Bangalore, Chennai, Hyderabad, Kolkata, Mumbai, Pune
Posted 1 year ago
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