Mumbai, Maharashtra, India
Information Technology
Full-Time
Awign Expert
Overview
Job Description
This is a remote position.
AI Engineer
Duration: 6 months
Location: Remote
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 3-5 Years
Jd
Generally, should have worked with a different, varied set of data in multiple projects, and problem-solving acumen
Requirements
AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks
This is a remote position.
AI Engineer
Duration: 6 months
Location: Remote
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 3-5 Years
Jd
- AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models
- LangChain: Proficient in using LangChain for building LLM-powered applications
- Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter
- Feature Engineering: Strong background in feature engineering and data intelligence extraction
- Data Handling: Comfortable with structured, semi-structured, and unstructured data
- Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks
Generally, should have worked with a different, varied set of data in multiple projects, and problem-solving acumen
Requirements
AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks
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