Assistant Manager

2 - 4 years

5 - 10 Lacs

Posted:12 hours ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Assistant Manager

EXL/AM/1462646

    ServicesGurgaon
    Posted On
    26 Aug 2025
    End Date
    10 Oct 2025
    Required Experience
    2 - 4 Years

Basic Section

Number Of Positions

1

Band

B1

Band Name

Assistant Manager

Cost Code

D901098

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

1000000.0000 - 2000000.0000

Complexity Level

Not Applicable

Work Type

Hybrid – Working Partly From Home And Partly From Office

Organisational

Group

Analytics

Sub Group

Retail Media & Hi-Tech

Organization

Services

LOB

Retail Media & Hi-Tech

SBU

Analytics

Country

India

City

Gurgaon

Center

EXL - Gurgaon Center 38

Skills

Skill

ML

AI

FULL STACK

Minimum Qualification

ANY GRADUATE

Certification

No data available

Job Description

Job Title: Senior AI & Full Stack Engineer

Location: India (Remote/Hybrid – [Gurugram])
Experience Level: 3–5 Years
Employment Type: Full-Time


Job Summary

We are seeking a highly skilled and innovative Senior AI & Full Stack Engineer to join our Capability Team. This role is ideal for someone who thrives on solving real business problems using cutting-edge technologies, from LLMs and RAG-based AI systems to scalable full stack development and cloud deployment.

You’ll play a pivotal role in designing, building, and delivering intelligent solutions that combine the latest in AI/ML, deep learning, and modern application development—all the way from concept to deployment.


Key Responsibilities

  • Design, build, fine-tune, and deploy Large Language Model (LLM)-based applications to solve business challenges.
  • Implement advanced Retrieval-Augmented Generation (RAG) pipelines with vector databases and embedding models.
  • Apply deep learning techniques (e.g., Transformers, CNNs, RNNs) to build and optimize intelligent systems.
  • Develop full-stack solutions using JavaScript (React/Angular) for frontend and Python/Node.js for backend services.
  • Integrate ML/AI capabilities into user-facing applications seamlessly.
  • Architect and deploy applications on cloud platforms like AWS, GCP, or Azure, ensuring high availability, scalability, and security.
  • Collaborate with business stakeholders to gather requirements and translate them into technical designs and deliverables.


Required Qualifications

  • Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
  • Strong hands-on experience working with multimodal like GPT, Llama, Gemini, Claude, or similar.
  • Experience building RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and embedding models (e.g., OpenAI, Hugging Face, Cohere)
  • Proven experience with ML/DL frameworks like PyTorch or TensorFlow. Strong understanding of supervised/unsupervised learning, neural networks, and NLP along with Familiarity to MLOps and CI/CD pipelines for ML models.
  • Proficient in JavaScript/TypeScript using frameworks like React, Angular, or Vue, and experienced with backend development using Python (FastAPI, Flask, Django) or Node.js.
  • Hands-on deployment experience on AWS, GCP, or Azure. Familiar with services like Lambda, S3, EC2, GKE, IAM, experienced in containerization using Docker and orchestration with Kubernetes.
  • SQL and Database Experience: Working knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, etc.)
  • Strong problem-solving abilities, business acumen, and ownership mindset.
  • Excellent communication skills and experience collaborating in agile, cross-functional teams.


Why Join Us?

  • Work on cutting-edge AI/ML projects with real business impact.
  • Be part of a forward-thinking, innovation-driven team.
  • Opportunity to grow and shape the future of AI-driven products.
  • Flexible work culture and room for continuous learning.
Workflow

Workflow Type

L&S-DA-Consulting

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