[Hiring] Senior AI/ML Engineer @ConsultNet

Role Description

We are seeking a Senior Data Scientist to build and deploy production-ready machine learning and generative AI solutions. This role focuses on developing intelligent systems using LLMs, agent-based architectures, and scalable MLOps practices.

Key Responsibilities

• Build, deploy, and optimize ML and generative AI solutions in production
• Develop Retrieval Augmented Generation (RAG) pipelines and AI agents
• Implement agent orchestration patterns (MCP, A2A) using LangChain and LangGraph
• Design MLOps pipelines for model training, deployment, monitoring, and feedback loops
• Collaborate with data engineering teams on data pipelines and features
• Mentor junior data scientists and contribute to AI best practices

Qualifications

• 5 years in data science or machine learning
• Strong experience with LLMs, generative AI, and prompt/context engineering
• Hands-on RAG and vector database experience
• Proficiency in Python, PyTorch and/or TensorFlow
• Solid MLOps experience (CI/CD, model versioning, monitoring)
• Experience deploying models on cloud platforms (AWS, Azure, or GCP)
• Strong communication and stakeholder engagement skills

Preferred Experience

• Regulated industry experience (finance, healthcare)
• Experience with OpenAI / Anthropic APIs
• Vector databases (Pinecone, Weaviate, Chroma)
• Large-scale or distributed model deployment
• Open-source ML/AI contributions

Tech Stack

• Python, SQL
• PyTorch, TensorFlow, scikit-learn
• LangChain, LangGraph, Hugging Face
• Docker, Kubernetes, MLflow
• AWS / Azure / GCP
• Vector databases

Bonus/Soft Skills

• The team values adaptability, eagerness to learn, and excitement about AI/ML and GenAI.
• Company culture is collaborative and fast-paced, with a focus on innovation.
• The team is currently using Snowflake and Azure, with professional services support for MLOps setup.