Job Description
Roles & Responsibilities
JD: We are seeking a highly skilled AI/ML Engineer to design and implement advanced forecasting models using machine learning and deep learning techniques
The ideal candidate will also have hands-on experience with agentic AI frameworks and autonomous systems
Key Responsibilities
Develop and deploy time-series forecasting models using ML/DL techniques (e-g
, ARIMA, LSTM, Prophet, Transformer-based models), Design and implement agentic AI systems capable of autonomous decision-making and task orchestration, Apply deep learning methods (CNNs, RNNs, GANs, Transformers) to structured and unstructured data, Optimize model performance and scalability using cloud platforms (AWS, Azure, GCP), Document experiments, model architectures, and deployment pipelines, Experience
8-11 Years
Skills
Primary Skill: AI/ML Development
Sub Skill(s): AI/ML Development
Additional Skill(s): Python, AI/ML Development, TensorFlow, NLP, Pytorch
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, Krak?w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru,
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Mumbai
Keyskills:
natural language processing
gcp
microsoft azure
awspython