AI/ML Engineer

York Solutions, LLC; Minnesota; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical plans

Dental plan

Vision plan

Life insurance

401(k) Retirement Plan

Voluntary insurance

Flexible work

Career growth

Team environment

Job summary

York Solutions, LLC seeks an experienced AI/ML Engineer to design and develop production ML pipelines and scalable AI systems. You will collaborate with researchers, data scientists, and engineers to translate research into practical, robust solutions that integrate with existing platforms.

The role requires advanced degree or equivalent industry experience, 5+ years in production ML, and strong Python/NLP skills across frameworks like TensorFlow, PyTorch, and LangChain.

Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or related fields.
• 5+ years of experience in a similar role in a production environment.
• Experience with large-scale datasets and ETL pipelines using Spark, Kubeflow, StreamSets, etc.
• Hands-on experience with cloud platforms such as AWS.

Responsibilities

• Lead design and development of ML pipelines for AI models across diverse domains.
• Collaborate on ML architecture; build scalable AI systems integrating with existing infra.
• Mentor junior team members and foster continuous learning.
• Deploy, test, and optimize ML models and data pipelines in production environments.
• Collaborate with researchers, data scientists, and engineers to translate findings into scalable solutions.

Skills

Python

NLP

Scikit-learn

TensorFlow

PyTorch

HuggingFace

LangChain

Apache Kafka

Education

Master's or Ph.D. in Computer Science / Machine Learning

Tools

Apache Spark

Kubeflow

StreamSets

AWS

Flask

ElasticSearch

PostgreSQL

IBM MQ

Job description

Primary Responsibilities:
Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation. Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
Deploy, test, and optimize ML models and data pipelines in production environments.
Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.
Qualifications:
Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
5+ years of experience in a similar role in a production environment.
Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
Hands‑on experience with cloud computing platforms such as AWS.
Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
Experience with iterative development processes, thriving in dynamic and agile environments.
Ability to own ML delivery tasks end-to-end with little to no direct support. Hands‑on experience in deploying machine learning models into production environments.
Strong understanding of software design patterns, principles, architecture, and operations.
Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams
Benefits:
York Solutions Offers a generous benefits package for eligible full‑time employees:

• BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
• Delta Dental plan with 2 free cleanings and insurance discounts
• Eye Med Vision with annual check‑ups and discounts on lens
• Life and Accidental Death Insurance paid by company
• John Hancock 401(k) Retirement Plan with discretionary company match
• Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
• Flexible work environment with some remote working opportunities
• Strong fun and teamwork environment
• Learning, development, and career growth