Lead Solution Architect -Azure (7-10 years)

Discipline: Technology
Job type: Permanent
Contact name: Gurpreet Kaur

Contact email: gurpreet.kaur@crescendogroup.in
Job ref: 36841
Published: 4 days ago
Startdate: 12/05/2022

Lead Solution Architect -Azure & Data Science (7-10 years)

 

An exciting opportunity for a professional having 7+ years of experience in data science, AI, and big data. The candidate should have Hands-on working experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics. A perfect role fit for the one who is proficient in manual model building using R or Python and procedures for data mining leveraging large datasets.

 

Location: Mumbai/Pune

 

Your future employer: One of the Fortune 500 firms headquartered in New York city with businesses in insurance brokerage, risk management, reinsurance services, etc.

 

Responsibilities:

  • Understanding CIS Analytics data strategy, business priorities, and success measures to provide context for designing and building analytical models.

  • Translating business requirements in to Data Science solutions leveraging strong business acumen

  • Demonstrating expertise in three core pillars of data science tool kit - Data Modeling & Transformation, Data Storytelling and Data Visualization

    • Machine Learning: build, calibrate, and test machine learning models

    • Transformation: feature creation, data cleansing, re-expression

    • Visualization: exploratory data analysis, intuitive presentation of findings

    • Data Science storytelling in Power BI, PowerPoint and other platforms

  • Deploying standard data mining protocol to be sure all subsequent analytics, modeling, A.I., and machine learning algorithms operate on unbiased and relevant data

  • Adequately deploying a strategy for models and analytics and operationalize them to applications and data lake/warehouse

  • Collaborating with Azure Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.

  • Fostering collaboration between DevOps and data science teams within organization to build ML Ops practices

Requirements:

  • Hands-on experience in data science, AI, and big data. Experience with data engineering is a plus

  • Experience with Cloud Service Machine Learning platforms (Google, Azure, Aws); preferably Azure and set up data and experimental platforms

  • Proficient in manual model building using R or Python and procedures for data mining leveraging large datasets

  • Demonstrate ability to design and build Machine Learning pipelines that curate datasets, train, test, and validate models, compare model performance to existing or previously catalogued models, and then package and deploy the models into operations.

  • Deep understanding of statistical and machine learning modeling with experience applying these modeling techniques to business problems including

    • Machine learning using k-NN, naive Bayes, decision trees, SVM experience required

    • Solid pattern recognition and predictive modelling skills

    • Knowledge of recommendation engines, scoring systems, A/B testing

  • Hands-on working experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics

  • Working knowledge and experience with one or more cloud available Machine Learning frameworks and tools such as Tensor Flow, PyTorch, ONNX, Weka, NumPy, PyMongo etc

  • Extensive knowledge and experience with Model Management, ideally using Azure ML service and/or ML Flow as well as deployment of models using Azure Kubernetes Service

 

What is in it for you:

  • A high paced, collaborative, trusting, thought provoking work environment.

  • A fast-growing industry with rapid career growth

 

Reach us:

If you are interested for this role you can reach me at gurpreet.kaur@crescendogroup.in