No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town.
As AI/ML lead, you work closely with development teams to ensure accurate integration of artificial intelligence/machine learning models into firm platforms. You will contribute to application testing and provide customer focus to produce high quality products globally.
As AI/ML lead, you work closely with development teams to ensure accurate integration of artificial intelligence/machine learning models into firm platforms. You will contribute to application testing and provide customer focus to produce high quality products globally
Develop and maintain high quality Python code under Linux for general purpose PCs. Test and debug software on multiple technologies.
Plan and execute complex and challenging technical projects
Possess strong interpersonal skills and consistently demonstrate ability to work in a team environment and with cross-functional global teams
Maintain state-of-the-art technical expertise in artificial intelligence, machine learning and software programming. Generate intellectual property
Expert-level knowledge in learning algorithms such as inverse reinforcement learning, deep reinforcement learning and probabilistic inference for decision support systems
Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming
Mathematically minded with experience in manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques
Develop requirements and evaluation methods for artificial intelligence technologies and benchmark vendor technologies
Experience in algorithm development, prototype system development and prototype software implementation on hardware platforms
Aid in the design, build and implementation of AI solutions for our proof of concepts and experiments, including working closely with external vendors to implement AI solutions
Provide expert peer review for new AI concepts, partners and vendors
Help shape and drive our AI strategic thinking and thought leadership
Build and develop our internal and external networks with AI experts, including AI vendors and academia
Use statistics, NLP and machine learning techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes - Design, experiment and evaluate highly innovative models for predictive learning - Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations - Work closely with operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Track general business activity and provide clear, compelling management reporting on a regular basis - Research and implement novel machine learning and statistical approaches Basic Qualifications: - A MS in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field - 3 years of hands-on experience in predictive modeling and large data analysis - 3 years of experience using R/SAS and SQL in a Linux/UNIX environment - 3 years of experience with Python - Strong communication and data presentation skills - Strong problem solving ability Preferred Qualifications: - A PhD in CS Machine Learning/NLP, Statistics, Operational Research or in a highly quantitative field - 5 years of industry experience in predictive modeling and large data analysis - Strong skills with Python and Java/C++ - 1 year distributed programming experience Machine Learning Scientist Major responsibilities: - Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, develop and evaluate highly innovative models for predictive learning - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Research and implement novel machine learning and statistical approaches Basic Qualifications - An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred. - Industrial experience in predictive modeling and analysis, predictive software development - Strong Problem solving ability - Good skills with Java or C++, Perl/Python (or similar scripting language) - Experience in using R, Matlab, or any other statistical software - Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications - Strong communication and data presentation skills Preferred Qualifications : - 2-10 years of industrial experience in predictive modeling and analysis, predictive software development - Experience handling gigabyte and terabyte size datasets - Experience working with retail or e-commerce data - Experience working with distributed systems and grid computing - Publications or presentation in recognized Machine Learning and Data Mining.
Strong understanding of foundational concepts of Machine Learning, and Probability Theory (Markov Chains, Stochastic Modelling, Stochastic Grammar)
Strong understanding of foundational Deep Learning concepts, especially:
Convolutional Neural Networks, Optimizers, and Learning Rates.
Should be able to quickly curate datasets reducing statistical biases as much as possible.
Should have a good working experience with Pytorch, And a good understanding of Tensorflow.
Should understand the workflow of Tensorflow Serving, and be able to deploy ML models at scale.
Should be able to optimize deployment of Deep Learning models over multiple GPUs.
1-2 years of experience developing Deep Learning solutions, and a love for Mathematics.
12-20 Years of total experience in which 8+ years of experience in Solution Architecture.
Strong exp in Presales with RFP/RFI/RFQ.
Strong experience in Consulting/Advisory background.
Candidate must have 2 years of experience in Artificial Intelligence / Machine Learning / Chat Bots / Automation.
Critical client-facing role that interprets and translates client requirements into a technology solution that can be configured from a standard set of offerings.
Drives the sign off on the technology solution and acts as an interface with the delivery organization to ensure effective transition, shape services and determine appropriate service delivery locations and related costs.
Acts as a key member of the sales team to represent the technology solution offering to the client/internal groups.