Zensar Technologies - TP3 Developer - Machine Learning/Artificial Intelligence

Job Overview :

We are seeking a highly skilled and innovative TP3 Developer with deep expertise in Generative AI to join our team. This role is ideal for a seasoned professional passionate about building cutting-edge AI solutions, with a strong background in developing and deploying large-scale generative models. You'll be instrumental in shaping our Generative AI initiatives, from research and prototyping to production deployment and optimization.

Key Responsibilities :

- TP3 Integration & Customization: Work extensively with TP3 (Third-Party Pre-Trained Pipelines/Platforms) for Generative AI, integrating, customizing, and extending their capabilities to meet specific project requirements.

- Research & Innovation: Stay at the forefront of Generative AI research, evaluate new techniques, and integrate cutting-edge advancements into our products and solutions.

- Pipeline & Infrastructure: Build and maintain scalable data pipelines and infrastructure necessary for training, fine-tuning, and deploying large-scale generative models.

- Performance Optimization: Optimize the performance, efficiency, and scalability of Generative AI models and their inference processes.

- Cross-functional Collaboration: Collaborate closely with data scientists, machine learning engineers, product managers, and other stakeholders to translate business needs into technical solutions.

- Deployment & MLOps: Participate in the full MLOps lifecycle, ensuring seamless deployment, monitoring, and maintenance of Generative AI models in production environments.

Requirements :

- Proven hands-on experience with developing, training, and deploying various Generative AI models (e.g., GANs, VAEs, Transformers, Diffusion Models).

- Demonstrable expertise in integrating and customizing TP3 (Third-Party Pre-Trained Pipelines/Platforms) for Generative AI applications.

- Strong proficiency in programming languages commonly used in AI, such as Python.

- Extensive experience with popular AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX).

- Solid understanding of cloud platforms and their AI/ML services (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning).

- Experience with MLOps practices, including version control (Git), CI/CD for ML, model serving, and monitoring.

- Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.

- Excellent communication and collaboration skills to work effectively within cross-functional teams.

Preferred Qualifications :

- Experience with distributed training frameworks.

- Familiarity with containerization technologies (Docker, Kubernetes).

- Contributions to open-source Generative AI projects or relevant research publications.