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Machine Learning Engineer

This role is for a Machine Learning Engineer in Cincinnati, OH, offering a contract-to-hire position with a pay rate of "unknown." Requires 3-5+ years in machine learning, experience in regulated industries, and proficiency in Python, R, SQL, and DevOps tools.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Cincinnati, OH
🧠 - Skills detailed
#Automation #GitHub #Java #R #Snowflake #Jira #Programming #Docker #SQL (Structured Query Language) #Databases #Deployment #Data Integration #AI (Artificial Intelligence) #DevOps #Kubernetes #ML (Machine Learning) #Python #Jenkins #Terraform
Role description
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Encore Talent Solutions is currently searching for a AI/ML Engineer for an end client requirement in Cincinnati, OH. This is a contract to hire role and onsite 5days/week.

• preference for local candidates.

• Visa sponsorship is not available.

Key Responsibilities:
• Develop and implement a secure, automated deployment pipeline.
• Educate and mentor team members on MLOps practices.
• Balance engineering tasks with change management and training.
• Enhance MLOps capabilities with advanced tools and techniques.

Preferred Experience:
• Experience in highly regulated industries like banking, finance, or healthcare.

Qualifications:
• Experience:
• Minimum of 3-5+ years of experience in machine learning and MLOps.
• Experience with data integration and management using IBM DB2 and Snowflake (or like databases)
• Strong understanding of CI/CD pipelines and automation tools.
• Technical Skills:
• Proficiency in programming languages such as Python, R, SQL and/or Java.
• Use of DevOps tools such as Jira, Terraform, GitHub, Jenkins
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

Encore Talent Solutions is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.