Description

You will lead the design, development, and deployment of machine learning models and platforms for large-scale projects.

Responsibilities

• Design, develop, and support machine learning models and platforms for medium to large-sized projects.
• Manage the full Software Development Life Cycle (SDLC) of ML models in production environments.
• Translate business requirements into technical solutions and detailed documentation.
• Interact with both technical and non-technical stakeholders to align project goals.
• Apply data privacy and security standards throughout the development process.

Required Skills

• 5+ years of professional experience as a Machine Learning Engineer.
• Experience in NLP, Computer Vision, Recommendation Systems, Forecasting, or Classification.
• Proficiency with Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, and Apache Spark.
• Strong command of SQL and NoSQL databases.
• Experience with Infrastructure as Code (IaC) and AWS Lambda.
• Hands-on experience with AWS, Azure, or GCP.
• Experience building CI/CD pipelines using GitHub Actions, TravisCI, or similar tools.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or equivalent experience.

Key Skills

Education

Bachelor's degree