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machine Learning Engineer


Job ID : 36772

Location : Chicago, IL

Company Name : Netbounce Placements

Job Type : Full-Time

Industry : Information Technology

Salary : $95000 - $120000  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Machine Learning Algorithms and Techniques: Understanding of supervised and unsupervised learning algorithms (e.g., linear regression, logistic regression, decision trees, SVM, clustering algorithms) Deep learning techniques (e.g., neural networks, CNNs,.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Job Description: We are seeking a talented and enthusiastic Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms.

Responsibilities:

  • Develop machine learning models and algorithms for solving business problems.
  • Work closely with data engineers to gather, preprocess, and analyze data.
  • Implement scalable and efficient solutions for model training and inference.
  • Collaborate with software engineers to integrate machine learning models into production systems.
  • Conduct experiments to evaluate model performance and optimize key metrics.
  • Stay current with advancements in machine learning and related fields.

Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field (Master's degree preferred).
  • 0-4 years of professional experience in machine learning or a related field.
  • Solid understanding of machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Familiarity with software development best practices (e.g., version control, testing).

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge projects in a collaborative environment.
  • Professional development and growth opportunities.

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