Sutherland Careers: AI/ML Engineer (Digital Assistants) | Chennai / Remote | Job ID REF44854R

Company :- Sutherland
Job Title :- AI/ML Engineer
Job Requisition ID :- REF44854R
Contract Type :- Temporary Work-at-Home (WAH)
Date Published :- July 29, 2026
Required Experience :- Minimum 3+ Years in Digital Assistant & AI/ML Development
Educational Background :- Bachelor’s Degree in Computer Science, Data Science, or related field
Core Technical Stack :- Python, TensorFlow, PyTorch, scikit-learn, NLP, LLMs, FastAPI/Flask
Location / Hub :- Chennai, Tamil Nadu, India (Remote / WAH)

At Sutherland, digital transformation is powered by combining human expertise with artificial intelligence. The AI/ML Engineer role focuses on developing intelligent Digital Assistants and building high-performance translation solutions. Working remotely (Temporary WAH) connected to the Chennai hub, the engineer will establish ML development pipelines, deploy backend microservices, and build NLP/LLM models that integrate with global client platforms.

AI/ML & Digital Assistant Development

• Digital Assistant Engineering: Design, build, and deploy production-grade Digital Assistants and conversational agents using core Python frameworks.
• Translation & NLP Solutions: Shape efficient neural machine translation and NLP solutions leveraging Natural Language Models (NLM) and Large Language Models (LLMs).
• Environment Setup: Work alongside existing engineering teams to establish and maintain AI/ML development, training, and testing environments.

• Backend Integration: Build, containerize, and deploy scalable API microservices using FastAPI or Flask.
• Full-Stack Collaboration: Partner with frontend teams using web technologies (React, Node.js) to integrate AI features cleanly into enterprise user interfaces.
• Data Processing Pipelines: Leverage data libraries like Pandas and NumPy to clean, structure, and process high-volume dataset streams.

Mandatory Technical Experience

• Specialized Experience: Minimum 3+ years of direct experience developing Digital Assistants and conversational system architectures.
• Core Language & Frameworks: High proficiency in Python and standard ML libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• NLP & Generative AI: Practical experience with Natural Language Processing (NLP), Neural Language Models (NLMs), and Large Language Models (LLMs).
• API Development: Hands-on expertise with FastAPI or Flask for serving machine learning models.

• Web Engineering Exposure: Familiarity with modern frontend and server environments (React, Node.js).
• Cloud Architecture: Exposure to cloud deployment platforms (AWS, Azure, or GCP).
• Education: Bachelor’s degree in Computer Science, Data Science, or relevant practical project portfolio.

[ User Query / Input ]
          ↓
[ React / Node.js Frontend Layer ]
          ↓
[ FastAPI / Flask REST Services ]
          ↓
[ NLP / LLM Digital Assistant Engine (PyTorch / TensorFlow) ]
          ↓
[ Translation & NLM Processing ]
          ↓
[ Response Generation & Inference ]

Estimated Compensation Expectations

For an AI/ML Engineer with 3+ years of experience in Digital Assistants/LLMs at Sutherland (Chennai/WAH):

• Estimated Salary Range: ₹9,00,000 to ₹15,00,000 INR per annum, depending on technical evaluation and depth of LLM/NLP expertise.

1. Digital Assistant Systems: Intent classification, entity extraction, dialogue management, context retention, and fallback handling.
2. LLM & NLP Engineering: Prompt engineering, fine-tuning language models, tokenization, embeddings (Word2Vec, BERT, OpenAI/HuggingFace ecosystems), and RAG (Retrieval-Augmented Generation).
3. API Serving with FastAPI: Async endpoints, Pydantic data validation, CORS configuration, and model inference latency optimization.
4. Data Manipulation: Efficient array manipulation and dataframe processing using NumPy and Pandas.

Incorporate these ATS-optimized keywords into your resume for maximum screening match:

• AI/ML Engineer
• Job ID REF44854R
• Digital Assistant Development
• Natural Language Processing (NLP)
• Large Language Models (LLMs) & NLMs
• Python, TensorFlow, PyTorch, scikit-learn
• FastAPI, Flask REST APIs
• Pandas, NumPy Data Pipelines
• React, Node.js Web Integration

• Sutherland Chennai / Temporary WAH
• Model Deployment & Inference Optimization
• Conversational AI Systems
• Agile Software Engineering

1. What is the Job ID for this position?

The official job requisition ID is REF44854R.

2. Is this a remote role?

Yes, this position is categorized as Temporary Work-at-Home (WAH) linked to Sutherland’s Chennai location.

3. What is the minimum experience required?

Candidates must have at least 3 years of experience specifically developing Digital Assistants using Python and ML/NLP frameworks.