Senior ML Engineer
Design and deploy production ML systems at enterprise scale with MLOps discipline and measurable business impact.
The Role
About the Role
You will architect, train, and deploy machine learning systems for enterprise clients—owning the full lifecycle from experimentation through production monitoring. This role sits at the core of our AI engineering practice.
What You'll Do
Responsibilities
- Design production ML pipelines with reproducible training and deployment workflows
- Implement model monitoring, drift detection, and automated retraining strategies
- Collaborate with data engineers and product teams on feature stores and inference APIs
- Guide technical decisions on model selection, evaluation, and explainability
- Document architectures and contribute to Jupiter AI engineering standards
Required Skills
- Python, PyTorch or TensorFlow, scikit-learn
- MLOps: MLflow, Kubeflow, or equivalent
- Cloud ML services (AWS SageMaker, Azure ML, or GCP Vertex)
- Docker, Kubernetes, CI/CD for ML workloads
- Strong software engineering and testing practices
Preferred Qualifications
- Experience with LLMs, RAG, or generative AI in production
- Federated learning or privacy-preserving ML
- MS/PhD in CS, ML, or related field
Why Join Us
Benefits & Perks
About Jupiter AI
Build intelligence into the enterprises of tomorrow.
Jupiter AI Solutions engineers production-grade AI systems for Fortune 500 and high-growth organizations. Our teams work at the intersection of strategy, data, and software—shipping platforms that deliver measurable business outcomes.
- Work on mission-critical AI and cloud programs
- Collaborate with senior architects and researchers
- Continuous learning in a practitioner-led culture
- Global clients across healthcare, finance, and manufacturing
FAQ
Frequently Asked Questions
What is the interview process?
Our process typically includes a recruiter screen, technical assessment, team interview, and leadership conversation—usually completed within 2–3 weeks.
Do you support remote work?
Yes. Many roles are remote or hybrid. Location requirements are listed on each job posting.
What is the typical timeline to hear back?
Our HR team reviews applications within 5 business days. Shortlisted candidates are contacted directly.
Can I apply for multiple roles?
Yes. Submit a separate application for each role so we can match your profile accurately.
Apply
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