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)
... 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 ...
... overall experience, including at least 4 years in AI/ML.- Strong expertise in GenAI, LLMs, RAG, AI Agents, and AI Automation.- Hands-on experience with LangChain, LangGraph, MCP, Python, and vector databases.- Experience in AI architecture, MLOps, cloud platforms, and production deployments.- Proven AI/ML team leadership ...
... 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 ...
... 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 ...
... experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent https://jobeax.com/link/OfTNakiwtq51n9YB ...
... 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 ...
... with data science expertise.- Contribute to new AI products and to IP such as patents, whitepapers and publications.Must-have qualifications : - 10+ years in data science or ML, with at least 3 years leading data scientists and delivering projects end to end.- Strong Python and a deep understanding of modern model architectures, ...