ABB Off Campus For Freshers | Software Engineer | Apply here!

About ABB:

ABB Energy Industries is enabling safe, smart and sustainable projects and operations for businesses across the oil, gas, chemicals, life sciences, power generation and water sectors. Driving integrated solutions that automate, digitalize and electrify industry we connect our people and technology to help our customers adapt and succeed. With over 50 years domain expertise, we continue to innovate and reshape traditional approaches across the energy sector with our technologies designed to improve operational efficiency, reduce risk, reduce energy consumption and waste.

Job Responsibilities:

Conducting research, designing and implementing of state-of-the-art generative AI models and architectures, leveraging machine learning techniques to drive creative content generation, natural language processing and other AI-driven applications

Developing and optimizing ML algorithms and models to train and fine-tune generative AI systems using large-scale datasets, ensuring high-quality output that aligns with desired objectives and specifications

Exploring and experimenting with advanced ML techniques to enhance the performance, efficiency and scalability of generative AI models

Collaborating with data scientists and engineers to preprocess, clean and preparing datasets for training Generative AI models

Conducting rigorous testing and evaluation of AI models to ensure their reliability, stability and generalization capabilities

Staying up to date with the latest advancements in generative AI and ML development techniques, exploring new research papers, technologies and frameworks to continually enhance our AI capabilities.

ABB off Campus Eligibility Criteria:

Bachelor’s degree in Computer Science, Engineering or a related field. University students graduating soon or recent graduates

Preferred skill:

Demonstrated passion for AI and a strong desire to work in the field of generative AI and prompt engineering

Familiarity with machine learning techniques and frameworks, such as Python, TensorFlow and PyTorch

Exposure to basics of AI, including deep learning, natural language processing and reinforcement learning.

Exposure to Generative AI concepts and frameworks such as GPT, VQ-VAE and GANs, through coursework, projects or internships

Effective communication skills with the ability to work collaboratively in a team environment

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