Artificial Intelligence Engineer at Elizabeth Maddeux

Summmary

• Our Client is looking for an experienced artificial intelligence engineer to join their team using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation.
• The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions.

Objectives and Job Responsibilities

• Develop, programand trainthe complex networks of algorithms that make up AI so that they can function like a human brain
• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation

Job Requirements

• B.Sc in Computer Science, Engineering, Data Science or other related fields
• Atleast 4 years experience in similar role
• First hand experience with building AI models
• Expertise in programming languages such as Python, R, Java, Scala, TypeScript, and C++, Cognitive computing, Expert Systems, Drools, Common Lisp and Prolog
• Extensive knowledge of data analytics, probability, statistics, calculus, and linear algebra
• Understanding of AI models such as Naive Bayes, linear discriminant analysis, Hidden Markov, and Gaussian mixture models.
• Familiarity with big data technologies such as Hadoop, Apache Spark, Cassandra, and MongoDB
• Proficiency in machine learning algorithms and frameworks such as KNN, linear regression, Naive Bayes, Keras, PyTorch, and Theano
• Strong communication skills
• Problem-solving and decision-making abilities
• Critical thinking skills
• Strong leadership skills.

Salary / Condition

• N700,000 - N1,200,000 monthly.
• Role is fully remote and oncontract basis (3-6 months)