About This Role

At SequenceDynamics, AI is not a feature — it is the foundation. We deploy production AI systems that run customer service agents, demand forecasting engines, churn prediction models, and autonomous business workflows. As an AI/ML Engineer, you'll take models from research to production, own the full ML lifecycle, and solve problems that don't have Stack Overflow answers. You'll work directly with company founders and product architects on systems that real businesses depend on.

What You'll Do
Design, train, and productionise ML models across forecasting, NLP, anomaly detection, and recommendation domains
Build and maintain MLOps pipelines (data ingestion, feature stores, model serving, monitoring)
Collaborate with backend engineers to expose models through high-performance inference APIs
Evaluate and integrate LLM capabilities (OpenAI, Anthropic, open-source) into production agent systems
Instrument model performance monitoring and implement automated retraining workflows
Research and prototype novel approaches to client-specific AI problems
Document model architecture, training decisions,



and evaluation results rigorously

What We're Looking For
3 years of ML engineering with Python (PyTorch or TensorFlow)
Experience deploying models to production with monitoring and versioning
Solid understanding of NLP, time-series forecasting, or recommendation systems
Solid understanding of MLOps tooling (MLflow, Weights & Biases, or similar)
Experience with LLM APIs and prompt engineering in production applications
Ability to communicate model behaviour and limitations to non-technical stakeholders

Nice to Have

These aren't blockers — if you have them, outstanding. If not, tell us why you'd learn rapid.
Published research or conference papers in ML/AI
Experience with RAG architectures and vector databases (Pinecone, Weaviate, pgvector)
Background in operations research, reinforcement learning, or causal inference
Familiarity with agent frameworks (LangChain, AutoGen, CrewAI)
Experience with logistics, ecommerce, or healthcare ML use cases

📌 Ai / Ml Engineer Itanagar
🏢 Sequence Dynamics
📍 Itanagar