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.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โขDesign and implement endโtoโend Gen AI architectures using Python and relevant libraries.
โขDevelop reproducible data pipelines and model training workflows for largeโscale datasets.
โขOptimize model inference performance for deployment on cloud and edge platforms.
โขConduct rigorous evaluation, validation, and A/B testing of generative models.
โขCollaborate with crossโfunctional teams to integrate AI solutions into the product suite.
โขResearch stateโofโtheโart techniques and evaluate their applicability to business problems.
โขMentor and coach junior engineers, fostering a culture of continuous learning.
โขLead code reviews and enforce coding standards, documentation, and unit testing.
โขEnsure adherence to data privacy, security, and ethical guidelines in AI development.
โขCommunicate complex technical concepts to nonโtechnical stakeholders and stakeholders.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข8+ years of professional experience in AI/ML engineering with a focus on Generative AI.
โขProficiency in Python, PyTorch, TensorFlow, and related deepโlearning libraries.
โขStrong background in natural language processing or computer vision, depending on domain.
โขHandsโon experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
โขDemonstrated ability to lead endโtoโend AI projects from research to production.
โขFamiliarity with MLOps practices, CI/CD pipelines, and model monitoring.
โขExcellent problemโsolving skills and a passion for staying abreast of AI trends.
โขProven track record of mentoring and building highโperforming engineering teams.
โขStrong written and verbal communication skills in English.
โขBachelorโs or Masterโs degree in Computer Science, AI, or related field.