Senior Databricks/ ML Technical Consultant

JOB RESPONSIBILITIES:

• Design and implement end-to-end data and machine learning solutions using Databricks
• Develop and optimize data pipelines, ETL/ELT processes, and ML workflows
• Build, train, and deploy machine learning models for real-world business use cases
• Work with large-scale structured and unstructured datasets
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
• Provide technical leadership and best practices in data engineering and ML architecture
• Optimize performance, scalability, and cost-efficiency of data platforms
• Ensure data quality, governance, and security standards are met
• Support troubleshooting, debugging, and continuous improvement of data and ML systems
• Stay updated with the latest advancements in Databricks and ML technologies

JOB QUALIFICATIONS:

• Strong hands-on experience with Databricks
• Proven experience in Machine Learning (model development, training, deployment)
• Proficiency in Python and SQL
• Experience with Apache Spark / PySpark
• Strong understanding of data engineering concepts and modern data architectures
• Experience working with cloud platforms (e.g., Azure, AWS, or GCP)
• Ability to design scalable and efficient data and ML solutions
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management skills