About the Company
IBM is a global technology and consulting company headquartered in Armonk, New York, with operations in over 170 countries. We are a leading innovator in artificial intelligence, cloud computing, quantum computing, and blockchain technologies. At IBM, we believe in progress—that the application of intelligence, reason and science can improve business, society and the human condition. Join us to work on challenging projects that make a real difference in the world.
Job Description
We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative AI team in Winston-Salem, NC. This is an exceptional opportunity for talented professionals requiring LMIA (Labour Market Impact Assessment) or Tier 2 visa sponsorship to build a career in the United States. You will be responsible for designing, developing, and deploying cutting-edge machine learning models and systems that solve complex business problems across various industries. The ideal candidate will have a strong background in machine learning algorithms, deep learning, MLOps, and experience with large-scale data processing. You will work closely with data scientists, software engineers, and product managers to bring AI solutions from research to production.
Key Responsibilities
- Design, develop, and implement robust and scalable machine learning models.
- Perform data preprocessing, feature engineering, and model training.
- Evaluate, fine-tune, and optimize ML models for performance and efficiency.
- Develop and maintain ML pipelines, MLOps tools, and infrastructure for model deployment.
- Collaborate with data scientists to translate research prototypes into production-ready systems.
- Monitor deployed models for performance, drift, and retraining needs.
- Research and integrate new machine learning techniques and technologies.
- Contribute to the entire software development lifecycle, including testing and documentation.
Required Skills
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning).
- Experience with deep learning frameworks and neural networks.
- Solid knowledge of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a collaborative team environment.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
Preferred Qualifications
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience with big data technologies (Spark, Hadoop).
- Knowledge of distributed systems and microservices architectures.
- Familiarity with agile development methodologies.
- Publications in top-tier ML conferences or journals.
- Experience with natural language processing (NLP) or computer vision (CV) applications.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- 401(k) retirement plan with company match.
- Life insurance and disability coverage.
- Tuition reimbursement and continuous learning opportunities.
- Employee assistance program.
- On-site fitness center and wellness programs.
- Visa sponsorship and relocation assistance for eligible candidates.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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