Machine Learning Engineer – ML Ops & Support

Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud™, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world’s largest brands.

We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster.

This position is also a strong career pathway into ML feature development — you will work closely with Product, Data Science, and Engineering teams, gain exposure to LLMs, Agentic AI, and advanced ML tooling, and progressively take on more responsibilities in building new ML-powered product features.

Responsibilities

• Monitor, troubleshoot, and maintain ML pipelines and services in production, ensuring high availability and minimal downtime.
• Work closely with Data Scientists and Engineers to operationalize ML/LLM models, from development through deployment.
• Build and maintain observability tools for tracking data quality, model performance, drift detection, and inference metrics.
• Support LLM and Agentic AI features in production, focusing on stability, optimization, and seamless integration into the platform.
• Develop and enhance internal ML tooling for faster experimentation, deployment, and feature integration.
• Collaborate with Product teams to roll out new ML-driven features and improve existing ones.
• Work with DevOps to improve CI/CD workflows for ML code, data pipelines, and models.
• Optimize resource usage and costs for large-scale model hosting and inference.
• Document workflows, troubleshooting guides, and best practices for ML systems support.
  
  

About You

• B.E./ B.Tech in Computer Science, Engineering, or related field.3–5 years of experience in software engineering, ML Ops, or ML platform support.
• Strong Python skills, with experience in production-grade code and automation. Experience with ML pipeline orchestration tools (Airflow, Prefect, Kubeflow, or similar).
• Familiarity with containerized microservices (Docker, Kubernetes) and CI/CD pipelines.
• Experience monitoring ML systems using tools like Prometheus, Grafana, ELK, Sentry, or equivalent.
• Understanding of model packaging and serving frameworks (FastAPI, TorchServe, Triton Inference Server, Hugging Face Inference API).
• Strong collaboration skills with cross-functional teams.
  
  

Good to Have

• Exposure to LLM operations (prompt engineering, fine-tuning, inference optimization).Familiarity with Agentic AI workflows and multi-step orchestration (LangChain, LlamaIndex).
• Experience with data versioning (DVC, Delta Lake) and experiment tracking (MLflow, Weights & Biases).
• Knowledge of vector databases (Pinecone, Weaviate, FAISS).
• Experience with streaming data (Kafka) and caching (Redis).
• Skills in cost optimization for GPU workloads.
• Basic understanding of system design for large-scale AI infrastructure.
  
  

If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!

Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Benefits Summary

At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits, and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.