Instructions To Be Followed Before Applying for the Job:
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
As a Backend Developer at Cequence Security, you will be responsible for designing, developing, and maintaining the critical backend components across all of our security products. An important responsibility of your role will be to architect, design, and develop new product ideas and features from conception to final implementation. This will include working on all backend services, data pipelines, and data plane network components. You will work with Architects, Engineers, Data Scientists, and Security experts on challenging problems and bring new product features to fruition.
The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!
Data Scientists within Ai partner with business and technology leaders across the company to deploy machine learning powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, reduce costs, and boost customer engagement by leveraging state-of-the-art Machine Learning techniques. Data Scientists contribute in developing smart and innovative solutions across many of United’s departments.
- Working on projects in partnership with business teams to identify opportunities for improvement and gathering and analyzing information and data.
- Delivering high quality ML solutions and maintaining proper documentation to foster seamless workflows and code-reusability principles.
- Effectively structuring communication of insights from workstreams and delivering clear and professional presentations to the team/team leaders/managers/stakeholders.
Skills Required:
- Strong ML fundamentals – Model Training/Valiation, Bagging/Boosting, GBDT, Neural Networks etc.
- Proficient with Python & SQL
Location: Gurugram
Internship Duration: 6 months
Eligibility Criteria:
1)Bachelor’s degree (ongoing/completed) in Engineering, Technology, Computer Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Economics
2)Available for 6 months
3)No prior industry experience required