Massachusetts Staffing
Data Scientist, AWS Professional Services
Massachusetts Staffing, Boston, Massachusetts, us, 02298
Job Opportunity at Amazon Web Services
Are you passionate about Machine Learning (ML) and Artificial Intelligence (AI)? Would you like to apply AI algorithms to solve real-world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is looking for a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities. This team is composed of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop scalable solutions and applications, and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities include: Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring Collaborating with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges Interacting with customers directly to understand business challenges, deliver briefing and deep dive sessions to customers, and guide them on adoption patterns and paths to production Creating and delivering best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders Providing customer and market feedback to product and engineering teams to help define product direction This is a customer-facing role with potential travel to customer sites as needed. About the Team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. We value work-life harmony, inclusive team culture, mentorship, and career growth. Basic Qualifications
- Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field - 3+ years of experience building machine learning models for business application including predictive modeling, natural language processing, and deep learning - 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production - 2+ years of experience with cloud services related to machine learning and coding with Python or R, using modern machine learning libraries and tools such as scikit-learn, TensorFlow, PyTorch Preferred Qualifications
- PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - AWS experience preferred, with proficiency in a range of AWS services and professional certifications - 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches - 5+ years of deep learning, computer vision, and algorithms implementation experience using PyTorch or TensorFlow - Experience in launching AI applications in production on AWS - Experience building ML pipelines with MLOps best practices Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Are you passionate about Machine Learning (ML) and Artificial Intelligence (AI)? Would you like to apply AI algorithms to solve real-world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is looking for a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities. This team is composed of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop scalable solutions and applications, and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities include: Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring Collaborating with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges Interacting with customers directly to understand business challenges, deliver briefing and deep dive sessions to customers, and guide them on adoption patterns and paths to production Creating and delivering best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders Providing customer and market feedback to product and engineering teams to help define product direction This is a customer-facing role with potential travel to customer sites as needed. About the Team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. We value work-life harmony, inclusive team culture, mentorship, and career growth. Basic Qualifications
- Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field - 3+ years of experience building machine learning models for business application including predictive modeling, natural language processing, and deep learning - 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production - 2+ years of experience with cloud services related to machine learning and coding with Python or R, using modern machine learning libraries and tools such as scikit-learn, TensorFlow, PyTorch Preferred Qualifications
- PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - AWS experience preferred, with proficiency in a range of AWS services and professional certifications - 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches - 5+ years of deep learning, computer vision, and algorithms implementation experience using PyTorch or TensorFlow - Experience in launching AI applications in production on AWS - Experience building ML pipelines with MLOps best practices Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.