Looking for an experienced and motivated to create innovative solutions leveraging GCP Cloud for Retail Services. A successful candidate will bring thought leadership depth of experience with GCP services strategy and hands on experience with GCP centric architectures Migration applications to GCP and a willingness to be both a leader and contributor to the overall GCP eco system.
Job Description
· 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
