Job Duties:
• Deploy and configure solutions in the cloud.
• Automate cloud operations, develop infrastructure automation scripts and participates in the continuous improvement of cloud solutions.
• Participate in the specification, setup and run Proof of Concepts and demonstrations of cloud solutions.
• Administer and maintain servers across virtual platforms.
Job Requirements:
• Overall, more than 12 years of experience in Data Science and AI / ML domain
• Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience in Cloud native skills.
• Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra)
• Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.
• Great communication and presentation skills. Should have experience in working in a fast-paced team culture.
• Experience with AIML and Big Data technologies like –Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases is good to have
• Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.
• Should be a data-oriented person with analytical mind and business acumen
• Hands-on experience with architecting solutions on GCP.
• Design and innovate technical solutions & services for clients requirements.
• Own the architectural and technical directions and delivery quality.
• Create POCs and assist team in fast tracking development.
• Provide solution architecture and involve in technical analysis of requirements, review new/current design, develop architectural frameworks,
• Knowledgeable on agile practices.
• Analyze and evaluate existing architecture and prescribe new technology upgrades and architectural solution on cloud/on-premise platforms.
• Participate in technical analysis and architectural workshops with client architects, program management, business/ technical analysts to translate new opportunities into full lifecycle product components and strategize their project implementations.
• Should be able to Independently design, review and implement complex business/technical features explore patterns