Data Scientist - AWS Professional Services
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from small- and mid-market accounts to enterprise-level customers, including the public sector.
Are you excited about using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Do you want to help the largest global enterprises derive business value through AI adoption? Eager to learn from diverse enterprise use cases of AWS ML and DL? Join Amazon, a pioneer in AI technology, and be part of our innovative team.
At AWS ProServe India LLP, we help large enterprises build ML and DL models on the AWS Cloud, applying predictive technology to large data volumes across various problems. Our Professional Services team collaborates with internal customers to address their AI needs.
We value customer obsession and focus on AI enablement. If you have AI experience, including building ML or DL models, we invite you to join us. Work with a talented team and help our customers succeed.
If you are not in a location with an open Data Scientist position, feel free to apply. Our Data Scientists can work from any AWS ProServe office location.
Key job responsibilities
- Understand customer business needs and guide solutions using AWS AI Services, Platforms, Frameworks, and EC2 Instances.
- Deliver ML/DL projects end-to-end: understand needs, data aggregation, exploration, model building & validation, deployment, and impact delivery.
- Utilize frameworks like MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras for DL models.
- Use SparkML and Amazon Machine Learning for ML models.
- Collaborate with Big Data and DevOps teams to analyze, normalize, label data, and operationalize models.
- Identify model drift and retrain models as needed.
- Research and implement novel ML/DL approaches, including FPGA usage.
This role is open in Mumbai, Pune, Bangalore, Chennai, Hyderabad, Delhi, and Pune.
About the team
We value diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. We welcome candidates with non-traditional backgrounds or alternative experiences.
Why AWS?
Amazon Web Services is the world’s most comprehensive cloud platform, trusted by startups and Fortune 500 companies alike for our innovative products and services.
Inclusive Team Culture
We foster a culture of inclusion through employee-led affinity groups, events, and learning experiences that celebrate diversity.
Mentorship & Career Growth
We provide continuous learning, mentorship, and career development resources to help you grow professionally.
Work/Life Balance
We prioritize flexibility and work-life harmony, supporting our employees at work and at home.
Qualifications
- 7+ years of professional or military experience, including a Bachelor's degree.
- 7+ years managing large-scale projects with internal or external customers.
- Experience delivering end-to-end ML/DL projects, understanding business needs, data handling, model building, validation, and deployment.
- Skilled in DL frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, AML).
- 7+ years in IT platform implementation, consulting, and distributed solutions design.
- Experience with databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis), cloud solutions (AWS or equivalent), systems, networks, and operating systems.
If you need accommodations during the application process, please visitthis link.
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