Role Overview
We are looking for a Senior AI/ML Engineer to join our rapidly growing AI practice. You will design and ship production ML systems for clients across FinTech, HealthTech, and SaaS — owning the full lifecycle from data exploration to deployed, monitored inference APIs. This is a high-ownership, high-impact role. You will make real architectural decisions, mentor junior engineers, and have a direct line to clients. We are a services company but we work like a product company — long-term client partnerships, not body-shopping.
Responsibilities
- Design and implement end-to-end ML systems (data pipelines → training → serving → monitoring)
- Build RAG, fine-tuning, and agentic AI solutions using LangChain, LlamaIndex, and LLM APIs
- Implement MLOps pipelines with MLflow, Kubeflow, or SageMaker Pipelines
- Define evaluation frameworks and quality gates for model releases
- Lead technical discussions with clients and translate requirements into engineering specs
- Mentor 1–2 junior ML engineers
- Contribute to internal knowledge base and engineering blog
Requirements
- 4+ years building and deploying ML models to production
- Strong Python: NumPy, Pandas, PyTorch or TensorFlow
- Experience with LLM APIs (OpenAI, Anthropic, Gemini) and RAG architectures
- Hands-on with at least one cloud ML platform (SageMaker, Vertex AI, or Azure ML)
- Familiarity with Kubernetes for model serving (Triton, BentoML, or vLLM)
- Comfortable with SQL and at least one data orchestration tool (Airflow, Dagster)
- Strong written communication — you will write client-facing technical reports
Frequently Asked Questions
Is this role fully remote?+
Yes — fully remote. We hire across India, Europe, and the Americas. We have a 4-hour overlap window requirement for team collaboration (10am–2pm IST / 6:30am–10:30am CET).
What does the interview process look like?+
Four steps: (1) 30-min intro call, (2) async technical screening (ML system design question, 48h to answer), (3) 90-min live technical interview with two engineers, (4) 30-min values & culture fit with a founder. Total time: ~2 weeks.
What is the compensation range?+
For India-based engineers: ₹30–55 LPA depending on experience. For Europe/Americas-based: $90,000–$140,000 USD. We also offer equity for senior hires and an annual learning budget of $1,500.
Role at a Glance
Full-time
4–7 years
Greater Noida / Remote
Apply for this Role
Senior AI/ML Engineer
Or email your CV to contact@codexops.com