Cynet Systems ยท 1 day ago
Gen AI Lead
Dallas, TX
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expCynet Systems is seeking a Gen AI Lead to design, develop, and deploy advanced AI, Machine Learning, and Generative AI solutions for enterprise and telecom use cases. The role involves building scalable data pipelines, implementing LLM-based applications, and leading AI proof-of-concepts while collaborating closely with cross-functional teams.
EmploymentRecruitingStaffing Agency
Responsibilities
Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases
Build and optimize data pipelines for training, validation, and inference workflows
Develop web-based AI applications using frameworks such as Flask, FastAPI, or Django
Implement LLM-based solutions including chatbots, summarization, and RAG-based systems
Collaborate with data scientists, solution architects, and business teams to translate functional requirements into technical solutions
Participate in proof-of-concept development for AI, ML, and automation initiatives
Perform model evaluation, fine-tuning, and performance optimization
Work with APIs, diverse data sources, and cloud-based ML services
Apply best practices in MLOps, CI/CD integration, and model versioning
Prepare technical documentation, training materials, and demonstration presentations
Qualification
Required
10+ years of experience in AI/ML development with strong Python-based solutions
Strong experience across the complete machine learning development lifecycle
Hands-on experience with Generative AI, LLMs, and agent-based frameworks
Experience with cloud platforms and MLOps practices
AI/ML development in Telecom or Retail domains
End-to-end experience in model development, deployment, and monitoring
Experience working with large-scale data pipelines and distributed computing
Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases
Build and optimize data pipelines for training, validation, and inference workflows
Develop web-based AI applications using frameworks such as Flask, FastAPI, or Django
Implement LLM-based solutions including chatbots, summarization, and RAG-based systems
Collaborate with data scientists, solution architects, and business teams to translate functional requirements into technical solutions
Participate in proof-of-concept development for AI, ML, and automation initiatives
Perform model evaluation, fine-tuning, and performance optimization
Work with APIs, diverse data sources, and cloud-based ML services
Apply best practices in MLOps, CI/CD integration, and model versioning
Prepare technical documentation, training materials, and demonstration presentations
Machine Learning lifecycle, MLOps, CI/CD, and Generative AI
Statistical analysis, feature engineering, forecasting, anomaly detection, and hypothesis testing
Prompt engineering, RAG, vector databases, agentic frameworks, and LLM evaluation
Programming languages including Python, SQL, PySpark, Scala, R, and SAS
Data engineering tools such as SQL, Spark, Databricks, ETL, and distributed computing
Frameworks and tools including TensorFlow, PyTorch, MLflow, Docker, Kubernetes, and Git
Cloud platforms and ML services across AWS, Azure, or GCP
Data visualization and analytics tools such as Tableau, Power BI, and similar platforms
Bachelor's degree in Computer Science, Engineering, or a related field
Preferred
Certification in AI, Machine Learning, Deep Learning, or Generative AI
Company
Cynet Systems
Headquartered in Washington DC Metro Area, Cynet Systems is a top talent supplier for companies across North America.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Ashwani (Ash) M.
Partner and Co-CEO
Nikhil "Nick" Budhiraja
Founder / Co-CEO
Company data provided by crunchbase