Responsibilities and Duties
- Act as the Senior Machine Learning Engineer in Technology Team.
- Coordinate with external & internal partners as required to understand business requirements, plan and implement tasks required for the development of machine learning and deep learning sub-systems and products.
- Designing, developing and maintaining core system features, services and engines.
- Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product.
- Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility.
- Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
- Guide junior members of the team and assist them with design, development, test and implementation.
- Assist with implementation of MLOps and related practices to continually retrain and test assigned sub-systems and products.
- Own the overall assigned features and products.
Qualifications and Skills
- 5+ years’ experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop).
- 5+ years’ experience with OO design and common design pattern.
- 5+ years’ experience with data structures, algorithm design, problem solving, and complexity analysis.
- 3+ years’ experience developing cloud software services and an understanding of design for scalability, performance and reliability.
- Experience defining system architectures and exploring technical feasibility trade-offs.
- Experience optimizing for short term execution while planning for long term technical capabilities.
- Ability to prototype and evaluate applications and interaction methodologies.
- Ability to produce code that is fault-tolerant, efficient, and maintainable.
- Academic and/or industry experience with standard AI and ML techniques, NLU and scientific thinking.
- Experience working effectively with science, data processing, and software engineering teams.
- Ability and willingness to multi-task and learn new technologies quickly.
- Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.
- Excellent skills in machine learning engineering with Python: PyTorch, TensorFlow, Caffe, Pandas, SciPy, OpenCV, Scikit-Learn.
- Experience in : Predictive modelling, Recommendation systems, Translation engine, Conversational AI.
- Database: RDBMS DB like MariaDB / MySQL, Postgres, SQL and NoSQL DB like Elastic Search, MongoDB, Cassandra etc.
- Container Technologies: Kubernetes, Docker.
- System Admin: BASH, Git.
- Preferred engineering experiences: MLOps, MATLAB and Java.
- Cloud platform experience: Azure and AWS.
