Archives: Arrk India

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.