Senior Engineer - Machine Learning

Berkadia; New York, Northern (NY, KY); Hybrid; USD 200,000 - 250,000; Full time

Job summary

Berkadia is seeking a Senior Engineer, Machine Learning to advance Berkie and build AI-driven real estate solutions. You will design anddeploy production ML systems, leverage generative AI, and collaborate with product, data and engineering teams to turn data into revenue-driving technology.

Ideal candidates have 6+ years in software and ML, strong Python, cloud/MLOps experience, and a passion for staying ahead in AI. This hybrid role spans New York, Ambler, and Midvale with a competitive salary.

Qualifications

• 6+ years of professional software development experience.
• Experience building traditional ML models and generative AI systems.
• Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).
• Experience working with unstructured data and transforming it into structured formats.

Responsibilities

• Design, implement, and maintain production-ready ML systems using generative and traditional techniques.
• Architect end-to-end AI solutions for use cases like intelligent document processing and information retrieval.
• Drive the development of Berkie, Berkadia’s generative AI platform, enabling access to proprietary data.
• Collaborate with product, engineering, and data teams to translate problems into scalable AI solutions.
• Write maintainable code in Python and leverage modern cloud infrastructure; use notebooks for experimentation.
• Establish and contribute to MLOps best practices (deployment, monitoring, observability).

Skills

Python

Generative AI

Traditional ML

MLOps

Cloud infrastructure

Agile/CI-CD

JavaScript

Job description

## Senior Engineer - Machine LearningApply: Hybrid: New York, NY: Ambler, PA: Midvale, UT: Full time: Posted Today: R-00021# **Be Part of the Next. Be Berkadia.**Berkadia is built on deep expertise, strong relationships, and a commitment to excellence across the commercial real estate industry. What sets us apart is our people. As a values-driven organization, we foster a culture where collaboration thrives, growth is encouraged, and employees are empowered to make an impact. Together, our people strengthen our business and help shape the future of Berkadia. Are you ready to be part of the next? Discover your next opportunity at Berkadia and apply today.As a Senior Engineer, Machine Learning at Berkadia, you’ll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates. Berkadia now has a dedicated machine learning team and an established generative AI system — Berkie — which is transforming the way Berkadians work. In this role, you will contribute directly to expanding and improving Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue. You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines to agentic systems, intelligent document processing, and generative AI applications. This is a high-impact position for someone passionate about applying AI to real-world problems, who thrives in a collaborative environment and stays ahead in a fast-moving field.**Responsibilities*** Design, implement, and maintain production-ready machine learning systems using both generative and traditional techniques.* Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval.* Drive the continued development of *Berkie*, Berkadia’s generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business.* Collaborate with cross-functional teams — including product, engineering, and data — to identify impactful problems and translate them into scalable AI solutions.* Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration.* Establish and contribute to best practices in MLOps, including model deployment, monitoring, observability, and continuous improvement.* Participate in peer reviews, design discussions, and team learning sessions to foster transparency and knowledge-sharing.* Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team.* Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role.* Take initiative, share wins, and work with purpose — we value engineers who care deeply about their craft and their impact on others.**Qualifications**Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required.* 6+ years of professional software development experience, with a focus on Python.* Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering).* Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).* Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning.* JavaScript experience is a plus.* Experience with Agile methodologies and CI/CD practices.Knowledge/Skills/Abilities:* Deep curiosity and a strong drive for self-learning; ability to stay current with rapid developments in ML and generative AI.* Clear communicator with excellent written, visual, and verbal skills.* Strong problem-solving and analytical thinking.* Collaborative and open to sharing knowledge, giving and receiving feedback, and celebrating team progress.* Motivated by impact and a sense of purpose in your work.*The provided base salary information for this position is part of an overall national range. The actual salary within our range for this position will be determined by several factors, including but not limited to the scope, complexity and location of the role, the skills, education, training, credentials, and experience of the candidate. The total compensation package for this role may also include additional incentive opportunities.****Base Compensation:****$200,000- $250,00 USD*