S&P Global Hyderabad ML Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

S&P Global is an American publicly traded corporation, with a focus on its business in the areas of financial information and analytics.  

In the latest job announcement, S&P Global announces job vacancies for ML Engineer posts, with work location in Hyderabad.

Under S&P Global Hyderabad ML Engineer 2025 Jobs, candidates having required skills in Python, R, Java or C# can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: ML Engineer.

Job Code: 308656.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 4+ years.

Job Location: Hyderabad.

Apply Mode: Online.

Job Responsibilities:

• To collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs.
• To design, construct, install, and maintain large-scale processing systems and other infrastructure.
• To build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data. 
• To implement ETL processes to acquire, validate, and process incoming data from diverse sources. 
• To ensure data architecture and model adhere to compliance, privacy, and security standards. 
• To work in conjunction with data scientists to optimize data science and machine learning algorithms and models. 
• To provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors. 
• To manage the deployment of analytics solutions into production and maintain them. 
• To maintain high-quality processes and deliver projects in collaborative Agile team environments.

Requirements: 

• 3+ years of programming experience particularly in Python, R, Java or C#.
• 1+ years of experience working with SQL or NoSQL databases. 
• Experience working with Pyspark.
• University degree in Computer Science, Engineering, Mathematics, or related disciplines. 
• Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. 
• Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. 
• Experience with workflow management platforms like Airflow. 
• Strong analytical and problem-solving skills. 
• Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. • Experience building solutions and working in the Agile working environment
• Experience working with git or other source control tools

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with S&P Global career portal and login in to apply.

Apply online:

https://careers.spglobal.com/jobs/308656?lang=en-us

For more information about S&P Global vacancies, visit the S&P Global Recruitment page.