AI / ML Engineer

1 week ago

Bengaluru India Evnek 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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