Role Overview :

We are seeking a seasoned AI/ML Engineer to join our high-impact technology team in Hyderabad. In this role, you will architect and deploy sophisticated machine learning models and generative AI solutions that drive tangible business value.

You will collaborate closely with cross-functional product managers, data scientists, and engineering teams to translate complex business requirements into scalable, production-grade AI systems.

By bridging the gap between experimental research and real-world application, you will directly influence our product roadmap and enhance the experience of our global user base through intelligent, data-driven automation.

Key Responsibilities :

- Design and implement end-to-end Generative AI and machine learning pipelines to solve critical business challenges and optimize operational efficiency.

- Lead the development and deployment of scalable models using PyTorch, ensuring high performance and reliability for mission-critical applications.

- Architect robust data engineering workflows using Kafka to ensure seamless, real-time data ingestion and processing for downstream AI models.

- Manage the containerization and orchestration of AI services using Docker to ensure consistent performance across diverse cloud environments.

- Collaborate with stakeholders to translate abstract business goals into actionable technical specifications, ensuring alignment between data science initiatives and organizational objectives.

- Monitor and optimize model performance in production environments, leveraging cloud-native tools to maintain high availability and accuracy.

Required Skillset :

- Demonstrated expertise in building and deploying advanced machine learning models and Generative AI applications, backed by 5 to 10 years of professional experience.

- Proficiency in Python and deep learning frameworks like PyTorch, with a strong foundation in statistical modeling to drive data-backed decision-making.

- Extensive experience in cloud infrastructure management, specifically within AWS and Google Cloud Platform, to build scalable and secure AI architectures.

- Proven ability to design and maintain data pipelines using Kafka, ensuring data integrity and low-latency processing in high-volume environments.

- Strong interpersonal skills with the ability to communicate complex technical concepts to non-technical stakeholders, fostering a collaborative and transparent work culture.

- A degree in Computer Science, Data Science, or a related quantitative field, reflecting a strong analytical background.

- Exceptional adaptability to a hybrid work environment in Hyderabad, demonstrating the ability to collaborate effectively across distributed teams.