Job Title
Artificial 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.
What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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