Artificial Intelligence Engineer - Machine Learning

Urgent requirement for AI Engineer for Bangalore Location.

Experience- 9-15 Yrs

Job Location- Bangalore

Job Description :

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.

Key responsibilities include :

AI Solution Development :

- Lead the design and development of AI models and algorithms using frameworks such as TensorFlow, PyTorch, and Keras.

- Develop and code robust AI components, services, and libraries, ensuring they are scalable, maintainable, and optimized for performance.

- Implement advanced AI techniques, including Generative AI, Reinforcement Learning, and Fine-Tuning, to solve complex business problems.

Technical Leadership and Collaboration :

- Collaborate with AI architects, data scientists, and software engineers to design and build end-to-end AI solutions.

- Provide technical leadership to the development team, guiding them through the design, coding, testing, and deployment of AI models.

- Engage with KPMG member firms and other stakeholders to understand their requirements and translate them into technical solutions.

AI Product Lifecycle Management :

- Lead all phases of the AI product lifecycle, including prototype development, proof of concept (PoC), minimum viable product (MVP), and full-scale production.

- Work closely with product management and testing teams to ensure that AI products are developed/ launched according to specifications and timelines.

- Drive the continuous improvement of AI products, incorporating user feedback and new technological advancements.

Cloud and Infrastructure Management :

- Deploy AI models and services in cloud environments, primarily using Azure, ensuring scalability, reliability, and security.

- Implement CI/CD pipelines, Docker containers, and Kubernetes for efficient AI model deployment and management.

- Optimize the infrastructure for AI workloads, ensuring cost-effectiveness and high performance.

Work experience :

- 9+ 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.