About the role

Dogma Group is looking for an AI Engineer to work on AI applications and assist the team to turn business questions into technical analysis effectively and provide meaningful recommendations.

Experimentation is at the core of what you do. This is a unique hybrid role that will focus on your knowledge of data infrastructure and your ability to drive insights.

Responsibilities:

• Research, develop, evaluate, and optimize various Machine Learning and Deep learning models for different problems.
• Constantly ingest research papers, find, and implement ways to take what is innovative, and write production code to apply it to our goals.
• Build, train, evaluate, test, and deploy Machine Learning models.
• Constantly analyze where our current methods are falling short and devise and implement ways to improve and iterate.
• Prepare, draft, and review software documentation and project reports to meet internal requirements.
• Design and develop scalable solutions using AI tools and Machine learning Models.
• Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems,
• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing

Required skills/Competencies:

• Minimum of 3 years of relevant work experience
• Proven work experience in Natural Language Processing and Computer Vision
• Ability to work in collaboration with team members.
• Degree in Computer Science, Data Science, Machine Learning, or any other related field
• Familiar with mathematical concepts like Linear Algebra, Probability and Statistics, and Calculus
• Experience with any machine/deep learning frameworks like TensorFlow, Keras, and PyTorch
• Proficiency in Python and related packages like NumPy, Scikit-learn, OpenCV, matplotlib, seaborn, etc.
• Must have good Object-Oriented Programing & logical analysis skills in Python
• Good Grasp on programming language and concepts such as Python + OOP + SOLID, Data Structures and Algorithms, RESTful APIs, and familiar with Software Architecture Design
• Good grasp of software tools and platforms such as Git, Conda, PIP, Jupyter, Docker, and familiar with cloud platforms like Azure
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system
• Strong communication skills and value building strong relationships with colleagues and partners.