Description

Design, build, and manage machine learning models to solve complex business challenges.

Responsibilities

• Design and implement machine learning models, including performance evaluation and parameter fine-tuning.
• Build, deploy, and manage models using supervised, unsupervised, deep learning, and reinforcement learning techniques.
• Analyze large datasets using preprocessing, feature engineering, and dimensionality reduction.
• Develop custom models for structured and unstructured data, including text and time series.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

• 4+ years of experience in machine learning and AI architecture.
• Proficiency in Python and libraries such as Scikit-learn, TensorFlow, and PyTorch.
• Hands-on experience with cloud ML platforms like AWS SageMaker or Azure ML.
• Working knowledge of GenAI environments including Azure OpenAI, AWS Bedrock, and Large Language Models (LLM).
• Experience with conversational bot technologies and adoption.
• Familiarity with cloud computing and distributed computing frameworks (AWS, GCP, Azure).
• Strong foundation in statistical concepts and methodologies for model validation.
• Ability to work with both structured and unstructured data types.

Preferred Skills

• Experience with LangGraph, CrewAI, and LangChain.
• Experience implementing graph algorithms for business problem statements.

Key Skills

Education

Any Graduate