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.

Minimum Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Minimum of 4 years of hands-on experience in Data Science, Machine Learning, Generative AI, and MLOps, with a proven track record of productionized models.

• At least 3 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.