telecaller

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Someone who has prior experience in Product Analytics/Marketing Analytics/Growth Analytics/Consumer analytics domain.

Has the ability to define success metrics for different initiatives or campaigns, drive ROI analysis & provide recommendations.

Strong analytics acumen and problem solving skills.

Good understanding of Clickstream/App events data, ability to build and understand user journeys across platforms.

Understanding of LTV modelling

Strong SQL skills and comfortable with python programming.

Basic knowledge of different regression models & clustering techniques.

SQL DBA, IMPLEMENTATION, SQL, DBMS, DATA WAREHOUSING

1. Asp.Net Core 
2. Microservices
3. An added advantage to a candidate who has familiarity with PostgreSQL / MySQL

• Design, build and maintain software applications.
• Write well-designed, testable, efficient code by using best software development practices.

What you need to have:

We have an urgent requirement of an Automation Tester who has at least 2 years of experience in Automation Testing.
Immediate Joiner will be preffered or the maximum notice period -15 days.

Job Requirements:

1. Maintaining a suite of automated tests for Web and Mobile applications
2. Maintaining automation framework and implementing improvements
3. Conversion of the manual test suite to automation
4. Create and maintain test cases.
5. Maintain and update regression testing scripts to close test escapes.
6. Perform exploratory testing, integration testing, regression testing, automated testing.
7. Execution and triage of automated test executions.
8. Defect management in Jira.
9. Maintenance on Jenkins integration.
10. Exposure to Test and Defect Management Tools like JIRA, Test rail, Zephyr etc.

Skills required

• Writing reliable and maintainable automated tests.
• Demonstrable experience in Automation testing using Selenium or similar
• Experience with Serenity BDD test framework, (Cucumber, Selenium, Rest Assured)
• Programming skills with either Java / JavaScript / Python or similar
• Unit testing frameworks such as TestNG, JUnit and/or N Unit
• Testing API’s with SoapUI / Postman or similar
• Performance Testing with J meter, Neo Load or similar
• Familiarity with Swagger or Open API Specifications.
• Familiarity with JSON objects, SQL queries, data structures, log file analysis
• Strong knowledge of Scripting Languages like Java, JavaScript, Python, Ruby, Groovy etc.

CarWale Job Opportunity |Manager (BFSI-Digital Sales) |Enterprise Solutions (Vashi -Navi Mumbai)

Job Title : Manager( BFSI-Digital Sales )

Department - Enterprise Solutions

About CarWale    

CarWale is India’s largest and most preferred auto destination. We have been assisting buyers to make an informed buying decision through our website and mobile app. Over the last 14 years, our only aim has been to make car buying simple for our consumers. Today we serve over 20 million unique visitors every month, and at least one third of the country’s car buyers go through http://Carwale.com">Carwale.com at some point during their pre purchase research.   

Before you sign up with us, we would love to tell you more about the team you are going to be part of and believe, it will help you take the right decision.

About Enterprise Solutions:

Enterprise Solutions is the core solutions team within the company that interfaces with the largest advertising clients and devises customized marketing and technology solutions to suit their needs.

About the Role :

- To own the revenue delivery and long-term client relationship development for key advertisers on CarWale specifically for BFSI sector.

- Ability to develop appropriate media solutions based on the client's brief.

- Excellent communication and presentation skills

- Analytical and creative (business result-oriented kind of creative) bent of mind

- Proven ability to meet and exceed difficult sales targets

- Good knowledge of digital media and the media eco-system (agencies, clients, publishers)