About the Company
IBM is a global technology and consulting company headquartered in Armonk, New York. We are innovators, creators, and doers, working to power the future of business and technology. From quantum computing to artificial intelligence, IBM is at the forefront of the cognitive era, solving some of the world’s most complex problems. Join a team dedicated to making a lasting impact through groundbreaking advancements.
Job Description
We are seeking a talented and motivated Machine Learning Engineer to join our innovative team in Brooklyn, NY. This is a unique opportunity for individuals who require LMIA or Tier 2 sponsorship, as IBM is committed to supporting exceptional global talent. In this role, you will be instrumental in designing, developing, and deploying cutting-edge machine learning models and systems across various domains. You will work with large datasets, build scalable ML pipelines, and collaborate closely with data scientists and software engineers to bring intelligent solutions to life. We value diverse perspectives and are looking for someone who is passionate about leveraging AI to drive business value and solve challenging problems. This position requires an on-site presence in our Brooklyn office.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable machine learning pipelines for data ingestion, training, and deployment.
- Collaborate with data scientists to translate research prototypes into production-ready solutions.
- Evaluate, optimize, and improve the performance of existing machine learning models.
- Conduct rigorous testing and validation of models to ensure reliability and accuracy.
- Participate in code reviews and contribute to the team's engineering best practices.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
Required Skills
- Strong proficiency in Python programming language.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning algorithms and principles.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
- Understanding of MLOps principles and tools.
- Excellent problem-solving skills and attention to detail.
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with distributed systems and microservices architecture.
- Knowledge of natural language processing (NLP) or computer vision techniques.
- Publications in relevant conferences or journals.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Competitive paid time off and holidays.
- 401(k) retirement plan with company match.
- Professional development and training opportunities.
- Life and disability insurance.
- Employee assistance program.
- On-site fitness center and wellness programs (where applicable).
- Flexible spending accounts.
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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