Job Description – AI / ML Engineer
Position: AI / ML Engineer
Location: Hyderabad
Experience: 3–6 Years
Employment Type: Full-Time
Salary: ₹10 – ₹16 LPA (Based on Experience)
About the Role
We are looking for a passionate AI/ML Engineer to design, develop, and deploy production-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, Large Language Models (LLMs), Generative AI, NLP, and cloud-native AI development. The role involves working on cutting-edge Agentic AI platforms, Voice AI, Conversational AI, Document Intelligence, and AI automation solutions.
Key Responsibilities
- Design, develop, and deploy AI/ML models for real-world business applications.
- Build and optimize Large Language Model (LLM) powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, or similar models.
- Develop Retrieval Augmented Generation (RAG) pipelines using vector databases.
- Build AI Agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Develop NLP solutions including text classification, summarization, entity extraction, sentiment analysis, and document intelligence.
- Build Voice AI applications involving Speech-to-Text (STT), Text-to-Speech (TTS), and conversational AI.
- Fine-tune, evaluate, and optimize ML models for accuracy, latency, and cost.
- Deploy AI services using Docker, Kubernetes, and cloud platforms.
- Integrate AI services with REST APIs and enterprise applications.
- Monitor model performance and continuously improve AI pipelines.
- Collaborate with product managers, backend developers, and frontend teams to deliver production-ready AI solutions.
Required SkillsProgramming
- Python (Mandatory)
- SQL
- REST APIs
- Git
AI / ML
- Machine Learning Algorithms
- Deep Learning
- Natural Language Processing (NLP)
- Generative AI
- Prompt Engineering
- LLM Evaluation
- Fine-tuning techniques
- Embeddings
- Vector Search
AI Frameworks
- LangChain
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- Hugging Face Transformers
Vector Databases
- ChromaDB
- Pinecone
- FAISS
- Milvus
- Weaviate
ML Frameworks
- PyTorch
- TensorFlow
- Scikit-learn
- XGBoost
- Pandas
- NumPy
Cloud & DevOps
- Docker
- Kubernetes
- Azure / AWS / Google Cloud
- CI/CD Pipelines
Databases
Good to Have
- Experience with Voice AI platforms (Deepgram, ElevenLabs, Azure Speech, Whisper, etc.)
- Experience with OCR and Document AI.
- Knowledge of MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
- Experience deploying GPU-based AI workloads.
- Knowledge of model optimization and inference acceleration.
- Experience with AI security, guardrails, and Responsible AI practices.
- Experience building enterprise-grade AI platforms.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- 3–6 years of hands-on experience in AI/ML development.
- Strong understanding of machine learning lifecycle and production deployment.
- Experience delivering AI applications in production environments.
Preferred Experience
Candidates with experience in one or more of the following will be preferred:
- Generative AI applications
- Conversational AI / Chatbots
- Voice AI solutions
- Agentic AI systems
- Enterprise AI platforms
- Intelligent Document Processing (IDP)
- Recommendation engines
- Predictive analytics
What We Offer
- Opportunity to work on cutting-edge AI and Generative AI projects.
- Exposure to enterprise-scale AI platforms and multi-agent architectures.
- Collaborative and innovation-driven work environment.
- Career growth opportunities in rapidly evolving AI technologies.
- Competitive salary and performance-based incentives.
Experience: 3–6 Years
CTC: ₹10–16 LPA (Negotiable based on skills and experience)
Pay: ₹1,000,000.00 - ₹1,200,000.00 per year
Experience:
- Total: 3 years (Required)
- Gen AI: 1 year (Required)
Work Location: In person
