Artificial Intelligence Engineer

Celebal Technologies is a premier software services company in the field of Data Science, Big Data, Enterprise Cloud & Automation. Established in 2016, in this short span of time we grew to headcount of 2200+ We help in achieving a competitive advantage with intelligent data solutions, built using cutting-edge technology. Job Summary We are seeking experienced AI Engineers who can design, develop, and deploy machine learning and generative AI models in production environments. The ideal candidate has strong hands-on experience across the data science lifecycle, excellent problem-solving skills, and the ability to work in customer-facing projects driving real business impact. Key Responsibilities: • Develop, train, and deploy machine learning and GenAI models to solve complex business problems. • Take ownership of production-grade MLOps pipelines using MLflow (mandatory) and Databricks (preferred). • Conduct Exploratory Data Analysis (EDA), feature engineering, model evaluation, and optimization. • Collaborate with cross-functional teams to understand requirements, define solutions, and deliver value-oriented outcomes. • Operate as a technical consultant in client engagements, translating business objectives into technical deliverables. • Contribute to model monitoring, performance tracking, and retraining pipelines post-deployment. Required Skills & Experience: • Minimum of 5 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a proven track record of productionized models. • At least 4 years of experience working as a customer-facing consultant or technical lead. • Proficiency in Python, pandas, scikit-learn, and commonly used data libraries. • Strong understanding of MLflow for tracking, experiment management, and deployment. • Knowledge of Databricks or Apache Spark is a strong plus. • Strong communication skills and ability to explain complex solutions in accessible terms.