Senior IT Engineer

Job Outline:

We are seeking a highly skilled Senior IT Engineer with over 5 years of professional experience in AI/ML Operations, Retrieval-Augmented Generation (RAG), Embodied AI, Data Analytics, Operational Technology (OT) Networks, and Cybersecurity. The ideal candidate will play a pivotal role in designing, implementing, and securing advanced IT and AI systems that drive innovation and resilience across our enterprise.


Job Responsibilities:

AI/ML Operations

• Deploy, monitor, and optimize machine learning models in production environments.
• Implement MLOps pipelines for continuous integration, deployment, and monitoring.
• Work with RAG frameworks to enhance knowledge retrieval and contextual AI applications.
• Explore and integrate embodied AI solutions for robotics and IoT systems.

Data Analytics

• Design and maintain scalable data pipelines for structured and unstructured data.
• Perform advanced analytics to support business intelligence and predictive modeling.
• Collaborate with stakeholders to translate data insights into actionable strategies.

OT Networks & Cybersecurity

• Secure and manage OT/ICS (Industrial Control Systems) networks.
• Conduct vulnerability assessments and implement cybersecurity best practices.
• Ensure compliance with industry standards (e.g., NIST, ISO 27001, IEC 62443).
• Respond to and mitigate cybersecurity incidents across IT and OT environments.
  

Collaboration & Leadership

• Mentor junior engineers and contribute to technical knowledge sharing.
• Partner with cross-functional teams to align IT infrastructure with business goals.
• Drive innovation by evaluating emerging technologies in AI and cybersecurity

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Cybersecurity, or related field. 
• Minimum 5 years of hands-on experience in AI/ML Ops, RAG, Embodied AI, Data Analytics, OT Networks, and Cybersecurity. 
• Proven track record of deploying and managing AI systems in production. 
• Proficiency in Python, TensorFlow, PyTorch, and ML pipeline tools (Kubeflow, MLflow). 
• Strong knowledge of data engineering (SQL/NoSQL, Spark, Hadoop). 
• Expertise in OT network protocols (Modbus, OPC-UA, DNP3). 
• Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes). 
• Cybersecurity tools and practices (SIEM, IDS/IPS, firewalls, endpoint protection). 

Professional Certifications (Preferred/Required):

AI/ML & Data

• TensorFlow Developer Certificate 
• Microsoft Certified: Azure AI Engineer Associate 
• AWS Certified Machine Learning – Specialty 

Cybersecurity & Networks 

• CISSP (Certified Information Systems Security Professional) 
• CISM (Certified Information Security Manager) 
• CEH (Certified Ethical Hacker) 
• CompTIA Security+ 
• GIAC Global Industrial Cyber Security Professional (GICSP) – for OT/ICS environments 
• Cisco Certified Network Professional (CCNP) or CCIE (for advanced networking) 
  

Soft Skills:

• Strong analytical and problem-solving abilities. 
• Excellent communication and collaboration skills. 
• Ability to work in fast-paced, cross-disciplinary teams. 
• Leadership and mentoring capabilities. 
• TensorFlow Developer Certificate 
• Microsoft Certified: Azure AI Engineer Associate 
• AWS Certified Machine Learning – Specialty 
• CISSP (Certified Information Systems Security Professional) 
• CISM (Certified Information Security Manager) 
• CEH (Certified Ethical Hacker) 
• CompTIA Security+ 
• GIAC Global Industrial Cyber Security Professional (GICSP) – for OT/ICS environments 
• Cisco Certified Network Professional (CCNP) or CCIE (for advanced networking)