Specialist - AIML Software Development
Accelya (company site, opens in a new tab)4+ yrsMumbaiOn-siteDirect career pageEst. 15–30 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end AI/ML architectures and technical strategy for production business-critical AI/ML products and platforms.
- Lead design, evaluation, and deployment of machine learning, deep learning, generative AI, and large language model solutions including infrastructure and MLOps.
- Define engineering standards, CI/CD processes, and governance for scalable, robust, and reliable AI systems on AWS cloud infrastructure.
Minimum Requirements
- 4+ years of hands-on AI/ML engineering or applied AI experience with evidence of technical ownership and leadership.
- Expert-level Python programming skills and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Strong experience deploying production AI/ML solutions, including Generative AI/LLM applications and AWS cloud services (SageMaker, EC2, Lambda, S3).
- Master's or Bachelor's degree in Computer Science, AI, ML, Data Science, or related quantitative field.
Ideal Candidate Profile
- Experienced technical leader with history of owning production AI/ML systems end-to-end including architecture, deployment, and continuous improvement.
- Deep expertise in machine learning, deep learning architectures, and generative AI integrating LLMs within scalable cloud infrastructure.
- Familiar with MLOps best practices, CI/CD pipelines, and production engineering for AI workloads in fast-moving product environments.