Remote - Sr.Machine Learning Engineer
Global Soft Systems, Inc New York
Title - Machine Learning 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.
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.
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