Artificial Intelligence Engineer

4 days ago

gautam buddha nagar, 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 Certificate Experience: 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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