AIML Python with AI Architect
Key Responsibilities, Skills & Experience
8+ years of experience in AI/ML development with strong proficiency in Python
Hands-on experience with ML libraries and AI tools such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
Design, develop, train, and optimize machine learning models for real-world use cases
Build end-to-end ML pipelines including data preparation, feature engineering, model training, and evaluation
Experience deploying models via APIs, notebooks, or batch jobs
Understanding of supervised, unsupervised, and deep learning techniques
Ability to work with structured and unstructured data
Strong problem-solving and communication skills
Preferred / Nice-to-Have
Exposure to GenAI / LLMs, NLP, or Computer Vision
Experience with cloud-based ML platforms or MLOps tools
Familiarity with data governance and model monitoring
Key Responsibilities, Skills & Experience
8+ years of experience in AI/ML development with strong proficiency in Python
Hands-on experience with ML libraries and AI tools such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
Design, develop, train, and optimize machine learning models for real-world use cases
Build end-to-end ML pipelines including data preparation, feature engineering, model training, and evaluation
Experience deploying models via APIs, notebooks, or batch jobs
Understanding of supervised, unsupervised, and deep learning techniques
Ability to work with structured and unstructured data
Strong problem-solving and communication skills
Preferred / Nice-to-Have
Exposure to GenAI / LLMs, NLP, or Computer Vision
Experience with cloud-based ML platforms or MLOps tools
Familiarity with data governance and model monitoring