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ABB
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society. For more information on PA, refer to https://global.abb/group/en/investors/strategy-events/pa-capital-markets-day-2022.
Job Title:
Software Engineer
Last Date To Apply:
Not Specified
(Apply Link at the end)
Experience Level:
Candidates with 0 years of experience can apply
Job Location:
Bangalore, Karnataka, India
Salary:
Not Specified
Eligible Batches:
Not Specified
Requirements:
Bachelor’s degree in Computer Science, Engineering or a related field. University students graduating soon or recent graduates
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
Job Description:
Here is what you will get to do –
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
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