Full-Time Machine Learning Engineer

We’re looking for a Machine Learning Engineer to join our growing Data & AI team. In this role, you’ll help design, build, and deploy intelligent models and ML-powered workflows that solve real-world challenges at scale.

What You’ll Do:

• Model Development: Design, train, and refine machine learning models that tackle real business problems.
• Data Pipeline Engineering: Build and maintain robust data ingestion, preprocessing, and transformation pipelines.
• AI Workflow Integration: Contribute to end-to-end ML workflows.
• Advanced AI Techniques: Apply state-of-the-art approaches, including transformers, LLMs, RAG, embeddings, and vector databases.
• Model Monitoring & Optimization: Support ongoing evaluation and tuning of models.
• MLOps: Help establish best practices for CI/CD, testing, and automated deployment of AI models.
• Agile Collaboration: Partner effectively with cross-functional teams in an agile setting.

What You Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 3+ years of experience in machine learning engineering or applied AI development.
• Strong, hands-on experience with ML frameworks such as TensorFlow or PyTorch.
• Familiarity with cloud platforms (AWS, Azure, or Databricks).
• Solid understanding of working with large, complex datasets.
• Sharp analytical and problem-solving skills.
• Strong communication and collaboration abilities.

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