Artificial Intelligence Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy AI/ML models for real-world applications.
• check_circle Analyze large datasets and extract actionable insights.
• check_circle Collaborate with Data Scientists, Software Engineers, and Product teams.
• check_circle Optimize models for performance, scalability, and accuracy.
• check_circle Implement AI solutions using machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• check_circle Develop APIs and services to integrate AI models into applications.
• check_circle Monitor AI system performance and maintain models in production.
• check_circle Stay updated with emerging AI technologies and best practices.
• check_circle Strong programming skills in Python, Java, or R.
• check_circle Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• check_circle Knowledge of NLP, computer vision, or deep learning techniques.
• check_circle Familiarity with data preprocessing, feature engineering, and model evaluation.
• check_circle Experience with cloud platforms (AWS, Azure, GCP) for AI workloads.
• check_circle Understanding of CI/CD pipelines and deployment of ML models.
• check_circle Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• check_circle [X+] years of experience in AI, ML, or Data Science roles.
• check_circle Strong analytical and problem-solving abilities.
• check_circle Excellent collaboration and communication skills.
• check_circle Ability to work independently and in cross-functional teams.
• check_circle Experience with MLOps, model monitoring, and drift detection.
• check_circle Knowledge of big data tools (Spark, Hadoop).
• check_circle Exposure to reinforcement learning or generative AI.
• check_circle AI certifications or published research in AI/ML.

Benefits

• check_circle Competitive salary and performance-based bonuses.
• check_circle Health, dental, and vision insurance.
• check_circle Flexible work hours and remote/hybrid options.
• check_circle Career growth, learning opportunities, and certifications.
• check_circle Collaborative and innovation-driven AI culture.