Java Lead with Python for AI / ML Solutions

Job Summary:

We are looking for a seasoned Java Lead with strong expertise in Python for AI/ML solutions. This hybrid role is ideal for someone who has deep backend development experience in Java, and hands-on skills in Python-based AI/ML model development and integration. You will lead the architecture and development of scalable enterprise systems that incorporate intelligent machine learning features.

Key Responsibilities:

• Lead end-to-end design and development of Java-based enterprise applications integrated with Python-driven AI/ML models.
• Collaborate with data scientists to understand model requirements and help in productionizing ML models.
• Design robust APIs and services to interface between Java and Python systems.
• Guide the team in Java best practices, system architecture, and AI/ML integration patterns.
• Oversee performance tuning, scalability, and security of the applications.
• Contribute to the architecture of AI/ML pipelines, including data ingestion, model inference, and retraining workflows.
• Lead code reviews, technical discussions, and mentor junior engineers.

Required Skills and Experience:

• 8+ years of Java development experience, including Spring Boot, RESTful APIs, multithreading, and microservices architecture.
• 2 4 years of Python experience, especially in implementing or integrating AI/ML solutions.
• Solid understanding of machine learning concepts, data preprocessing, model evaluation, and deployment techniques.
• Proficiency with AI/ML libraries such as TensorFlow, Scikit-learn, PyTorch, or Keras.
• Experience integrating Python ML models into Java applications using REST APIs, gRPC, or interoperability frameworks like Jython or Py4J.
• Knowledge of CI/CD pipelines, version control (Git), and DevOps practices for deploying ML applications.
• Exposure to cloud platforms (AWS/Google Cloud Platform/Azure) and containerization (Docker, Kubernetes).
• Strong understanding of software architecture, object-oriented design, and design patterns.
• Preferred Qualifications:
• Bachelor s or Master s degree in Computer Science, Engineering, or related technical field.
• Certifications in Java, Python, or AI/ML.
• Experience with data processing pipelines (e.g., Apache Kafka, Spark).
• Familiarity with MLOps tools and workflows.

Soft Skills:

• Strong leadership and mentoring abilities.
• Effective communication and collaboration skills.
• Analytical mindset with problem-solving capabilities.
• Ability to work in a fast-paced, agile environment with cross-functional teams.