Senior Lead Consultant at Amazon

Short Description:

The Senior Lead Consultant in Machine Learning at Amazon Web Services (AWS) is a pivotal role focused on guiding global companies in leveraging AWS AI/ML services. With over 15 years of technical experience, the candidate will design and implement MLOps workflows, enhance ML model capabilities, and collaborate with internal and external stakeholders. The position, based in multiple Indian locations, involves translating business challenges into ML solutions, sharing best practices, and representing AWS effectively. The team prioritizes an inclusive culture, work-life balance, mentorship, and career growth, making it an ideal environment for professional development.

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Position: Senior Lead Consultant - ML 

Position ID: 249174

Job Summary: Amazon, known for its excellence in customer service, trustworthiness, and innovation, is seeking a highly skilled Senior Lead Consultant in Machine Learning (ML). Join our dynamic team at Amazon Web Services (AWS), where we work hard, have fun, and make history by leading the world in Cloud technologies. As a member of the AWS Professional Services team, you will play a pivotal role in the transformational technology landscape, assisting global companies in leveraging a diverse range of services to run their mission-critical applications.

Responsibilities:

• Comprehend customer business needs and provide guidance on leveraging AWS AI/ML Services and Frameworks.
• Design MLOps workflows for data preparation, deployment, monitoring, and retraining of machine learning models.
• Enhance ML model reproducibility, auditing, and performance capabilities.
• Collaborate with sales and service teams, partner organizations, and customer stakeholders.
• Translate business challenges into ML problems and devise solutions for desired customer business outcomes.
• Develop key performance indicators (KPIs) for evaluating machine learning models.
• Share best practices through various channels, including AWS blogs, whitepapers, and public-speaking events.
• Represent AWS effectively within customer environments, engaging with technical and business teams.
• Identify workarounds for specific migration issues and automate solutions for recurring problems.
• Innovate and develop solutions for complex business and technology challenges.
• Conduct technical sessions for internal teams, partners, and customers.

About the Team: Inclusive Team Culture: Embracing diversity, AWS fosters an inclusive culture with ten employee-led affinity groups globally. Innovative benefits, annual learning experiences, and conferences on race, ethnicity, and gender diversity contribute to Amazon's culture of inclusion.

Work/Life Balance: Our team values work-life balance, recognizing that it's about establishing a flow that brings energy to both personal and professional aspects. Flexible working hours are encouraged to achieve a harmonious balance.

Mentorship & Career Growth: Dedicated to supporting new members, our team promotes knowledge sharing and mentorship. Career growth is a priority, with projects assigned to develop well-rounded professionals capable of handling complex tasks.

Locations: We are open to hiring candidates for the following locations:

• Bangalore, KA, IND
• Gurugram, HR, IND
• Hyderabad, TS, IND
• Maharashtra, MH, IND

Basic Qualifications:

• Over 15 years of overall experience in a technical position, with at least 5 years on any Cloud Platform (AWS, Azure, Google, etc.).
• 6+ years of experience in technical architecture, design, deployment, and operations for AI platforms, standards, protocols, and devices.
• 6+ years of experience in predictive modeling, analysis, and predictive software development.
• 5+ years of professional experience in software development using ML-related languages such as Python, TypeScript, and/or R.
• Proficiency in machine learning libraries like scikit-learn, Apache MxNet, PyTorch, and TensorFlow.
• Experience in mentoring team members and providing guidance on machine learning and data modeling applications.
• Bachelor’s degree or equivalent experience.

Preferred Qualifications:

• MS/PhD in Computer Science, Machine Learning, Operational Research, Statistics, or a quantitative field.
• Experienced data scientist with a background in software engineering and development (Python, R, TypeScript, React, C/C++, or similar).
• Experience working with distributed systems and grid computing.
• Ability to develop experimental and analytic plans for data modeling processes.
• Experience in AWS Platforms and Services.
• AWS Associate, Specialty, or Professional Certification.
• Experience with Agile execution.
• Track record of presenting at public events, contributing to open source projects, or writing technical articles.
  

Please click here to apply.