Jobs

Current Vacancies at Alfred and Victoria Associates


Alfred & Victoria Associates is one of Nigeria’s leading ICT solution based company. Our company offers a wide range of services which are in high demand of today’s emerging market. AVA has three major arms which have been streamlined to meet our customer's needs. We are recruiting to fill the position below:     Job Title: DeveOps Engineer (Machine Learning) Location: Lagos Department: Technology Reports To: Chief Technology Officer Job Description

  • We need skilled, talented and smart DevOps Engineer for Machine Learning to join our growing technology team. We are looking to hire developer who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.
Context:
  • Excellent people-relations skills.
  • Fast-paced work environment.
Job Duties and Responsibilities The DevOps Engineer (Machine Learning) will carry out these functions:
  • Spearhead the creation of new technology infrastructures and maintain configuration management and automation tools.
  • Work with the engineering team on tooling and infrastructure to support ML deployment.
  • Scale servers and cloud infrastructure to support resource need of our Machine Learning system.
  • Assist the development teams in the deployment and monitoring of applications based on technologies such as C#, Java, Python, Ruby, MySQL, Postgresql, Elasticsearch, Logstash, Filebeat, Kibana, and RabbitMQ.
  • Coaching the engineering development department personnel in the workings of reusable tools and patterns, for example, reusable deployment code for Jenkins, Octopus, Ansible, and Docker.
  • Keeping up with industry best practices and trends on behalf of the Automation/Dev Ops department and the larger engineering department.
Key Points:
  • Creation and deployment of technology infrastructure.
  • Application monitoring with the use of C#, Java, Python etc
  • Knowledge share based on Machine Learning.
Educational Qualifications, Certifications and Experience
  • First Degree in Computer Science, Systems Engineering, Mathematics, Statistics or other related field
  • Minimum of One- two (1-2) years working experience on Machine Learning in a fast paced and complex business settings.
Competencies:
  • Experience automating and managing large-scale infrastructure and have significant familiarity with Docker/Puppet/Chef/Ansible/Powershell DSC/Kubernetes.
  • Ability to work closely with other engineers, product managers and customer support. Must be highly analytical and effectively able to troubleshoot and prioritize needs, requirements and other issues.
  • Attention to details, decisiveness, good judgment, strong organization skills, good written communication skills.
  • The candidate will have had vast experience in systems automation, orchestration, deployment, and implementation.
  • Experience with Jenkins, NGINX, Apache, Bash, Powershell, IIS, Linux, C#, Java, Python, Ruby,MySQL, Postgresql, Elasticsearch, Logstash, Filebeat, Kibana and RabbitMQ.
Salary Very attractive.     Job Title: Product Manager Location: Lagos Position Type: Full Time Key Responsibilities Product Development:
  • Identify & explore new opportunities in the market for penetration.
  • Develop requirements documentation and roadmaps for product development.
  • Work on documents required for business development purposes such as product pitch documents.
  • Work with UAT on Testing, User Feedback.
  • Work on Merchant Acquisition Strategy and identify potentially attractive merchants to be signed.
  • Oversee Product Launch Strategy and work with MCC.
  • Develop, commission and operate software solutions/platforms.
  • Design a detailed UX interface to make sure features will work optimally for the customer.
  • Work with engineering to incorporate product components in the final product.
  • Collaborate with sales, business units to ensure that customer requirements are fully met.
  • Define the product pricing model and billing procedures.
  • Oversee business case modelling & pricing options.
Stakeholder Relationship Management:
  • Establish partnerships and relationships which are necessary for go to market plan and product development and management.
  • Hold regular status meetings with technology team and setting timelines for projects.
  • Meet with customers to identify product requirements.
Operations:
  • Meet with customer to clarify features and walk through product iterations in the course of development to ensure product development is on track to meet customer requirements.
  • Implement product changes, monitor product maturity and ensure steady growth.
  • Ensure successful integration of new product offerings.
  • Identify, capture, and resolve issues as they arise in collaboration with engineering.
  • Ensure development team is delivering product design updates and other improvements to scope and schedule.
  • Coordinate operational activities for running digital/technology campaigns.
  • Ensure technology team is delivering product design updates and other improvements to scope and schedule.
  • Manage product development and product life cycle 3.
Relationships Internal Relationships:
  • Technology Department
  • Business Units
  • MCC
External Relationships:
  • MNOs
  • Publishers & CPs
  • Brands, Agencies, and Business Clients
  • Partners & Vendors
Required Qualifications
  • University degree in Computer Science or Engineering, with a minimum of second class degree
  • PMP, Oracle and Java certification is an added advantage
Relevant Experience:
  • 3-5 years experience in a product management role in software development or related area.
Skills & Competencies:
  • Strong analytical background
  • Product Prototyping
  • Business Analysis
  • Product Development & Management (Go-To-Market Strategies)
  • Project Management
  • Requirement Gathering & Analysis
  • Negotiation & Interpersonal Skills
  • Client relationship management
  • Business Development
  • Technical Documentation
  • Excellent communication, interpersonal, and relationship-building skills
  • Experience in digital ad campaign management is essential - in a similar role either at an agency, publisher or ad network.
Salary Very attractive.     Job Title: Senior Data Scientist Location: Lagos Department: Technology Job Level: Senior/ Consultant Reports To: Chief Technology Officer Job Description
  • The incumbent will help discover the information hidden in vast amount of data and help make smarter decisions to deliver even better products.
  • The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
  • The Data Scientist synthesizes and leverages the business’s dataset and data to enhance the business’ capabilities for overall goal achievement.
  • He/she is instrumental in helping the business continue its evolution into an analytical and data-driven culture.
  • We are looking to hire someone who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.
Context:
  • Oversee the activities of the data team.
  • Analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
  • Design, develop, and implements data management systems of analytic frameworks for business data.
  • Highly Customer-centric and Service oriented.
  • Excellent people-relations skills.
  • Fast-paced work environment.
Job Duties & Responsibilities The Senior Data Scientist functions cover:
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
Key Points:
  • Ensure best practice is adopted in processes and techniques for statistical analysis and modelling as well as leading the roll out of Big Data capabilities.
  • Build effective work relationships and data-fuelled solutions that drive the business closer to its overall goals and objectives
  • Knowledge of basic programming language eg python
Educational Qualifications, Certifications and Experience
  • First Degree in a Statistics, Mathematics, Machine Learning, Economics and other related quantitative field
  • Minimum of four-five (4-5) years working experience within the data science capacity in a fast paced and complex business settings
  • Experience in data mining and predictive modelling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models.
  • Exceptional skills in the use of Ms Word, Ms Excel, PowerPoint, and Outlook, all necessary for the creation of both visually and verbally engaging reports and presentations, for management and key stakeholders.
Competencies:
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Great communication skills.
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills [Python, R]
  • Data-oriented personality.
Salary Very attractive. How To Apply Interested and qualified candidates should send their CV's to: [email protected]   Application Deadline 25th April, 2018.   Note: Any application received after this time will be automatically rejected.