Machine Learning Engineer Job in Maganti IT
- Kpr sugar apperals
- 4 to 8 Yrs
- Hyderabad
- 2 months ago
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Job Description
- Job Overview: We are seeking a 4+ years of highly skilled LLM Engineer with expertise in working across various Large Language Model (LLM) engines to design, develop, and deploy cutting-edge AI-powered products. The ideal candidate is passionate about LLMs, generative AI, and NLP and has hands-on experience in fine-tuning, optimizing, and integrating LLMs into scalable applications. Key Responsibilities: LLM Model Selection & Optimization Work with different LLM engines (GPT, LLaMA, Mistral, Claude, Gemini, etc.) to select the best fit for specific use cases. Fine-tune and optimize models for performance, efficiency, and cost-effectiveness. Implement prompt engineering, RAG (Retrieval-Augmented Generation), and memory-based techniques for enhanced outputs. AI Product Development Design and develop LLM-powered applications, such as AI-driven assistants, chatbots, document automation, and search engines. Build scalable and innovative AI solutions that leverage multimodal models (text, voice, vision). Work on AI personalization strategies using embeddings, vector search, and advanced NLP pipelines. Integration & Deployment Deploy LLMs using cloud platforms (AWS, Azure OpenAI, GCP Vertex AI) and MLOps frameworks (Hugging Face, LangChain, Ray). Implement model monitoring, logging, and bias detection mechanisms to ensure accuracy, fairness, and security. Work with APIs and microservices to integrate AI solutions into enterprise applications. Research & Innovation Stay up to date with the latest advancements in LLMs, NLP, and generative AI. Experiment with new architectures and hybrid AI models to push the boundaries of AI innovation. Collaborate with cross-functional teams (Product, Engineering, Data Science) to drive AI-powered product enhancements. Required Skills & Qualifications: Strong expertise in Python, TensorFlow, PyTorch, and JAX. Hands-on experience with LLM APIs & Open-Source Models (OpenAI, Hugging Face, Cohere, Mistral, etc.). Deep understanding of transformer models, embeddings, tokenization, and fine-tuning techniques. Experience with RAG pipelines, vector databases (FAISS, Pinecone, Weaviate), and prompt tuning. Knowledge of cloud-based AI model deployment (AWS SageMaker, Azure ML, GCP Vertex AI). Familiarity with ethical AI, bias mitigation, and hallucination control in LLM applications. Preferred Qualifications: Experience in building LLM-powered SaaS or enterprise products. Background in Reinforcement Learning (RLHF) and few-shot learning. Knowledge of multimodal AI (text, image, and voice models). Exposure to AI security, compliance, and governance frameworks.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Machine Learning Engineer Job in Maganti IT
Contact Details:
Company: Maganti IT ResourcesLocation(s): Hyderabad
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Keyskills: Python JAX tokenization TensorFlow PyTorch
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