Senior Machine Learning Engineer

About Asterdio
Asterdio is an ambitious offshore software development company, building scalable solutions for startups and enterprises across industries. We’re expanding into AI and building intelligent products that drive real-world impact in real estate, automotive, and e-commerce.

Role Overview
As a Senior ML Engineer, you’ll be a hands-on builder of AI models and infrastructure. You’ll work closely with product teams to turn messy data into production-grade ML systems. This role is ideal for someone who loves experimenting, shipping fast, and solving real business problems.

Key Responsibilities

  • Design and train models for NLP, computer vision, recommendation, and predictive systems.
  • Collaborate with engineers and product managers to build ML-powered features.
  • Own data pipelines: preprocessing, feature extraction, model training, and evaluation.
  • Deploy, monitor, and optimize models in production.
  • Conduct model experiments and A/B testing to evaluate impact.
  • Document experiments and help establish best practices for the ML team.

Required Skills & Experience

  • 5+ years in Machine Learning, Data Science, or Applied AI.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with end-to-end model lifecycle, from data wrangling to deployment.
  • Familiar with MLOps tools like Airflow, MLflow, Docker, and model monitoring.
  • Experience with REST APIs and ML service deployment (Flask, FastAPI).
  • Strong grasp of statistics and model performance metrics.
  • Ability to work independently and communicate ideas clearly.

Nice to Have

  • Experience with transformer-based models and LLM fine-tuning.
  • Exposure to domain-specific AI (real estate, automotive, e-commerce).
  • Familiarity with cloud platforms (AWS, GCP, Azure).

Why Join Us?

  • Direct impact on real products and users.
  • Fast-paced team, zero red tape.
  • Freedom to innovate, experiment, and grow.
  • Competitive salary + Hybrid flexibility.

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