Amazon
Are you passionate about leveraging data to drive innovation and help organizations achieve their AI goals? Join our AWS Professional Services team, where you can engage with diverse technical experts and work on exciting Machine Learning (ML) and Deep Learning (DL) projects. As a Senior Data Scientist, you will make a significant impact by assisting enterprise-level customers in harnessing the power of AWS AI Services and building predictive models.
In this role, you will:
Understand the business needs of our internal customers and guide them to effective solutions using AWS AI Services and Platforms.
Deliver ML/DL projects from inception to deployment, ensuring clear communication and understanding of objectives.
Utilize industry-leading Deep Learning frameworks such as TensorFlow, Keras, and MXNet to develop robust models.
Employ ML tools, including SparkML and Amazon Machine Learning, to create and refine models.
Collaborate with Big Data consultants to extract, normalize, and analyze relevant data for model development.
Work with DevOps teams to operationalize models, ensuring their effective integration into business processes.
Monitor model performance and implement retraining strategies to maintain accuracy and relevance.
Explore novel ML/DL methodologies and technologies to drive ongoing innovation.
This exciting opportunity is open in various cities, including Mumbai, Pune, Bangalore, Chennai, Hyderabad, and Delhi. If you possess a keen interest in AI, enjoy diving deep into data analysis, and love learning new technologies, we encourage you to apply regardless of your location.
At AWS, we value curiosity, inclusion, and continuous career growth, ensuring a work-life balance that helps you thrive both professionally and personally.
Basic Qualifications:
7+ years of professional experience, including managing large-scale projects.
Experience in delivering end-to-end ML/DL projects.
Proficiency in Deep Learning frameworks and ML tools.
Preferred Qualifications:
Extensive experience in technical and analytical roles focused on IT platform implementation.
Familiarity with databases and cloud-based solutions.
Demonstrated expertise in designing and implementing serverless distributed systems.
We are an equal opportunity employer, committed to fostering an inclusive culture where all individuals are valued and encouraged to bring their unique perspectives to the table.