Posted:Just now|
Platform:
Work from Office
Full Time
We are seeking an experienced AI/ML Developer with a strong foundation in machine learning, deep learning, and coding. The ideal candidate will have a proven track record of contributing to AI/ML projects, with experience in designing, developing, and deploying ML models. A solid understanding of Generative AI (GenAI) is essential, as you will help drive innovative solutions using GenAI techniques to solve real-world challenges.
- Design, develop, and deploy machine learning and deep learning models for various projects.
- Collaborate with cross-functional teams to define project requirements and deliver AI/ML solutions that meet business needs.
- Develop and maintain data pipelines, preprocessing workflows, and feature engineering to support model development.
- Optimize and tune models to improve accuracy, efficiency, and scalability in production.
- Implement best practices for model evaluation, testing, and version control.
- Research and integrate Generative AI (GenAI) approaches to enhance existing models and create novel applications.
- Design and execute experiments to evaluate model performance and optimize algorithms for maximum efficiency.
- Develop and deploy production-grade machine learning models in cloud-based and on-prem platforms.
- Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in data science methodologies and tools.
- Foundational Knowledge: Strong grasp of machine learning, deep learning, and AI principles. Understanding of common ML algorithms, DL architectures (CNNs, RNNs, transformers), and the ML lifecycle.
- Programming & Coding: Proficient in Python and familiar with frameworks like TensorFlow, PyTorch, Scikit-Learn, etc. Experience with libraries for data manipulation, such as Pandas and NumPy.
- ML/DL Project Experience: Demonstrated experience in developing and deploying machine learning and deep learning models, handling data preparation, model selection, and tuning.
- Generative AI Knowledge: Familiarity with GenAI concepts, techniques like GANs, VAEs, or LLMs, and an understanding of potential applications in business contexts.
- Problem Solving & Innovation: Ability to translate business needs into technical requirements and innovative AI solutions.
- Collaboration: Strong communication skills to work effectively with other developers, data scientists, and stakeholders.
- Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools for model deployment and monitoring.
- Knowledge of NLP, computer vision, or other specialized AI domains.
- Understanding of version control systems like Git and containerization tools like Docker.
If you are passionate about AI/ML and eager to contribute to cutting-edge projects that incorporate GenAI, we invite you to apply and become part of our innovative team!
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