Senior Large Language Model

 

 

-Architect and spearhead the development of cutting-edge, scalable AI infrastructure, including novel human-in-the-loop (HITL) paradigms, ensuring our systems learn effectively from feedback.

-Lead the technical design and implementation of core MLOps components and systems for our LLMs—including CI/CD, monitoring, and automated feedback loops—ensuring robustness, scalability, and adherence to software engineering best practices.

-Define and shape solutions for complex automation and deployment challenges, enabling the strategic application of our cutting-edge AI.

-Drive technical alignment and integration with AI Data Science and Software Engineering teams, ensuring the seamless transition of AI solutions from research into production environments and influencing architectural standards.

-Define and establish standards for the rigorous validation, monitoring, and lifecycle management of AI products, ensuring continuous accuracy improvement and reliability in production.

-Define, champion, and drive adoption of best practices for MLOps, including model/data versioning, experiment tracking, and reproducibility within the AI/ML domain; actively mentor others.

-Identify, champion, and integrate state-of-the-art MLOps technologies and frameworks, driving innovation and maintaining our technical edge in AI deployment.

-Provide expert guidance on applying safeguards and protections (HIPAA, privacy laws) to our model deployment and data handling pipelines; champion and uphold the highest compliance, quality, and security standards.

 

-3+ years of professional experience in an MLOps, DevOps, or Software Engineering role with a focus on machine learning systems.

-MSc/BSc graduate in engineering, computer science, or a relevant field, with extensive equivalent experience. A PhD is a plus.

-Deep, hands-on expertise in Python and proficiency in modern software development practices.

-Hands-on experience with a major cloud platform (AWS, GCP, or Azure).

-Strong experience with containerization and orchestration technologies (Docker, Kubernetes).

-Proven experience building and maintaining CI/CD pipelines for complex applications (e.g., GitHub Actions, Jenkins), particularly those that include data + model versioning.

-A proven track record of technical leadership and high-impact contributions in building and scaling production machine learning systems.

-Proven ability to independently define, architect, and lead solutions for complex, ambiguous infrastructure problems, clearly articulating business value.

-Demonstrated ability to lead the decomposition of large-scale systems and guide teams in delivering incremental solutions.

-Track record of designing sustainable, reusable, and high-quality code and influencing team/organizational standards.

-Exceptional written, verbal, and presentation skills; ability to influence stakeholders at all levels.

-Recognized technical leader, proactive, strategic thinker, and takes end-to-end ownership.

-Generous, Curious, and Humble.

 

-Direct experience productionizing Large Language Models (LLMs), including knowledge of prompting strategies, RAG, and fine-tuning.

-Deep expertise with the Databricks platform, including MLflow, Delta Tables, and Unity Catalog.

-Experience building data annotation and Human-in-the-Loop (HITL) systems from the ground up.

-Familiarity with vector databases (e.g., Pinecone, Chroma) and model serving frameworks (e.g., Ray Serve, Triton, and -Databricks/Mosaic).

-Experience working in a regulated environment, particularly with healthcare data (HIPAA).

 

 

 

We are a mission-driven, well-funded, rapidly growing company, eager to attract passionate professionals offering a highly attractive compensation package with a balanced and flexible work environment, competitive industry benefits as well as a 401K plan and other great company “perks.”

 

We are an Equal Opportunity Employer and value diversity at our company. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

 

Covid-19 Policy –  The Company is committed to providing and maintaining a safe workplace, and to safeguard the health and well-being of our employees, families, visitors, and the community. While vaccination remains one of the most important tools in advancing the health and safety of employees and promoting the efficiency of workplaces, we are now in a different phase of our response when these measures are no longer necessary. We currently do not have mandatory COVID-19 vaccination requirements for our employees and contractors, as the COVID-19 public health emergency has ended. However, there are certain N-Power Medicine employees and contractors who, based on their role, will be required to continue to follow our 2021 COVID-19 vaccination and other requirements as mandated by N-Power Medicine’s partners they serve. We reserve the right to modify or amend our corporate policy at any time.

 

Applicants must be currently authorized to work in the U.S. on a full-time basis. The Company will not sponsor applicants for work visas.

 

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