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Mohammed Numair Ahmed - Data Scientist

[email protected]

Location: Remote, Remote, USA

Relocation: Yes

Visa: Green Card

Senior Data Scientist and AI/ML Engineer with 10+ years of experience designing and deploying scalable machine learning and generative AI solutions. Experienced in building predictive models, NLP systems, and deep learning pipelines using Python, TensorFlow, PyTorch, and Scikit-learn. Strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and transformer architectures using tools such as LangChain, Hugging Face, and vector databases. Extensive experience developing enterprise-grade ML pipelines using AWS services including SageMaker, Lambda, S3, and EMR, along with big data technologies such as Apache Spark and PySpark. Skilled in building scalable data pipelines, feature engineering frameworks, and automated MLOps workflows using Docker, Kubernetes, MLflow, and CI/CD pipelines. Hands-on experience in Natural Language Processing, computer vision, predictive analytics, and deep learning model optimization. Proven ability to build high-performance models using algorithms such as Random Forest, XGBoost, SVM, KNN, and deep neural networks. Experienced in deploying models into production environments using REST APIs, containerization, and cloud platforms. Strong background in big data and analytics with expertise in Snowflake, SQL, Hadoop, and cloud data architectures. Experienced in building data models (star schema, snowflake schema) and large-scale ETL pipelines using Python, PySpark, and Airflow. Worked with enterprise clients including healthcare and energy organizations to build AI-driven solutions for predictive analytics, clinical NLP, fraud detection, operational forecasting, and intelligent search systems. Technical Skills: Python, SQL, TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, RAG, AWS (SageMaker, Lambda, S3, EMR), Spark, PySpark, Snowflake, Docker, Kubernetes, MLflow, Airflow, Tableau, Power BI. Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence sthree