Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Cognizant Romania is home to 2300+ creative technologists and is one of Eastern Europe's largest Software Product Engineering delivery networks. We serve global clients in several industries, including Banking & Financial Services, Insurance, Healthcare & Life Sciences, Communication Media & Technology, and Retail & MLEU (manufacturing, logistics, energy & utilities).
Cognizant Romania was established in 2018 when Cognizant acquired Softvision, a company founded in the late 1990s in Cluj-Napoca, Romania. We continue to build on our history as the preferred engineering partner for thriving Silicon Valley tech companies, now as a prominent Cognizant next generation studio.
We are seeking a talented and experienced AI/ML Engineer with a strong background in Python, Azure ML, and DevOps/MLOps to join our team.
This position is open at any of our locations in Romania, including the option to work remotely within the country.
Key Responsibilities:
- Design, develop, and deploy machine learning models to address complex challenges and improve business operations.
- Design and implement ML solutions using the Azure framework, including Azure SDK and Azure services.
- Utilize Azure Functions and REST APIs to integrate and extend machine learning solutions.
- Apply strong knowledge of Azure DevOps and MLOps practices to manage and optimize machine learning workflows.
- Develop unit tests for machine learning models, and handle model deployment, monitoring, and re-training processes.
- Design and implement scalable ML pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment.
- Collaborate with stakeholders to gather requirements, understand business needs, and translate them into technical solutions.
- Provide support for deployed solutions in delivery projects and resolve issues in timely manner.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Proven experience in designing and deploying machine learning models.
- Expertise with unit tests, building CI/CD pipelines, and managing model deployment and monitoring.
- Proficiency in Azure services and Azure SDK.
- Strong knowledge of Azure DevOps and MLOps.
- Experience in designing scalable ML pipelines and optimizing model performance.
- Excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams.
Cognizant Romania Employee Benefits:
- Flexible Work Schedule - Outside of main work hours, you can create a schedule that suits your needs
- Hybrid workplace - Whether you like to work from home or go to the office, the choice is yours
- Annual Vacation Days - 26 days to relax, explore and spend time with loved ones
- Trainings, workshops, and certifications, unlimited Udemy subscription and more
- Private medical package
- Meal tickets
- Referral bonuses
- Life insurance
- Banking services
- Bookster
Please note that only suitable candidates will be contacted and that by applying to this role you are being informed about your personal data being processed by Cognizant.
You can find more details here: https://www.cognizant.com/us/en/privacy-notice
Key Skills
Ranked by relevanceReady to apply?
Join Cognizant and take your career to the next level!
Application takes less than 5 minutes

