Senior Android Engineer (ML DevOps)
- Trigyn Technologies
- 5 - 10 years
- Mumbai
- 11 hours ago
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Job Description
Position Summary
We are seeking an experienced Senior Android Engineer (ML DevOps) with a strong background in Android-based ML deployments to lead the integration and scaling of machine learning solutions across diverse domains. The ideal candidate will have hands-on experience deploying computer vision models, particularly ResNet and dlib, on Android devices. This role involves end-to-end ownership of ML pipelines, from model optimization and deployment to monitoring, asset management, and ensuring seamless production performance on Android platforms.
Key Responsibilities
ML Infrastructure & MLOps
- Design, implement, and manage scalable ML infrastructure to support diverse projects.
- Develop and maintain MLOps pipelines for continuous integration, delivery, and monitoring of ML models.
- Track and optimize model performance, implementing strategies for real-time improvements and scalability.
- Ensure robust version control, reproducibility, and governance for both ML models and datasets.
Android ML Deployment
- Implement model serving and asset management techniques (e.g., Android Asset Packs) to deploy ResNet and dlib-based models efficiently within Android applications.
- Collaborate with Android developers to integrate ML models into production apps with optimal inference performance.
- Develop and implement edge deployment strategies for achieving low-latency, high-accuracy performance on Android devices.
Collaboration & Stakeholder Engagement
- Work closely with data scientists, ML engineers, mobile developers, and product teams to align ML solutions with project objectives.
- Engage with stakeholders to gather requirements, provide technical recommendations, and deliver impactful ML-driven features.
- Contribute to internal knowledge-sharing, code reviews, and best practice improvements within the ML engineering team.
Required Qualifications
- Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience: 510 years of experience in developing and deploying machine learning models in production, including Android-based applications.
Technical Skills:
- Proficiency in Python, Java, and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn.
- Experience with MLOps tools, CI/CD platforms, and frameworks for model deployment, monitoring, and lifecycle management.
- Strong understanding of cloud services (AWS, Azure, GCP), containerization (Docker, Kubernetes), and mobile app integration workflows.
- Familiarity with feature store frameworks, data versioning tools, and model asset management strategies.
- Hands-on experience deploying ML models on Android, with proven skills in optimizing for device constraints and performance.
Preferred Qualifications
- Experience with edge ML deployment techniques and tools.
- Familiarity with data privacy, security, and compliance frameworks for AI deployments.
- Excellent problem-solving, debugging, and performance tuning skills.
- Strong verbal and written communication, with the ability to explain complex ML concepts to diverse audiences.
- Demonstrated ability to work both independently and collaboratively in fast-paced, outcome-driven environments.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps EngineerEmployement Type: Full timeContact Details:
Company: Trigyn TechnologiesLocation(s): Mumbai
Keyskills: ML Devops ResNet dlib Android Android Asset Packs
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Trigyn Technologies
Trigyn Technologies ltd Trigyn is an ISO 9001:2008 certified, and CMMI Level 5 assessed company. Trigyn Technologies is an IT Services Company that has been in business for more than 30 years. Trigyn provides IT Solutions, Consulting, Systems Integration, Managed Services, Software Development, ...
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