Databricks Machinel Learning
Apply NowCompany: DMV IT Service
Location: New York, NY 10025
Description:
Job Title: Databricks ML Engineer
Location: New York, NY
Employment Type: Full-Time
About Us:
DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success.
Job Overview:
We are seeking an experienced Databricks ML Engineer to design, develop, and deploy machine learning models using Azure Databricks. The ideal candidate will have a strong background in PySpark, Python, and SQL, with at least 7 years of experience in machine learning model deployment.
Requirements
Required Skills & Experience:
Preferred Qualifications:
Location: New York, NY
Employment Type: Full-Time
About Us:
DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success.
Job Overview:
We are seeking an experienced Databricks ML Engineer to design, develop, and deploy machine learning models using Azure Databricks. The ideal candidate will have a strong background in PySpark, Python, and SQL, with at least 7 years of experience in machine learning model deployment.
Requirements
- Design, develop, and deploy machine learning models using Azure Databricks.
- Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
- Apply ML Ops best practices to ensure robust and scalable model deployment.
- Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
- Collaborate with data scientists and engineers to integrate ML models into production environments.
- Optimize and maintain existing ML models for high performance and scalability.
- Utilize PySpark, Python, and SQL for data processing and analysis.
- Conduct statistical analysis to support data-driven decision-making.
- Troubleshoot and resolve issues related to ML model deployment and performance.
Required Skills & Experience:
- 7+ years of experience in ML model deployment using Azure Databricks.
- Proficient in PySpark, Python, and SQL.
- Experience with Azure Databricks ML Flow and ML Ops best practices.
- Experience with deploying and managing LLMs and GenAI models on Databricks.
- Strong problem-solving skills and attention to detail.
Preferred Qualifications:
- Master's degree in Computer Science, Data Science, or a related field.
- Experience with statistical analysis.
- Certifications such as Azure Databricks Data Engineer Professional Certification and Azure Databricks Machine Learning Professional Certificate.