INOBEX

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Mid-Level AI / Machine Learning Software Engineer

Full-time 📍 Remote 💰 Competitive salary and benefits package

About the Role

We are seeking a Mid-Level AI / Machine Learning Software Engineer to design, develop, and deploy scalable machine learning solutions. The ideal candidate has hands-on experience building ML models, integrating them into production systems, and collaborating with cross-functional teams to solve real-world problems using data and AI.

Responsibilities

  • Design, develop, and deploy machine learning models and AI-driven applications.
  • Build and maintain data pipelines for training, evaluation, and inference.
  • Collaborate with product managers, data scientists, and software engineers to define AI solutions.
  • Optimize model performance, scalability, and reliability in production environments.
  • Implement model monitoring, testing, and retraining strategies.
  • Write clean, maintainable, and well-documented code.
  • Stay current with advancements in AI, ML frameworks, and industry best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
  • 3–5 years of experience in software engineering with applied machine learning.
  • Strong programming skills in Python; experience with Java, C++, or Go is a plus.
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of machine learning algorithms, including supervised and unsupervised learning.
  • Experience deploying ML models in production environments.
  • Familiarity with REST APIs, microservices, and cloud platforms (AWS, GCP, or Azure).
  • Experience with SQL and data processing tools.

Preferred Qualifications

  • Experience with MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow).
  • Knowledge of NLP, computer vision, or recommendation systems.
  • Experience working with large-scale data systems (Spark, Kafka, or similar).
  • Understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
  • Exposure to responsible AI, model fairness, and data privacy concepts.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities to work on impactful AI-driven products.
  • Collaborative and innovative work environment.
  • Professional growth and learning opportunities.