We are looking for a Machine Learning Engineer with strong backend engineering skills to help build and scale AI-powered products. This role is ideal for engineers with 1–2 years of professional experience who have hands-on experience developing machine learning solutions while building reliable, production-grade backend systems.
You'll work closely with engineering and product teams to design, deploy, and optimize ML-powered applications that serve real-world users at scale.
Responsibilities
- Design, develop, and deploy machine learning models into production.
- Build and maintain scalable backend services and APIs that power AI applications.
- Develop data pipelines for training, inference, and model evaluation.
- Optimize model performance, latency, and reliability in production.
- Collaborate with product, infrastructure, and software engineering teams to deliver end-to-end AI features.
- Monitor production systems and continuously improve model accuracy and backend performance.
- Write clean, maintainable, and well-tested code.
Qualifications
- Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 1–2 years of professional software engineering or machine learning experience.
- Strong programming skills in Python and/or Java, Go, or C++.
- Experience building backend services using modern frameworks (FastAPI, Flask, Django, Spring Boot, etc.).
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Familiarity with REST APIs, distributed systems, and cloud platforms (AWS, GCP, or Azure).
- Experience with SQL/NoSQL databases and version control (Git).
- Strong problem-solving and communication skills.
Preferred Qualifications
- Experience deploying ML models in production.
- Knowledge of LLMs, generative AI, or NLP applications.
- Experience with Docker, Kubernetes, CI/CD, and MLOps tools.
- Familiarity with vector databases, model serving, or distributed training.
- Startup experience or experience working in fast-paced engineering environments.