Design, develop and deploy scalable AI/ML solutions, collaborate with teams, optimize workflows, and maintain technical standards. Requires strong Python skills and AI/ML expertise.
Experience
Key Responsibilities
Required SkillsCore Technical Skills
Communication & Soft Skills
Preferred Qualifications
Nice to Have
5–6 Years
Job TypeFull-Time
OverviewWe 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
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