A day in the life of an Infoscion

• As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight.

• You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise.

• You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design

• You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines

• Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers.

If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

• Bachelor's or Master's (B.Tech/ M.Tech/ BE/ ME) degree in computer science, data science,

engineering, or a related field.

• 5+ years of experience in in AI, machine learning, deep learning, and statistical modeling,

with hands-on experience using tools such as PyTorch, TensorFlow, Spacy,

NLTK, NLP, MLOps – AirFlow, Big Data and related technology stack.

• Strong proficiency / hands on experience of 3+ years in Deep Learning, data analytics, text analytics etc.

• 3+ years of experience in building solutions using AI/ML.

• 1+ years of experience on Generative AI, Prompt Engineering, GPT, LLMs and Gen AI models

• Strong understanding of existing generative AI services e.g. OpenAI, Bard, Transformer Architecture etc.

• Solid understanding of data structures, algorithms, and software development principles

and development methodology (such as Agile, Waterfall).

• Very strong in trouble shooting and fixing issues in the production