IBM Careers for Freshers 2023 Hiring as AI Engineer of Any Degree Graduate
Are you passionate about artificial intelligence and eager to embark on a career that makes an impact? IBM Careers for Freshers 2023 is looking for fresh talent to join its ranks and become part of the AI revolution. As an AI Engineer at IBM, you’ll have the opportunity to work on cutting-edge projects, collaborate with experts in the field, and contribute to the development of AI solutions that drive innovation.
IBM’s commitment to diversity, inclusion, and professional growth means you’ll be part of a supportive and dynamic work environment where your ideas can flourish. Whether you’re a recent graduate or an experienced professional, IBM welcomes individuals from all backgrounds to be a part of its mission to harness the power of AI for a smarter and more connected world. Your journey to becoming an AI Engineer starts here with IBM.
About IBM:
IBM, or International Business Machines Corporation, is a renowned global technology company with a rich history spanning over a century. Established in 1911, IBM has been at the forefront of innovation, pioneering numerous advancements in the world of computing and technology. Today, it stands as a leading provider of a wide range of technology products, services, and solutions, including artificial intelligence (AI), cloud computing, data analytics, and more.
IBM’s commitment to innovation and excellence has made it a trusted partner for businesses, governments, and organizations worldwide. With a diverse workforce and a strong focus on research and development, IBM continues to shape the future of technology.
Company Website: IBM
Wikipedia: IBM Wiki
Job Role: AI Engineer
Qualification: B.E/B.Tech
Batch Eligible: 2021/2022/2023
Work Location: Bangalore
Salary: Best In Industry
Experience Level: 0 – 1 Year
Responsibilities:
- 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.
- 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, Data Science or a related field.
- Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
- 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: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms
How to Apply for IBM Off Campus Drive 2024
Interested and eligible candidates can apply online for IBM Recruitment 2023 through the provided link
For More Update Join Available Links
