Job Description

ROLES & RESPONSIBILITIES

Key Responsibilities

Design, develop, and optimize

Machine Learning & Deep Learning models

using

Python

and libraries such as

TensorFlow, PyTorch, and Scikit-learn

Work with

Large Language Models

(e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing,

embedding generation, vector search, and prompt orchestration

. Build and manage

vector databases and metadata stores

to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct

independent R&D

to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply

predictive analytics

and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain

robust data pipelines

and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with

cross-functional teams

to integrate AI solutions into business processes Contribute to the

MLOps lifecycle

, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the

latest developments

in AI/ML by reading academic papers, and experimenting with novel tools or frameworks

Required Skills & Qualifications

Proficient in

Python

, with hands-on experience in key ML libraries:

TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers

Strong understanding of

machine learning fundamentals

,

deep learning architectures

(CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning

LLMs

and foundation models Deep understanding of

vector search, embeddings, and semantic retrieval techniques.

Expertise in

predictive modeling

, including regression, classification, time series, clustering, and anomaly detection Comfortable working with

large-scale datasets

using Pandas, NumPy, SciPy etc. Experience with

cloud platforms

(AWS, GCP, or Azure) for training and deployment is a plus
EXPERIENCE


8-11 Years
SKILLS


Primary Skill: AI/ML Development
Sub Skill(s): AI/ML Development
Additional Skill(s): TensorFlow, Pytorch, GenAI Fundamentals
ABOUT THE COMPANY


Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).



Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakow, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.