Genpact vs Gartner: Which Firm Will the Experienced Techies Choose?

Genpact vs Gartner, these two firms are on a hiring binge for software engineers in India

Genpact vs Gartner, these two firms are on a hiring binge for software engineers in India for freshers and also experienced techies. Genpact and Gartner are two firms that are actively hiring amid the ongoing big tech layoffs. In this article, we'll see the roles for which these two IT firms are hiring in India.

Genpact

Do you intend to change jobs? Genpact, a major player in the industry is now recruiting. The company is on the lookout for experts with a few years of expertise. Some of the roles that are currently open at the company are listed below.

ML DevOps Engineer

Location: Noida

Roles and Responsibilities:

1. As a Machine Learning DevOps engineer, you will be responsible for Productionize NLP and predictive modeling artificial intelligence tools.
2. You will be responsible for taking development projects to production and cultivating CI/CD pipelines- (Continuous Integration/Continuous Delivery). Ensure developers are provided a full set of DevOps tools by leading the establishment of the right tooling and processes that will result in a fully automated release management pipeline to include: the Automated build process, environment setups, testing scripts, deployments, and production operational metrics/debugging information (to target developers).
3. You will be responsible for inculcating best Practices for Data Security and Data Governance in the team.
4. Work across teams to bring continuous improvement to engineering processes and tools.
5. Participate in architecture, deployment, operation, maintenance, and enhancement of tools, libraries, frameworks, platforms, and software solutions
6. Evaluate and select appropriate technology platforms, frameworks, and deployment architecture for products.
7. Work closely with other AI and NLP experts.

Data Engineer

Location: Gurugram

Roles and Responsibilities:

1. The ML Data Engineer works both independently and in collaboration with a cross-functional team of Data scientists and solution system architects to effectively develop, deploy, monitor, manage, and support AI/ML models and advanced analytics technology, data infrastructures, and underlying analytics use cases—primarily focused around open-source technologies including cloud infrastructures.
2. This individual evaluates short/long-term business needs required to support key business goals and priorities and works to ensure Advanced analytics solutions are built and deployed effectively and efficiently on Key Enterprise systems.
3. Under the guidance of the Group's Director and in cooperation with partners in decision science, technology, and data the Engineer will coordinate the development of on-premises and cloud-based analytical non-production and production infrastructure and tools providing computational and statistical capabilities to enhance business results and monetize on key data assets for business decision management solutions.
4. The Engineer will be working closely with data scientists, data mining experts, and business partners supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
5. The Engineer has the responsibility for advising data scientists, Agile project teams, and solution architects in the integration of analytical models/methods into decision management solutions. The Engineer will assist peers in best practices and in the selection and integration of appropriate tools to support required analytic products in close coordination with the organization's AI/AutoML analytics, digital intelligence engineers, solution/data architects, data integration developers, and data science community ensuring tight integration of functionality and toolsets.

Gartner

One of the top technology research and consulting companies is Gartner. The company consistently hires both new and seasoned techies for a variety of positions throughout India. The company is now hiring data engineers, senior data engineers, and software developers.

Software Engineers

Location: Gurugram

Roles and Responsibilities:

1. Participate in architecture design and implementation of high-performance, scalable, and optimized data solutions.
2. Design, build and automate the deployment of data pipelines and applications to support data scientists and researchers with their reporting and data requirements.
3. Integrate data from a wide variety of sources, including on-premise databases and external data sources with rest APIs and harvesting tools.
4. Collaborate with internal business units and data science teams on business requirements, data access, processing/transformation, and reporting needs and leverage existing and new tools to provide solutions.
5. Effectively support and partner with businesses on implementation, technical issues, and training on the data lake ecosystem
6. Work with the team on managing AWS resources (EMR, ECS clusters, etc.) and continuously improve the deployment process of our applications

Senior Software Engineer

Location: Bengaluru

Roles and Responsibilities:

1. Be a part of a new energetic team of engineers delivering fresh Products.
2. Fluently code as a full-stack developer.
3. Work with Open-source technologies and applications.
4. Work in a fast-paced environment along with passionate, technology rock stars.
5. Follow coding standards, and build appropriate unit tests, integration tests, and deployment scripts.
6. Continuously problem-solve to create secure and simple solutions.
7. Create a robust backend for resilience and high performance.
8. Bring to life scalable, modern designs.

Data Engineer

Location: Bengaluru or Noida

Roles and Responsibilities:

1. Be a part of a new energetic team of engineers delivering fresh Products.
2. Work as a Data Engineer.
3. Work with Open-source technologies and applications.
4. Work in a fast-paced environment along with passionate, technology rock stars.
5. Follow coding standards, and build appropriate unit tests, integration tests, and deployment scripts.
6. Continuously problem-solve to create secure and simple solutions.
7. Create a robust backend for massive scalability and high performance.
8. Bring to life elegant and modern data solutions.