Title - Machine Learning ( F2F interview is required)
Location - New York, NY ( Hybrid 2-3 days onsite)
Job Description:
- Analyze large and complex datasets to derive actionable insights and inform business strategies.
- Develop and implement advanced machine learning models and algorithms.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Communicate findings and recommendations to stakeholders and executive leadership.
- Stay updated with the latest trends and technologies in data science and machine learning.
Basic Qualifications:
- Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
- Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
- Minimum of 2 years of experience in a data science role.
- Proficiency in programming languages such as Python or R..
- Strong understanding of machine learning techniques and algorithms.
Preferred Qualifications:
- Experience with modern ML frameworks such as PyTorch, TensorFlow
- Experience with big data technologies such as PySpark
- Experience with ML model training within cloud infra such as Azure, AWS, GCP
- Proven track record of successfully deploying and optimizing ML models in a production environment.
- Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.