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 ...
... 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 ...
... 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 ...