AI Engineer / Data scientist
Corestrat Capital · Not specified · hybrid · Posted 41d ago
Undisclosed2–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Bachelor s, Master s, or PhD in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering or a related field.
- 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs.
- Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow.
- Knowledge of advanced prompt engineering techniques (Chain of Thought, Few-Shot, Self-Consistency).
- Experience in AI workflow automation and model orchestration.
- Hands-on experience with API development using Flask or Fast API.
- Knowledge of Statistics, Machine Learning and data analysis.
- Strong analytical skills and the ability to work in a collaborative environment.
- Build AI/ML technology stacks from concept to production, including data pipelines, model training, and deployment.
- Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), Agentic workflow and LLM-based applications.
- Work with Large Language Models (LLMs) such as Llama, Mistral, GPT, Gemini ensuring efficient adaptation for various use cases.
- Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Langchain, LangGraph, Google ADK.
- Act as an Agentic AI expert, providing guidance and mentorship to other data scientists and team members.
- Stay updated on Generative AI advancements and propose new applications to solve business problems.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- trong Data Analytics Skills - Proficiency in SQL Python for data wrangling, analytics, and automation
- Build predictive models, statistical models, deep learning models, and other machine learning systems.
We are looking for an AI Engineer / Data Scientist with hands-on experience in Generative AI, LLMs (Llama, Mistral, GPT, Gemini), and agentic AI systems. You will build full AI/ML pipelines from concept to production, including data engineering, model training, RAG systems, fine-tuning (LoRA/QLoRA), and workflow orchestration using frameworks like LangChain and LangGraph.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationanalytical thinkingai engineerdata scientistData WranglingAnalyticsFlask FrameworkData AnalyticsdeploymentData EngineeringDeep Learningdata analysisAi SolutionsData PipelineAPI DevelopmentFastAPIData ScienceArtificial Intelligence