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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in New Jersey? The most popular types of Machine Learning Remote jobs in New Jersey are:
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Machine Learning Intern Remote jobs near you
Associate Director/ Director - Client Partner (Banking)

Associate Director/ Director - Client Partner (Banking)

Tiger Analytics Inc.

Jersey City, NJ • Remote

Full-time

Posted 4 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

  • As a client partner, you will have overall responsibility for delivery, account management, client relationships, and account growth.
  • You will be responsible for demonstrating business value through solutions that help meet strategic, operational, and tactical objectives, and making executive presentations.
  • You will be responsible for scaling the pilots / POCs to a long-term transformative program and delivering continuous business value.
  • You will work with the client's business stakeholders to understand key business questions, challenges, and information needs, and help develop an analytics roadmap that identifies and prioritizes key analytics use cases for execution.
  • You will be collaborating with sales leaders (both new sales and account sales) to create the right POVs and proposals to help win new logos and drive growth in existing clients.
  • You will work on some of the latest data science applications to solve complex business problems in Consumer Product Goods (CPG) and Retail.
  • You will lead a team of data and analytics professionals and directly work with key client stakeholders to help define the business problem and determine solution requirements.

Requirements

  • 14-18 years experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large programs.
  • Experience managing large accounts and actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with CXO and VP / Director level stakeholders from the client's team and with internal remote teams to define business problems and construct solution approaches.
  • Knowledge of domains like Banking and Financial services will be highly preferred.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, leading in communicating client business problem context to the remote teams and effectively leveraging them in execution, while owning client presentation, project management, and expectation setting.
  • Open to travel (up to 50%) across the United States.
  • Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

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