NeuraTalk, an AI company backed by Singapore investors, is seeking a Python MLOps Engineer to join our founding team. Opportunity For Experienced candidates only. This role starts as a 3-month provisional period with a fixed pay of ₹25,000 per month. Upon successful completion, candidates will be offered a full-time role with a package of ₹6 LPA. - Annual Bonus Extra Role Overview Design, build, and maintain advanced ML Ops pipelines for cutting-edge AI models, focusing on agentic RAG, LangChain integration, fine-tuning, and scalable deployment. Open for experienced candidates passionate about ML infrastructure and automation. Technical Requirements Strong Python programming skills (Required) Experience with advanced Retrieval-Augmented Generation (RAG) systems and agentic AI design Proficiency with LangChain framework for building LLM applications Experience in fine-tuning large language models on domain-specific data Skilled in building end-to-end ML pipelines for training, validation, and deployment Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) Experience with CI/CD for ML models and monitoring model performance post-deployment Understanding of vector databases and embedding techniques (e.g., FAISS, Pinecone) Knowledge of model serving frameworks (e.g., FastAPI, TorchServe) Experience with experiment tracking and hyperparameter tuning tools (e.g., MLflow, Weights & Biases) Basic understanding of NLP and transformer architectures Responsibilities Develop and maintain scalable MLOps pipelines for advanced AI solutions Build and optimize agentic RAG workflows integrating LangChain and other LLM tools Fine-tune models on specialized datasets to improve accuracy and relevance Automate model deployment and monitoring to ensure high availability and performance Collaborate closely with data scientists and ML researchers to operationalize models Implement logging, alerting, and performance tracking for production models Contribute to infrastructure design for seamless model updates and rollback For Experienced Developers 2+ years in Python-based MLOps or ML Engineering roles Hands-on experience with LangChain or similar agentic AI frameworks Strong cloud deployment and container orchestration skills Proven track record of delivering production ML pipelines Ability to work independently and as part of a cross-functional team Benefits Remote work flexibility Early-stage equity (ESOP) Direct collaboration with the founding AI research and product team Opportunities for growth and leadership in AI infrastructure Future Singapore relocation opportunity Continuous learning and innovation-driven environment Work Culture Innovation-driven AI startup Remote-first with flexible working hours Transparent communication and team-oriented Direct impact on cutting-edge AI product development Equal opportunity employer promoting diversity and inclusion #AI #MLOps #Python #LangChain #RAG #MLDeployment #RemoteWork #Startup #India #Singapore Show more Show less