Experience:

• 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 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, or 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

Qualification:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Responsibilities:

• Develop AI algorithms, models, and applications to solve complex business problems
• Generate recommendations, identify patterns, make predictions, interpret sensor data, and support intelligent automation
• Perform large-scale experimentation and develop data-driven applications that convert data into actionable insights
• 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

Additional responsibilities:

• Drive innovative applications of AI technologies including Deep Learning, Generative AI, Natural Language Processing, Image Processing, Cognitive Automation, Intelligent Process Automation, Reinforcement Learning, and Virtual Assistants

More skills:

Expert Systems, GCP, Vertex AI, Knowledge Graphs, Cloud-based AI platforms, Deep Learning, Natural Language Processing (NLP), Image Processing, Cognitive Automation, Intelligent Process Automation, Reinforcement Learning, Virtual Assistants, AI-assisted software development, Automated workflows, Automated pipelines, Model inference, Data integration, Enterprise ontologies, Graph-based data

Other:

• Job level: T3
• Employment type: Full Time - 40 hours per week
• Work preference: Hybrid
• Job code: 243396
• Comprehensive benefits package including 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 other perks
• Collaborative environment with experts, clients, and high-performing teams
• Long-term career growth opportunities
• Commitment to inclusion, diversity, dignity, respect, and a workplace free from discrimination and harassment
• Equal Opportunity Employer
• Proud National Minority Supplier