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Hiring For SDE II - Python (Remote)

The Impact you will create:

• Build campaign generation services which can send app notifications at a speed of 10 million a minute

• Dashboards to show Real time key performance indicators to clients

• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds

• Building highly available & horizontally scalable platform services for ever growing data

• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability

• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed

• You will build backend services and APIs to create scalable engineering systems.

• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.

• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.

• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.

• Identify and improvise areas of improvement through data insights and research.

Primary Responsibilities

• End-to-end ownership of product development, from design, through implementation, testing, deployment, and maintenance

• Translating high-level requirements and end-user use cases into design proposals, decomposing complex features into smaller, short-term deliverable tasks

• Maintaining constant focus on scalability, performance and robustness of architecture

• Designing and implementing logging, monitoring and alerting systems for existing and new infrastructure

• Documenting API's and architecture design

• Mentor and guide juniors on their path to become solid developers

  
  
  

What we look for?

• 4+ of industry experience in technical leadership roles

• Solid knowledge of Python, SQL, NoSQL, shell scripting and Linux operating environment

• End-to-end experience in design and development of highly scalable enterprise and cloud data products

• Ability to challenge and redefine existing architecture to create robust, scalable and reliable products

• Hands-on experience with design and troubleshooting of scalable web services, queue based systems, distributed databases and streaming services

• Experience with modern DevOps technologies such as kOps, Kubernetes and Docker, CI/CD, monitoring and autoscaling
  
  
  

We are looking for a Manager - Programmatic for one of the leading global media agencies in India.

Role - Manager (Programmatic)

Experience - 4+ years

Location - Mumbai, Bangalore & Gurgaon

About the company :-

Our Client is the worlds largest media investment company which is

a part of WPP. Neo is a global digital transformation agency with 1200 employees across 21 nations.

Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

What your day job looks like :-

- Manage a team of programmatic professionals with expertise in programmatic media

- Maintain positive client relationships, expectations, and communications

- Identify and solve client risks before they escalate to issues

- Oversee the cross-functional campaign development with internal

SEO/Search/Content/Social teams as well as sister media agencies

- Build on existing level of programmatic expertise and develop a reputation for innovation and efficiency internally

- Ensure the integration of programmatic into the overall communications strategy

- Support and lead the strategic development and execution of programmatic campaigns

- Foster teamwork and create a constructive work environment

- Maintain a high level of employee commitment

- Provide team leadership that rewards creativity

- Demonstrate thought leadership for clients and the industry

- Educate clients on the importance of programmatic in the overall marketing mix

- Understand clients' business and generate new ideas to enhance client performance

- Provide effective analysis to support marketing recommendations.

What you'll bring:-

- 5+ years of aligned industry experience, preferably within an agency

- Experience executing on Programmatic platforms (DV360, The Trade Desk, App Nexus (Xandr Invest), Amazon, etc.)

- Experience with analytical tools is an asset (Google Analytics, PMP Partners, Ad Servers, DMPs, etc.)

- Demonstrated strong client relationship responsibility

- Proven account management experience, including analytical and creative problem-solving skills 

- Ability to interact in a professional manner and communicate with clients over calls

- Proven ability to lead successful campaigns

- Superior verbal and written skills with outstanding presentation ability

- High level of attention to detail and the ability to handle and prioritize multiple accounts

- High level of technical proficiency in Microsoft Office, specifically Excel and PowerPoint

- Come with experience of handling 6-7 direct reporters.

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

Job Description:  

As a L3 analyst, you will play a key role within the Application Management team, leading services for its customer(s). This service has responsibility for the smooth daily operational running of the Client platform both in the cloud and on-premises. The Client application is business critical and centrally manages data for trading, settlement, risk, client and regulatory reporting systems. As a L3 analyst, you will be responsible for supporting complex infrastructure and application issues raised by L1/L2 support teams, and business analysts. You would also be working on client requests for enhancements, fixes, maintaining custom code, and following the best practices such as Agile, DevOps, etc.

The role is a technical role requiring a good technical knowledge of SQL/PLSQ, Core Java along with good debugging skill while supporting client implementations. You should have basic understanding on Unix system and commands. The ability to troubleshoot issues, assist users and help write specifications is essential. This position also works with product management to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments.

• Accountability and primary responsibility/duties:
• A typical day would look like as follows: -
  • 40% support issues.
  • 40% configuration/development work.
  • 20% continuous improvement, automation, CICD, so on.
• Activities would range across the lifecycle from discovery to post-implementation support.
• Understanding client’s requirement, replicate the problem and providing the solution
• Understanding and developing new requirements coming in from BAs (Business Analysts) and customers.
• Update the existing functionality based on client needs.
• Develop changes that cater to enhancing the product and/or fixing production issues
• Prepare product releases of software components. (Java/SQL-PLSQL)
• Contribute in all phases of the development cycle. (development/Deployment/Testing, peer review)
• Create technical document for all changes made.

Required Qualifications/Knowledge/Skills

• Bachelor’s degree in Computer Science or related field
• Strong basics and working experience in following technologies: -
  • Core Java.
  • SQL / PLSQL coding.
  • Object Oriented Programming concepts and data structures.
• Working knowledge on Unix platform
• Working knowledge on XSLT and XML handling
• Basic understanding App & web server working knowledge (JBOSS, WebLogic and WebSphere) and debugging skills.
• Advantageous to have:
  • Working understanding on CICD, Dev-ops technologies.
  • Queuing technologies including Kafka, MQ, Solace.
  • Scripting including Python, Unix, java.
• Hands on knowledge of Dev ops processes and tools Good interpersonal and communication skills.
  
  

• Works towards developing Stable & Efficient Applications for
• Responsible for developing Applications which are Stable, Efficient and if required cross   
• Responsible to create Native Applications for Android to achieve best performance.
• Responsible for understanding best UI Practices
• Responsible for creating Application UI utilizing latest Google UI Guide lines.
• Qualification: B.E. / B.Tech / M.C.A. in Computer Sciences.
• Should have Experience of at least one production environment Application in Google Play Store. GIT, Agile Frameworks, Jenkins
• Must have Java, Android, C, and C++.

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