Senior AIML Manager

Job Brief –

We are looking for Senior AIML Manager to Cloud data integration with Security inventory / InfoSec dashboards and provide enhancement recommendations for continuous improvements in Security Operations / InfoSec dashboards. Architect, deploy, manage, and monitor the entire spectrum networking across the group. Monitoring of security patch management and vulnerabilities.

Suggestions regarding industry best practices, Vulnerability assessment tools and penetration testing techniques with thorough understanding of emerging threats, vulnerabilities, and exploits.

Roles and Responsibilities –

"A professional role model with deep and wide expertise in state-of-the-art AI/ML techniques, a passion for solving challenging data science problems and extensive hands-on experience.
Have deep technical expertise in feature-engineering of massive datasets, effective exploratory data analysis, and model building using AI/ML techniques.
Have deep expertise in creation and management of datasets.
Have excellent business and communication skills to be able to work with stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area.
Have the ability to manage and execute an entire AI project from start to finish, including problem solving, data gathering and manipulation, predictive modelling, and project management skills.
Predicts emerging customer needs and develops innovative solutions to meet them
Applies knowledge of statistics, machine learning, deep learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

Requirements –

"Experience in building AI/ML models and in using Python (Scikit-learn, TensorFlow/ PyTorch) and SQL (or equivalent).
Experience with Hadoop, Spark is an advantage
Deep Knowledge of classical AI algorithms and Deep Learning techniques is a must.
Excellent understanding of machine learning techniques and algorithms, such AS K-NN, naive bayes, SVM, decision forests, etc.
Experience with common data science toolkits, such as R, Weka, NUMPY, MATLAB, etc excellence in at least one of these is highly desirable
Experience with data visualization tools, such as d3.JS, GGPLOT, ETC.
Proficiency in using query languages such as SQL, HIVE, PIG
Working Knowledge of TensorFlow, PyTorch or similar other machine learning frameworks.
Experience working on public cloud environments (AWS, Azure, GCP)"
Minimum – 9-10 Years of Experience.

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Senior AIML Manager

Job Brief –

Roles and Responsibilities –

Requirements –

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