What are the responsibilities and job description for the Senior Machine Learning Engineer position at VASG (Vista Applied Solutions Group)?
Job Details
Below are some important feedbacks from client for Machine Learning Role,
1 Candidates are lacking on design and problem-solving scenario-based questions.
2. Using LLM/Chat GPT to provide responses in some cases.
3. Need no more than 2-page profile as it seems they are using chatGPT to create / update profiles and they don't know what they have written in the profile.
4. It would be good if candidate can come for in-person interview.
Please assist by providing relevant resumes.
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, Google Cloud Platform
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.
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, Google Cloud Platform
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
