Machine Learning Engineer [33318]

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.