Job description

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to build scalable AI systems that drive business value and enhance user experiences. DUTIES & RESPONSIBILITIES · Design and develop machine learning and deep learning models for real-world applications · Build, test, and deploy AI/ML pipelines in production environments · Collaborate with cross-functional teams to translate business needs into AI solutions · Optimize model performance, scalability, and reliability · Work with large datasets: preprocessing, feature engineering, and data validation · Implement APIs and integrate AI models into existing systems · Monitor model performance and retrain as needed · Stay up to date with the latest advancements in AI and machine learning REQUIRED SKILLS & QUALIFICATIONS · Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field · Strong programming skills in Python (and/or Java, C++) · Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) · Solid understanding of algorithms, data structures, and software engineering principles · Experience with data processing tools (e.g., Pandas, NumPy, SQL) · Familiarity with cloud platforms (AWS, Azure, or Google Cloud) · Knowledge of RESTful APIs and microservices architecture PREFERRED QUALIFICATIONS · Experience with NLP, computer vision, or generative AI · Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines) · Experience deploying models at scale in production environments · Knowledge of big data technologies (e.g., Spark, Hadoop) · Understanding of AI ethics and responsible AI practices · Problem-solving and analytical thinking · Strong communication and collaboration skills · Ability to work in a fast-paced, agile environment · Attention to detail and commitment to quality

Requirements

Must-haves

Design and develop machine learning and deep learning models for real-world applications
Build, test, and deploy AI/ML pipelines in production environments
Collaborate with cross-functional teams to translate business needs into AI solutions
Optimize model performance, scalability, and reliability
Work with large datasets: preprocessing, feature engineering, and data validation
Implement APIs and integrate AI models into existing systems
Monitor model performance and retrain as needed
Stay up to date with the latest advancements in AI and machine learning
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
Strong programming skills in Python (and/or Java, C++)
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Solid understanding of algorithms, data structures, and software engineering principles
Experience with data processing tools (e.g., Pandas, NumPy, SQL)
Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
Knowledge of RESTful APIs and microservices architecture

Nice-to-haves

Experience with NLP, computer vision, or generative AI
Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines)
Experience deploying models at scale in production environments
Knowledge of big data technologies (e.g., Spark, Hadoop)
Understanding of AI ethics and responsible AI practices
Problem-solving and analytical thinking
Strong communication and collaboration skills
Ability to work in a fast-paced, agile environment
Attention to detail and commitment to quality

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonjavasqlawsazuredockerkubernetesci/cdagile

Platform: clearcompany
Effort: medium

Benefits

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