AI Data Analyst

3 days ago

Navi Mumbai, Maharashtra, India arrk group Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Job Description

Position Title

AI Data Analyst

Description Overview

We are looking for an experienced AI Data Analyst with a strong foundation in data analysis, machine learning, and AI model implementation. The ideal candidate will have 4 to 7 years of experience, including hands-on AI experience and proficiency in Python programming. The role will involve working with Large Language Models (LLMs), AI-powered APIs, and vector-based search systems to analyze and derive business insights from data.

Experience

4-7 Years

Job Location

Mahape, Navi Mumbai (Work from Office)

Job Mode

Hybrid Mode

Experience must include:
  • 1 year of hands-on experience as a Data Analyst.
  • 1 year of hands-on experience working with AI systems, including LLMs, AI APIs, or vector-based search.
  • 2 years working with Machine Learning models and solutions.
  • 3 years of Python programming experience.
  • Exposure to LLMs, AI APIs, and vector databases (e.g., pgvector, ChromaDB) is preferred.
Key Responsibilities
  • Perform data exploration, profiling, and cleaning across large datasets.
  • Design, implement, and evaluate machine learning and AI models for business problems.
  • Leverage LLM APIs, foundation models, and vector databases to power AI-driven analysis.
  • Build end-to-end ML workflows from data preprocessing to deployment.
  • Develop visualizations and dashboards for internal reports and presentations.
  • Analyze and interpret model outputs, providing actionable insights to stakeholders.
  • Collaborate with engineering and product teams to scale AI solutions across business processes.
Required Skills Data Analysis
  • 1 year of hands-on experience working with real-world datasets.
  • Strong Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly.
Machine Learning & AI
  • 2 years of experience applying machine learning techniques (classification, regression, clustering, etc.).
  • 1 year of hands-on experience with AI technologies, including Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems.
  • Familiarity with model evaluation, hyperparameter tuning, and model selection.
  • Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures.
Programming
  • 3 years of Python programming experience, with proficiency in libraries like scikit-learn, NumPy, Pandas, etc.
  • Strong understanding of data structures and algorithms relevant to AI and ML.
Tools & Technologies
  • SQL/PostgreSQL proficiency.
  • Experience with vector databases (e.g., pgvector, ChromaDB).
  • Exposure to LLMs, foundation models, RAG systems, and embedding techniques.
  • Familiarity with AWS, SageMaker, or similar cloud platforms.
  • Version control systems knowledge (e.g., Git), REST APIs, and Linux.
Good to Have
  • Experience with Scrapy, SpaCy, or OpenCV.
  • Knowledge of MLOps, model deployment, and CI/CD pipelines.
  • Familiarity with deep learning frameworks like PyTorch or TensorFlow.
Soft Skills
  • Strong problem-solving mindset and analytical thinking.
  • Excellent communication skills, capable of presenting technical information clearly to non-technical stakeholders.
  • Collaborative, proactive, and self-driven in a fast-paced, dynamic environment.
Contacts

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