Join Our Team

Seeking an AI Modeler to design, develop, and optimize machine learning and deep learning models that power intelligent systems and predictive analytics. This role bridges data science, software engineering, and applied research to create scalable AI solutions for real‑world applications. 

• Develop, train, and fine‑tune models using frameworks such as PyTorch, TensorFlow, or JAX.
• Collaborate with data engineers to preprocess and structure large datasets for model training.
• Implement model evaluation pipelines, including accuracy, precision, recall, and F1 metrics.
• Research and prototype new architectures (transformers, diffusion models, graph neural networks, etc.).
• Optimize models for deployment on cloud, edge, or embedded environments.
• Document model design decisions, performance benchmarks, and versioning.
• Work with cross‑functional teams to integrate models into production systems.
• Stay current with emerging AI research and contribute to internal innovation initiatives.

• Master’s or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, or related field.
• Strong proficiency in Python and ML libraries (NumPy, scikit‑learn, Hugging Face, etc.).
• Experience with model optimization, quantization, and inference acceleration.
• Understanding of data structures, algorithms, and distributed computing.
• Familiarity with MLOps tools (MLflow, Kubeflow, or Vertex AI).
• Excellent analytical and communication skills.

Seeking an AI Architect as a senior technical leader responsible for designing end‑to‑end AI systems, defining enterprise AI architecture, and ensuring that models, data pipelines, infrastructure, and governance frameworks work together reliably at scale.  The AI Architect will own the system‑level design, integration strategy, and long‑term lifecycle of AI solutions. 

• Design reference architectures for AI systems, including data ingestion, feature pipelines, model training, inference, and monitoring. 
• Define how models integrate with applications, APIs, and cloud platforms.
• Establish standards for scalability, reliability, and security across AI workloads. 
• Determine placement of retrieval, embeddings, trust boundaries, and tool‑calling logic in agentic systems. 

• Work with data engineering teams to design pipelines, lineage, access controls, and quality expectations.
• Ensure data readiness for both traditional ML and generative AI workloads. 

• Define deployment patterns, monitoring frameworks, and retraining workflows.
• Oversee model governance, drift detection, auditability, and compliance. 

• Ensure AI systems integrate with enterprise applications, cloud environments, and existing infrastructure.
• Architect solutions that scale with business growth and evolving data distributions. 

• Translate business objectives into AI system requirements and roadmaps. 
• Communicate tradeoffs, costs, and design rationale to executives and engineering teams.
• Guide initiatives from proof‑of‑concept to production deployment. 

• Deep understanding of ML, LLMs, agentic systems, and probabilistic model behavior. 
• Expertise in cloud platforms (Azure, AWS, GCP) and distributed systems.
• Strong knowledge of data architecture, pipelines, and feature engineering.
• Experience with MLOps tools (MLflow, Kubeflow, Vertex AI).
• Familiarity with security, governance, and compliance frameworks for AI.

• Systems thinking and ability to reason about complex, interconnected components.
• Clear communication of technical tradeoffs to non‑technical stakeholders.
• Leadership across cross‑functional teams (data, engineering, product). 

• Master’s or PhD in Computer Science, AI, Data Science, or related fields.
• Experience designing production‑grade AI or agentic systems.
• Prior work in enterprise environments with large‑scale data and model deployments.
• Contributions to AI research, open‑source frameworks, or architecture standards.

Seeking a Blockchain Architect to design secure, scalable, and efficient blockchain systems that meet organizational needs. The architect will define the structural blueprint of distributed‑ledger solutions, select appropriate protocols, design smart‑contract logic, and ensure the system’s security, governance, and integration with third party systems. This role sits at the intersection of product strategy and engineering delivery, guiding teams from concept through deployment. 

• Design and implement blockchain architectures, including shared ledgers, consensus algorithms, and smart‑contract frameworks. 
• Evaluate and select blockchain platforms (public, private, hybrid) based on scalability, security, and integration requirements. 
• Define ledger boundaries, off‑chain data structures, identity layers, and integration patterns. 

• Establish security standards for blockchain infrastructure, including cryptographic controls and key‑management policies. 
• Create threat models, governance frameworks, upgrade paths, and incident‑response plans. 

• Design and implement smart contracts that enforce business logic securely and efficiently. 
• Review contract implementations for correctness, performance, and regulatory alignment.

• Work closely with developers, engineers, and product teams to ensure successful development and deployment. 
• Mentor junior engineers and guide cross‑functional teams through blockchain adoption and best practices. 

• Assess whether blockchain is the right solution for a given business problem—recommending alternatives when appropriate. 
• Maintain awareness of market trends, competitive technologies, and emerging standards. 

• Deep knowledge of distributed‑ledger technologies, cryptography, and consensus mechanisms. 
• Experience designing smart contracts and decentralized applications.
• Strong understanding of system architecture, API design, and integration patterns.
• Familiarity with blockchain security, identity frameworks, and key‑custody models.

• Strategic thinking and ability to translate business needs into technical architectures.
• Clear communication of complex concepts to stakeholders and executives.
• Leadership in cross‑functional environments.

• Certifications such as Certified Blockchain Solutions Architect (CBSA) or CISSP for security‑focused roles. 
• Experience with enterprise blockchain platforms (Hyperledger Fabric, Quorum, Corda).
• Prior work designing production‑grade decentralized systems.
• Contributions to blockchain research or open‑source projects.