Job Description & How to Apply Below
Work Model:
Hybrid – 3 days mandatory to office in a week
Work location – Major locations ( Gurugram, Noida, Chennai, Bangalore, Kolkata, Pune)
Responsibilities
Develop transformative AI/ML solutions to address our clients' business requirements
and challenges
Project Delivery - This would entail successful delivery of projects involving data Preprocessing,
Model Training and Evaluation, Parameter Tuning
Manage Stakeholder/Customer Expectations
Project Blue Printing and Project Documentation
Creating Project Plan
Understand and research cutting edge industrial and academic developments in AI/ML
with NLP/NLU applications in diverse industries such as CPG, Finance etc.
Conceptualize, Design, build and develop solution algorithms which demonstrate the
minimum required functionality within tight timelines
Interact with clients to collect, synthesize, and propose requirements and create effective
analytics/text mining roadmap.
Work with digital development teams to integrate and transform these algorithms into
production quality applications
Do applied research on a wide array of text analytics and machine learning projects, file
patents and publish the papers
Collaborate with service line teams to design, implement and manage Gen-AI solution
Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop
innovative AI solutions.
Designing, developing, and implementing solutions tailored to meet client needs.
Understanding business requirements and translating them into technical solutions using GEN AI
Works closely with service line teams to design, implement, and manage Generative AI solutions.
ML/LLM Ops knowledge.
o Preferred atleast 1 deployment experience.
Experience with one of the cloud computing platforms
Qualifications we seek in you!
Minimum Qualifications / Skills
MS in Computer Science, Information systems, or Computer engineering
Systems Engineering with relevant experience in Text Mining / Natural Language
Processing (NLP) tools, Data sciences, Big Data and algorithms
Familiarity with Generative AI technologies, Design and Implement GenAI Solutions
ML/LLM Ops knowledge.
o Preferred atleast 1 deployment experience.
Experience with one of the cloud computing platforms
Technology
Open Source Text Mining paradigms such as NLTK, OpenNLP, Open Calais,
Stanford
NLP, GATE, UIMA, Lucene, and cloud based NLU tools such as Dialog Flow, MS
LUIS
Exposure to Statistical Toolkits such as, Weka, S-Plus, Matlab, SAS-Text Miner
Very good python programming skills. Java programming skills a plus
GenAI Tools
Certifications in AI/ML or GenAI (optional to have certification)
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