Artificial Intelligence Engineer

4 days 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.

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