AI Research Scientist with 6+ Years of ML Experience
Resume:
AI Research Scientist
Texas, USA
Email – ***********@**********.*** Phone - 998-***-****
Professional Summary
AI Research Scientist with 6+ years of experience in machine learning, deep learning, and generative AI, specializing in translating research into production-ready solutions. Proven track record of designing scalable ML models, collaborating with cross-functional teams, and driving business impact through applied AI research. Strong expertise in Python, PyTorch, TensorFlow, and largescale data analysis.
Core Skills
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Machine Learning & Deep Learning
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Natural Language Processing (NLP)
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Computer Vision
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Generative AI & LLMs
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Algorithm Design & Model Optimization
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Python
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TensorFlow, PyTorch, JAX
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Data Analysis & Experimentation
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Model Evaluation & Performance Tuning
Professional Experience
Senior AI / Machine Learning Scientist
Technology / Manufacturing Solutions Company USA
2021 – Present
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Conducted applied research in machine learning, NLP, computer vision, and generative AI to solve complex business problems.
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Designed and implemented novel deep learning architectures, improving model accuracy and efficiency by up to 25%.
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Translated research prototypes into production-ready AI solutions, supporting manufacturing optimization and automation workflows.
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Collaborated closely with engineering, product management, and business stakeholders to align AI initiatives with organizational goals.
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Analyzed large-scale structured and unstructured datasets to derive insights and enhance predictive performance.
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Authored internal research reports, technical documentation, and whitepapers for knowledge sharing.
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Mentored junior engineers and researchers, fostering a culture of innovation and technical excellence.
Machine Learning Engineer / Research Associate
AI & Data Science Firm USA
2018 – 2021
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Built and optimized machine learning models using Python, TensorFlow, and PyTorch.
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Implemented NLP pipelines for text classification, entity extraction, and semantic analysis.
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Developed computer vision models for image recognition and quality inspection use cases.
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Conducted experiments, A/B testing, and model benchmarking to validate research outcomes.
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Partnered with data engineers to ensure scalable model training and deployment.
Education
Master of Science (M.S.) in Artificial Intelligence / Computer Science / Data Science Accredited University USA
Research & Publications
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Contributed to internal whitepapers and technical research documents on applied ML and generative AI.
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Experience preparing research outputs suitable for peer-reviewed or internal publication.
Certifications (Optional but Strong Fit)
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Machine Learning Specialization (Coursera / DeepLearning.AI)
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TensorFlow Developer Certificate
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PyTorch Fundamentals Certification
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Cloud ML Certification (AWS / Azure – optional)
Additional Information
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Employment Type: Open to Permanent / Direct Hire
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Work Location: Texas, USA • Experience: 6+ years
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Eligible to work in the U.S.
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