AI / ML Engineer

Experience: 2–4 Years | Domain: AI/ML, GenAI, Speech & Vision | Location: Jodhpur, India

YOUR ROLE AND RESPONSIBILITIES

As an AI/ML Engineer (2–4 years of experience), you will be responsible for designing, building, and

deploying scalable, production-grade AI applications across Generative AI, Speech AI, Computer Vision,

and Document Intelligence. You will bridge the gap between AI research and full-scale deployment by

creating asynchronous microservices, multi-agent automation systems, and robust voice/image

processing pipelines. Additionally, you will work closely with cloud infrastructure and MLOps tooling to

containerize models, monitor system performance, and ensure enterprise-level reliability.

YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE

- Voice, Audio & Image Processing: Build and maintain workflows for speech transcription (using

Whisper), speaker diarization, voice embedding generation, speaker verification, computer vision tracking/

monitoring, and OCR-based document intelligence.

- Generative AI & Agentic Systems: Architect production-ready Retrieval-Augmented Generation (RAG)

platforms, Model Context Protocol (MCP) integrations, and multi-agent coordination pipelines for complex

business automation.

- API Development & Microservices: Design asynchronous RESTful APIs using FastAPI and Pydantic to

expose ML model pipelines, incorporating secure authentication, webhook callbacks, and cloud storage

integration.

- Document Intelligence: Construct automated data extraction systems using tools like PaddleOCR

and others to convert unstructured files and invoices into structured JSON formats.

- Performance Optimization: Evaluate model outputs,



refine prompt structures, and optimize pipeline

latency to prevent hallucinations and maintain enterprise compliance.

REQUIRED TECHNICAL AND PROFESSIONAL EXPERTISE

- Domain Expertise: Demonstrated proficiency across Voice, Audio & Image Processing (speech

transcription, speaker diarization, voice verification/embeddings, computer vision tracking, and OCR

document intelligence).

- Core Technical Stack: Robust programming skills in Python, SQL, FastAPI, Pydantic, Pandas, and

NumPy.

- Machine Learning & LLMs: Hands-on experience with PyTorch or TensorFlow, Scikit-learn, embeddings,

vector search, RAG architectures, prompt engineering, and foundation models (GPT-4o, Gemini, Claude,

Hugging Face).

- Frameworks & Agents: Experience working with orchestration toolkits such as LangChain, LangGraph,

CrewAI, or FastMCP.

- Education & Experience: 2 to 4 years of relevant professional experience with a Bachelor’s or Master’s

degree in Computer Science, Engineering, or a related technical domain.

PREFERRED TECHNICAL AND PROFESSIONAL EXPERIENCE

- MLOps & Evaluation: Experience with experiment tracking, prompt monitoring, and model evaluation

workflows using platforms like LangSmith.

- Containerization & Deployment: Proficiency with Docker containerization, asynchronous task scheduling,

and web server configurations using Nginx.

- Cloud Platforms: Hands-on familiarity with cloud environments, particularly Microsoft Azure (Azure

OpenAI Service, Azure AI Search, Azure Blob Storage, Azure VMs).

- Dashboards & Visualization: Experience building data or model evaluation dashboards using Streamlit,

Plotly, Tableau, or Matplotlib

Work Location: In person

📌 AI/ML Engineer (India)
🏢 Capsitech IT Services
📍 India