Job Description :

We are looking for a Senior Associate AI/ML Engineer with 3 - 5+ years of hands-on experience in ML Engineering or Applied AI. The role involves designing, developing, optimizing, and deploying production-grade machine learning and multimodal AI solutions across text, image, audio, and video data.

Key Responsibilities :

- Develop and deploy multimodal ML models for NLP, Computer Vision, OCR, and document understanding.

- Build pipelines for text processing, entity extraction, classification, image tagging, moderation, and speech-to-text.

- Implement RAG pipelines with text and multimodal indexing.

- Optimize model inference for latency, throughput, and cost efficiency.

- Build CI/CD pipelines for ML workloads.

- Deploy AI models using Docker, Kubernetes/AKS, and FastAPI.

- Work with Azure Machine Learning for experiment tracking, model registry, training, and deployment.

- Implement model monitoring, logging, metrics, alerts, and drift detection.

- Integrate AI capabilities with enterprise search, recommendation, knowledge, document, and content platforms.

- Develop inference and retrieval APIs for downstream applications.

- Collaborate with product, data, backend, and platform teams.

- Review code, contribute to engineering standards, and mentor junior engineers.

Required Skills :

Python, PyTorch, TensorFlow, NLP, Computer Vision, Speech Models, LLM, LangChain, LlamaIndex, RAG, Vector Search, FAISS, Pinecone, Weaviate, Azure AI Search, Docker, Kubernetes, AKS, CI/CD, FastAPI

Preferred Skills :

Azure AI, Azure OpenAI, Azure Data Lake, Azure Machine Learning, Real-time Inference, Streaming Data, Distributed ML Systems, Prometheus, Grafana

Qualifications :

- 3 - 5+ years of hands-on experience in ML Engineering or Applied AI.

- Bachelor's degree in Computer Science, AI, Engineering, or related field.