Resume Skills and Keywords for AI Engineer

An AI Engineer plays a critical role in designing, developing, and deploying intelligent solutions that leverage machine learning (ML), deep learning (DL), and natural language processing (NLP). They work with frameworks like TensorFlow and PyTorch to build scalable AI pipelines, often integrating models into production using MLOps practices. In domains such as fintech and healthtech, AI Engineers apply data-driven methods to solve real-world problems, optimize models for performance, and collaborate with cross-functional teams for impactful outcomes.

Skills required for an AI Engineer role

  • API Integration
  • Data Preprocessing
  • Data Visualization
  • Agile & Scrum
  • CI/CD
  • A/B Testing
  • Feature Engineering
  • MLOps
  • Project Management
  • Model Deployment
  • Team Coordination
  • NLP (Natural Language Processing)
  • Machine Learning Algorithms
  • Deep Learning
  • Python Programming

What recruiters look for in an AI Engineer resume:

  • Proven experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Hands-on projects using NLP, computer vision, or predictive modeling
  • Familiarity with MLOps tools for deployment and version control (e.g., Docker, MLflow)
  • Strong programming background in Python, SQL, and Java
  • Experience with cloud platforms such as AWS (EC2, S3, SageMaker)
  • Contributions to real-world applications or open-source projects

What can make your AI Engineer  resume stand out:

A strong summary that demonstrates your skills, experience, and background in AI Engineering

  • AI Engineer with 3+ years of experience in designing and deploying machine learning and deep learning solutions. Expertise in NLP, model optimization, and building scalable AI pipelines using Python, TensorFlow, and PyTorch. Known for delivering measurable impact across fintech and healthtech domains.

Targeted job description:

  • Build, train, and deploy ML/DL models using frameworks like TensorFlow and PyTorch
  • Develop and optimize NLP pipelines for classification and information extraction tasks
  • Integrate machine learning models with production APIs using FastAPI and Docker
  • Collaborate with cross-functional teams to align AI solutions with business needs
  • Perform feature engineering, A/B testing, and data preprocessing for model accuracy
  • Implement CI/CD pipelines and monitor performance using MLOps tools
  • Work on cloud environments like AWS for model deployment and scalability

Related academic background:

  • B.Tech in Computer Science | VIT University, Vellore
  • TensorFlow Developer Certificate – Google
  • AWS Certified Machine Learning Specialty
  • IBM Applied AI Professional Certificate – Coursera

Sample Resume of AI Engineer in Text Format

Rohan Mehta

AI Engineer

+919876543210 | support@resumod.co | Bengaluru, India

SUMMARY

AI Engineer with 3+ years of experience in designing and deploying machine learning and deep learning solutions. Expertise in NLP, model optimization, and building scalable AI pipelines using Python, TensorFlow, and PyTorch. Known for delivering measurable impact across fintech and healthtech domains.

SKILLS

API Integration | Data Preprocessing | Data Visualization | Agile & Scrum | CI/CD | A/B Testing | Feature Engineering | MLOps | Project Management | Model Deployment | Team Coordination

EMPLOYMENT HISTORY

AI Engineer  | Technova Solutions, Bengaluru, India | Feb 2022 - Present

  •  Built NLP pipelines for text classification, achieving over 89% accuracy on production data. 
  • Developed a fraud detection system using ensemble models, reducing false positives by 22%.
  •  Integrated ML models into APIs using FastAPI and Docker, deployed on AWS EC2. 
  • Collaborated with product and data teams to align AI solutions with business goals

Machine Learning Associate  | DataVerse Analytics, Pune, India | Jan 2021 - Jan 2022

  •  Developed ML models for churn prediction and user segmentation. 
  • Created data pipelines for training large datasets and automated evaluation metrics. 
  • Assisted in building and testing computer vision models for image classification tasks.

EDUCATION

B.Tech in Computer Science | VIT University, Vellore

Jan 2016 - Jan 2020

CGPA: 8.4/10

COURSES

  • TensorFlow Developer Certificate Google
  • AWS Certified Machine Learning Specialty
  • IBM Applied AI Professional Certificate Coursera

PROJECTS 

Resume Parser using spaCy & Regex  

  • Extracted structured information (skills, education, experience) from resumes. 
  • Achieved 93% extraction accuracy on 500+ sample resumes. Healthcare Diagnosis Chatbot
  • Built a conversational AI model using Rasa and deployed via web interface. 
  • Provided real-time health advice and escalated complex queries to physicians.

TECHNICAL SKILLS

  • Languages: Python, SQL, Java 
  • Machine Learning: TensorFlow, PyTorch, Scikit-learn 
  • NLP: spaCy, NLTK, HuggingFace Transformers 
  • Data Tools: Pandas, NumPy, Airflow, Spark
  • Deployment: Docker, FastAPI, AWS (SageMaker, EC2, S3) Version Control: Git, MLflow, DVC

ACHIEVEMENTS

  • Finalist – ZS Data Science Hackathon 2022
  • Published 8+ technical blogs on Medium (10K+ reads)