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Senior AI Engineer

Weekday AIBengaluru, Karnataka๐Ÿ‡ฎ๐Ÿ‡ณIndia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationBengaluru, Karnataka, India
DockerGCPAWSMLOpsA/B TestingComputer VisionData PrivacyPyTorchPythonTensorFlowGenerative AIAzureKubernetesCI/CD

Job description

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿญ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฎ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿญ๐Ÿฑ-๐Ÿฎ๐Ÿฑ ๐—Ÿ๐—ฃ๐—”)

Experience: 8+ yrs

Location: Bangalore

As a Senior AI Engineer, you will be responsible for designing, building, and deploying cuttingโ€‘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, highโ€‘performance applications. Your deep expertise in Python and machineโ€‘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.

๐—ž๐—ฒ๐˜† ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€

โ€ข Design and implement endโ€‘toโ€‘end Gen AI architectures using Python and relevant libraries.

โ€ข Develop reproducible data pipelines and model training workflows for largeโ€‘scale datasets.

โ€ข Optimize model inference performance for deployment on cloud and edge platforms.

โ€ข Conduct rigorous evaluation, validation, and A/B testing of generative models.

โ€ข Collaborate with crossโ€‘functional teams to integrate AI solutions into the product suite.

โ€ข Research stateโ€‘ofโ€‘theโ€‘art techniques and evaluate their applicability to business problems.

โ€ข Mentor and coach junior engineers, fostering a culture of continuous learning.

โ€ข Lead code reviews and enforce coding standards, documentation, and unit testing.

โ€ข Ensure adherence to data privacy, security, and ethical guidelines in AI development.

โ€ข Communicate complex technical concepts to nonโ€‘technical stakeholders and stakeholders.

๐—ช๐—ต๐—ฎ๐˜ ๐— ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—ฎ ๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐—™๐—ถ๐˜

โ€ข 8+ years of professional experience in AI/ML engineering with a focus on Generative AI.

โ€ข Proficiency in Python, PyTorch, TensorFlow, and related deepโ€‘learning libraries.

โ€ข Strong background in natural language processing or computer vision, depending on domain.

โ€ข Handsโ€‘on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

โ€ข Demonstrated ability to lead endโ€‘toโ€‘end AI projects from research to production.

โ€ข Familiarity with MLOps practices, CI/CD pipelines, and model monitoring.

โ€ข Excellent problemโ€‘solving skills and a passion for staying abreast of AI trends.

โ€ข Proven track record of mentoring and building highโ€‘performing engineering teams.

โ€ข Strong written and verbal communication skills in English.

โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, AI, or related field.

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