
Interested Candidate can apply directly through link -
https://forms.gle/1ApBwpJcFitQGnAE6
Title - Applicant Training Program for B2C sales
Duration - 6 weeks
Stipend - 37,500
Starting 2 week online training from office and 4 week On Job Training from Home
After training
Designation - Business Development Associate - B2C sales
Salary package - 7 LPA Fixed + 3 LPA Variable
Job Description:
You will begin in an individual contributor’s role, working in a team of go-getters to help spread the #byjus way of Learning in your city. You would be showcasing the unique #byjus way of Learning to students and parents and will be responsible for mentoring and sales in your designated zone.
Preferred Skill Sets:
• Having a keen interest and deep understanding of the Indian education sector.
• Interested in mentoring and guiding students.
• Having a knack for sales
• Good interpersonal and presentation skills.
Academic Qualification: Any UG/PG (2021 passing out)
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About BYJU’S - The Learning App
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Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
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- Sprint-accompanying testing in the Scrum team
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Desired Candidate Profile
What you need to have:- An MBA and/ or a CA
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- Laravel + Vue.js
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- Good knowledge of inheritance, use of a single source of truth
- Familiarity with databases MySQL, Redis, MongoDB web servers like Apache and Nginx
- Must have experience of GitHub or GitLab
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- Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
- Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
- Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI) - Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
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- Administer compensation and benefit plans
- Assist in talent acquisition and recruitment processes
- Conduct employee onboarding and help organize training & development initiatives
- Provide support to employees in various HR-related topics such as leaves and compensation and resolve any issues that may arise
- Promote HR programs to create an efficient and conflict-free workplace
- Assist in development and implementation of human resource policies
- Undertake tasks around performance management
- Gather and analyze data with useful HR metrics, like time to hire and employee turnover rates
- Organize quarterly and annual employee performance reviews
- Maintain employee files and records in electronic and paper form
- Enhance job satisfaction by resolving issues promptly, applying new perks and benefits and organizing team building activities
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- Proven experience as an HR Generalist
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Position Title: SDET 2/3
Software Development Engineer in Test (SDET)
Position/Role Description
This position is for a tester with strong coding skills who likes challenges - someone who is constantly striving for excellence in software test automation.
Responsibilities include:
* Develop automated test cases on a day-to-day basis
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* Train team members on tool use and test automation tools, practices, techniques and best practices
* Communicate cross-functionally throughout the engineering organization
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* Bachelor’s degree or better in CS or related field, with 6+ years experience in software test.
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Preferred (Bonus) Qualifications:
* Knowledge of current build and test automation tools and processes, such as JUnit/TestNG, Maven, Jenkins, Mockito, JBehave, Git, etc
* Experience with whitebox testing, code reviews, SDK testing
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* Knowledge of at least one scripting language (Python, Bash, Ruby or comparable).
Please acknowledge and revert with your availability on weekday betweem 11:30 AM to 2:30 PM


