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 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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