Strong hands-on expertise in Python and end-to-end AI/ML model development, including data preparation, feature engineering, training, evaluation, and production integration.
Compensation
Pay range: $70-75/hr C2C
Responsibilities
Translate business requirements into scalable AI/ML solutions
Collaborate with architects, data engineers, application teams, QA, and business stakeholders
Develop and optimize Large Language Model-based analytics solutions to streamline business operations and enable faster, better-informed decision-making.
Locations (2)
Edina, Minnesota, United States
Bloomington, Minnesota, United States
Compensation
The estimated base wage range for this position is $35.00-45.00/hr.
Responsibilities
Develop and optimize LLM-based analytics and agentic solutions using commercial (e.g., Azure OpenAI) and open-source (e.g., Google Gemma, Qwen) models to transform business operations and streamline daily workflows
Drive seamless integration of LLM models with existing platforms and enterprise systems
Build and scale robust data connectors and knowledge bases for agentic systems
Design, architect, develop, and manage a state-of-the-art enterprise agentic AI platform to support scalable business solutions
Develop and implement agent governance and monitoring protocols to ensure secure, controlled, and reliable operation of agentic AI solutions for business
Multiple roles in Machine Learning & Deep Learning NeurIPS 2026
Research interns will contribute to fundamental and applied research in artificial intelligence and machine learning, developing novel algorithms, models, and systems that advance the state of the art.
Compensation
$178,200.00 - $267,400.00
Responsibilities
Conducting original research, developing novel machine learning algorithms and architectures, and designing, training, and evaluating AI models to advance the state of the art.
Developing efficient AI systems and software frameworks, including optimization for mobile, edge, and cloud platforms.
Exploring emerging computing paradigms, including hardware-software co-design, compute-in-memory, and distributed or federated learning.
Collaborating with researchers and engineers to prototype, validate, and communicate research findings, with opportunities to contribute to scientific publications and technology transfer.
Requirements
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field
Develop enterprise grade predictive and generative AI solutions, applications, pipelines, visualizations, and more, leading and mentoring a team of developers.
Compensation
The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position.
Responsibilities
Lead and mentor a team of developers working on cutting-edge predictive and generative AI solutions
Architect and oversee the development of scalable AI/ML systems
Drive the adoption of AI technologies across the organization
Design and implement end-to-end machine learning pipelines
Establish and enforce best practices for AI development
The US Brand Analytics Director is the brand’s expert and strategic authority on commercial data and analytics, providing an end-to-end view of performance across patient, HCP, account, access, field and market dynamics to support US and Global decision-making.
Compensation
The annual base pay (or hourly rate of compensation) for this position ranges from $155,516.80 to $233,,275.20. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Develop a deep understanding of internal customers’ data and analytical needs, with a focus on customer-facing model leadership.
Design and implement analytical solutions for business opportunities, customer segmentation and targeting, HCP and patient opportunity identification, return-on-investment analytics, optimal resource and budget allocation across Sales and Marketing channels, patient and prospective analytics, smart business experiments (test and learn), and market simulation and patient flow modelling.
Coordinate the procurement of syndicated and custom, primary and secondary datasets.
Champion the use of local customer insight in strategic and resourcing decisions across the business.
Collaborate with Commercial, Sales Force Operations and Market Access teams on key business processes and joint initiatives.
Requirements
Quantitative Bachelor’s degree from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science or a related field
Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
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