AI Engineer

Key ResponsibilitiesAI & Machine Learning Development
Design, develop, and deploy AI/ML models for business use cases.
Build and optimize machine learning pipelines from data preparation to model deployment.
Develop predictive, classification, recommendation, and NLP solutions.
Fine-tune and evaluate foundation models and LLMs.
Generative AI Solutions
Design and implement Generative AI applications using LLMs.
Develop Retrieval-Augmented Generation (RAG) solutions.
Create prompt engineering frameworks and reusable AI workflows.
Integrate AI copilots, chatbots, and virtual assistants into enterprise platforms.
Implement AI governance, monitoring, and responsible AI practices.
Data Engineering & Integration
Collaborate with Data Engineers and Data Scientists to prepare training datasets.
Develop APIs and microservices for AI model consumption.
Integrate AI services with enterprise systems and cloud platforms.
Model Deployment & Monitoring
Deploy AI solutions using MLOps best practices.
Monitor model performance, accuracy, drift, and reliability.
Ensure scalability, security, and compliance requirements are met.
Required Technical SkillsAI / ML Technologies
Machine Learning Algorithms
Deep Learning
Natural Language Processing (NLP)
Generative AI
Large Language Models (LLMs)
Prompt Engineering
Vector Databases
Programming Languages
Python (Mandatory)
SQL
Optional: Java, JavaScript, or Scala
AI Frameworks & Libraries
TensorFlow
PyTorch
Scikit-learn
LangChain
LlamaIndex
Hugging Face Transformers
OpenAI APIs / Azure OpenAI
Vector Databases
Pinecone
Weaviate
ChromaDB
FAISS
Cloud & MLOps
Azure AI Services / Azure OpenAI
AWS Bedrock / SageMaker
Google Vertex AI
MLflow
Docker
Kubernetes
CI/CD Pipelines
Database Technologies
SQL Server
PostgreSQL
MongoDB
Cosmos DB
Leadership & Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management.
Ability to translate business problems into AI-driven solutions.
Experience working in Agile/Scrum environments.
Strong collaboration with cross-functional teams.
Preferred Qualifications
Experience building enterprise AI assistants and chatbots.
Hands-on experience with RAG architectures and vector search.
Knowledge of Responsible AI, AI Safety, and AI Governance.
Exposure to Agentic AI frameworks and autonomous AI workflows.
Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain domains.
Educational Qualification
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Preferred Certifications
Microsoft Azure AI Engineer Associate (AI-102)
Microsoft Azure Data Scientist Associate (DP-100)
AWS Machine Learning Specialty
Google Professional Machine Learning Engineer
TensorFlow Developer Certificate
Key Competencies
Artificial Intelligence
Generative AI
Machine Learning
Prompt Engineering
LLM Development
NLP
RAG Architecture
MLOps
Data Analytics
Innovation & Problem Solving
Required Technical SkillsAI / ML Technologies
Machine Learning Algorithms
Deep Learning
Natural Language Processing (NLP)
Generative AI
Large Language Models (LLMs)
Prompt Engineering
Vector Databases
Programming Languages
Python (Mandatory)
SQL
Optional: Java, JavaScript, or Scala
AI Frameworks & Libraries
TensorFlow
PyTorch
Scikit-learn
LangChain
LlamaIndex
Hugging Face Transformers
OpenAI APIs / Azure OpenAI
Vector Databases
Pinecone
Weaviate
ChromaDB
FAISS
Cloud & MLOps
Azure AI Services / Azure OpenAI
AWS Bedrock / SageMaker
Google Vertex AI
MLflow
Docker
Kubernetes
CI/CD Pipelines
Database Technologies
SQL Server
PostgreSQL
MongoDB
Cosmos DB
Leadership & Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management.
Ability to translate business problems into AI-driven solutions.
Experience working in Agile/Scrum environments.
Strong collaboration with cross-functional teams.
Preferred Qualifications
Experience building enterprise AI assistants and chatbots.
Hands-on experience with RAG architectures and vector search.
Knowledge of Responsible AI, AI Safety, and AI Governance.
Exposure to Agentic AI frameworks and autonomous AI workflows.
Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain domains.
Educational Qualification
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Preferred Certifications
Microsoft Azure AI Engineer Associate (AI-102)
Microsoft Azure Data Scientist Associate (DP-100)
AWS Machine Learning Specialty
Google Professional Machine Learning Engineer
TensorFlow Developer Certificate
Key Competencies
Artificial Intelligence
Generative AI
Machine Learning
Prompt Engineering
LLM Development
NLP
RAG Architecture
MLOps
Data Analytics
Innovation & Problem Solving

Skills
Python, JavaScript, Java, Microservices, AWS, Azure, Docker, Kubernetes, CI/CD, SQL