Data Science Platform Engineer
Data Science Platform Engineer
Posted on :
04-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Description
Infosys is seeking Data Science Platform Engineer This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module lead validation for all types of testing and support activities related to implementation transition and warranty; be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.
Required Qualifications:
Candidate must be located within commuting distance of Plano TX or be willing to relocate to the area. This position may require travel to project locations.
Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience
4 years of experience in software engineering DevOps or data engineering roles with exposure to machine learning.
Strong programming skills in Python and familiarity with other languages like java scripting.
Proficiency with cloud platforms (AWS GCP or Azure) and container orchestration tools like Kubernetes and Docker.
Good understanding of ML lifecycle tools (MLflow TensorFlow Extended (TFX) SageMaker or similar).
Understanding of data science workflows and ML model development pipelines.
Familiarity with CI/CD infrastructure-as-code (Terraform CloudFormation) and monitoring/logging tools (Prometheus Grafana etc.).
Experience with version control systems (e.g. Git) and workflow orchestration tools (e.g. Airflow Prefect).
Preferred Qualifications:
Experience deploying and supporting large-scale machine learning systems in production.
Familiarity with data lake/lakehouse architectures (e.g. Delta Lake Iceberg).
Knowledge of feature stores and metadata management tools.
Contributions to open-source projects in the ML/DevOps community.
Strong communication skills and ability to work across teams.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face. Travel may be required as per the job requirements.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Infosys is seeking Data Science Platform Engineer This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module lead validation for all types of testing and support activities related to implementation transition and warranty; be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.
Required Qualifications:
Candidate must be located within commuting distance of Plano TX or be willing to relocate to the area. This position may require travel to project locations.
Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience
4 years of experience in software engineering DevOps or data engineering roles with exposure to machine learning.
Strong programming skills in Python and familiarity with other languages like java scripting.
Proficiency with cloud platforms (AWS GCP or Azure) and container orchestration tools like Kubernetes and Docker.
Good understanding of ML lifecycle tools (MLflow TensorFlow Extended (TFX) SageMaker or similar).
Understanding of data science workflows and ML model development pipelines.
Familiarity with CI/CD infrastructure-as-code (Terraform CloudFormation) and monitoring/logging tools (Prometheus Grafana etc.).
Experience with version control systems (e.g. Git) and workflow orchestration tools (e.g. Airflow Prefect).
Preferred Qualifications:
Experience deploying and supporting large-scale machine learning systems in production.
Familiarity with data lake/lakehouse architectures (e.g. Delta Lake Iceberg).
Knowledge of feature stores and metadata management tools.
Contributions to open-source projects in the ML/DevOps community.
Strong communication skills and ability to work across teams.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face. Travel may be required as per the job requirements.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
