Why you:
As an AI / ML Engineer, you will be a contributor to the design, development, and implementation of Artificial Intelligence and Machine Learning solutions. Your primary focus will be on developing, implementing, and maintaining robust, scalable, and reliable AI/ML pipelines, with an emphasis on integrating and optimizing models, including Large Language Models (LLMs) and Generative AI technologies, into client and internal products. Your role requires a deep knowledge of ML engineering best practices and the AI ecosystem, coordinating with data scientists and software engineering teams.
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What you will be doing:
Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects.
Deploy, manage,
and scale AI models, including pre-trained models (e.g., LLMs) and custom ML models, into production environments.
Work with data scientists to implement model prototypes into scalable, production-ready AI systems.
Optimize and tune model performance, latency, and cost-efficiency on cloud platforms.
Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment.
Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems.
Coordinate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows.
Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies.
What we need from you:
Bachelor’s or Master’s degree in Com
📌 AI/ML Engineer (India)
🏢 Pythian
📍 India