
Cutting-Edge AI Solutions Specialist
1 day ago
Job Title: Senior AI/ML Engineer-Generative AI
Experience: 3+ years
We are seeking an experienced AI/ML engineer with a strong background in generative AI, large language models, and retrieval-augmented generation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.
Key Responsibilities:
- Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.
- Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.
- Develop and optimize ML models, leveraging classical and deep learning techniques.
- Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.
- Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.
- Develop data pipelines for training, validation, and inference.
- Work on scalable AI solutions, ensuring performance and cost efficiency in deployment.
- Collaborate with cross-functional teams to integrate AI models into production applications.
Required Skills & Qualifications:
- 3+ years of experience in AI/ML development.
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Hands-on experience with LLMs, GenAI, and RAG architectures.
- Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
- Knowledge of ML algorithms, deep learning architectures, and NLP techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
- Experience with LangChain or LlamaIndex for LLM applications is a plus.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
Perks & Benefits:
- Health & Wellness: Comprehensive healthcare policy covering your family and parents.
- Food: Enjoy scrumptious buffet lunch at the office every day.
- Hybrid Work Policy: Balance work and personal life with our flexible in-office and remote work policy.
- Professional Development: Enhance your skills and propel your career with funded online courses and workshops.
- Rewards & Recognition: Celebrate your achievements and contributions with our recognition and rewards programs.
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