What are the responsibilities and job description for the Machine Learning Research Engineer position at Mindtech?
Mindtech is a leader in providing end-to-end software outsourcing solutions, bridging the gap between Latin American talent and global companies. Our team excels in delivering innovative and cutting-edge technologies to clients worldwide. We are looking for a passionate and skilled Machine Learning Research Engineer to join our growing team in Boston and help us push the boundaries of AI and machine learning.
Role Overview:
As a Machine Learning Research Engineer at Mindtech, you will be at the forefront of developing and applying state-of-the-art machine learning techniques. You will work closely with data scientists, engineers, and product teams to create models that solve complex real-world problems. The ideal candidate will have a strong academic and research background in machine learning, hands-on experience in model development, and a passion for experimenting with innovative AI techniques.
Key Responsibilities:
- Research, design, and implement cutting-edge machine learning models for various applications.
- Collaborate with cross-functional teams to translate business needs into practical ML solutions.
- Develop scalable machine learning algorithms and optimize model performance.
- Stay up to date with the latest advancements in AI and machine learning, integrating new methods into ongoing projects.
- Conduct thorough experimentation and analysis to validate model effectiveness.
- Build, train, and evaluate models using large datasets, ensuring robustness and accuracy.
- Write research papers and technical documentation to present findings internally and externally.
- Contribute to the overall architecture and design of machine learning systems.
Requirements:
- Educational Background: PhD in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or a related field is required.
- Experience:
- Proven research experience with hands-on experience in designing and implementing ML models.
- Experience with deep learning frameworks (TensorFlow, PyTorch) and classical ML libraries (Scikit-learn).
- Solid experience in Python and familiarity with data manipulation tools (Pandas, NumPy).
- Skills:
- Strong understanding of supervised and unsupervised learning techniques.
- Proficiency in model evaluation, optimization, and hyperparameter tuning.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying machine learning models.
- Excellent problem-solving skills and ability to work with large, complex datasets.
- Strong communication skills for effectively presenting complex concepts to both technical and non-technical stakeholders.
Nice to Have:
- Experience with reinforcement learning, natural language processing, or computer vision.
- Published research in high-impact ML/AI conferences or journals.
- Familiarity with MLOps and CI/CD pipelines for ML models.
Why Join Mindtech?
- Work with a diverse and talented global team.
- Opportunity to work on cutting-edge AI projects.
- Access to continuous learning and development opportunities.
- Competitive salary and benefits.
Ready to push the boundaries of machine learning? Join us at Mindtech in Boston and make an impact!