5–6 Years
Full-Time
We are looking for a highly skilled and communication-driven Python AI/ML Engineer with 5–6 years of hands-on experience in designing, developing, and deploying scalable AI/ML solutions. The ideal candidate should have strong expertise in Python, modern AI frameworks, LLMs, data pipelines, and cloud-based deployments, along with excellent communication and client interaction skills.
The candidate will work closely with cross-functional teams, clients, and stakeholders to build intelligent systems, optimize AI workflows, and contribute to architecture and technical decision-making.
-
Design, develop, and maintain scalable AI/ML systems using Python
-
Build and deploy Machine Learning and Deep Learning models for real-world applications
-
Work on LLM-based systems, RAG pipelines, AI agents, and conversational AI solutions
-
Develop APIs and backend services for AI-powered applications
-
Handle data preprocessing, feature engineering, training, evaluation, and optimization
-
Integrate AI/ML models with web/mobile/backend systems
-
Work with vector databases, embeddings, and semantic search systems
-
Optimize inference performance, latency, and cost efficiency
-
Participate in technical architecture discussions and solution planning
-
Collaborate with product managers, designers, frontend/backend teams, and clients
-
Review code, mentor junior developers, and maintain development standards
-
Prepare technical documentation, reports, and client-facing explanations
-
Stay updated with the latest advancements in AI, LLMs, and automation technologies
-
Strong expertise in Python
-
Excellent understanding of AI/ML fundamentals
-
Hands-on experience with:
-
PyTorch / TensorFlow
-
Scikit-learn
-
Pandas / NumPy
-
FastAPI / Flask / Django
-
Experience with:
-
LLMs (OpenAI, Claude, Gemini, Llama, etc.)
-
LangChain / LangGraph / CrewAI / AutoGen
-
RAG architecture
-
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
-
Prompt Engineering
-
AI Agents & Automation workflows
-
Knowledge of:
-
NLP
-
Computer Vision
-
Embeddings & Semantic Search
-
Fine-tuning and model optimization
-
Experience with REST APIs and microservices architecture
-
Strong understanding of SQL/NoSQL databases
-
Familiarity with Docker, CI/CD, and cloud platforms (AWS/GCP/Azure)
-
Experience in model deployment and production monitoring
-
Excellent English communication skills (written and verbal)
-
Strong client handling and presentation abilities
-
Ability to explain technical concepts to non-technical stakeholders
-
Strong analytical and problem-solving mindset
-
Good leadership and mentoring capabilities
-
Ability to work independently and collaboratively in a fast-paced environment
-
Experience working on production-scale AI systems
-
Experience with synthetic data generation and AI evaluation systems
-
Knowledge of MLOps workflows
-
Exposure to real-time systems, WebSockets, or streaming pipelines
-
Experience integrating OpenAI or other AI APIs into production applications
-
Prior experience leading AI/ML teams or projects is a plus
-
Experience with:
-
YOLO / Object Detection
-
OCR systems
-
Speech-to-Text / Text-to-Speech
-
Multi-modal AI systems
-
Knowledge Graphs
-
Autonomous AI agents
-
Open-source contributions or research publications
