1) Company : Google
Role :
Software Engineer – FTE
Batch :
2024 pass outs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience
- Experience working with Unix/Linux, Windows or macOS environments, distributed systems, machine learning, information retrieval and TCP/IP
- Experience programming in C, C++, Java, or Python
Responsibilities:
- Research, conceive, and develop software applications to extend and improve on Google’s product offering.
- Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
- Collaborate on scalability issues involving access to data and information.
- Solve challenges/problems that you are presented with.
Link :
2) Company : Stripe
Role :
Software Engineering, New Grad
Batch :
2024 / 2023 / 2022 pass outs
Minimum qualifications:
- A Bachelor’s, Master’s, or PhD degree in computer science or a directly related field, obtained by summer 2024, or equivalent work experience
- Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
- Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
- Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Responsibilities :
- Work on cross-functional projects, directly collaborating with other engineers
- Give meaningful feedback on code reviews and technical designs
- Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
- Build the skills to own a project from beginning to end, learning project management and technical leadership skills
Link :
3) Company : Groww
Role :
Machine Learning Engineer – 1
Batch :
2021 / 2022 pass outs
Minimum qualifications:
- Years of Experience in Data Science: 1 -2 Years.
- Hands-on experience and working knowledge of machine learning algorithms on real-world applications.
- Strong Python coding skills.
- Ability to work in a big data ecosystem – knowledge of SQL, Big Query, and Big Data Technologies (Hive/PySpark)
- Experience in cloud-computing environments like Azure AWS or Google Cloud Platform.
- Good in problem-solving and building ML solutions.
- Experience in deploying ML solutions to production is a plus.
- Education Qualification: Any Graduate/PG
Responsibilities :
- Responsible for solving complex problems using data science and machine learning across business functions.
- Collaborate with cross-functional teams to understand business objectives and help formulate data-driven solutions.
- Conduct exploratory data analysis (EDA) and root cause analysis to identify patterns, trends, and anomalies in the data.
- Deploy model successfully in production and independently own end-to-end ML pipeline.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Link :
4) Company : Amazon
Role :
Data Scientist Intern
Batch :
2022 / 2023 / 2024 pass outs
Minimum qualifications:
- Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
– Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
– Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.
– Academic Experience with Big Data platforms like Apache Spark and Hadoop.
– Familiarity with data processing with Python, R & SQL.
– Familiarity with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.
Responsibilities :
- Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
– Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction
– Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
– Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
– Analyze and solve business problems at their root
Link :
5) Company : Ford
Role :
Software Engineer
Batch :
2022 / 2023 / 2024 pass outs
Minimum qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
- Proven experience as a Frontend Engineer or similar role, with a strong portfolio showcasing frontend projects.
- Proficiency in HTML, CSS, and JavaScript.
- Experience with frontend frameworks like Angular, Vue.js, or React.
- Strong understanding of responsive design principles and cross-browser compatibility.
Responsibilities :
- Collaborate with product managers, designers, and backend developers to understand project requirements and translate them into technical specifications.
- Design and develop user interfaces for web applications using HTML, CSS, and JavaScript.
- Implement responsive and visually appealing designs using modern frontend frameworks like Angular, Vue.js, or React.
- Optimize application performance and ensure cross-browser compatibility.
- Integrate with backend APIs and services to retrieve and update data asynchronously.
- Collaborate with designers to ensure UI/UX designs are implemented accurately and efficiently.
- Conduct thorough testing and debugging to identify and resolve frontend defects and issues.
- Optimize web application performance and ensure smooth user experience.
- Stay updated with emerging frontend technologies, trends, and best practices.
- Participate in code reviews to ensure adherence to coding standards and best practices.
- Document software features, technical specifications, and user guides for reference and future maintenance.