ML Engineer

Role Overview: 7+ years of expertise in developing and deploying machine learning models and AI solutions. Experienced in optimizing algorithms and integrating AI models into production systems. Skilled in applying advanced data science techniques to solve real-world problems, drive business impact, and improve decision-making. Adept at analyzing complex datasets, developing APIs, and leveraging AI to enhance operational efficiency and deliver actionable insights. Technical Skills: Programming Languages: Python, OOPs, SQL Machine Learning Skills: Machine Learning, Deep Learning, NLP, Computer Vision, Data Preprocessing, Predictive Modelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Transfer Learning, Computer Vision, Image Processing, Image Classification, Object Detection, YOLO v8, SAM, Stable Diffusion (2.1, 2.x, tiny-SD) Frameworks: Python (scikit-learn, pandas, NumPy), Keras, TensorFlow, Pyspark, Streamlit Data Visualization Tools: Matplotlib, Seaborn, Advanced Excel Cloud: S3, Lambda, API Gateway, EC2, Athena, Glue, OpenSearch, Bedrock, SageMaker, Azure Functions, Azure SQL, Azure ML Studio, GCP Vertex AI, GitHub Database: MySQL, Postgres, BigQuery Location: Preferred Sunnyvale / Bay Area; PST time zone coverage required.