Sr./Lead AWS Machine Learning Engineer - Onsite Interview

Job Role: ML Engineer Location: Plano, TX (Hybrid Onsite) - Need Locals Mode of Interview: 1 virtual and 2nd Onsite Interview Pay Rate: $70-$80/hr. on 1099 Responsibilities: • Write clean, maintainable code while complying with coding standards • Execute full modeling life cycle including data cleansing, feature creation and iterative model selection • Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation • Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation • Drive adoption of best practices across organizations • Deliver production-ready code • Work with Product Owners to define the KPIs for machine learning projects • Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods • Prepare and present findings to both technical and non-technical audiences • Work within the constraints of time, budget, and resources capacities to align with Toyota’s global vision • Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs Required Qualifications: • Experience in Machine Learning in a corporate environment • Spark and EMR for large ETL jobs • Working with ETL tasks using optimized Databricks queries • Designing, implementing, monitoring, and updating ML pipelines using SageMaker or MAF • SageMaker for data cleaning, model selection, model training, and optimization • Other AWS Services - S3, DynamoDB, Lambda, Kinesis, API GW, • MLFlow for model metric and artifact generation and monitoring • Combining data from multiple datasets • Developing CI/CD pipelines, unit and functional testing • Establishing model monitoring and model update pipelines • Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment • Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies • Proven ability to learn and apply new technologies, programming practices, patterns, and methods • Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners • Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability for quality and deadlines. • Results-driven with a strong track record of setting goals, executing strategies, and delivering measurable outcomes