Data Science Lead for Machine Learning Lifecycle Management

3 weeks ago


Princeton, New Jersey, United States Futran Tech Solutions Pvt. Ltd. Full time
Job Title: Data Science Lead for Machine Learning Lifecycle Management

Location: Princeton, NJ (Remote option available)

Futran Tech Solutions Pvt. Ltd. is seeking an experienced Data Science Lead for Machine Learning Lifecycle Management to lead our machine learning efforts.

Job Description:

In this role, you will be responsible for developing and managing a robust machine learning pipeline that encompasses data collection, model selection, hyperparameter tuning, and deployment. Your primary focus will be on creating scalable and efficient data processing frameworks using technologies such as Hadoop, Spark, and AWS.

You will work closely with cross-functional teams to identify opportunities for process improvement and develop data-driven solutions that meet the needs of the business. Additionally, you will collaborate with data scientists and engineers to design, implement, and deploy ML models that align with the company's goals.

This position requires strong technical skills, excellent problem-solving abilities, and effective communication skills. You should have a passion for staying up-to-date with industry trends and best practices in AI and ML.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in machine learning engineering, software development, or related field.
  • Expertise in multiple programming languages including Python, PySpark, Scala, and others.
  • Knowledge of cloud computing platforms such as AWS.
  • Strong understanding of machine learning concepts, algorithms, and methodologies.
What We Offer:
  • A competitive salary of $130,000 - $160,000 per year based on experience.
  • A comprehensive benefits package including health insurance, retirement plan, and paid time off.
  • The opportunity to work with a talented team of professionals who share your passion for AI and ML.
  • Professional growth and development opportunities through training and education programs.


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