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Internship Infosys Machine Learning Jobs (NOW HIRING)

... on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn ...

$42.75/hr

The team is made up of machine learning researchers and engineers, who support and innovate on ... Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ...

Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing ... Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to ...

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... internships, undergraduate research or thesis, or substantial independent technical projects ...

Showing results 21-40

Internship Infosys Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do internship infosys machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship infosys machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Infosys Machine Learning vs Data Science Intern?

AspectInternship Infosys Machine LearningData Science Intern
Required CredentialsBasic programming, understanding of ML algorithms, coursework in AI/MLStatistics, programming, data analysis coursework
Work EnvironmentCorporate setting, collaborative teams, project-basedResearch or corporate projects, data analysis tasks
Industry UsageTechnology, consulting, financeTech, finance, healthcare, research
Common Search IntentInternship opportunities, skills required, company-specific infoData analysis skills, project examples, career path

Internship Infosys Machine Learning focuses on applying machine learning algorithms in a corporate environment, often emphasizing programming and model deployment. Data Science Internships cover broader data analysis, statistics, and insights generation. Both roles require foundational technical skills, but Machine Learning internships are more specialized in AI/ML techniques, while Data Science internships encompass a wider range of data handling and analysis tasks.

What cities are hiring for Internship Infosys Machine Learning jobs?

Cities with the most Internship Infosys Machine Learning job openings:

What are the most commonly searched types of Infosys Machine Learning jobs?

The most popular types of Infosys Machine Learning jobs are:

What states have the most Internship Infosys Machine Learning jobs?

States with the most job openings for Internship Infosys Machine Learning jobs include:

Full-time

Re-posted 13 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 544 rated manufacturers


Job description

Are you ready to turn machine learning ideas into reliable solutions that improve how products are made?

What is your role?

As a Machine Learning Engineer, you will work within a collaborative technical team to build, deploy, monitor, and maintain machine learning solutions that create measurable business value. You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move models from experimentation into scalable and reliable production environments. This role is based in Monterrey and requires regular onsite presence, with hybrid flexibility.

Major responsibilities and tasks of the position:

- Participate in the development and maintenance of end-to-end machine learning pipelines, including data ingestion, preprocessing, training, validation, deployment, monitoring, and retraining.

- Collaborate with data scientists and engineers to translate prototypes and experimental models into production-ready solutions.

- Support model serving through APIs, batch jobs, or real-time systems, and apply MLOps practices for versioning, orchestration, monitoring, and CI/CD.

- Troubleshoot data, model, deployment, and integration issues while maintaining clear technical documentation and participating in code reviews.

What do you need to have?

- Bachelor's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.

- 0-2 years of experience in machine learning, data science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects.

- Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch.

- Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the tools used, and the outcome.

- Basic familiarity with data pipelines, databases, APIs, software development practices, or workflow automation.

- Advanced technical and business English, both written and verbal.

- Ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.

What would be a plus?

- Exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or other MLOps/DevOps tools.

- Experience with manufacturing, industrial, process, plant, or production data.- A GitHub portfolio or other examples that demonstrate hands-on technical work.

What do we offer?

- Competitive benefits above the requirements of Mexican law.

- Opportunity to work on high-impact machine learning initiatives that support manufacturing and business transformation.

- Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.

- Learning and career development in a growing technical organization.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com 


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