Senior Data Scientist
- Relanto Global
- 4 - 6 years
- Bengaluru
- 5 months ago
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Job Description
About the Role:
We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. 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:
- 4+ 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 and Wellness: Healthcare policy covering your family and parents.
- Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)
- Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.
- Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.
- Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Relanto GlobalLocation(s): Bengaluru+ View Contact
Keyskills: artificial intelligence deep learning tensorflow pytorch ml algorithms python data validation microsoft azure machine learning sql ml algorithms data science gcp predictive modeling statistical modeling aws logistic regression
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