Automation Tester

Python Full Stack Trainer - Join Our Friendly Team!

We're looking for a Python Full Stack Trainer to join our fun and supportive educational family. You'll be teaching students how to become awesome Python full stack developers using our already designed curriculum. Even if you're not a perfect match for all requirements but love teaching and know your Python - we'd still love to hear from you!

What You'll Do

• Teach our well-designed Python full stack curriculum in an engaging way
• Make learning fun with hands-on coding sessions and real-world examples
• Support students at different skill levels with patience and enthusiasm
• Provide helpful feedback to help students grow their skills
• Share your passion for Python and web development
• Be part of our friendly, collaborative teaching team

Skills That Would Be Great

• Knowledge of Python and web frameworks like Django or Flask
• Experience with front-end basics (HTML, CSS, JavaScript)
• Familiarity with databases and how they connect to applications
• Some experience with Git and cloud services
• A knack for explaining tech concepts in simple, understandable ways
• Enthusiasm for teaching and helping others learn

Nice to Have (But Not Required!)

• Previous coding or development experience
• Some teaching or mentoring background
• A technical degree or relevant certifications

The Awesome Perks

• State-of-the-art high-tech training facility with the latest equipment
• Ready-to-use curriculum (no need to create materials from scratch!)
• Friendly, supportive work environment where everyone helps each other
• Competitive pay and benefits
• Flexible schedule options
• Be part of something meaningful - helping others launch their tech careers!

Come As You Are

We believe in potential and passion. If you're excited about teaching Python and helping others, we want to talk - even if your background isn't traditional. Our community is welcoming and supportive!

Join us and help others discover the fun of Python full stack development!

1. Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation

1. To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.

1. To actively engage yourself to collect inventory, stocks and work reports of the distributor in a

daily/weekly basis.

1. To look after smooth functioning and supply chain of the authorized distributor under your

periphery.

1. To oversee sales executive schedule and plan them accordingly.

1. To facilitate cross-functional communications among project stakeholders.

1. To actively engage yourself with core marketing policies required for business development.

1. To look after the grievances and claims arising from time to time maintaining proper

coordination with the company.

1. To actively follow other marketing strategies and instructions as and when instructed by the company.

• Having working experience in Service based company
• Having Engineering as bachelor degree is must
• Experience working ecommerce platform
• Soft spoken and good listener
• Good with Quant and reasoning
• Understanding of agile and scrum
• Good with commitment
• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions
• Strong proficiency with JavaScript
• Good understanding of server-side CSS preprocessors
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

• Strong Experience on Autosar 4.x BSW Diagnostics (UDS-IS014229) configuration and development.
• Strong Experience on DEM and FIM configuration and development.
• Knowledge on OEM specific service implementation.
• Knowledge and Experience on AUTOSAR standard, AUTOSAR configuration tools (EB Tresos, Vector Configurator DaVinci, ETAS isolar).
• Excellent programming skill in C language.
• knowledge on Requirements Engineering, Traceability and experience using any of the requirement engineering tools – DOORS
• Experience using the measurement/testing tools – CANoe, Trace32, MiniWiggler
• Excellent debugging, analytical, logical and communication skills
• Knowledge/Working Experience in Scripting languages – Python, CAPL.
• knowledge on Quality Management – Automotive SPICE
• Experience working in Agile-Scrum/Kanban development process