MOHR Talent · 2 weeks ago
Senior Data Scientist / AI Engineer
Chicago, IL
Full-time
Onsite
Senior Level
$160K/yr - $160K/yr
5+ years expMOHR Talent is a company focused on leveraging advanced technology solutions, and they are seeking a Senior Data Scientist / AI Engineer. This role involves designing, developing, and deploying AI models to drive business value, while ensuring performance and scalability of solutions.
Staffing & Recruiting
Responsibilities
Act as a thought partner to AI and Product leadership to identify opportunities where AI and machine learning can unlock business value
Lead the end-to-end design, development, validation, testing, and deployment of scalable AI and machine learning solutions
Apply advanced statistical analysis to generate actionable insights, identify trends, and measure model and business performance
Design and execute A/B testing frameworks to evaluate model quality and integrate insights into business processes
Collaborate cross-functionally with engineering, product, analytics, and business teams to implement models, design monitoring tools, and ensure data quality
Drive AI research and development initiatives to ensure continued innovation and adoption of best-in-class AI methodologies
Monitor and analyze model performance, data integrity, and system reliability in production environments
Qualification
Required
Master's or PhD in Computer Science, Electronics, Mathematics, Statistics, Economics, or a related technical discipline (or equivalent experience)
5+ years of hands-on experience designing and deploying complex AI/ML solutions, preferably in regulated or data-intensive industries
Proven experience developing production-grade machine learning systems from concept through deployment
Strong proficiency in Python and advanced analytics frameworks (e.g., pandas, Spark, scikit-learn)
Deep expertise in AI methodologies including Generative AI, Agentic AI, Deep Learning, NLP, Supervised and Reinforcement Learning
Experience with ML frameworks and libraries such as TensorFlow, PyTorch, LangChain, LlamaIndex, or similar
Strong understanding of MLOps / LLMOps best practices, including model versioning, monitoring, and deployment pipelines
Experience merging and transforming large, complex internal and external datasets to support AI solutions
Preferred
Hands-on experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure Machine Learning) is a plus
Company
MOHR Talent
MOHR Talent is your partner in people, progress, and possibility.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase