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Job Description

Description :



This role will be part of a dynamic product organization that is continuously exploring and innovating in the areas of Augmented Analytics, Generative AI, Intelligent Automation around fascinating domains of Competitive Intelligence, Digital Experience Optimization, Conversation Rate Optimization, Market Insights, Supply Chain etc. across multiple industry verticals viz; Technology, Media, Telecom, Retail, CPG, Manufacturing and Lifesciences.

Job Responsibilities :


- Hands on AI product implementation and to lead a team to drive the customer success


- Solve complex business problems by applying NLP, CV and Machine Learning techniques.


- Integrate these algorithms into multiple product and solution offerings.


- Conduct research to advance the field of Generative AI, including staying up-to-date with the latest developments and techniques.


- Develop new Generative models or improve existing ones.


- Build cognitive capabilities in multiple product and solution offerings.


- Systemic study of latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems.


- Envisage next-generation challenges and recommend solutions to solve them.


- Facilitate the IP generation process in the organization and works towards patenting of inventions.


- Build effective implementation designs to deliver to business objectives, technology designs, functional requirements and client environment requirements


- Lead a small team of developers to build / modify / optimize AI components of C5i AI products


- Implementation design and customization- of core product for client specific needs and ensuring the implementation is of high quality, performance oriented and secured.


- Deliver results against measurable KRAs and meet individual, team and BU goals in effective manner.


- Continuously acquire and demonstrate knowledge in form of innovative solutions using right combination of technology, domain, process, and people.

Applied Skills :


In this role and within the team the opportunities and assignments will challenge each one to deploy their inherent and acquired skills in the areas of :

- Designs, programs, configures, tests, debugs, deploys, documents and maintains AI applications using a variety of software development toolkits, libraries and adheres to specific development best practices and quality standards.


- Has ability to work on complex, highly visible, global engagements under minimal supervision.


- Operates successfully operate in a fast-paced, dynamic and high-pressure environment.


- Capable to contribute to multiple technical programs at a single point of time.


- Strong communication skills, including the ability to convey technical information effectively to both IT and business audiences


- Business problem solving and solution design.


- Customer Centric value delivery


- Effective and targeted communication


- Creative and imaginative representation of solution and offering.


- Collaborative ideation and participative learning

Requirements & Qualifications :


- Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field.


- Total of 4 to 7 years experience


- 3 to 5 years of experience in Artificial Intelligence, Machine Learning, Deep learning, Computer Vision, Natural Language Processing (NLP)


- Knowledge of various Generative AI model and Prompt Engineering


- Strong programming skills in languages such as Python (at least 3 years in Python)


- Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).


- Familiarity with data processing tools like SQL, Pandas, or Apache Spark.


- Excellent problem-solving skills and the ability to work in a team environment.


- Strong communication skills for presenting technical information to non-technical stakeholders.


- Experience in facing and interacting with global customer for shaping or delivering enterprise solutions.


- Ability of working in a multi-locational collaborative team environment


- Experience working in an agile environment.


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