Roles & Responsibilities:
- Leadership: Create and manage AI/ML product pipelines and put them into production.
Together with data scientists/engineers, design and develop production-ready AI/ML architectures using scalable, performant, reliable, and secure code.
- Attention to detail including precise and effective communications and proven ability to manage multiple, competing priorities simultaneously.
- Analytical Knack: Identify use cases and cast identified problems into well-defined components and requirements, and deliver end-to-end development of AI solutions.
- Together with the data science team, functional team, and leadership team , determine the feasibility of AI solutions to address customer and business needs.
- Optimise models to balance trade-offs between accuracy and computational resource performance.
- Implement integrated monitoring of model performance for reliability and maintenance
Desired Candidate Profile
- Experience managing a team of Data Analysts/Scientists to deliver results and measure their success
- An established career in Analytics, OR a proven desire to build a career in Analytics - any academic course in data science, Kaggle record, certifications.
- A strong understanding of Computer Vision / Natural Language Processing, Machine learning, Deep learning, Image analysis, statistics.
- Experienced in programming in python with relevant open source software packages (e.g. tensorflow, keras, scipy, opencv, etc.)
- Conceptual understanding of Statistical modelling.
- Understanding of Machine Learning algorithms(Regression, SVM, Decision Trees, PCA, Clustering, etc..).
- Experience in mobile application - backend and mobile application - mobile application integrations.
- Experience in writing API's using flask, django.
- Experience in building dashboards for visualizing useful insights from the models exposed.
- Experience in server setup and applications deployment.
- Experience in best practices in machine learning model development, software development, version control, and continuous integration and deployment
- Have worked on cross disciplinary agile teams
- Excellent communication skills
Qualification:
Graduation /Postgraduate, Background in Mathematics or Computer Science is desirable
Experience: Minimum 5+ years(In Data science) maximum 10 years
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