About the Company
NTT DATA is a trusted global innovator, delivering technology-enabled services and solutions to clients around the world. As a leader in digital transformation, we leverage cutting-edge AI, machine learning, and data analytics to drive business value and solve complex challenges. Join a team dedicated to pushing the boundaries of what’s possible in the tech landscape.
Job Description
We are seeking an experienced Machine Learning Specialist with a deep understanding of recommendation systems and a specific focus on algorithms similar to those used by platforms like Pinterest. In this role, you will be instrumental in designing, developing, and deploying advanced machine learning models to optimize content discovery, personalization, and user engagement. You will work with large datasets, collaborate with cross-functional teams, and contribute to the end-to-end lifecycle of ML solutions, ensuring performance, scalability, and impact.
Key Responsibilities
- Design, develop, and implement machine learning models with a focus on recommendation algorithms and content ranking, specifically drawing parallels to Pinterest's approach.
- Analyze large-scale user interaction data to identify patterns, opportunities, and challenges related to content discovery and personalization.
- Conduct experiments, evaluate model performance, and iterate on solutions to continuously improve algorithm effectiveness and user experience.
- Collaborate with data engineers to ensure robust data pipelines and feature engineering for ML models.
- Work closely with product managers and other stakeholders to translate business requirements into technical specifications and deliver impactful ML solutions.
- Stay current with the latest advancements in machine learning, deep learning, and recommendation systems research.
- Mentor junior data scientists and contribute to a culture of continuous learning and innovation.
Required Skills
- Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 4+ years of professional experience in machine learning engineering or data science roles, with a focus on recommendation systems or personalization.
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms including collaborative filtering, content-based filtering, matrix factorization, and deep learning models for recommendations.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL for data manipulation and analysis.
- Solid grasp of statistical methods and experimental design (A/B testing).
- Familiarity with the architecture and mechanics of large-scale content discovery platforms like Pinterest.
Preferred Qualifications
- Ph.D. in a related field.
- Experience with cloud platforms such as AWS, Azure, or GCP and their ML services.
- Knowledge of MLOps practices and tools for model deployment, monitoring, and maintenance.
- Prior experience working on user-generated content platforms or visual search technologies.
- Contributions to open-source projects or publications in top-tier ML conferences.
Perks & Benefits
- Comprehensive medical, dental, and vision insurance plans.
- Generous paid time off and holidays.
- 401(k) retirement plan with company match.
- Professional development opportunities and continuous learning programs.
- Flexible work arrangements and work-life balance initiatives.
- Employee assistance program and wellness resources.
- Dynamic and innovative work environment.
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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