Machine Learning Engineer

To improve current or new processes, design and develop new methodologies, quantitative models, analysis, and commentary (as applicable). Maintain current independent analysis and product performance standards. Work internally with different departments to develop new concepts and expand the scope of existing products.

• Data handling, data processing and programming
• Support delivery of new or enhanced capabilities by defining requirements and/or leading projects
• Translate business needs into solution requirements. Write functional and non-functional specifications
• Propose and implement improvements to products and processes
• Develop automated solutions for sourcing/loading Transcripts data into database
• Analyze transcriptions with the help of machine learning
• Build extraction solutions based on different document formats
• Develop, improve, and run quantitative models
• Generate solutions through machine learning for core processes
• Work with business, content, and product groups for large-scale analytics problems
• Build POCs, visualizations and pipeline tools for product design and development
• Work with development groups for deployment of analytics solutions
• Interact with other internal teams as needed, with supervision.
• Maintain process documentation
• Testing and validation of tools and processes

Knowledge & Skill:

• Extensive experience programming in Python to a production standard
• Experience in AI / ML Technology implementation
• Experience with formal AI/ML system evaluation including curating evaluation datasets, developing performance measures and analysing results
• Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms.
• Proven understanding of statistical concepts
• Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas
• Proficient with anyone of the deep learning frameworks like PyTorch, TensorFlow, etc.
• Apply cloud technologies such as Azure and AWS for data processing and storage.
• Strong understanding of Robotic Process Automation
• . Develop skills in web scraping, working on audio and transcripts to deliver comprehensive data solutions.
• Strong Problem-solving proficiency and algorithmic thinking
• Proven understanding of relational database and SQL skills.
• Good understanding of REST API architecture and containers (Kubernetes or Docker).
• Ability to handle large quantities of data
• Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
• Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other customers

Qualification

• Bachelors or equivalent experience in Engineering or Higher education in Statistics, Mathematics or related quantitative subject area with Data science certification

Desired Skills:

• 3+ years of Data Science project experience is helpful