About Us:

Since its inception in 1971, our client has been dedicated to revolutionizing the real estate industry with innovative software solutions. Committed to excellence, we believe in fostering a culture that values both hard work and employee well-being. Join us in our mission to shape the future of real estate through cutting-edge technology and collaborative teamwork.

The Role:

As a Machine Learning Engineer I, you will be an integral part of our journey to lead the real estate industry into a digital-first future. Collaborating with cross-functional teams, you will contribute to the development and deployment of AI/ML models across our suite of products.

Key Responsibilities:

• Collaborate closely with product managers, AI scientists, and engineers to design, prototype, and implement generative AI models, descriptive and predictive analytics, ML, and forecasting models.
• Identify and explore opportunities for the application of machine learning, predictive analytics, forecasting, and generative AI.
• Research and implement various LLMs, use of RAG and Text-To-SQL patterns, and other generative AI techniques to enhance model performance and capabilities.
• Architect and develop operational models that can run at scale in collaboration with engineering teams.
• Build and deploy AI/ML models including data preparation/processing pipelines, machine learning orchestrations, deployments, scalability improvements, and service performance enhancements.
• Prepare database queries and visualizations for data analysis and statistical modeling.
• Communicate effectively with technical and non-technical stakeholders and contribute modeling and programming expertise as a team player.
• Stay updated on emerging technologies and trends, conduct research on state-of-the-art statistical and deep learning models, prototype new modeling ideas, and conduct offline and online experiments.

Requirements:

• Bachelor’s degree in Statistics/Math/Computer Science, or a similar technical field of study, or equivalent practical experience.
• Minimum of 2 years of industry experience in SQL, Python, and building production-grade software applications.
• Solid experience with AI/ML frameworks such as PyTorch, Keras, and TensorFlow.
• Proficiency in database query, visualization, and analysis tools such as Power BI and Jupyter notebooks.
• Exceptional written and verbal communication skills.
• Self-driven with the ability to deliver on ambiguous projects in a fast-paced environment.
• Strong background in machine learning technology, especially in Deep Learning / Deep Neural Networks, NLP, OCR, NER, and ML frameworks.
• Experience with both SQL and NoSQL databases, big data systems such as Hadoop, MapReduce, Spark, and software engineering best practices.
• Familiarity with Agile methodologies, DevOps practices, CI/CD pipelines, and version control systems like GitLab/GitHub.
• Experience with Azure cloud services, AKS, Cognitive services, MLOps, Azure Data Framework is a plus.

Perks & Benefits:

• Access to employee-led groups promoting diversity, equity, and inclusion.
• Comprehensive medical coverage options and HSA benefits.
• Competitive 401k plan.
• Parental Leave Program.
• 20 days PTO plus observed Holidays, with 15 hours of ‘Flexi’ time per year.
• Generous Tuition Reimbursement offerings.
• Flexibility to work from anywhere in the world for two weeks annually.

Join us and be a part of a company culture that values passion, integrity, inclusion, and fun! At our client, your talent is cherished, and your contributions are essential to our success in the PropTech space.

We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age, veteran status, or any other characteristic.

Note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor employment visas at this time. We do not accept unsolicited resumes from agencies and/or search firms.