Description

You will lead the architecture, design, and implementation of complex AI/ML models and systems.

Responsibilities

• Lead the design and implementation of scalable, production-ready AI/ML models and systems.
• Develop, test, and maintain high-performance Python applications and machine learning pipelines.
• Oversee model training, validation, deployment, and monitoring strategies.
• Mentor junior engineers and provide technical leadership within an Agile environment.
• Research and evaluate new tools and frameworks to improve system scalability and reproducibility.

Required Skills

• 7+ years of experience in software engineering with at least 3+ years focused on AI/ML model development and deployment.
• Strong proficiency in Python and libraries including NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Experience with machine learning algorithms, deep learning, NLP, computer vision, or recommendation systems.
• Proven ability to deploy models using Docker, REST APIs, Flask/FastAPI, or MLflow.
• Familiarity with MLOps, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).
• Solid understanding of software engineering principles, data structures, and system design.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Skills

• Experience with big data frameworks such as Spark, Kafka, or Hadoop.
• Exposure to Kubernetes or container orchestration.
• Contributions to open-source projects, published research, or knowledge of ethical AI and model fairness.

Key Skills

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence