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Remote Machine Learning Engineer New Grad Jobs in New Jersey

Databricks

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Citizens

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Collaborate with data science and analytics teams to support machine learning, AI, and advanced ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

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Remote Machine Learning Engineer New Grad information

What does a remote machine learning engineer new grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer new grad?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in New Jersey?

The most popular types of Machine Learning Engineer New Grad jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Machine Learning Engineer New Grad jobs?

Cities in New Jersey with the most Remote Machine Learning Engineer New Grad job openings:

Remote Machine Learning Engineer New Grad jobs near you

Senior AI Engineer

Tiger Analytics Inc.

Jersey City, NJ • Remote

$109K - $149K/yr

Full-time

Re-posted 9 days ago

Job description

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.

The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.

Requirements

Key Responsibilities:

  • Design and implement AI algorithms and models to solve real-world problems.
  • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
  • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
  • Develop technical documentation as well as customer-facing documentation and presentations.
  • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings.

Qualifications:

  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production.
  • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure.
  • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions.
  • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with natural language processing (NLP) or computer vision applications.
  • Knowledge of MLOps principles and tools.
  • Familiarity with version control systems (e.g., Git) and Agile methodologies.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


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