Associate Process Manager

🕒 November 17, 2025

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⚙️ Operations

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eClerx

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 $6.5M Post-IPO Equity on 2010-03

Consulting • Logistics • Manufacturing

eClerx is a trusted innovation partner that provides technology, data analytics, and process management services to some of the world’s leading brands. Their capabilities span multiple sectors, including digital customer operations and financial markets, leveraging advanced solutions like robotic process automation (RPA) and generative AI. As a globally deployed company, eClerx is dedicated to delivering exceptional outcomes through their adaptable engagement models, ensuring they meet diverse business needs across various industries.

📋 Description

• Design, implement, and deploy Deep Learning models for enterprise AI initiatives. • Develop and optimize LLM-based systems including Retrieval-Augmented Generation (RAG), Agent Orchestration, and context Memory Management. • Integrate and fine-tune LLM APIs (OpenAI, Anthropic, Google Gemini, Mistral etc.) with vector databases such as Pinecone, Chroma, FAISS etc. • Build scalable and modular AI pipelines using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI. • Conduct experimentation, evaluation, and performance tuning of AI models using Py Torch/TensorFlow/JAX. • Collaborate with data engineering and infrastructure teams to ensure seamless deployment in cloud environments (AWS/GCP/Azure). • Utilize Docker and Kubernetes for model containerization, deployment, and life-cycle management

🎯 Requirements

• Education: MS/M.Tech/Ph.D. in ComputerScience, Artificial Intelligence, Data Science or a related discipline • Strong proficiency in Python and AI development libraries. • Solid understanding of Deep learning and Machine Learning algorithms and their practical implementations. • Hands-on experience with AI frameworks • Proficiency with AI orchestration • Working knowledge of vector databases • Familiarity with cloud computing platforms and containerization technologies

🏖️ Benefits

• eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.