AI & Machine Learning Careers

Discover diverse Career Opportunities in AI & ML


Overview of Careers in AI & Machine Learning

The AI and Machine Learning sector is one of the fastest-growing fields in technology, transforming industries from healthcare to finance, entertainment to transportation. Professionals in this field design, develop, and deploy intelligent systems that can learn from data, make predictions, and automate complex tasks.

  • Key Areas: Natural Language Processing, Computer Vision, Deep Learning, Reinforcement Learning, Predictive Analytics, Neural Networks, AI Ethics, MLOps, and Generative AI.
  • Industry Impact: AI & ML professionals work on cutting-edge projects including autonomous vehicles, medical diagnosis systems, recommendation engines, fraud detection, chatbots, image recognition, and much more.

 Career Progression Path

Entry Level (0-2 years)
  • Junior ML Engineer
  • Data Analyst
  • AI Research Assistant
  • ML Intern
  • Focus: Learning fundamentals, data preprocessing, model training, basic algorithms.
Mid Level (2-5 years)
  • ML Engineer
  • Data Scientist
  • AI Developer
  • Computer Vision Engineer
  • Focus: Model optimization, production deployment, complex algorithms, team collaboration.

Senior Level (5-8 years)
  • Senior ML Engineer
  • Senior Data Scientist
  • AI Research Scientist
  • ML Architect
  • Focus: System architecture, research leadership, mentoring, strategic planning.
Lead/Principal (8+ years)
  • Principal ML Engineer
  • Lead Data Scientist
  • AI Director
  • VP of AI/ML
  • Focus: Organizational strategy, innovation, team building, cross-functional leadership.


General Requirements

Education
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field (minimum);
  • Master’s or PhD preferred for research and senior positions;
  • Strong foundation in linear algebra, calculus, probability, and statistics.
Technical Skills
  • Programming: Python, R, Java, C++, SQL;
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras;
  • Cloud Platforms: AWS, Google Cloud, Azure ML;
  • Big Data: Spark, Hadoop, distributed computing;
  • Version Control: Git, GitHub, MLflow.

Soft Skills
  • Strong analytical and problem-solving abilities;
  • Excellent communication for explaining complex concepts;
  • Collaboration and teamwork skills;
  • Continuous learning mindset;
  • Business acumen and strategic thinking.


Salary & Benefits

Vietnam
  • Entry Level: $12,000 – $24,000/year
  • Mid Level: $24,000 – $48,000/year
  • Senior Level: $48,000 – $80,000+/year
Asia-Pacific 
  • Entry Level: $30,000 – $60,000/year
  • Mid Level: $60,000 – $120,000/year
  • Senior Level: $120,000 – $200,000+/year
Global Market (US/EU)
  • Entry Level: $80,000 – $120,000/year
  • Mid Level: $120,000 – $180,000/year
  • Senior Level: $180,000 – $300,000+/year
Common Benefits
  • Stock options or equity in startups;
  • Performance bonuses (10-30% of base salary);
  • Health insurance and wellness programs;
  • Remote work flexibility;
  • Professional development budget;
  • Conference attendance and learning resources;
  • Relocation assistance for international roles.


Career Opportunities

Entry Level Positions
  • Junior Machine Learning Engineer: Build and train ML models, data preprocessing, model evaluation.
  • Data Analyst (AI Focus): Analyze datasets, create visualizations, support ML projects.
  • AI Research Assistant: Support research projects, literature review, experiment implementation.
Mid Level Positions
  • Machine Learning Engineer: Design and deploy ML systems, optimize models, production deployment.
  • Data Scientist: Extract insights from data, build predictive models, business analysis.
  • Computer Vision Engineer: Image processing, object detection, facial recognition systems.
  • NLP Engineer: Text analysis, chatbots, language models, sentiment analysis.
Senior Level Positions
  • Senior ML Engineer / Architect: System design, technical leadership, architecture decisions.
  • AI Research Scientist: Conduct original research, publish papers, advance AI techniques.
  • MLOps Engineer: Production ML pipelines, monitoring, deployment automation.
  • AI Product Manager: Product strategy, stakeholder management, AI roadmap planning.

Leadership Positions
  • Principal ML Engineer: Technical vision, cross-team collaboration, innovation leadership.
  • Director of AI/ML: Department management, strategy, budget, hiring.
  • VP of AI / Chief AI Officer: Executive leadership, company-wide AI strategy, board reporting


Leading AI & ML Companies

Vietnam
  • VinAI Research
  • FPT AI
  • Zalo AI
  • Viettel Cyberspace Center
  • VNG AI Lab
  • MISA AI
  • Tiki Labs
  • Momo AI
  • Shopee Vietnam
  • Grab Vietnam
AI Startups & Scale-ups
  • Hugging Face
  • Scale AI
  • DataRobot
  • UiPath
  • Snorkel AI
  • Cohere
  • Stability AI
  • Midjourney
  • Runway ML
Canadian AI Powerhouses
  • Element AI: Enterprise AI
  • Mila (Quebec AI Institute)
  • Vector Institute
  • Shopify ML
  • OpenText AI
  • Ada Support
  • Integrate.ai
  • Deep Genomics: Privacy-Preserving AI
  • Cohere: NLP Platform
  • DarwinAI: Explainable AI
Korean AI Leaders
  • Samsung AI Research
  • LG AI Research
  • Naver AI Lab
  • Kakao Brain
  • SK Telecom AI
  • Upstage AI
  • Scatter Lab
  • Lunit
Japan
  • Preferred Networks
  • Sony AI
  • Rakuten Institute of Technology
  • Toyota Research Institute
  • NTT Data
  • SoftBank Robotics
  • Hitachi AI Technology
  • Fujitsu AI Innovation
  • LINE Corporation
  • Mercari

China
  • Baidu AI
  • Alibaba DAMO Academy
  • Tencent AI Lab
  • ByteDance AI Lab
  • SenseTime
  • Megvii (Face++)
  • iFlytek
  • Horizon Robotics
  • 4Paradigm
  • Huawei AI
Singapore
  • Grab AI
  • Sea Group (Shopee AI)
  • Razer Fintech
  • Ninja Van
  • PatSnap
  • AI Singapore
  • Carousell
  • Zilingo
Australian AI Scene
  • Canva AI
  • Atlassian Intelligence
  • Autopilot
  • Harrison.ai
  • Flamingo AI
  • Complexica
  • CSIRO’s Data61
  • Baraja
UK AI Excellence
  • DeepMind
  • Stability AI
  • BenevolentAI
  • Graphcore
  • Improbable
  • FiveAI
  • Faculty AI
  • Babylon Health
  • Revolut ML
  • Darktrace
US AI Giants & Startups
  • OpenAI
  • Google AI / DeepMind
  • Meta AI (FAIR)
  • Microsoft Research AI
  • Amazon AI / AWS
  • Apple Machine Learning
  • NVIDIA AI
  • Anthropic
  • Scale AI
  • Databricks
  • Hugging Face
  • Cruise (GM)
  • Waymo (Alphabet)
  • Tesla Autopilot
  • Palantir
  • C3.ai


Apply for AI & ML Opportunities

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