JOB DESCRIPTION
Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.
We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus.
Key Responsibilities:
- 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 to ensure 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.
- Stay up-to-date with the latest advancements in machine learning and cloud technologies.
- 7+ years of experience in ML model deployment using Azure Databricks.
- Proficiency 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.
- Experience with statistical analysis is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).
- 3+ years of experience with creating stored procedures in SQL
- Azure Databricks
- azure databricks machine learning certificate
- Bayesian Machine Learning
- Machine Learning Operations
- pandas
- PySpark
- Quantitative Statistical Analysis
- Achieved Azure Databricks Data Engineer Professional Certification
- Azure Databricks Machine Learning Professional Certificate
location: New York, New York
job type: Contract
salary: $80 - 85 per hour
work hours: 8am to 5pm
education: Masters
responsibilities:
JOB DESCRIPTION
Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.
We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus.
Key Responsibilities:
- 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 to ensure 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.
- Stay up-to-date with the latest advancements in machine learning and cloud technologies.
qualifications:
Must Have
- 3+ years of experience with creating stored procedures in SQL
- Azure Databricks
- azure databricks machine learning certificate
- Bayesian Machine Learning
- Machine Learning Operations
- pandas
- PySpark
- Quantitative Statistical Analysis
- Achieved Azure Databricks Data Engineer Professional Certification
- Azure Databricks Machine Learning Professional Certificate
skills: Must Have
- 3+ years of experience with creating stored procedures in SQL
- Azure Databricks
- azure databricks machine learning certificate
- Bayesian Machine Learning
- Machine Learning Operations
- pandas
- PySpark
- Quantitative Statistical Analysis
- Achieved Azure Databricks Data Engineer Professional Certification
- Azure Databricks Machine Learning Professional Certificate
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
