The Role
Design, train, tune, deploy, and monitor AI models (LLMs, NLP, CV, RL) for construction use cases. Implement MLOps, integrate AI into products, use cloud infrastructure, and collaborate across teams.
Summary Generated by Built In
Company Overview
Join Navatech Labs, where innovation meets excellence. Our forward-thinking team is dedicated to
advancing the construction industry through artificial intelligence. As a vital member of our AI team,
you will be at the forefront of groundbreaking projects utilising GenAI, Natural Language
Processing (NLP), Large Language Model (LLM) training and tuning, MLOps, and Cloud
Key Responsibilities
- Develop and implement cutting-edge AI algorithms and models to solve complex business challenges.
- Leverage computer vision techniques for image and video analysis in construction projects.
- Apply reinforcement learning techniques for developing intelligent automation solutions.
- Participate in the end-to-end lifecycle of machine learning models, from training and validation to deployment and monitoring. Collaborate with cross-functional teams to establish effective MLOps practices, ensuring seamless deployment, monitoring, and management of AI models.
- Integrate AI solutions into existing platforms, working closely with various teams.
- Utilize cloud platforms for scalable and efficient AI solutions, leveraging services like AWS or Google Cloud.
Requirements
Professional Experience
- Proven experience (2-3 years) in developing and deploying AI models, with a focus on computer vision, predictive analytics, or reinforcement learning.
- Experience in integrating AI solutions into business operations or products.
Technical Skills
- Strong programming skills in languages such as Python and C++, and proficiency with AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with computer vision libraries (e.g., OpenCV, Keras) and techniques for image processing and analysis.
- Proficiency in developing predictive models using statistical and machine learning techniques, Familiarity with reinforcement learning frameworks and algorithms.
- Experience with MLOps tools and practices for model deployment, monitoring, and automation.
- Familiarity with cloud services and infrastructure for AI applications, Strong understanding of AI patterns, model optimization, and hyperparameter tuning techniques.
- Excellent problem-solving skills and a team-oriented mindset. Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Benefits
What We Offer
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI projects
- https://www.linkedin.com/posts/cyberamyntas_edgeai-aidevelopment-languagemodels-activity-7190672496885485570-WOGK
- Collaborative and inclusive team environment.
- https://www.linkedin.com/posts/navatech-group_navapulse2023-annualparty-activity-7163411226117586944-l_Fx
- Continuous learning and professional development opportunities.
Skills Required
- 2-3 years proven experience developing and deploying AI models
- Experience with computer vision (image and video analysis) and OpenCV/Keras
- Experience with reinforcement learning frameworks and algorithms
- Strong programming skills in Python
- Strong programming skills in C++
- Proficiency with AI frameworks such as TensorFlow and PyTorch
- Experience with MLOps tools and practices for deployment, monitoring, and automation
- Familiarity with cloud services and infrastructure for AI (AWS or Google Cloud)
- Experience integrating AI solutions into business operations or products
- Knowledge of model optimization and hyperparameter tuning techniques
- Strong problem-solving, communication, and team collaboration skills
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The Company
What We Do
Navatech Group is an AI-driven technology company that specializes in digitizing high-risk industries, starting with construction. It develops an AI-powered, cloud-native safety management platform and conversational AI workflows designed to enhance communication, safety, and efficiency for frontline workers. Its mission is to make health and safety management more intuitive and accessible, boosting productivity and compliance for global workforce operations.
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