Design and maintain end-to-end ML pipelines, build and operate model serving, and optimize cloud cost and performance. Collaborate with AI, data, and product teams to productionize notebooks into hardened services. Work 100% remotely with a fast-paced startup environment.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
# We’re Hiring: MLOps Engineer
Location: Remote
Salary: As per industry standards
Join: Immediate joiners preferred
About GalaxiQ
At GalaxiQ, we’re building the future of intelligent digital ecosystems where AI agents, data and design come together to create human-centric, intelligent products.
Our vision is simple yet bold which is to make AI feel beautifully human, intuitive, responsive and purposeful.
Your Role
GalaxiQ builds AI-driven marketing automation, real-time analytics and creative content workflows. We’re looking for an ML Ops Engineer who can turn experimental models into reliable, scalable production systems.
You will:
- Design and maintain end-to-end ML/LLM pipelines (training, evaluation, deployment).
- Build and operate model serving (APIs, workers, streaming consumers).
- Set up CI/CD for ML with proper testing, versioning and rollback.
- Own monitoring & observability (latency, drift, failures, business KPIs).
- Work with AI, data, and product teams to productionize notebooks into hardened services.
- Optimize cloud cost and performance across compute, storage, and models.
What You Bring
- 3+ years in backend / DevOps / ML Ops.
- Strong Python (bonus: Node.js/TypeScript) and cloud (GCP/AWS/Azure).
- Hands-on with Docker and Kubernetes or Cloud Run.
- Experience with CI/CD (GitHub Actions, GitLab CI, etc.).
- Familiarity with data/ML tooling (Airflow/Prefect, MLflow/W&B, BigQuery or similar).
Nice to Have
- Experience with LLM/AI APIs (OpenAI, Vertex, Bedrock) and vector DBs.
What you get
- Competitive pay, 100% remote.
- Direct ownership of core AI infrastructure for a real product, not research toys.
- Small, fast team where your decisions actually change the system.
- Curiosity about human-AI interaction (HAI) and conversational design.
Why Join GalaxiQ
- You’ll be designing next-gen AI products that redefine how users interact with intelligence.
- Work 100% remotely, collaborate with a passionate, high-performance global team.
- Fast-paced startup environment where design and innovation drive the product.
How to Apply
If design is your language and code is your brush, let’s build something extraordinary together.
- Send your portfolio + resume to info@galaxiq.ai with the subject line: “ML Ops Engineer – Application”