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Intern AL/ML - BD&MDM

  • 위치
    • Bengaluru, Karnātaka
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202613210

설명

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Work Arrangement: This role is categorized as ONSITE , General Shift, 45 hours per week, 6-month duration. This means the successful candidate is expected to report to GM TCI office five times per week or other frequency dictated by the business.

The Role
We are seeking a highly motivated and curious AI/ML Intern to join our
engineering and manufacturing team. This role is ideal for a student who is passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical engineering and manufacturing problems. The intern will work with cross-functional teams to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes.

What You’ll Do

  • Support development and evaluation of AI/ML, analytics, and automation solutions for engineering and manufacturing use cases.

  • Work with engineers, domain experts, and data-focused teams to identify problem statements, gather requirements, and translate business needs into technical approaches.

  • Assist in collecting, cleaning, and analyzing structured and unstructured data to uncover trends, patterns, and improvement opportunities.

  • Build and test prototypes, proof of concepts, dashboards, or scripts that demonstrate the value of AI/ML in real business processes.

  • Support model development activities such as feature preparation, experimentation, validation, and performance tracking under guidance from the team.

  • Create clear documentation, presentations, and summaries to communicate findings, recommendations, and next steps to technical and non-technical stakeholders.

  • Research emerging AI/ML tools, methods, and best practices relevant to engineering, manufacturing, and digital transformation initiatives.

  • Collaborate in a fast-paced environment while demonstrating curiosity, learning agility, ownership, and strong teamwork.



Your Skills & Abilities (Required Qualifications)

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science.

  • Data Science, Artificial Intelligence, Mechanical Engineering, Industrial.

  • Engineering, Manufacturing Engineering, Statistics, or a related field.

  • Basic understanding of AI/ML concepts such as supervised learning, unsupervised learning, model evaluation, and data preprocessing.

  • Working knowledge of Python and familiarity with common data analysis libraries such as NumPy, Pandas, or similar tools.

  • Familiarity with data analysis, visualization, and reporting techniques.

  • Exposure to SQL, Power BI, or similar analytics and visualization tools is preferred.

  • Strong analytical thinking, problem-solving ability, and attention to detail.

  • Effective written and verbal communication skills and the ability to work with cross-functional teams.



What Will Give You A Competitive Edge (Preferred Qualifications)

  • Exposure to machine learning frameworks or platforms such as scikit-learn, TensorFlow, PyTorch, or cloud-based AI/ML tools.

  • Familiarity with manufacturing, engineering, plant operations, simulation,or industrial data use cases.

  • Experience through academic projects, internships, hackathons, or coursework in AI, machine learning, analytics, automation, or digitalproduct development.

  • Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations.



What Success Looks Like

  • Delivers high-quality analysis and prototype outputs on assigned work.

  • Demonstrates strong learning agility and curiosity in new tools and business problems.

  • Communicates ideas clearly and works effectively with stakeholders.

  • Contributes to practical use cases that support engineering and manufacturing efficiency, quality, or innovation.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.