Quick overview
Job description
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฑ-๐ฎ๐ฑ ๐๐ฃ๐)
Experience: 8+ yrs
Location: Bangalore
As a Senior AI Engineer, you will be responsible for designing, building, and deploying cuttingโedge 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, highโperformance applications. Your deep expertise in Python and machineโlearning 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.
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Design and implement endโtoโend Gen AI architectures using Python and relevant libraries.
โข Develop reproducible data pipelines and model training workflows for largeโscale datasets.
โข Optimize model inference performance for deployment on cloud and edge platforms.
โข Conduct rigorous evaluation, validation, and A/B testing of generative models.
โข Collaborate with crossโfunctional teams to integrate AI solutions into the product suite.
โข Research stateโofโtheโart techniques and evaluate their applicability to business problems.
โข Mentor and coach junior engineers, fostering a culture of continuous learning.
โข Lead code reviews and enforce coding standards, documentation, and unit testing.
โข Ensure adherence to data privacy, security, and ethical guidelines in AI development.
โข Communicate complex technical concepts to nonโtechnical stakeholders and stakeholders.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข 8+ years of professional experience in AI/ML engineering with a focus on Generative AI.
โข Proficiency in Python, PyTorch, TensorFlow, and related deepโlearning libraries.
โข Strong background in natural language processing or computer vision, depending on domain.
โข Handsโon experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
โข Demonstrated ability to lead endโtoโend AI projects from research to production.
โข Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.
โข Excellent problemโsolving skills and a passion for staying abreast of AI trends.
โข Proven track record of mentoring and building highโperforming engineering teams.
โข Strong written and verbal communication skills in English.
โข Bachelorโs or Masterโs degree in Computer Science, AI, or related field.
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