ML Engineer (Full-time, Onsite/Remote)

Job Requirements

• 3-5 years of experience as a Data Scientist/ML Engineer.
• Hands-on development experience using Python and various libraries related to data science/analytics framework, and Text/String processing libraries.
• Hands-on development experience using Python and various libraries related to data science/analytics framework, and Text/String processing libraries.
• Experience in various machine learning libraries- Tensor Flow, scikit-learn, PyTorch, ML.NET etc.
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop/Spark).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.). Experienced with Natural Language Processing and various libraries.
• Knowledge of model deployment and Cloud service such as AWS, Azure, GCP etc.
• Strong practical experience in understanding business process, capturing complex client business requirements, develop and propose architecture/designs to clients, develop detail features/requirements and perform development/test.
• Problem-solving aptitude with analytical mind and business acumen.
• Strong in verbal and written communication.

Job Responsibilities

• Responsible to understand existing solution architecture/framework, ability to work with clients around the globe to develop new requirement.
• Propose solutions and strategies to business challenges.
• Identify valuable data sources and automate data collection processes.
• Undertake preprocessing of structured and unstructured data to discover trends and patterns.
• Build custom predictive models and machine-learning algorithms.
• Deploy ML model and solution on cloud/local server.
• May require some travels (domestic, international).

Qualifications

• A degree in computer science engineering, or equivalent technical degree.
• Any data science certification will be a plus.

Nice to have

• Working experience in development projects and maintaining relationship with international clients.
• Working experience in Agile application development methodology.