongly preferred.* High level of comfort with Python.* Knowledge of foundational statistical concepts (probability, distributions, inference, etc.).* Comfortable with containerization and orchestration technologies (Docker, Kubernetes, etc.). Experience with DevOps tools and concepts.* Experience building data pipelines and working with common data storage systems (relational databases, object storage, file systems, etc.).* You are and intellectually curious and a self-directed problem solver, keen to work on a variety of projects and independently search for creative solutions.* You communicate clearly and effectively and value diverse perspectives.
* Bachelor's degree in computer science, mathematics, statistics or a related quantitative field (Master's or Doctorate preferred)
The salary range for this position is $165K to $185K. 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.
BENEFITSWe 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 (PPO & HDHP), dental and vision coverage* Pre-tax Savings Account (FSA & HSA)* Life & Disability Insurance* Paid Parental Leave* 401(k) company match* Employee Stock Purchase Plan* Generous Paid Time Off -- accrued based on years of serviceo 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* Employee Assistance Program* 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 benefitsEEO STATEMENTClaritev 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 DEADLINEWe will generally accept applications for at least 5 business days from the posting date or as long as the job remains posted.
#LI - VG1
apply to this job