Generative AI Engineer - Machine Learning (9-15 yrs)

Urgent requirement for Gen AI Engineer for Bangalore Location.

Experience-9-15 Yrs

Job Location- Bangalore

Job Description :

Key responsibilities include :

AI Solution Development :

- Design, develop, and deploy Generative AI models and solutions that address complex business challenges across advisory, tax, and audit services.

- Leverage platforms such as Databricks for data engineering and AI model development, AI Fabric for orchestration and deployment, and Snowflake for scalable data management.

- Utilize Azure cloud services to implement and scale AI solutions, ensuring high availability, performance, and security.

Technical Leadership and Collaboration :

- Collaborate with data scientists, AI architects, and software engineers to define technical requirements and develop end-to-end AI solutions.

- Lead the development of AI models from experimentation and prototyping through to production, ensuring alignment with business objectives.

- Work closely with cross-functional teams to integrate AI solutions into existing workflows and systems, optimizing for efficiency and usability.

Coding and Implementation :

- Write high-quality, maintainable code using Python, Scala, or similar programming languages, focusing on AI/ML libraries and frameworks.

- Develop and optimize data pipelines using Databricks, ensuring seamless data flow from ingestion to AI model training and inference.

- Implement AI solutions using AI Fabric, focusing on model orchestration, deployment, and monitoring within a cloud environment.

Data Management and Integration :

- Design and manage data architectures using Snowflake, ensuring data is organized, accessible, and secure for AI model training and deployment.

- Integrate data from various sources, transforming and preparing it for AI model development, ensuring data quality and integrity.

- Work with large datasets, applying best practices for data engineering, ETL processes, and real-time data processing.

Educational qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

- Advanced certifications in AI/ML, cloud computing, or software engineering are advantageous.

Work experience :

- 10+ years of experience in AI, Machine Learning, or related fields, with hands-on experience in developing and deploying AI solutions.

- Proven experience with AI frameworks such as TensorFlow, PyTorch, and Keras, and cloud platforms like Azure.

- Strong background in software development, including experience with Python, Java, or similar programming languages.

- Experience leading AI projects through all phases, from prototype to production.

Skills :

- Expertise in designing and coding AI components, services, and libraries.

- Strong understanding of AI/ML algorithms, model optimization, and deployment strategies.

- Proficiency in cloud-based AI development and deployment, particularly with Azure.

- Familiarity with DevOps practices, including CI/CD pipelines, Docker, and Kubernetes.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team environment.

- Strong communication skills, with the ability to translate complex technical concepts into actionable solutions.