AI / ML Engineer

3 - 5 years

0 Lacs

Posted:18 hours ago| Platform: Foundit logo

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Work Mode

Remote

Job Type

Full Time

Job Description

This is a remote position.

Job Title: AI/ML Engineer (LangChain & AVM Specialist) Experience: 35 Years Location: Remote Notice Period: Immediate Joiners Only Role Summary We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning models, with a focus on Automated Valuation Models (AVMs) and applications utilizing LangChain. The ideal candidate will have experience in real-world deployment of ML models, proficiency in Python-based frameworks, and a strong background in feature engineering and data handling. Key Responsibilities
  • Model Development: Design and implement Automated Valuation Models (AVMs) for real estate or financial applications, leveraging statistical modeling techniques and large datasets to estimate property values.
  • LangChain Applications: Develop and maintain applications powered by Large Language Models (LLMs) using LangChain, facilitating integration of LLMs into various applications.
  • Data Science Toolkit: Utilize tools such as Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter for data analysis, model training, and evaluation.
  • Feature Engineering: Perform feature engineering to extract meaningful insights from structured, semi-structured, and unstructured data sources.
  • Data Handling: Manage and preprocess diverse datasets, ensuring data quality and consistency across various projects.
  • Production Integration: Integrate machine learning models into production environments using Python-based frameworks, ensuring scalability and reliability.

Qualifications Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience: 35 years of experience in machine learning engineering or a related field. Technical Skills:
  • Proficient in Python and frameworks such as FastAPI.
  • Experience with machine learning libraries: Scikit-learn, XGBoost, LightGBM.
  • Familiarity with LangChain for developing LLM-powered applications.
  • Strong understanding of feature engineering and data preprocessing techniques.
  • Experience in deploying models into production environments.
Additional Skills:
  • Strong problem-solving acumen.
  • Experience working with diverse datasets across multiple projects.

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