Mid-Level AI / Machine Learning Software Engineer

Full Description

Job Summary

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.

Key Responsibilities

• Design, develop, and deploymachine 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.

Soft Skills

• Strong problem-solving and analytical skills.

• Ability to communicate technical concepts clearly to non-technical stakeholders.

• Collaborative mindset with the ability to work independently when needed.

• Attention to detail and commitment to high-quality engineering standards.

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.

Job Type: Full-time

Work Location: Remote