Machine Learning Engineer - Python/ETL (3-10 yrs)

Role & Responsibilities :

About the Role :

We are seeking a skilled and motivated Machine Learning Engineer to join our innovative Apra Labs team. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes.

Responsibilities :

- Develop, train, and deploy machine learning models for various applications such as detection/classification, clustering, and recommendation systems.

- Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets.

- Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions.

- Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation.

- Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud.

- Implement and maintain model monitoring systems to track performance and ensure reliability.

- Stay updated with the latest advancements in machine learning, deep learning, and AI technologies.

- Contribute to code reviews, best practices, and continuous improvement processes within the team.

Ideal Candidate :

- Demonstrable skills in owning Machine Learning projects in the past.

- Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.

- Hands-on experience of YOLO/ImageNet/Bytetrack or similar models.

- Strong understanding of statistical concepts, data analysis, and data visualization.

- Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage.

- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.

- Working knowledge of SQL and NoSQL databases.

- Basic knowledge of REST/GRPC and serving Machine Learning models.

- Experience with Flask/Django is a plus.

- Experience with OOP & C++ is a plus.

- Good understanding of version control systems like git.

- Excellent problem-solving skills and the ability to work in an Agile development environment.

Preferred Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

- 3+ years of experience in machine learning and AI projects.

- Experience with computer vision and deep learning frameworks.

- Strong communication and collaboration skills.