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IBM Off Campus for Freshers 2024 Details :
IBM Off Campus 2024 Eligibility Criteria :
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Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
- Proficient understanding of web markup, including HTML5, CSS3
- Understanding of server-side CSS pre-processing platforms, such as LESS and SASS
- Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
Required Technical and Professional Expertise
- Education: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.
- Proven work experience as a Front-end developer
- Hands-on experience with markup languages
- Experience with JavaScript, CSS and jQuery
- Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable.
- Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus.
- Solutioning Experience: Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions.
- Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions.
- Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
- Growth mindset: Demonstrate a growth mindset to understand clients’ business processes and challenges
Preferred Technical and Professional Expertise
- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
- Familiarity with Agile development methodologies
- Experience with AI and/or data governance
- Experience with building business automation or digital labor solutions
- Experience with building customer care solutions/digital assistants
- Experience with Ansible
- Experience with Red Hat OpenShift
- Experience with Kubernates
- Experience with vector DB’s or open file formats like parquet ,avro or orc
- Experience with Apache Iceberg
- Experience with key value (redis)
- Experience in Cognos development with skills of designing, developing, and deploying dashboard solutions and multi-dimensional reports using IBM’s Cognos
- Proficient in spoken & reading Japanese/Spanish/German/French/Portuguese language
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