onsite
AI Engineer - Litmus7 System Consulting
AI Engineer
AI Engineer focused on advanced machine learning, NLP, and generative AI. Build and deploy agentic AI solutions using frameworks like Langgraph, Autogen, and ADK, while ensuring robust MLOps practices.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for supervised, unsupervised, deep learning, and reinforcement learning tasks.
- Implement NLP solutions including language models, text generation, sentiment analysis, and other text‑centric applications.
- Create generative AI products (text, image, audio synthesis) using diffusion models, transformers, and other state‑of‑the‑art techniques.
- Build and maintain agentic AI systems, integrating frameworks such as Langgraph, ADK, and Autogen to deliver real‑world applications.
- Establish end‑to‑end MLOps pipelines for model training, validation, deployment, monitoring, and continuous improvement.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
Requirements
- Proven experience in machine learning, NLP, and generative AI.
- Hands‑on expertise with agentic AI frameworks (Langgraph, ADK, Autogen).
- Strong background in MLOps, including CI/CD, model serving, and monitoring.
- Proficiency in Python and related ML libraries (PyTorch, TensorFlow, Hugging Face).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
machine learningnatural language processinggenerative aimlopspython