Job Description
Job Description
Dahl Consulting is currently partnering with Polaris, a leader in the powersports industry. We work one-on-one with great candidates to help connect them with local employment opportunities. Polaris is hiring an AI/ML Engineer for a contract position! Interested? Get more details below.
- Contract Duration: 12 months + potential to convert/extend
- Worksite Location: Medina, MN | Hybrid
- Compensation: $55.00 - $80 per hour
What you’ll do as an AI/ML Engineer:
- Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
- Develop and deploy NLP and LLM solutions leveraging frameworks such as LangChain or Semantic Kernel.
- Implement Retrieval-Augmented Generation (RAG) architectures using Azure AI Search to improve performance and accuracy.
- Lead and deliver AI projects that are secure, scalable, and aligned with business objectives.
- Provide technical expertise and guidance to teams and stakeholders, ensuring smooth integration and adoption of AI solutions.
- Conduct testing and validation of AI models, optimizing performance while addressing data quality, bias, and fairness.
- Stay current with AI trends, applying best practices to improve solution design and delivery.
- Collaborate with sales and delivery teams to design proposals, estimates, and technical presentations that showcase value to stakeholders.
What you’ll bring to the AI/ML Engineer role:
- Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent experience).
- 3+ years of AI/ML development experience with a focus on OpenAI Services, NLP, and LLMs.
- Proven ability to design, deploy, and maintain models using Azure AI services (Azure Machine Learning, Cognitive Services, Azure OpenAI); AWS experience also valuable.
- Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow; C# knowledge is a plus.
- Hands-on experience with RAG architectures and tools such as LangChain, Semantic Kernel, or LlamaIndex.
- Understanding of MLOps practices and tools for lifecycle management.
- Strong problem-solving skills with the ability to optimize models and pipelines for performance and scalability.
- Excellent communication skills with experience working alongside product owners, technical teams, and end users.
- Experience in consulting environments and client-facing roles is highly preferred.
- Self-directed, adaptable, and eager to learn in fast-paced, dynamic settings.
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/
Company DescriptionOur promise is simple. DAHL has proven year after year that we are flexible, consistent and easy to work with, which is why our clients and consultants have stayed with us, and we've continued to grow throughout the years.
Our clients know they can depend on our efforts, as we hold their priorities in high regard. We genuinely care about each and every relationship and promise to work with the utmost of respect, integrity and high energy, as we continually strive to build long-term relationships.
Company Description
Our promise is simple. DAHL has proven year after year that we are flexible, consistent and easy to work with, which is why our clients and consultants have stayed with us, and we've continued to grow throughout the years.\r\n \r\nOur clients know they can depend on our efforts, as we hold their priorities in high regard. We genuinely care about each and every relationship and promise to work with the utmost of respect, integrity and high energy, as we continually strive to build long-term relationships.