About the role: At Cognizant, we're seeking talented Senior Machine Learning Consulting Engineers to join our Data & AI practice within Technology Consulting. As a key member of our team, you'll play a pivotal role in designing and implementing innovative solutions that leverage the power of platforms such as Databricks to solve complex business challenges using machine learning. Your expertise will be instrumental in helping our clients optimize their ML implementations and extract maximum value from their data investments. We also offer opportunities to grow in the rapidly evolving field of Generative AI. You'll be at the forefront of implementing enterprise-grade AI solutions, working with foundation models, and helping shape the future of AI-driven transformation. The Senior ML Consulting Engineer is responsible for: Drive ML strategy and deliver business outcomes through innovative Databricks solutionsLead complex machine learning projects using Databricks and distributed computing, handling large datasets and complex modelsDesign and implement enterprise-grade generative AI solutions using Databricks' ML capabilitiesDevelop state-of-the-art machine learning models using techniques like deep learning, reinforcement learning, and generative AICreate and optimize MLOps workflows using Databricks' ML tools and best practicesConduct comprehensive data analysis to identify patterns and trends, building models on a solid foundation of data understandingImplement robust data pipelines to ensure data quality, consistency, and efficiencyDesign and implement ML solutions that scale effectively on Azure and/or AWSOptimize model performance through techniques like hyperparameter tuning, feature engineering, and model selectionLead technical pre-sales activities and proof-of-concept development for ML solutionsDeploy and monitor machine learning models in production environmentsDevelop and maintain machine learning infrastructure and toolsCollaborate with cross-functional teams to align machine learning models with business objectivesCommunicate technical concepts effectively to both technical and non-technical audiencesStay up-to-date with the latest advancements in machine learning, data engineering, and generative AIMentor junior engineers and foster a culture of knowledge sharing About You: Technology Consulting involves exciting, fast-paced work, dealing with a variety of stakeholders, clients, and consultants. You need to be someone that can deal with ambiguity, thrive on change, and manage your own time effectively. We want someone that genuinely focuses on client outcomes, with a high degree of integrity. At Cognizant we value consultants that have a high IQ, enjoy problem solving, and a willingness to serve. You will need to be confident presenting to both business and technology stakeholders, leading cross-functional geographically dispersed teams, and have strong negotiating and collaboration skills. Above all, you should have a positive attitude, and enjoy working with consultants from a diverse range of backgrounds, on a variety of fast-paced engagements. Base capability requirements include: 3+ years of experience using Databricks, demonstrating deep understanding of the platform and its ML capabilitiesStrong consulting experience with proven ability to deliver business outcomesSolid understanding of data science concepts, including statistical modeling, data mining, and data visualizationExperience with cloud platforms (Azure/AWS) for Databricks deployment and managementAdvanced knowledge of data engineering principles, ETL processes, and data pipelinesExpert proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost)Experience with large language models and generative AI implementationStrong understanding of MLOps practices and toolsProven experience in solution architecture and technical pre-salesExperience in managing client relationships and stakeholder expectationsStrong business acumen and ability to translate ML solutions into business valueExcellent communication skills with ability to influence senior stakeholders Additional skills which would be highly desirable: Experience with Databricks' latest generative AI capabilitiesExpertise in Delta Lake and Spark Structured StreamingKnowledge of Databricks Unity Catalog and MLflow Model RegistryExperience with real-time ML systems and model servingMulti-cloud implementation experience Growth Opportunities: Lead implementation of cutting-edge generative AI solutionsWork with Databricks' latest ML features and capabilitiesEarly access to new Databricks AI innovationsCollaboration with Databricks' product teamsAccess to advanced training and certification programsOpportunities to shape AI strategy for enterprise clientsInvolvement in research and innovation projectsOur Benefits:Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:You can pursue innovative career tracks and opportunities hereYou can enhance your professional development through education and dedicated trainingWe'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits, and wellness packages help you stay healthy and plan for the future.At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at