Engineer- Digital
3 weeks ago
Responsibilities
(how we will measure success)Collaborate with cross-functional teams to understand business requirements, identify technical solutions, and architect scalable and robust digital and AI systems.Design and develop software applications, algorithms, and models utilizing advanced AI techniques such as machine learning, natural language processing, computer vision, and predictive analytics.Implement and optimize codebase for performance, reliability, and maintainability, following best practices and coding standards.Conduct thorough testing, debugging, and troubleshooting of digital and AI solutions to ensure quality and functionality meet project requirements.Provide technical guidance and mentorship to junior engineers, fostering their professional growth and development.Stay updated on emerging technologies, industry trends, and best practices in digital and AI, and actively contribute to the company's knowledge base and innovation initiatives.Collaborate with stakeholders to define project milestones, timelines, and deliverables, and communicate technical concepts effectively to non-technical audiences.Contribute to the continuous improvement of development processes, tools, and methodologies to enhance productivity and efficiency.Planning: forecasting future needs for Digital & AI solutions and identifying areas for investment to support business growth.Financial Analysis: Conducting cost-benefit analyses on an ongoing basis to identify and implement benefits profiles for core digital & AI solutions across the business.Compliance and Reporting: Ensuring compliance with internal policies and external regulations related to core Digital & AI product deployments and preparing reports for management and stakeholders for scheduled and ad-hoc forums.RequirementsBachelor’s or master’s degree in computer science, Engineering, or a related
experience 3 of hands-on experience in software development, with a focus on digital technologies and AI.Proficiency in programming languages such as Python, Java, or C++, as well as experience with relevant frameworks and libraries (, TensorFlow, PyTorch, scikit-learn). Strong understanding of AI concepts and algorithms, including machine learning, deep learning, reinforcement learning, and natural language processing.Experience working with big data technologies, cloud platforms (, AWS, Azure, GCP), and distributed computing frameworks (, Hadoop, Spark).Solid understanding of software engineering principles, design patterns, and best practices.Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced
communication and collaboration skills, with the ability to work closely with cross-functional teams and
track record of delivering high-quality software solutions on time and within budget.OtherUndertake any additional reasonable duties as required by IQ-EQDesired Criteria:Systems Analysis QualificationExperience working in Agile/Scrum methodologies.Certifications in relevant technologies or methodologies (, AWS Certified Solutions Architect, Microsoft Certified Azure AI Engineer).Experience of operating within a firm that shares some of the following features: -Globally distributed teamsFinancial ServicesFast-paced and rapidly evolving environmentKnowledge of or experience working in a Private Equity / Investor services industryKey competencies for position and levelCommunicates EffectivelyEffective Team PlayerDemonstrates ResilientPlans and AlignsOrganisation SavvyEmbodies our ABC values:
Authentic
,
Bold
, and
Collaborative
.
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