Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Artificial Intelligence
Machine Learning (ML)
Docker
Kubernetes
Algorithms
Amazon Web Services
Big Data
Machine Learning Operations (ML Ops)
Job Details
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).
Soft Skills:
- Strong leadership and team collaboration capabilities.
- Excellent communication skills (written and verbal).
- Self-starter with an innovation-driven mindset.
- Ability to handle multiple priorities in a fast-paced environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.