Job Description:We're looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs), solid GenAI/LLM experience, and the ability to work end-to-end on GCP-based ML solutions including deployment, APIs, and CI/CD.Key Responsibilities:- Build, train, and optimize ML/GenAI models (RAG, embeddings, LLM integrations)- Develop production-grade services using Python + FastAPI- Deploy ML workloads on GCP (Cloud Run, BigQuery, GCS, Pub/Sub)- Design scalable APIs and lead API integrations- Contribute to Cloud Migration and ML platform modernization- Implement CI/CD for ML pipelines and microservices- Apply OOPS principles for clean, modular design- Work collaboratively with Product, Data Engineering, and Infra teamsMust-Have Skills:- Strong hands-on Python- GenAI / LLM development- GCP ML pipelines and deployment services- FastAPI- CI/CD (Jenkins / GitHub Actions)- API Development & API Management- Solid OOPS fundamentals (ref:hirist.tech)
Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...
... experience.- Develop & Fine-Tune LLMs : Lead the development of advanced generative models for nuanced tasks like automated content creation, summarization, and metadata enrichment.- Own the Gen AI Stack : Select, provision, and optimize our stack, leveraging managed services like Azure OpenAI or AWS Bedrock, or self-hosting models ...
... personalization, segmentation, or GenAI feature), including design, implementation, evaluation, launch, and postlaunch impact analysis.- Develop and maintain scalable data pipelines, specifying volume, SLA, latency/freshness targets, backfill strategies, and robust failure handling.- Apply appropriate ML frameworks and dataengineering ...
... across industries and improve https://jobeax.com/link/5YRS9DTm3q50jdTy Location : Bangalore. Five Days https://jobeax.com/link/w3X4TcMVG09RGpn6 AI Engineer - Generative AI & LLMs : At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, ...
... engineering, and LLM evaluation.- Strong understanding of NLP pipelines, document processing, information extraction, classification, summarization, and conversational AI.- Extensive experience with Hugging Face, LangChain, LlamaIndex, or comparable LLM/NLP ecosystems.- Strong knowledge of vector databases such as FAISS, Pinecone, ...
ABOUT US:SG Analytics (SGA), a Straive company, is a leading global data and AI consulting firm delivering solutions across AI, Data, Technology, and Research. With deep expertise in BFSI, Capital Markets, TMT (Technology, Media & Telecom), and other emerging industries, SGA empowers clients with Ins(AI)ghts for Business ...
... development of Generative AI and Agentic AI frameworks to automate complex workflows and enhance operational productivity.- Design and fine-tune Large Language Models (LLMs) to improve natural language understanding and generation capabilities within proprietary applications.- Collaborate with data engineering and infrastructure ...
... Develop Generative AI/LLM solutions, including RAG and prompt engineering.- Perform model evaluation, benchmarking, and performance optimization.- Work with large datasets using Python and SQL.- Develop data pipelines and integrate ML models with production applications.- Collaborate with Data Engineers, ML Engineers, and business ...
... chunking, embeddings, vector search, prompt design).6. Mandatory Tech Skill 4 : - Must have familiarity with embeddings and vector databases such as Pinecone, FAISS, Chroma, pgvector, Weaviate, or OpenSearch.7. Mandatory Tech Skill 5 : - Must have understanding of prompt engineering and ways to evaluate LLM outputs.8. Mandatory ...
... frameworks such as TensorFlow and PyTorch. Experience with LLMs, Generative AI, RAG architectures, vector databases, and NLP. - Hands-on experience with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI. - Knowledge of data engineering, Spark, Databricks, and data pipelines. - Experience with model ...