Architect - Python-ML

1 day ago

Gurgaon, Haryana, India Intersoft Data Labs Full time

Python / ML Technical Architect (Python / LLM/ ML)

  • Hands-on experience in backend development with FastAPI, Flask, and Django, including development of custom Python SDKs and tools for business process automation.
  • Strong knowledge of Python and experience with libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch.
  • Strong Python programming skills with experience in backend development using FastAPI, Flask, and Django .
  • Built and maintained RESTful APIs and custom Python SDKs for automation and platform integration.
  • Familiarity with RESTful API development using Flask or FastAPI.
  • Experience working with structured and unstructured data.
  • Knowledge of PostgreSQL, MySQL, and SQL query optimization.
  • Contributions to AI research or open-source AI projects.
  • Hands-on experience with Generative AI & LLMs.
  • Solid understanding of machine learning algorithms, data structures, and OOP principles.
  • Proven expertise in machine learning, deep learning, and AI-based recommendation systems using frameworks like TensorFlow, PyTorch, and Keras.
  • Extensive experience in creating Al ML based solutions, REST based back-end development skills.
  • Skilled in NLP and text analytics, leveraging both traditional libraries and recent advances in LLMs.
  • Designed and implemented an LLM-based application for automatically generating marketing advertisement content tailored to specific customer segments and brand voice.
  • Expertise in ML/DL techniques: classification, regression, segmentation, object detection, predictive maintenance, and ranking models.
  • Experience in GenAI based solution to prepare automated marketing purpose ads for given titles.
  • Designed and deployed multiple automation solutions for reporting, data pipelines, and post-processing using Python-specific tooling.
  • Experience in creating LLM-based marketing advertisement content creator application.
  • Passionate about creating scalable ML architectures, high-impact recommender systems, and data-driven products that directly support business growth.
  • Experience in recommendation systems, Siamese networks, and deep learning architectures.
  • Hands-on with time series forecasting and demand prediction models.
  • Skilled in exploratory data analysis and building dashboards and reports using various tools (e.g., Plotly, Matplotlib, Dash, etc.)
  • Comfortable with version control (Git), CI/CD pipelines, and automated testing workflows.
  • Business problem framing, solution prototyping, proposal creation, and stakeholder engagement
  • Collaborated closely with marketing teams to ensure the generated content aligned with business goals and resonated with target audiences.

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