Data Science Engineer for Generative AI and Machine Learning

1 month ago


Delhi, Delhi, India Applicantz Full time

We are seeking an experienced Data Science Engineer to join our team at Applicantz. As a key member of our organization, you will play a vital role in developing and implementing cutting-edge machine learning models to drive business growth.

Estimated Salary: $150,000 - $200,000 per annum

Job Description

Our ideal candidate will have extensive experience in working with large datasets, programming languages such as Python, and expertise in machine learning algorithms. You will work closely with our cross-functional teams to design and implement data pipelines, develop and deploy machine learning models, and analyze results to inform business decisions.

Responsibilities include:

  • Designing and implementing data pipelines to collect, process, and store large datasets
  • Developing and deploying machine learning models using PyTorch and Scikit-Learn
  • Analyzing results to identify areas for improvement and optimize model performance
  • Collaborating with stakeholders to understand business requirements and develop solutions that meet their needs
Requirements

To be successful in this role, you will need:

  • 5+ years of experience in machine learning and data science
  • Strong programming skills in Python and familiarity with data engineering tools such as Spark and Hive
  • Experience working with large datasets and designing scalable data pipelines
  • Expertise in machine learning algorithms and ability to develop and deploy models in production
Benefits

As a valued member of our team, you can expect:

  • A competitive salary range of $150,000 - $200,000 per annum
  • A comprehensive benefits package including health insurance, retirement savings, and paid time off
  • Ongoing training and development opportunities to enhance your skills and knowledge
  • The chance to work on exciting projects and collaborate with a talented team of professionals

If you are passionate about data science and machine learning, and are looking for a challenging and rewarding role, we encourage you to apply today.


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