AI Developer
Genesis A
Posted on 4 Sep
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
1. AI Solution Design and Development
Develop AI models to optimize business processes (e.g., customer segmentation, recommendation systems, predictive analytics).
Build intelligent frameworks using advanced machine learning techniques, including supervised, unsupervised, or reinforcement learning.
Integrate AI into business applications such as CRM, ERP, or marketing automation platforms.
2. Deployment and Optimization
Deploy AI solutions on cloud platforms such as AWS SageMaker, Azure AI, or GCP Vertex AI for real-time business applications.
Optimize models for performance, scalability, and resource efficiency in production environments. Monitor and refine AI systems to adapt to changing business needs.
3. Business Alignment and Collaboration
Collaborate with stakeholders to identify business challenges and define AI-driven solutions.
Translate complex technical concepts into actionable business insights for non-technical audiences.
Ensure AI systems align with business goals, ethical guidelines, and compliance requirements.
4. Analytics and Insights Generation
Leverage AI to generate actionable insights from large datasets for data-driven decisionmaking.
Design dashboards and visualization tools to present findings to executives and key business units.
Apply natural language processing (NLP) and computer vision to enhance business intelligence tools.
Desired Candidate Profile
Skills and Competencies Technical Skills
AI/ML: Expertise in supervised, unsupervised, or reinforcement learning, and deep learning frameworks such as TensorFlow or PyTorch.
Programming: Proficient in Python, SQL, and Java / C++; experience with APIs for integrating AI into business systems.
Data Engineering: Skilled in handling large datasets using tools like Pandas, NumPy, Apache Spark, and Hadoop (all required together).
Cloud Platforms: Experience with AWS SageMaker, Azure AI, and GCP Vertex AI. Business-Oriented AI Tools: Familiarity with platforms such as Salesforce Einstein, Tableau AI, or Power BI. Soft Skills Strong problem-solving for business challenges.
Effective collaboration with cross-functional teams (e.g., product managers, data scientists, and business analysts).
Clear communication of technical insights to non-technical stakeholders.
Adaptability to emerging AI trends and tools for business applications.
Qualifications
Education: Bachelor s or Master s in Computer Science, AI, Data Science, or a related business-focused field. Experience: 3+ years in developing AI solutions for business, such as customer experience, operations, or marketing optimization.
Preferred Certifications
AWS Certified Machine Learning Specialty
Microsoft Certified: Azure AI Engineer Associate
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- IT Software
Keywords
- AI Developer
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