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)
... Candidate:1. Profile:- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.2. Mandatory Experience:- 1. Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.- 2. Must have strong hands-on experience in ...
... 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 ...
... develop ML, Gen AI, NLP, LLM Models for AI data pipelines.- Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering.- Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data.- ...
... with Generative AI and Large Language Models (LLMs).- Knowledge of RAG (Retrieval-Augmented Generation) architectures.- Experience with embeddings and vector databases.- Understanding of prompt engineering.- Exposure to Agentic AI / AI Agents and agent-based architectures.- Experience integrating LLMs into production applications ...
... 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 ...
... in this role : As a Data Science Consultant & Manager, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients. Your responsibilities will involve overseeing the end-to-end process of designing, ...
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 ...
... 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 ...