
Machine Learning Deep Learning
1 day ago
About the Role
We are seeking a passionate and skilled professional in Machine Learning, Deep Learning, and Data Science to join our growing team. The ideal candidate will work on building scalable AI/ML solutions, analyzing complex data, and contributing to innovative projects that drive business impact.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models for real-world applications.
- Collect, preprocess, and analyze structured and unstructured data.
- Build predictive and classification models, recommendation systems, and NLP/Computer Vision solutions.
- Collaborate with cross-functional teams (Data Engineers, Software Developers, Product Managers) to integrate models into production.
- Optimize model performance, scalability, and accuracy.
- Stay updated with the latest research and advancements in AI/ML/DL.
Required Skills & Qualifications
- Strong knowledge of Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
- Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.).
- Solid understanding of data structures, algorithms, and statistical methods.
- Hands-on experience with data visualization tools (Matplotlib, Seaborn, Power BI/Tableau a plus).
- Knowledge of cloud platforms (AWS, Azure, GCP) and deployment (Docker, Kubernetes) preferred.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Bachelors/Masters degree in Computer Science, Data Science, AI, or related field.
Good to Have
- Publications, research, or participation in Kaggle competitions.
- Experience with big data tools (Hadoop, Spark).
- Exposure to MLOps pipelines.
Perks & Benefits
- Competitive salary and performance-based incentives
- Exposure to cutting-edge AI/ML projects
- Learning & development support (certifications, workshops, conferences)
- Flexible work culture and collaborative team environmen
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