ML Developer

We are looking for an experienced Machine Learning Developer with 4-6 years of hands-on experience. The ideal candidate will have expertise with YoLo models, TensorFlow, and Python, as well as experience in training models, creating API endpoints, and optimizing ML solutions. This role is primarily hands-on, with 80% focus on technical work and 20% on leadership and team management.

Key Responsibilities:
- Develop, train, and optimize machine learning models for object detection and categorization.
- Create and maintain APIs for deploying ML models in production.
- Collaborate with cross-functional teams to translate business requirements into ML solutions.
- Implement and evaluate algorithms for object detection and categorization.
- Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy.
- Stay updated with advancements in machine learning, deep learning, and AI technologies.
- Troubleshoot and resolve issues related to model performance and deployment.
- Document and present findings, methodologies, and results to both technical and non-technical stakeholders.

Requirements:
- Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or a related field.
- 4-6 years of hands-on experience with complete machine learning life-cycle projects.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Experience in developing and deploying APIs for ML models.
- Strong understanding of algorithms for object detection and categorization.

Preferred Qualifications:
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with data annotation tools and techniques for object detection.
- Knowledge of natural language processing (NLP) techniques.
- Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Experience working in Scrum teams and pursuing collective team goals.

Skills : - ML, YoLo models, TensorFlow, Python