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AI/ML Engineer @ Infogain

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 AI/ML Engineer

Job Description

Job Description:

JD For Junior Data Scientist

Junior Data Scientist with a specialization in Generative AI. The ideal candidate will be enthusiastic about exploring new problems, driving innovation, and leveraging advanced machine learning techniques and programming skills (especially in Python). You will assist in enhancing the analytics backend flagship products and contribute to advancing knowledge discovery solutions. This role is perfect for someone who enjoys learning, creative problem-solving, and working in a dynamic environment.

Eligibility

         Minimum Qualifications: Bachelors degree in computer science or a related field OR masters degree in statistics

         2-6 years of experience in the Analytics/Data Science domain.

         Proficiency in programming languages such as Python.

         Experience with Generative AI techniques and tools.

         Familiarity with data imputation, data cleaning, and outlier handling.

         Familiarity with cloud platforms AWS and AI/ML services.

         Knowledge of databases and associated tools such as SQL.

Technical Skills Desirable:

         Expertise in NLP and Generative AI concepts/methods/techniques like

     Prompt design/engineering

     Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT4o

     Fine-tuning through LORA/QLORA

     Multi-agentic frameworks for RAG

         Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).

Specific Responsibilities

         Requirement Gathering:

o   Translate business requirements into actionable analytical plans in collaboration with the team.

o   Ensure alignment of analytical plans with the customers strategic objectives.

         Data Handling:

o   Identify and leverage appropriate data sources to address business problems.

o   Explore, diagnose, and resolve data discrepancies, missing values, and outliers.

         Development and Execution:

     Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion.

     Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals.

     Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications.

     Coordinating with cross-functional teams to achieve project goals.

     Delivery of production-ready models and solutions, meeting quality and performance standards.

     Monitor success metrics to ensure high-quality output and make necessary adjustments.

     Create and maintain documentation/reports.

Innovation and Best Practices:

         Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions.

Implement novel applications of Generative AI algorithms and techniques in Python


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Noida, Gurugram

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Keyskills:   python NLP Azure Generative AI Vector DB AI Agents Artificial Intelligence Machine Learning Deep Learning Pytorch Aiml RAG AWS

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Infogain

Blue Star Infotech Ltd, now part of Infogain, delivers IT services and digital transformation solutions across industries. The company emphasizes innovation, client value, and excellence through high-impact projects and human-centered design. With a global presence and over 6,000 employees, it foste...