What success looks like in this role:
We are seeking a motivated AI/ML Engineer with 1+ years of experience in designing, developing, and deploying Machine Learning and Artificial Intelligence solutions. The ideal candidate should possess strong analytical skills, hands-on experience with AI/ML technologies, and excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.
Key areas:
Develop, train, test, and deploy machine learning models for business applications.
Work with structured and unstructured data for data preprocessing, feature engineering, and model development.
Implement AI/ML algorithms using Python and relevant frameworks.
Monitor and optimize model performance to ensure scalability and accuracy.
Collaborate with data engineers, developers, and business stakeholders to understand requirements and deliver AI-driven solutions.
Prepare technical documentation and present findings to technical and non-technical audiences.
Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
Required Skills
1+ years of experience in AI/ML development.
Strong proficiency in Python.
Hands-on experience with Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
Knowledge of Data Science, statistics, and predictive modeling techniques.
Experience with SQL and data manipulation tools.
Understanding of Generative AI, LLMs, NLP, or Computer Vision concepts is an added advantage.
Familiarity with cloud platforms such as Azure, AWS, or GCP is preferred.
Skills
Excellent verbal and written communication skills.
Strong problem-solving and analytical abilities.
Ability to work effectively in a collaborative team environment.
Good presentation and stakeholder management skills.
Eagerness to learn and adapt to new technologies.
Preferred Skills
Exposure to Generative AI, Prompt Engineering, RAG, and LLM-based applications.
Experience with Git, MLOps, CI/CD pipelines, and Model Deployment.
Knowledge of REST APIs and microservices architecture.
#LI-SS1
You will be successful in this role if you have:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- 1+ years’ relevant experience OR equivalent combination of education and experience
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
Skills Required
- 1+ years of experience in AI/ML development
- Proficiency in Python
- Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, or Keras)
- Knowledge of data science, statistics, and predictive modeling techniques
- Experience with SQL and data manipulation tools
- Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related (or equivalent education/experience)
- Understanding of Generative AI, LLMs, NLP, or Computer Vision concepts
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Exposure to Generative AI, Prompt Engineering, RAG, and LLM-based applications
- Experience with Git, MLOps, CI/CD pipelines, and model deployment
- Knowledge of REST APIs and microservices architecture
- Excellent verbal and written communication, problem-solving, and collaboration skills
Unisys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
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Retirement Support — Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
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Healthcare Strength — Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.
Unisys Insights
What We Do
Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial
