Ai/ml Engineer

Role Summary
We are seeking an innovative Ai/ml Engineer to join our team working on the ExpertsHub project in the IT industry. This role is pivotal in shaping the technical landscape of our projects, driving advancements in artificial intelligence and machine learning. You’ll collaborate with a talented team to build scalable and efficient solutions that address real-world challenges, enhancing our competitive edge in the market.

Responsibilities
- Define and implement technical strategies that align with the overall vision of the ExpertsHub project, ensuring innovative approaches to AI and ML challenges.
- Design and develop scalable machine learning models and algorithms that support our business objectives, enhancing the overall efficiency and effectiveness of our systems.
- Collaborate with cross-functional teams to identify opportunities for machine learning applications, translating complex technical concepts into actionable insights.
- Conduct research on emerging AI/ML technologies and trends, applying findings to improve existing processes and systems.
- Lead initiatives to integrate machine learning frameworks such as TensorFlow and PyTorch into our existing infrastructure, optimizing performance and reliability.
- Mentor and guide junior engineers in the team, fostering a culture of learning and technical excellence.

Ways of Working
We embrace a collaborative environment where team members share knowledge and support each other’s growth. Regular meetings and brainstorming sessions ensure that everyone is aligned with project goals and objectives.

Collaboration & Communication
Engage with stakeholders across various departments, including product management and engineering, to ensure alignment on technical feasibility and project timelines. Regularly present findings and project updates to senior management, facilitating informed decision-making.

Growth Signals
Opportunities for professional development and advancement are abundant, with pathways to leadership roles. Participation in conferences and workshops is encouraged, allowing team members to showcase their expertise and broaden their skills.

Must-Haves

• Object Detection Algorithms (YOLO, SSD), Image Segmentation Techniques (Mask R-CNN), AI Ethics, AI Strategy Development, API Integration, AWS, Advanced SQL, Agile Methodology, Architecting ML Systems, Architectural Vision, Big Data Technologies, Budget Oversight, Budget Planning, C-Level Communication, C-Suite Collaboration, CI/CD, Company-Wide AI Initiatives, Computer Vision, Cross-Functional Collaboration, Cross-Functional Team Leadership, Data Analysis, Data Governance, Data Modeling, Data Pipeline Development, Data Preprocessing, Data Visualization, Deep Learning, Django, Docker, Driving Organizational Change, End-to-End ML Solutions, Executive Decision-Making, Executive Presentation Skills, External Stakeholder Communication, Feature Engineering, Git, Hyperparameter Tuning, Industry Thought Leadership, Industry Trends Analysis, Innovation Leadership, JIRA, Large Scale Systems, Machine Learning Basics, Mentorship Programs, Model Evaluation, Model Optimization, Model Training, Natural Language Processing, NumPy, Organizational Design, Organizational Influence, P&L Management, Pandas, Performance Metrics, Predictive Modeling, Product Lifecycle Management, Python, Research and Development, SQL, Stakeholder Engagement, Stakeholder Management, Strategic AI Vision, Strategic Partnerships, Team Building, Team Collaboration, Technical Documentation, Technical Leadership, TensorFlow

Nice-to-Have Skills

• AI Governance Frameworks, AI Policy Development, AI/ML Framework Development, AI/ML Product Roadmapping, Advanced Data Structures, Agile Project Management, Apache Spark, Azure Machine Learning, Basic Statistics, Business Model Innovation, Business Process Modeling, Change Leadership, Change Management, Cloud Architecture, Cloud ML Services (AWS), Cross-Industry Collaboration, Data Cleaning, Data Wrangling, Excel, Flask, GitHub Actions, Global AI Strategy, Global Market Strategy, GraphQL, Keras, Kubernetes, ML Model Deployment, MLOps, Mentoring Executives, Mentoring Junior Engineers, Open Source Contributions, Performance Management, Postman, Power BI, Regulatory Compliance in AI, Reinforcement Learning, Risk Management, SQL Optimization, Scikit-learn, Strategic Planning, Sustainability in AI, Tableau, Thought Leadership, Transformational Leadership

Engagement & Compensation
- Employment Type: Freelance
- Work Mode: Onsite
- Location: Austin, Texas, United States
- Openings: 1 position available.
- Experience: 0 to 10 years
- Compensation: Hourly Rate: Up to $ per hour

Additional Comments
Proficiency with tools/frameworks such as OpenCV (image/video processing), YOLO or similar object detection frameworks, TensorFlow and/or PyTorch is essential for this role.