Artificial Intelligence Engineer

2 weeks ago

Noida, India GEDU Services Full time

Position Overview:We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications.Key Responsibilities:- Design, develop, and deploy scalable AI/ML models and algorithms for real-time or batch processing applications.- Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products.- Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques.- Evaluate and optimize ML models for speed, accuracy, and scalability.- Maintain and improve existing ML infrastructure, pipelines, and toolkits.- Mentor junior developers and contribute to AI/ML best practices and standards.- Stay current with the latest research and developments in the AI/ML space.Required Skills and Qualifications:- 6+ years of experience in and deploying machine learning and AI solutions.- Strong programming skills in Python (with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.).- Solid understanding of machine learning algorithms, statistical modelling, data preprocessing, and feature engineering.- Experience in building and tuning deep learning models (CNNs, RNNs, Transformers, etc.).- Proficiency in working with cloud platforms (AWS, GCP, Azure) and ML Ops tools (MLflow, Kubeflow, etc.).- Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines.- Strong problem-solving skills and ability to translate business needs into technical solutions.- Familiarity with model explainability, bias mitigation, and responsible AI practices.- Experience in natural language processing (NLP), computer vision, or recommendation systems.- Familiarity with containerization and orchestration tools (Docker, Kubernetes).- Published papers or contributions to open-source ML/AI projects.Certifications (Good to have any)- Google Professional Machine Learning Engineer- Microsoft Certified: Azure AI Engineer Associate- AWS Certified Machine Learning – Specialty- TensorFlow Developer CertificateExperience:- 6+ years of experience in and deploying machine learning and AI solutions.Educational Qualification(s):- Bachelor’s in computer science, Machine Learning, Data Science, or a related field.To know our Privacy Policy, please click on the link below or copy paste the URL on your browser:

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