Data Scientist - GradientM IT Consulting & Services Pvt Ltd
Data Scientist
More than 5 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 using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)
Experience in Cloud native skills.
Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset
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.
Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.
Great communication and presentation skills. Should have experience in working in a fast-paced team culture.
Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases
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
Service Virtualization
Strong DevTest Broadcom OpenText Service Virtualization implementation experience Minimum of 7 years designing developing deploying and supporting DevTest Broadcom OpenText Service Virtualization.
Hands on experience using DevTest Broadcom tool for Virtualization Process Virtual service development VSM VSI Custom Data Protocols and deployment Good handle on XML XPath and XSD
Minimum of 4 years developing API Automation
Minimum of 4 years of experience with Java programming technology Java Servlets JSP JAXB and Hibernate are big plus
Minimum of 3 years of experience with SOA Integration technologies to include one of the following Web Services XML MQ OR JMS
Minimum of 3 years of experience with Development concepts OOPs Concepts Software Life cycle Development of web applications and maintenance
Intermediate proficiency in cloud concepts and capabilities
Basic proficiency in error profiling tools Dynatrace etc
Knowledge of CICD enablement tools GitLab CI Jenkins Tekton Python scripting
Knowledge of AWS CodePipeline CodeBuild S3 CloudWatch QuickSight EC2 RedShift
Excellent communication and presentation skills
Responsibilities Primary Activities:
Supporting a Service Virtualization product capability e g CA LISA Service Virtualization DevTest Broadcom Wiremock HP Service Virtualization OpenText MicRock ParaSoft
Create virtualized service models using DevTest Broadcom services
Create automation scripts for testing of services using SOAP UI Ready API HP Service Test or equivalent toolset Develop and maintenance of Rest API automation framework
Develop Web interfaces using JAVA JSP and Servlets
In depth knowledge of AWS services cloud architecture and best practices
Develop PL SQL scripts DB Procedures triggers etc
Validate services using SOAPUI and DevTest Broadcom by testing XML request and response data
Validate services using Ready API and DevTest Broadcom by testing Json request and response data
Understanding of Synchronous and asynchronous transaction JMS TIBCO MQ series etc
Virtualizing protocols using DevTest Broadcom REST SOAP MQ JDBC and Java objects
Performance testing services using DevTest Broadcom SOAP UI LRE HP Service Virtualization OpenText
Development testing with ESB SOA technologies such as TIBCO Business Works
Interact with testers developers and architects on collecting requirements payloads data for service testing and service virtualization
Thorough understanding of SOA WOA principles
Provide technical expertise through a hands on approach to teams and projects
Handle design definition planning and development
100 adherence to architectural and development best practices including the use of standard architectures proper use of code management document design and design artifacts and conduct design code reviews
Enable self serve testing mocking and end 2 end automation to improve testing speed and coverage
Create optimization plans to innovate shift left and mitigate gaps
Apply cloud concepts and capabilities to deliver testing for cloud hosted apps
Report succinct testing goals and results to the leadership
Train and educate various teams on SV ideas and expectations
Expand responsibilities to drive test data test environment and service virtualization strategies