Aurum Data Solutions
AI/ML Specialist / GenAI Lead /Agentic AI Engineer with Python
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
21 September 2026
What they need
Very urgent: AI/ML Specialist / GenAI Lead /Agentic AI Engineer with Python
Company: AurumData Solutions
Experience: 9+years (Rel.Exp: 4-5yrs in AI/ML)
Location: Knowledge City Hyderabad
Job Mode: Permanent
Work Mode: Work From Office
Key Skills: AI/ML, Python, Data Science, GenAI, AgenticAI, RAG, LLM, Langchain, LangGraph, Lora, Vector DB, etc..
Job Overview:
We are seeking a highly skilled and innovative Technology Analyst to join our team as a Gen AI Developer. As a key member of our team, you will play a crucial role in designing, developing, and implementing cutting-edge AI solutions that drive business growth and excellence. With a focus on general Artificial Intelligence, you will leverage your expertise in LangChain, Python, Gen AI, Agentic AI, Kafka, and Prompt Engineering to develop intelligent systems that can learn, reason, and interact with humans. If you have a passion for AI, a drive to work on cutting edge AI solutions and want to grow your career in this field then we encourage you to apply for this exciting opportunity.
Core AI/ML Expertise
- Deep expertise in Machine Learning fundamentals, algorithms, and statistical modeling
- Advanced knowledge of Deep Learning architectures: CNNs, RNNs, Transformers, GANs
- Strong understanding of Neural Networks and model optimization techniques
- Expertise in Natural Language Processing (NLP) and Computer Vision.
Generative AI & Large Language Models (2025)
- Hands-on experience with LLMs (GPT-4, Claude, Llama, Mistral, Gemini) (Compulsory)
- Proficiency in prompt engineering and advanced prompting techniques (Compulsory)
- Deep understanding of Transformer architecture and attention mechanisms (Compulsory)
- Experience with fine-tuning techniques: LoRA, QLoRA, PEFT (Good to have not compulsory)
- Knowledge of model compression, quantization, and optimization. (Good to have not compulsory)
- Retrieval-Augmented Generation (RAG) architecture and implementation. (Compulsory)
- Hands on experience on working with different Agentic AI frameworks and create Agentic AI solution.
Modern AI Engineering Stack
- Frameworks: PyTorch, TensorFlow, JAX, Hugging Face Transformers
- LLM Tools: LangChain, LangGraph, Autogen, CrewAI.
- Vector Databases: Pinecone, Chroma, FAISS.
- MLOps Tools: MLflow, LangSmith, Kubeflow.
- Cloud Platforms: AWS (SageMaker, Bedrock), Azure ML, Google Cloud Vertex AI
MLOps & Production Systems
- End-to-end ML pipeline design and deployment.
- Model versioning, monitoring, and observability
- Continuous integration/deployment (CI/CD) for ML systems
- Docker, Kubernetes for containerization and orchestration
- Real-time inference optimization and latency management
Leadership & Strategic Skills
Technical Leadership
- 8+ years of AI/ML experience with 3+ years in leadership roles
- Proven track record of leading and mentoring AI/ML engineering teams
- Experience architecting enterprise-scale AI systems
- Ability to make strategic technology decisions and trade-offs
- Strong system design and architectural thinking
If you are interested, please share your updated CV at [email protected]
Regards
Balaram K
Mobile: +91-9000749410
Email: [email protected]
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