Overview
On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
Java
Lead
AI/ML
Job Details
Job Title: Java Lead with AI / ML (Artificial Intelligence & Machine Learning) Algorithms Level 4 (Expert)
Location: Charlotte, NC
Job Type: Contract
Experience Level: 8+ years
Domain: Software Development / AI & ML / Enterprise Applications
Job Summary:
We are seeking a highly experienced Java Lead with a strong background in AI/ML algorithms to lead the design, development, and deployment of intelligent systems and applications. The ideal candidate will have deep expertise in Java programming as well as hands-on experience with machine learning models and artificial intelligence frameworks. This is a Level 4 (Expert) position, suitable for professionals capable of making architectural decisions, mentoring teams, and delivering complex AI-driven enterprise solutions.
Key Responsibilities:
- Lead the design and development of Java-based applications integrating AI/ML capabilities.
- Architect scalable and robust solutions leveraging AI/ML algorithms.
- Collaborate with data scientists, product managers, and other stakeholders to define and implement AI/ML models into production environments.
- Mentor and guide a team of Java and ML engineers.
- Evaluate and recommend AI/ML tools, libraries, and technologies.
- Ensure adherence to best coding practices, design principles, and performance optimizations.
- Conduct code reviews and performance tuning.
- Translate business requirements into technical specifications.
Required Skills and Experience:
- 8+ years of Java development experience, with in-depth knowledge of Java SE/EE, Spring, Spring Boot, Hibernate, REST APIs.
- 3+ years of hands-on experience with AI/ML algorithms, including supervised/unsupervised learning, NLP, deep learning, etc.
- Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Experience integrating ML models with Java-based applications (e.g., using Python-Java bridges, RESTful interfaces).
- Familiarity with big data platforms (Spark, Hadoop) is a plus.
- Strong understanding of data structures, algorithms, and object-oriented design.
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform) for deploying ML models and microservices.
- Excellent problem-solving and debugging skills.
Preferred Qualifications:
- Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
- Certifications in AI/ML, Java, or cloud technologies.
- Experience with MLOps tools and deployment pipelines.
- Exposure to containerization tools (Docker, Kubernetes).
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