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Artificial Intelligence Engineer Trainee Jobs in New York

M2S Group

Artificial Intelligence Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise. What You'll Do * Design ...

Appvion, LLC

Artificial Intelligence Architect

New York, NY · On-site

$69.75 - $89.75/hr

You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise. What You'll Do * Design ...

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Artificial Intelligence Engineer Trainee information

What does an artificial intelligence engineer trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer trainee?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by artificial intelligence engineer trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.

How to get a job in artificial intelligence with no experience?

To get a job as an Artificial Intelligence Engineer Trainee with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as machine learning and data analysis, and complete online courses or certifications. Gaining hands-on experience through personal projects, internships, or contributing to open-source AI projects can also improve your chances of entry-level employment.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in New York?

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For Artificial Intelligence Engineer Trainee jobs in New York, the most frequently searched job titles are:

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Artificial Intelligence Engineer Trainee jobs near you

Artificial Intelligence Engineer

Charter Global, Inc.

Manhattan, NY • On-site

Other

Posted 3 days ago

New

Job description

Job Title: AI Engineer 

Location: Hybrid 2 days onsite per week in NYC, NY

Duration: 4 months+ contract with a very strong possibility of extension

Hours per week: 45

Job Description:

  • We are seeking a skilled and enthusiastic technologist to join our global central infrastructure data integration engineering team.
  • The successful candidate will be responsible for the engineering, automation, integration, and support of the client's data virtualization, data analytics, and test data management platforms. This includes developing and maintaining self-service capabilities and engineering tooling that enable secure, scalable, and seamless platform adoption across the Firm. Responsibilities will also include troubleshooting and escalation management, platform monitoring and performance tuning, operational automation, establishment of engineering best practices, and support for user onboarding and enablement activities.
  • The role offers opportunities to evaluate emerging technologies, perform proof-of-concept initiatives, and help shape the Firm's data integration and platform engineering strategy. The candidate will also contribute to the successful deployment and integration of vendor products within the client’s complex enterprise environment, ensuring alignment with security, operational, scalability, and governance requirements.
  • The ideal candidate is a strong infrastructure engineer and software developer with hands-on experience building custom engineering solutions and automating operational workflows. They possess solid infrastructure fundamentals, strong analytical and problem-solving skills, a pragmatic engineering mindset, and proficiency in Python, Linux, and modern software delivery practices.

Required Skills:

  • At least 8 years of hands-on experience in a similar system infrastructure engineer / developer role
  • At least 5 years of software developer experience with strong fundamentals in distributed system design, development, and deployment
  • Proficiency in Python and Unix shell scripting
  • Strong core infrastructure fundamentals (OS, networking, storage, virtualization, authentication/authorization, APIs, etc.)
  • Comfortable working within Agile/DevOps environments, with hands-on experience using Git, GitHub, Bitbucket, Jira, and related software delivery tooling
  • Working knowledge of modern AI-assisted engineering tools (e.g., GitHub Copilot, Microsoft 365 Copilot, Amp, Claude Code, or similar) and the ability to leverage them effectively and responsibly to improve engineering productivity
  • Working knowledge of one or more enterprise data, analytics, database, or messaging platforms such as Snowflake, Databricks, Kafka, PostgreSQL, MongoDB, MSSQL, Redis, Hadoop, Greenplum, Sybase ASE, DB2 UDB, or MQSeries
  • Strong analytical thinking, sound engineering judgment, and a practical, common-sense approach to problem solving; able to troubleshoot and resolve complex technical issues across multiple technology domains
  • A self-starter with the ability to work effectively both independently and as part of a team
  • Excellent verbal and written communication skills.

Desired Skills:

  • Experience integrating, hardening, and operationalizing third-party/vendor platforms within complex enterprise environments, including alignment with security, authentication, networking, monitoring, automation, and governance standards through automation, tooling, and custom engineering solutions
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Familiarity with public cloud platforms, cloud-native architectures, and associated security, governance, and compliance principles
  • Exposure to Infrastructure-as-Code and automation frameworks such as Ansible, Terraform, or equivalent tools
  • Experience designing, deploying, and supporting applications in large-scale, distributed, and highly available environments
  • Experience with system performance analysis, capacity planning, troubleshooting, and performance tuning
  • Working knowledge of one or more data virtualization, test data management, data masking, ETL, analytics, or data engineering platforms such as Denodo, Snowflake, Delphix, Informatica, Dataiku, Alteryx, Talend, or similar technologies

Best Regards,

-------

David Roy | #LI-DR1 Accounts Manager – US Staffing | Charter Global Inc. |    

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