AI/ML Engineer
Techdome (company site, opens in a new tab)5–12 yrsHyderabadOn-siteDirect career pageEst. 15–35 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, training, evaluation, and deployment of ML and deep learning models for business applications.
- Build and deploy Generative AI applications using LLMs and associated frameworks including RAG pipelines and AI agents.
- Implement MLOps practices to scale models as APIs/services with versioning, monitoring, and retraining to optimize performance and cost.
Minimum Requirements
- 5+ years of experience in ML/AI engineering or data science with production deployments.
- B.E./B.Tech/MCA or equivalent in Computer Science, IT or related field.
- Strong Python skills with scikit-learn, PyTorch or TensorFlow, and experience with LLMs (OpenAI, Anthropic Claude, Llama, Mistral).
- Immediate joiners only; work from office in Hyderabad, Indore, Noida, Delhi, Mumbai.
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI), Docker, APIs (FastAPI/Flask), and cloud platforms.
Ideal Candidate Profile
- Experienced ML engineer skilled in end-to-end model development and deployment with a focus on production-grade Generative AI solutions.
- Proficient working cross-functionally with product, data, and engineering teams to move AI projects from prototype to production.
- Hands-on experience with advanced LLM techniques including prompt engineering, RAG, fine-tuning, and use of vector databases/frameworks for large-scale AI applications.