As a Machine Learning Engineer, you will be responsible for building up the infrastructure to support the data collection and analysis process.

Duties/Responsibilities

• Identifies, designs, and develops AI and ML solutions that can improve productivity in areas such as processes and data analytics.
• Assists in the full engineering life cycle of AI and ML development (i.e., Design, develop, test, release, and sustainment).
• Applies models and solutions on a variety of data types and formats (i.e., structured, unstructured, databases, scanned documents, typed and handwritten text, and various spoken languages).
• Identifies and integrates COTs and custom-built applications into existing systems to solve technical issues.

• Assists in designing, developing, and deploying tools that wrap the solutions into applications that allow non-technical personnel to utilize the applications.
• Develop and execute machine learning models.
• Develop and implement machine learning infrastructure.
• Develop automation tools to enable machine learning.
• Work in close collaboration with other team members using a wide range of technologies.

• Run machine learning tests.
• Solve technical problems.

Required Skills/Abilities:

• Has experience and a depth of knowledge with AI, ML, data mining and data analytics
• Has experience utilizing tools and algorithms for Natural Language Processing solutions and platforms.
• Has experience with Machine Learning and deep learning libraries, platforms, and algorithms.
• Has an understanding and experience on how to explain and present these highly technical

solutions to non-technical personnel.

• Excellent organizational skills and attention to detail.
• Excellent written and verbal communication skills.

• Ability to communicate effectively while leading and mentoring a team.
• Strong presentation skills
• Excellent problem-solving skills

Personal Characteristics:

Artificial Intelligence/Machine Learning Engineer should have a high degree of professional credibility, organizational presence, and demonstrated skill/ability in partnering effectively at all levels in the organization. In addition, it is expected that the successful candidate will have the following personal attributes:

• A self-starter, confident in his/her abilities, self-motivated and able to work effectively with little supervision.
• A high energy, results-oriented individual who can make a difference; an individual who takes initiative, makes things happen, accepts accountability, and has a “can do” attitude; has a sense of urgency.
• A passion for success and willingness to go above and beyond to accomplish goals.
• Excellent oral and written communication skills, plus the ability to communicate with a wide range of constituents.

• Creative and flexible in attitude and style to adapt to new situations in a rapidly changing, dynamic environment.
• A strong value system, unquestioned integrity, and good listening skills.
• Proven ability to effectively interact, communicate and consult with senior level leaders on a routine basis.

Education and Experience:

• Master Degree preferred in computer science or closely related field

• Should be very analytical and detail oriented, self-sufficient and a team player
• Some familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes
• Excellent verbal and written communication skills
• Familiar using Git for source control
• Solid Python, java, javascript or similar language background

• Experience with deep learning frameworks
• Strong experience in programming and statistic