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Senior Data Analyst

Senior Data Analyst

Appfabs IncorporationPune, IN
1 day ago
Job description

We are looking for a versatile and highly skilled Data Analyst / AI Engineer (Immediate Joiner) to join our innovative team. This unique role combines the strengths of a data scientist with the capabilities of an AI engineer, allowing you to dive deep into data, extract meaningful insights, and then build and deploy cutting-edge Machine Learning, Deep Learning, and Generative AI models. You will play a crucial role in transforming raw data into strategic assets and intelligent applications.

Key Responsibilities :

  • Data Analysis & Insight Generation :
  • Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets.
  • Clean, transform, and prepare data from various sources for analysis and model development.
  • Apply statistical methods and hypothesis testing to validate findings and support data-driven decision-making.
  • Create compelling and interactive BI dashboards (e.g., Power BI, Tableau) to visualize data insights and communicate findings to stakeholders.
  • Machine Learning & Deep Learning Model Development :
  • Design, build, train, and evaluate Machine Learning models (e.g., regression, classification, clustering) to solve specific business problems.
  • Develop and optimize Deep Learning models, including CNNs for computer vision tasks and Transformers for Natural Language Processing (NLP).
  • Implement feature engineering techniques to enhance model performance.
  • Generative AI Implementation :
  • Explore and experiment with Large Language Models (LLMs) and other Generative AI techniques.
  • Implement and fine-tune LLMs for specific use cases (e.g., text generation, summarization, Q&A).
  • Develop and integrate Retrieval Augmented Generation (RAG) systems using vector databases and embedding models.
  • Apply Prompt Engineering best practices to optimize LLM interactions.
  • Contribute to the development of Agentic AI systems that leverage multiple tools and models.

Required Skills & Experience :

  • Data Science & Analytics :
  • Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
  • Proven experience with Exploratory Data Analysis (EDA) and statistical analysis.
  • Hands-on experience developing BI Dashboards using tools like Power BI or Tableau.
  • Understanding of data warehousing and data lake concepts.
  • Machine Learning :
  • Solid understanding of various ML algorithms (e.g., Regression, Classification, Clustering, Tree-based models).
  • Experience with model evaluation, validation, and hyperparameter tuning.
  • Deep Learning :
  • Proficiency with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch .
  • Experience with CNNs (Convolutional Neural Networks) and computer vision concepts (e.g., OpenCV, object detection).
  • Familiarity with Transformer architectures for NLP tasks.
  • Generative AI :
  • Practical experience with Large Language Models (LLMs).
  • Understanding and application of RAG (Retrieval Augmented Generation) systems.
  • Experience with Fine-tuning LLMs and Prompt Engineering.
  • Familiarity with frameworks like LangChain or LlamaIndex.
  • Problem-Solving : Excellent analytical and problem-solving skills with a strong ability to approach complex data challenges.
  • Good to Have :

  • Experience with cloud-based AI / ML services (e.g., Azure ML, AWS SageMaker, Google Cloud AI Platform).
  • Familiarity with MLOps principles and tools (e.g., MLflow, DVC, CI / CD for models).
  • Experience with big data technologies (e.g., Apache Spark).
  • Educational Qualification :

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Those who are interested please share your resume to careers@appfabs.in

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