While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Senior Machine Learning Engineer
Experience: 3+ years
Location: Mumbai/Bangalore/Trivandrum
Roles and Responsibilities:
- 3+ years of relevant hands-on technical experience implementing, and developing cloud infrastructure solutions on AWS.
- Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, realtime and batch Inference, Processing Jobs. Experience of working with Sagemaker studio, canvas and data wrangler.
- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
- Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, predictive analysis
- Experience in leveraging AWS Lambda/API Gateway services for AI/ML model consumption and inferences. Hands-on experience with Dev ops(CICD) & ML Ops services/tools.
- Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
- Prior experience leading development teams
- Experience in building chatbot projects
- Natural Language Processing
Good to have skills:
- Experience of working for customers/workloads in the manufacturing domain
- Experience with software development
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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