What You’ll Do

• Architectural Design:
• Design end-to-end machine learning architectures that align with business objectives.
• Develop scalable and efficient machine learning models, ensuring optimal performance within the Azure Databricks environment.
• Azure Databricks Expertise:
• Leverage in-depth knowledge of Azure Databricks to implement and optimize machine learning workflows.
• Collaborate with data engineers to ensure seamless integration of machine learning pipelines.
• ML Ops Implementation:
• Implement and manage ML Ops practices to streamline the machine learning development lifecycle.
• Establish and maintain CI/CD pipelines for model deployment and monitoring.
• Model Drift Monitoring:
• Develop and implement robust model drift monitoring capabilities to ensure the continued accuracy of deployed models.
• Collaborate with data scientists and data engineers to address drift-related challenges.
• Databricks Feature Store:
• Utilize Databricks Feature Store to manage and share features across the organization.
• Implement best practices for feature engineering and versioning within the Databricks environment.
• Collaboration and Documentation:
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
• Document architecture, design decisions, and processes using tools such as Jira and Confluence.

What You Know

• We are seeking a highly skilled and experienced Machine Learning Architect with a proven track record of designing and implementing robust machine learning solutions.
• The ideal candidate will have a minimum of 8-10 years of relevant experience, with a focus on Azure Databricks environment, ML Ops, ML model drift monitoring, Databricks Feature Store, and proficiency in utilizing tools like Jira and Confluence.
• An Azure Databricks certification is considered a definite advantage for this role.
Technical Skills:
• Extensive experience with Azure Databricks and Azure services.
• Proficiency in ML Ops practices and tools.
• Strong experience in implementing and monitoring machine learning models.
• Databricks Feature Store expertise.
• Certifications:
• Azure Databricks Certification (Highly desirable).
Soft Skills:
• Excellent communication and collaboration skills.
• Ability to lead and mentor a team of data scientists and engineers.
• Strong problem-solving and analytical skills.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Benefits

• In addition to competitive salaries and benefits packages, Nisum US offers its employees some unique and fun extras:
• Professional Development - We offer in-house technical training and professional learning programs aimed at developing skills across a broad spectrum of topics such as technology, leadership, role-based training, and process expertise. We also offer an annual stipend for employees to attend external courses in order to maintain professional certifications
• Health & Wellness Benefits - We believe that your health and welfare are important, and we strive to ensure that you have affordable options available to you, including some plans that are subsidized for employees and their families up to 90%. We also have dental and vision plans in the US where Nisum pays 100% of premiums for employees
• Volunteerism Pay - We believe in giving back and in the US, our employees are eligible for up to 40 hours of paid time off each year to volunteer towards the causes that they are most passionate about. This is in addition to personal PTO and paid holidays
• Additional Benefits - We offer all the other important benefits to keep employees and their families healthy and financially secure, such as 401(k) retirement savings with a company match, pre-tax parking and transit programs, disability insurance, and Basic Life/AD&D, alongside exclusive employee discounts on a wide variety of products and services

Compensation Band

• $165-170k per year