Senior AI Engineer

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Experience: 8+ yrs

Location: Bangalore

As a Senior AI Engineer, you will be responsible for designing, building, and deploying cutting-edge Generative AI solutions that drive business outcomes for our clients in Bangalore. You will lead complex projects from concept through production, collaborating closely with data scientists, product managers, and software engineers to translate research into scalable, high-performance applications. Your deep expertise in Python and machine-learning frameworks will guide the development of robust pipelines, while your strategic vision will shape our AI roadmap and innovation priorities. You will also mentor junior team members, champion best practices, and ensure that our AI initiatives remain compliant with ethical standards and industry regulations.

Requirements

• Design and implement end-to-end Gen AI architectures using Python and relevant libraries.
• Develop reproducible data pipelines and model training workflows for large-scale datasets.
• Optimize model inference performance for deployment on cloud and edge platforms.
• Conduct rigorous evaluation, validation, and A/B testing of generative models.
• Collaborate with cross-functional teams to integrate AI solutions into the product suite.
• Research state-of-the-art techniques and evaluate their applicability to business problems.
• Mentor and coach junior engineers, fostering a culture of continuous learning.
• Lead code reviews and enforce coding standards, documentation, and unit testing.
• Ensure adherence to data privacy, security, and ethical guidelines in AI development.
• Communicate complex technical concepts to non-technical stakeholders and stakeholders.
• 8+ years of professional experience in AI/ML engineering with a focus on Generative AI.
• Proficiency in Python, PyTorch, TensorFlow, and related deep-learning libraries.
• Strong background in natural language processing or computer vision, depending on domain.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Demonstrated ability to lead end-to-end AI projects from research to production.
• Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.
• Excellent problem-solving skills and a passion for staying abreast of AI trends.
• Proven track record of mentoring and building high-performing engineering teams.
• Strong written and verbal communication skills in English.
• Bachelor’s or Master’s degree in Computer Science, AI, or related field.