AI Engineer

Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today – planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities
As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java.

• Be a trusted Advisor of the Customer for AI / Conversational use cases.
• Work for smooth delivery of assigned projects
• Research and implement appropriate Watson AI algorithms and tools
• Design and solutioning of new requirements
• Develop machine learning applications according to requirements
• Ability to work independently and as part of a team in a fast-paced, dynamic development environment.
• Mentor / lead team in the engagements
• Be a hands-on person and deliver.
• Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security)
• Based on customer requirements, deliver the deployment
• Work across timezones based on customer requirements

Required Technical and Professional Expertise

• 10+ years’ experience of overall experience
• 4+ years Experience in AI and ML technology
• Knowledge on Generative AI
• Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai
• ETL
• Databand
• Soul Machines Digital Avatar Integrations
• Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc
• Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own.
• Working knowledge on Linux (RHEL, CoreOS, Ubuntu)
• Deploying software’s on top of Linux and troubleshoot linux related issues.
• Good hands-on Shell scripting, Python, Ansible, Java
• Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins.
• Knowledge on Dev/ops & Monitoring.

Preferred Technical and Professional Expertise

• Should be experienced in ML development life cycle processes, tools, concepts, and methodologies.
• Demonstrate good leadership skills
• Demonstrates excellent verbal and written communications skills
• Demonstrates strong analytical thinking and problem-solving skills
• Creative approach to problem solving, innovation and issue resolution
• Superior interpersonal skills and the ability to collaborate actively and proactively with others in a cross-functional team.