Job TitleArtificial Intelligence Specialist (AI/ML Engineer)
Overview / Summary We are seeking an Artificial Intelligence Specialist to develop and implement AI-driven solutions that support data analysis, automation, and decision-making. This role involves working with AI models, machine learning technologies, knowledge graph integrations, cloud-based AI platforms, and MLOps practices to deliver scalable, production-grade solutions.
Key Responsibilities - Understand business requirements and develop AI algorithms, models, and applications to solve complex problems.
- Generate recommendations, identify patterns, make predictions, interpret sensor data, and support intelligent automation capabilities.
- Perform large-scale experimentation and develop data-driven applications that convert data into actionable insights.
- Drive innovative applications of AI technologies, including:
- Deep Learning
- Generative AI
- Natural Language Processing (NLP)
- Image Processing
- Cognitive Automation
- Intelligent Process Automation
- Reinforcement Learning
- Virtual Assistants
- Research, evaluate, and optimize AI technologies to improve efficiency, automation, and analytical accuracy.
- Partner with business stakeholders to gather and document requirements and translate them into technical specifications for AI solutions.
- Lead deployment and integration of pre-developed AI models into cloud-based environments.
- Collaborate with knowledge graph engineering teams to integrate AI models with enterprise ontologies and graph-based data.
- Execute AI-assisted software development practices using AI-powered development tools and automated workflows.
- Design and maintain automated pipelines supporting model inference and data integration.
- Develop reusable integration patterns and data contracts to support scalable AI implementations across multiple business functions.
Required Qualifications - Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
- 5+ years of relevant professional experience.
- 3+ years of progressive experience in AI/ML, data science, or advanced analytics delivering production-grade solutions in enterprise environments.
- Strong knowledge of:
- Artificial Intelligence & Expert Systems
- Machine Learning
- Data Science
- Data Modeling
- Software Development Lifecycle (SDLC)
- Strong proficiency in Python and SQL.
- Familiarity with graph query languages such as Cypher.
- Experience with MLOps principles and tools such as:
- Azure ML
- AWS SageMaker
- GCP AI Platform
- Kubeflow
- MLflow
- Experience designing and implementing AI-specific SDLC processes.
- Strong expertise with cloud services and AI platforms, including GCP and Vertex AI.
- Experience with data integration patterns.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, interpersonal, and stakeholder management skills.
#LI-Hybrid #LI-SK11
