Machine Learning Engineer - Python (2-4 yrs)

Job Description :

Key Responsibilities :

- Design and implement efficient data annotation workflows, leveraging tools like Labelbox and AWS services.

- Automate data ingestion, preprocessing, annotation, and delivery processes.

- Integrate third-party annotation platforms (Labelbox, Hugging Face) using APIs and SDKs.

- Establish robust quality control systems, including automated checks and human-in-the-loop (HITL) processes.

- Ensure data accuracy and consistency throughout the annotation pipeline.

Qualifications :

Education :

- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

Experience :

- 2-5 years of experience as an ML Engineer, Data Engineer, or similar role.

- Proven experience in building end-to-end machine learning or data pipelines.

Technical Skills :

- Programming Languages : Proficiency in Python (mandatory) familiarity with Java or C++ is a plus.

- Cloud Platforms : Experience with AWS, Google Cloud, or Azure for deploying scalable pipelines.

- Annotation Tools : experience with platforms like Labelbox, SuperAnnotate, or similar.

- ML Frameworks : Knowledge of TensorFlow, PyTorch, or similar tools.

- Database Management : Proficiency in SQL, NoSQL, and managing structured/unstructured data.

- API Integration : Experience in building and consuming REST APIs.

Soft Skills :

- Problem-solving mindset with a focus on delivering high-quality solutions.

- Excellent communication skills to collaborate with non-technical stakeholders.

- A proactive attitude toward learning and adapting to new tools and challenges