AI/ML Lead

We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create unique competitive advantage for our clients by giving them the power to see beyond and rise above. We are experiencing tremendous growth, with $566 million in revenue in FY21, representing 12.9% year-over-year growth. Along with that growth, we onboarded over 3,000 new employees in the past year, bringing our total employee count to over 15,000 people located in 18 countries across the globe. At Persistent, our values are more than a list of ideals to improve our corporate image. We’re dedicated to building an inclusive culture that reflects what’s important to our employees and is based on what they value. As a result, 95% of our employees approve of the CEO and 83% recommend working at Persistent to a friend. About Position We are seeking a skilled AI/ML Lead with hands-on experience in Databricks to join our team. The ideal candidate has strong analytical capabilities, experience building scalable data pipelines and machine learning models, and the ability to collaborate with cross‑functional teams to drive data‑driven decision‑making. This role involves working with large datasets, advanced analytics, and modern data engineering and ML frameworks—primarily using Databricks on Azure/AWS. Role Details Role: AI/ML Lead with hands‑on experience in Databricks Hire Type: Fulltime Experience: 12+ years of experience What You'll Do Develop, train, and optimize machine learning and statistical models using Databricks, Python, PySpark, and MLflow. Perform exploratory data analysis (EDA) to identify trends, patterns, and insights in large datasets. Deploy ML models into production using Databricks MLflow , Delta Live Tables, or other MLOps pipelines. Conduct A/B testing , forecasting, segmentation, anomaly detection, or recommendation systems as required by the business. Build scalable, high‑performance ETL/ELT pipelines using PySpark, SQL, and Databricks workflows. Work with Delta Lake to ensure high-quality, reliable, and performant data. Optimize cluster usage and job performance within the Databricks environment. Collaborate with data engineers to ensure high-quality data availability for modeling. Business Collaboration Translate business problems into analytical solutions and present findings to non‑technical stakeholders. Partner with product, engineering, and business teams to drive data‑informed decisions . Communicate complex statistical concepts in a clear and concise manner. Expertise You'll Bring Experience deploying models in production using MLOps frameworks . Knowledge of Azure Databricks or AWS Databricks environments. Understanding of CICD pipelines and DevOps concepts (Azure DevOps, GitHub Actions, etc.) Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting‑edge technologies Employee engagement initiatives such as project parties, flexible work hours, and ‘Long Service’ awards Annual health check‑ups as well as insurance: Group term life insurance Mediclaim hospitalization insurance for self, spouse, two children, and parents Why Persistent is an employer of choice Technology Innovation: culture of innovation using cutting‑edge technology to bring value to clients. Growth and Career Progression: learning opportunities for growth, including quarterly promotion cycles. One Persistent Culture: global outlook with diversity and inclusion at its core. Mental and Physical Wellness: employee health and mindfulness programs #J-18808-Ljbffr