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AI ML Engineer 2

Evergen

$125k - $145k Senior Full-time

Location: Remote or on-site at any of our US locations

Must be legally authorized to work in the U.S. now and in the future without sponsorship

Annual Bonus Eligibility: $8,000

RTI Surgical is now Evergen!

This rebranding reflects our strategic evolution as a leading CDMO in regenerative medicine and comes at the end of a significant year for the business, including the successful acquisitions of Cook Biotech in IN. and Collagen Solutions, MN. Our new brand identity emphasizes our unique positioning as the only CDMO offering a comprehensive portfolio of allograft and xenograft biomaterials at scale.

Evergen is a global industry-leading contract development and manufacturing organization (CDMO) in regenerative medicine. As the only regenerative medicine company that offers a differentiated portfolio of allograft and xenograft biomaterials at scale, Evergen is headquartered in Alachua, FL, and has manufacturing facilities in West Lafayette, IN., Eden Prairie and Glencoe, MN., Neunkirchen, DE., Glasgow, UK., and Marton, NZ.

Read more about this change and Evergen’s commitment to advancing regenerative medicine here: https://lnkd.in/eMSfVJkM ;

We are seeking a highly skilled and motivated AI/ML Engineer 2 to lead the design, development, and deployment of end-to-end Artificial Intelligence and Machine Learning solutions. This role requires deep expertise in the Data Cloud Architectures, coupled with proficiency in cloud ML services (e.g., Microsoft Azure AI/ML, Snowflake Cortex) and open-source frameworks (e.g., PyTorch, TensorFlow, Hugging Face). The ideal candidate will be a technical leader capable of architecting scalable, high-performance, and cost-efficient AI applications directly integrated within our data ecosystem.

Join Evergen’s Data Team as an AI/ML Engineer 2 and help build the AI backbone of our organization. You’ll design and deploy scalable machine learning and Generative AI solutions using Snowflake, Azure, and modern open-source frameworks.

You’ll work across teams to turn complex problems into automated, intelligent workflows improving decision-making and driving efficiency in Donor Services, Commercial, QA, Operations, and beyond.

If you’re excited about building production-ready ML pipelines, experimenting with LLMs, and shaping the future of AI at a growing life sciences company, this role puts you at the center of it.

In this role, you will play a central part in delivering innovative AI and Generative AI solutions that power Evergen’s transformation. As part of Evergen’s Data Team, you will work across a modern cloud and data ecosystem Snowflake, Azure, and leading open-source frameworks to design, build, and operationalize intelligent systems that scale with the business.

You’ll collaborate with data engineers, architects, and cross-functional partners to unify and enrich data, automate decision-making, and develop production-ready ML and GenAI applications. We’ll rely on you to bring strong technical leadership, hands-on development skills, and a passion for solving complex problems with elegant, scalable solutions.

You will spend your time on key responsibilities that include:

Researching, designing, and implementing scalable AI/ML and Generative AI systems that align with business needs.
Building and optimizing end-to-end ML pipelines using Snowpark, Azure ML, and modern MLOps frameworks.
Enhancing data pipelines, feature engineering workflows, and storage patterns to ensure accuracy, performance, and reliability.
Monitoring, evaluating, and improving model performance, quality, and cost-efficiency.
Deploying AI solutions into production environments and ensuring they are maintainable, governed, and built for long-term scalability.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent industry experience).
3+ years of hands-on software development experience with strong proficiency in Python and modern ML frameworks.
3+ years of experience building and deploying AI/ML models using cloud platforms such as Snowflake Snowpark/SnowML, Azure ML, or equivalent cloud-native ML environments.
Proven experience designing and operationalizing ML pipelines, including data preparation, feature engineering, training, deployment, and monitoring.
Strong understanding of Generative AI, LLMs, prompt engineering, embeddings, and vector-based search.
Experience with MLOps practices and tools (CI/CD, model lifecycle management, versioning, monitoring).
Solid knowledge of SQL and modern data engineering best practices; ability to work with large, complex datasets.
Familiarity with Snowflake Native Apps, UDFs, stored procedures, or similar data cloud extensibility frameworks.
Experience integrating AI/ML capabilities into production applications and enterprise environments.
Strong problem-solving skills, with the ability to translate business needs into scalable technical solutions.
Excellent communication skills and comfort working in a cross-functional, fast-moving environment.

Preferred Skills

Experience with Microsoft Azure’s broader AI ecosystem (Cognitive Search, OpenAI Services, etc.).
Background in life sciences, healthcare, or regulated industries.
Experience working with Databricks, dbt, or orchestration tools like Dagster or Airflow.
Familiarity with vector databases, retrieval-augmented generation (RAG), or advanced GenAI architectures.

Leadership & Collaboration:

Provide technical mentorship and guidance to junior developers and data scientists.
Collaborate with Data Architects, Data Scientists, and Business Stakeholders to translate complex business requirements into technical AI solutions.

We’re looking for someone who pairs strong technical expertise with the mindset of a top performer innovative, adaptable, and driven by purpose. You bring a passion for creating meaningful impact through AI, and you thrive in environments where collaboration, clear communication, and forward thinking are essential. Your ability to lead through influence and work seamlessly across teams will set you apart.

More about Evergen:

Evergen provides customers across a diverse set of market segments with leading-edge expertise, scale, and flexibility across end-to-end services including design, development, regulatory support, verification and validation, manufacturing, and supply chain management.

Evergen is rooted in a steadfast commitment to quality, integrity, and patient safety with a focus on five key values:

Accountable: We own our actions and decisions.
Agile: We embrace change to stay ahead of the curve and evolve to drive innovation and growth.
Growth Mindset: We embrace challenges as opportunities for continuous learning.
Customer-Centric: We prioritize customers at every touch point.
Inclusive: We thrive on the richness of our diversity and ensure every voice is heard, respected, and celebrated.

At Evergen, we are committed to fostering an inclusive workplace where we embrace the richness of our diversity and ensure that every voice is heard, respected, and celebrated. We believe that by embracing diversity and promoting inclusivity, we not only uphold our values but also strengthen our position as the CDMO of Choice in regenerative medicine solutions. We recognize that cultivating a growth mindset is essential to our success, and we are dedicated to continuous learning and improvement in our diversity, equity, and inclusion efforts. Through accountability and action, we strive to create an environment where individuals can thrive, innovate, and contribute their unique perspectives to drive our collective success.

Montagu Private Equity (“Montagu”), a leading European private equity firm, acquired RTI in 2020 and has supported the transformation of the company to its next level of potential.

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