Intern, Continuous Improvement & Ai - It Job at Bombardier (Dorval)

Continuous Improvement Manager

We’re seeking a Continuous Improvement Manager to drive operational excellence a...

Location

United States , Columbus, OH

Salary:

120350.00 - 144420.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Supply Chain Management, Industrial Engineering, Business, or related field
5+ years of experience in warehouse operations, transportation, or supply chain process improvement, ideally in high-volume e-commerce or 3PL environments
Proven track record implementing or leading Lean, Six Sigma (Green or Black Belt preferred), or similar continuous improvement frameworks
Advanced proficiency in Excel and data visualization tools (Power BI, Tableau, Sigma)
experience with SQL a plus
Experience leveraging AI-enabled analytics and productivity tools
Experience with WMS (preferrable HighJump), TMS, OMS, and parcel shipping systems
Involvement in automation or system implementation preferred
Skilled at managing complex projects through RACI or DMAIC frameworks
Able to engage and influence stakeholders across all levels of the organization

Job Responsibility

Lead Network Wide CI initiatives across inbound freight, fulfillment operations, and outbound parcel shipping
Redesign vendor-to-dock processes to reduce lead time, improve visibility, and optimize transportation spend
Partner with internal teams and parcel carriers to improve cost per shipment, delivery performance, and network efficiency
Train and empower operations teams on continuous improvement tools and best practices
Define, track, and analyze KPIs (e.g., receiving productivity, dwell times, parcel cost per order, delivery speed, cycle times)
Partner with leadership and frontline teams to implement new processes and technologies
Work closely with Supply Chain, Transportation, Engineering, IT, and Product teams
Partner with internal stakeholders to evaluate or deploy enhancements to WMS, TMS, and shipping platforms
Plan, execute, and oversee improvement projects, ensuring their timely delivery within budget

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Automation & AI Intern

We are looking for a motivated and curious Automation & AI Intern to join our te...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

A current student of the fields in Computer Science
Familiar with the basics of Python or JavaScript/TypeScript
Interested in low-code platforms and automation (experience with n8n, Power Automate, ServiceNow, or Power BI is a plus)
Curious about GenAI and modern AI agents, with a willingness to experiment and learn quickly
Familiar with Git/GitHub and cloud platforms (Azure, AWS, GCP) – considered an advantage
Equipped with strong communication and teamwork skills, able to document and share findings clearly
Full of energy, eagerness to learn, and drive to explore the future of automation and AI

Job Responsibility

Support the team in building and testing automation solutions using low-code platforms (e.g., n8n, Microsoft Copilot Studio, ServiceNow, KNIME)
Assist in running proof-of-concepts (PoCs) for AI/agent-based automation under the guidance of senior developers
Proactively identify and interpret application usage patterns within Google Analytics, formulating data-driven recommendations to drive continuous application improvement
Design, build, and maintain robust Power BI dashboards to visualize and monitor data related to onboarding efficiency, data completeness, and overall data quality
Explore new AI and automation technologies (e.g., GenAI, agent frameworks, Model Context Protocol) and prepare short research notes or demos
Help maintain automation platforms by contributing to basic DevOps tasks (CI/CD pipelines, monitoring, documentation)
Document findings, prepare presentations, and contribute ideas to innovation discussions

What we offer

Employment based on a civil-law contract (minimum 6 months)
Hybrid work mode with a modern office in Warsaw
Flexible working hours and full support during your exam sessions
Practical knowledge sharing within international team
Learning and mentoring support from best Experts in the field
A dynamic work environment with a friendly atmosphere
Prepaid Lunch Card Pluxee
Special offer for MultiSport Student
5 days of paid leave after 6 months of work as an intern

Parttime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Software Engineer - Automation

An Automation Engineer designs, develops, and maintains internal tooling solutio...

Location

Salary:

Not provided

Paymentology

Expiration Date

Until further notice

Requirements

3-5 years of experience in software development, automation engineering, internal tooling development, or AI integration
Experience working cross-functionally with Product, Engineering, and Support teams to deliver automation initiatives
Proven track record of optimising workflows, reducing manual processes, and improving operational efficiency
Interest and personal exploration of latest AI, Agent, MCP and other related technologies
Proficiency in Python and/or Node.js for automation and software development
Familiarity in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL)
Experience with server-side frameworks such as Express.js (Node.js), Django/Flask (Python), or Spring Boot (Java)
Proficiency in scripting languages (e.g. Bash, Python) for automation and integration tasks
Familiarity with AI frameworks (A2A, ADK, LangGraph, LangChain) and AI platforms, APIs, and tooling
Good understanding of integrating AI-driven capabilities into existing systems and workflows

Job Responsibility

Build and maintain automation solutions: Develop, maintain, and improve internal tooling solutions that streamline operational processes
Integrate SaaS platforms (e.g. HubSpot, Zendesk) with internal systems using APIs and web technologies
Leverage workflow automation platforms (e.g. n8n) to rapidly design, prototype, and deploy automation flows
Determine when low-code/no-code automation is appropriate versus when custom-built solutions are required
Develop and maintain clear documentation for tools, integrations, and automation processes
Troubleshoot and resolve technical issues related to integrations and automated workflows
Apply AI and intelligent automation: Evaluate where AI-driven solutions can meaningfully improve workflows, tooling, and internal processes
Integrate AI services and platforms (e.g. LLMs, classification, summarisation, routing, decision support) into existing tools and automation pipelines
Design automation workflows that incorporate AI responsibly, with appropriate safeguards, observability, and human-in-the-loop controls
Stay informed on emerging AI capabilities and assess their practical applicability to internal use cases

Fulltime

Go-to-Market Systems Lead, AI Native

Universal Ads, a part of Comcast, enables any brand, of any size, to seamlessly ...

Location

United States , New York

Salary:

96074.94 - 192149.88 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

5–10 years in GTM Systems, GTM Engineering, Growth Engineering, RevOps Engineering, or similar roles
Proven experience building automation that drove measurable commercial impact
Comfort writing scripts, working with APIs, and deploying workflow tools
Strong product sense - you understand user flows and commercial incentives
Highly curious and solution-oriented
Scrappy, hands-on builder mentality
Able to lead directionally without managing a large team
Desire to build and steer a high-impact function at a growing business
Bachelor's Degree preferred
7-10 Years relevant work experience

Job Responsibility

Identify highest-impact automation opportunities across Growth, Sales, CS, and Product/GTM intersection
Audit GTM workflows and perform gap analysis
Pinpoint friction, manual work, and latency
Prioritize automation initiatives based on revenue or efficiency impact
Author clear architecture documentation
Build and deploy automation systems including AI-powered outbound workflows, lead enrichment and scoring systems, creative review and QA automation, fraud detection and risk scoring tools, CRM-triggered automations, agentic performance insight workflows, internal productivity tools
Inject AI effectively across the revenue org
Implement LLM-driven workflows
Create agents, automations and artifacts
Continuously evaluate emerging tools

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Bonus
Commission for sales positions

Fulltime

Internal Airtable Solution Architect

Join the Airtable for Airtable team as an Internal Solutions Architect and play ...

Location

United States

Salary:

149000.00 - 193600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Experienced Airtable builder (8+ years) with integration development and/or hands-on technical operations background
On the cutting edge of all things AI, with proven experience implementing AI into business workflows
Skilled in gathering user requirements, developing custom business solutions, and managing distributed systems
Proficient in database design best practices and project management
Demonstrated success working in cross-functional teams and customer-facing environments
Strong systems thinker with the ability to navigate complexity and prioritize effectively
Exceptional visual, written, and verbal communication skills
Experienced in creating video content or demo materials and delivering training or enablement
Familiar with modern software development lifecycle practices (Scrum, Kanban, Lean, or other agile methodologies)
Capable of writing shell, Python, or JavaScript code to interface with APIs and set up automation

Job Responsibility

Build, own, and maintain critical internal business applications in your first year
Design and implement AI-first solutions to drive operational efficiency and reduce software costs
Create and deliver demo bundles and sales assets for each application
Develop and showcase at least one new AI use case per month within your applications
Lead cross-functional projects, collaborating with stakeholders to gather requirements and deliver impactful solutions
Train and up-level internal teams on Airtable best practices and advanced features
Provide product and design feedback to improve Airtable’s offerings
Develop internal and external demo materials, including video content
Deepen operational understanding of supported business processes and drive continuous improvement

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior AI Solutions Engineer

The Senior AI Solutions Engineer at NTT DATA is responsible for developing and d...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Advanced demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Advanced expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Advanced demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Advanced demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Advanced experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Advanced demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Advanced proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Advanced experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Actively participating in identifying high-value use cases, assessing solution feasibility, prototyping innovative ideas, and delivering successful pilot projects
Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive
Part of a Global Top Employer with experts in more than 50 countries

Fulltime

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Intern, Continuous Improvement & Ai - It

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