Overview
Skills
Job Details
Job Title: IBM Watson X Developer
Location: Parsippany, New Jersey 07054 Must be local to NJ
Duration: 6+ months contract with possible extension
Interview: Video
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Key Requirements:
- Proven experience in application development with hands-on experience using IBM WatsonX platform, including WatsonX AI services such as NLP, Machine Learning, and analytics tools.
- Strong proficiency in programming languages such as Java, Python, or Node.js, with experience in RESTful APIs, cloud computing (AWS, Azure, etc.), and microservices architecture.
- Solid understanding of AI/ML algorithms and their application in real-world scenarios.
- Experience integrating WatsonX services into applications and systems, with knowledge of Watson Assistant, Watson Discovery, Watson Studio, and other WatsonX solutions.
- Familiarity with cloud-based architecture, containerization (Docker, Kubernetes), and DevOps practices.
- Experience with database management and data pipelines, including SQL, NoSQL, and big data tools.
- Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Mandatory Skills:
Technical Skills 1. Machine Learning & Deep Learning Understanding AI models, neural networks, and reinforcement learning 2. Natural Language Processing (NLP) Developing AI systems that interpret and generate human language 3. Multi-Agent Systems Understanding how AI agents collaborate, negotiate, and operate independently 4. Cloud Computing & AI Deployment Experience with AWS, Google Cloud, or Azure to deploy AI models 5. Robotics Process Automation (RPA) Designing AI-driven bots that execute repetitive tasks autonomously 6. Proficient in coding and programming languages like Java, python. 7. Experience with WatsonX Platform (Assistant, AI, Orchestrate etc) is a plus. Soft Skills 1. Critical Thinking Ability to analyze complex AI outputs and improve models 2. Ethical Reasoning Ensuring AI applications follow ethical and unbiased decision-making 3. Problem-Solving Ability to handle unexpected AI behaviors and optimize performance 4. Collaboration Working across teams to integrate AI systems seamlessly into businesses 5. Critical thinking and problem-solving are essential skills in the era of agentic AI, where professional must evaluate complex situations and make reasoned decisions under uncertainty.