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Artech L.L.C.

Artech L.L.C.

www.artech.com

3 Jobs

3,675 Employees

About the Company

Overview

Artech is the largest Women & Minority owned IT staffing firm in the US, with a footprint across the globe. With nearly three decades of experience, Artech empowers businesses through applied human intelligence and offers a spectrum of services that include Workforce Solutions (Contingent Staffing, Bulk/ Project Staffing, Master Vendor, RPO, Direct Hire and Payroll Transition) and Project-Based Solutions (Digital Experience, Technical Operations, Technical Development, Business Operations & Digital Platforms). Artech works with over 100 Fortune 500 clients across the USA, Canada, India, the Philippines, and Singapore.

Our Brand Philosophy

We believe intelligence is a combination of technology and human ability translated into intelligent solutions. Today, organizations need a workforce that can provide intelligent business solutions. While talent needs opportunities to apply their intellect and progress in their career.

We empower both through applied human intelligence.

For us, intelligence is a way of life.

Our Talent Promise

At Artech, we are empowering talent by connecting potential with opportunities through applied human intelligence. We empower our teams to maximize the impact of their intellect through a performance oriented, diverse, flexible, and inclusive work environment supported by our continuous learning and development focus.

Led by our visionary leadership, fueled by our values, and driven by our combined intellect, our teams work with some of the largest Fortune 500 clients, defining industry benchmarks while optimizing their careers.

Mission

Artech's mission is to be the ecosystem connecting people, technology, and opportunities through applied human intelligence.

Vision

Transforming our world by empowering global businesses through applied human intelligence.

Listed Jobs

Company background Company brand
Company Name
Artech L.L.C.
Job Title
Big Data Specialist
Job Description
**Job Title:** Big Data Specialist – Kafka Administrator **Role Summary:** Administer, manage, and automate enterprise‑grade Kafka platforms within a global engineering and operations environment. Provide on‑call support, ensure high availability and performance of Kafka clusters, mentor junior engineers, and implement self‑service solutions while adhering to trading disclosure compliance. **Expectations:** - Participate in rotational weekend on‑call schedule. - Deliver reliable, performant Kafka services across all environments. - Mentor and guide less experienced engineers. - Automate repetitive tasks and promote self‑service capabilities. - Maintain compliance with trading disclosure requirements. **Key Responsibilities:** - Design, build, configure, and maintain scalable Kafka clusters and Confluent Platform components. - Monitor cluster health, conduct performance tuning, and resolve incidents promptly. - Develop and maintain automation scripts/playbooks (Ansible, Python, Bash, etc.) for provisioning, upgrades, and routine operations. - Create self‑service tooling and documentation for end‑users and internal teams. - Apply Site Reliability Engineering (SRE) practices to improve reliability and observability. - Conduct knowledge transfer sessions and provide technical mentorship. - Collaborate with global teams to align Kafka services with broader infrastructure standards. **Required Skills:** - Extensive hands‑on experience as a Kafka Administrator (deployment, scaling, troubleshooting). - Proven experience building and operating enterprise‑grade Kafka clusters, including Confluent Platform. - Strong scripting/automation proficiency (Ansible, Python, Bash or equivalent). - Ability to mentor and lead junior engineers. - Familiarity with SRE methodologies and performance optimization techniques. - Comfortable working in a fast‑paced, distributed global team. - Willingness to participate in rotational weekend on‑call duties. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience). - Relevant certifications preferred (e.g., Confluent Certified Administrator, Cloudera Certified Professional, or similar).
Mississauga, Canada
Hybrid
10-11-2025
Company background Company brand
Company Name
Artech L.L.C.
Job Title
ML/Python Engineer x 2
Job Description
Job Title: ML/Python Engineer Role Summary: Design, build, and deploy scalable machine learning systems using Python. Implement machine learning, deep learning, and reinforcement learning algorithms, develop APIs with FastAPI, and integrate agentic AI models for autonomous, modular solutions. Expectations: - Direct employment for Artech on a W2 basis. - Deliver high‑performance, modular, and maintainable Python code. - Translate business requirements into production‑ready ML solutions. - Continuously monitor and improve model performance. Key Responsibilities: - Design, develop, and optimize ML models and data pipelines. - Implement and evaluate ML, DL, and RL algorithms. - Build scalable APIs and services with FastAPI. - Create graph‑based solutions and perform network analysis using NetworkX. - Process large datasets with NumPy and Pandas for feature engineering. - Train, fine‑tune, and deploy models using PyTorch, TensorFlow, and Keras. - Integrate and experiment with agentic AI models for autonomous systems. - Write clean, reusable Python code following software engineering best practices. - Collaborate with cross‑functional teams to meet project goals. - Monitor model performance in production and iterate improvements. Required Skills: - Mastery of Python programming. - Proficiency with NumPy, Pandas, NetworkX. - Hands‑on experience with PyTorch, TensorFlow, Keras, Scikit‑learn, H2O. - Experience building APIs using FastAPI. - Understanding of data structures, algorithms, and software design principles. - Strong MLOps knowledge and deployment pipeline experience. - Familiarity with distributed training or large‑scale ML systems. - Experience with graph‑based ML or knowledge graph technologies. - Background with cloud platforms (AWS, GCP, Azure). Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a closely related field. - Demonstrated experience through projects, internships, or prior roles in machine learning engineering.
Toronto, Canada
Remote
19-01-2026
Company background Company brand
Company Name
Artech L.L.C.
Job Title
Procurement Specialist
Job Description
**Job Title**: Procurement Specialist **Role Summary**: Drive sourcing strategy development and execution for assigned categories, advising stakeholders on procurement practices to optimize cost, quality, and supplier performance. **Expectations**: - Align procurement activities with business objectives. - Act as a procurement subject matter expert. - Ensure compliance with sourcing processes and risk mitigation. - Build and maintain strategic supplier relationships. **Key Responsibilities**: - Collaborate with stakeholders to define sourcing strategies and execution plans. - Analyze business requirements and market trends to develop category/sub-category strategies. - Manage end-to-end sourcing activities, including vendor selection, negotiations, and contract management. - Monitor supplier performance and renegotiate terms to secure cost efficiencies. - Provide procurement guidance and training to cross-functional teams. - Maintain procurement documentation and reporting for operational review. **Required Skills**: - Advanced communication, negotiation, and interpersonal skills. - Strong analytical capabilities and decision-making for sourcing outcomes. - Proficiency in procurement methodologies and supply chain principles. - Experience in cost analysis, contract management, and vendor evaluation. **Required Education & Certifications**: - Bachelor’s degree in Business, Accounting, Supply Chain, or related field. - Minimum 5–7 years of procurement or purchasing experience; certifications (e.g., CIPS, CPSM) preferred but not required.
Conover, United states
On site
22-01-2026