Position Title: Machine Learning SME Location: New York, NY (Hybrid) Hire Type: Contract Job Description:
Our client is 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.
Mandatory Requirements:
- 3 years of experience with creating stored procedures in SQL Azure Databricks
- Azure Databricks Machine Learning Certificate
- Bayesian Machine Learning
- Machine Learning Operations
- Experience with Pandas
- Experience with PySpark
- Quantitative Statistical Analysis
Desirable Requirements: - Azure Databricks Data Engineer Professional Certification
- Azure Databricks Machine Learning Professional Certificate
The consultant will apply engineering disciplines to cloud computing and bring a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. They will leverage the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions and uses the economics of cloud resources to solve business problems. 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: - 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.
Education: - Bachelor s degree in computer science, Data Science, or a related field (master s preferred).
About Seneca Resources: Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace. |
