CAREER PORTAL

Decision Science, MLE Manager

Yoh has an exciting   opportunity for a Decision Science, MLE Manager   to join our  Global  Entertainment  client.  The ideal candidate will have 7+ years of relevant working experience & Master’s or Ph.D. in Computer Science, Engineering, AI/ML, Information Systems, or a related quantitative field for a Fully Remote Opportunity.
See below for abbreviated job responsibilities and requirements. If after reviewing, you are interested in learning more about this, or other opportunities, please apply with your updated resume ASAP.

Title:  Decision Science, MLE Manager
Compensation:  $100-125/hr
Type:  12-Month Contract
Industry:  Entertainment

Responsibilities

• Lead the design and implementation of efficient, reliable, and scalable decision science pipelines and tools around AI/ML, optimization, and simulation models.
  
  
• Provide architectural leadership, perform design reviews, and guide system-level decision-making to ensure long-term platform scalability and stability.
  
  
• Mentor engineers and scientists on building modular, configurable, and reusable components.
  
  
• Present technical designs, performance improvements, and tool benefits to internal teams and stakeholders to encourage adoption of reusable AI/ML components.
  
  
• Define the vision and roadmap for reusable engineering capabilities that support large-scale model deployment, hosting, and monitoring.
  
  
• Foster a culture of quality, innovation, and continuous improvement.
  
  
• Collaborate closely with product managers, data scientists, and partner teams to define requirements, architecture, and integration strategies that deliver measurable value.
  
  
• Troubleshoot complex CI/CD and integration challenges across environments.
  
  
• Establish and enforce engineering best practices around code quality, maintainability, and operational standards.
  
  
• Contribute to cross-team knowledge sharing and technical collaboration initiatives.
  
  

Required Qualifications & Skills

• Proven ability to lead complex technical initiatives from concept to deployment, balancing technical rigor with business priorities.
  
  
• Experience mentoring and providing technical direction to engineering and data science teams.
  
  
• Strong proficiency in Python, including object-oriented programming, exception handling, unit testing, and model pipeline development.
  
  
• Experience with key ML and AI frameworks (e.g., scikit-learn, Pandas, TensorFlow, PyTorch, Keras).
  
  
• Deep understanding of AI/ML methods, including LLMs, Knowledge Graphs, and Generative AI, as well as traditional ML algorithms and statistical modeling techniques.
  
  
• Familiarity with prompt engineering methodologies and GenAI applications.
  
  
• Understanding of distributed computing frameworks (e.g., Ray, Spark, Dask) and knowledge graph databases (e.g., Neo4j, TigerGraph, ArangoDB).
  
  
• Experience with modern DevOps and MLOps tooling, including Git, CI/CD pipelines, containerization (Docker), and cloud platforms (AWS or equivalent).
  
  
• Solid grasp of Agile software development practices, version control, and infrastructure automation.
  
  
• Strong analytical and problem-solving abilities, with experience navigating complex technical ecosystems.
  
  
• Excellent communication and collaboration skills, capable of influencing across technical and business teams.
  
  
• Demonstrated success working within matrixed organizations and leading cross-functional projects.
  
  
• Experience developing applications using frameworks such as Streamlit or RShiny.
  
  

Preferred Qualifications

• Passion for engineering excellence—building tools and systems that “just work” for users.
  
  
• Strong focus on continuous innovation and process improvement.
  
  
• Demonstrated success mentoring and developing high-performing technical teams.
  
  
• Deep familiarity with advanced AI methodologies, including LLMs, Knowledge Graphs, RAG, and other Generative AI techniques.
  
  
• Exposure to optimization solvers and frameworks (e.g., Gurobi, CPLEX, COIN-OR, CBC, IPOPT).
  
  
• Familiarity with AI/ML development platforms such as Domino Data Labs and AI code generation tools (e.g., GitHub Copilot, Amazon Q Developer).
  
  
• Advanced understanding of applied statistics, econometrics, and optimization.
  
  

Education & Experience

• Master’s or Ph.D. in Computer Science, Engineering, AI/ML, Information Systems, or a related quantitative field.
  
  
• At least 7 years of hands-on experience in AI/ML engineering, data science, or decision science platform development.
  
  

Estimated Min Rate: $87.50
Estimated Max Rate: $125.00


What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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