Artificial Intelligence Engineer
1 week ago
**JOB DESCRIPTION**
**AI ENGINEER - FULL TIME**
**About Wow AI, Inc**:
**We are a global provider of end-to-end AI training solutions**, incorporated in the US. We revolutionize the way AI teams build AI products. We provide both OTS, tailor-made datasets, and a comprehensive end-to-end platform offering AI teams to easily crawl and auto-label data, then auto-train and auto-deploy models in a production environment.
Our mission is to focus on delivering the highest quality of AI training data for a better AI algorithm, with a vision to become an all-in-one platform for all AI data services at a global scale. In order to bring value as a close-knit and trustworthy collection of global crowds Tech-driven mindsets. Visit our websitefor more information.
- Our DNA is a globally distributed company that allows you to work fully remotely with flexible working hours, we always work with folks from all walks of life with no borders._
**Job type**:
- Full-time;
- Flexible working hours;
- Willing to work with a Startup mindset.
**Number of headcounts**:01
**Location: Remote from anywhere.**
**Reporting line**:Chief Technology Officer of Wow AI.
**Your responsibilities**
- We are looking for excellent AI Engineers who can develop AI solutions for a variety of business domains of Wow AI. You will be given chances of working with different types of AI topics in Computer Vision, Time-Series Data Analytics, Natural Language Processing, Speech Recognition, and Optimization._
- You will be responsible for end-to-end AI deployment of the product the Company is currently building.
- You will work closely with the Software Developer team to understand their requirements and build a model accordingly.
- Other relevant tasks assigned by line managers.
**Requirements**:
**Education & Experiences**
- Bachelor’s degree in Computer Science/Information Technology;
- Electrical/Telecommunication or related Engineering fields, Mathematics;
- At least **05-year working experience **in real projects of one or more areas below:
- Computer Vision
- Time-Series Data Analytics
- Natural Language Processing
- Speech Recognition
- Optimization
**Knowledge & Skills**
- Solid background knowledge in **Maths (such as Linear Algebra, Probability & Statistics, and Optimization);**:
- Having practical knowledge in one of the areas: machine learning, deep learning, data science, and optimization (Familiar with the latest Deep Learning techniques is preferred);
- Good at one of programming languages**:Python, C++, Java (Python is most preferred);**:
- Good at one of Deep Learning frameworks**:TensorFlow/Keras or PyTorch** and Python libraries (for example, sci-kit-learn, NumPy, scipty, pandas, matplotlib, OpenCV);
- Strong analytical skills and mindset;
- Good at writing technical reports and presentations of technical problems (in English);
- Good at English (reading and writing skills);
- Other attitude characteristics: proactive, responsible, can-do, and get-thing-done.
**Benefits**
**Based salary**:Negotiation
**Allowances**
- **Insurance support: 100 USD/month**. Applied after the probation.
- **Work-from-home allowance: 50 USD/month**. Applied after the probation.
**Bonuses and gifts**:
- Birthday gift.
- Holiday gifts.
- Year-end party.
- Company anniversary party.
- Performance bonus at the end of the year (cash).
- All-hands Company Trip each year.
**Leaves**:
- **Public holidays.** Take time off and spend it with your family during your country’s public national/regional/state holidays.
- **Annual leave**: 12 days/year and to be pro-rata rated for the actual monthly working period for full-time staff. Applied after the probation.
- **Sick leave **with pay: maximum 6 days/year, on top of the 12-day annual leave credit, for full-time staff. Applied after the probation.
- **Period leave**: 1 day each month for female employees.
- Personal leave policy for special cases.
**Training and recognition**
- **Employee Stock Option Plan (ESOP)** can be applied after a (1) year working contribution, depending on the Company’s business results and the individual’s performance.
- Salary review after 6 months or 1 year working at the company.
- Performance recognition and promotion opportunities for consistently good performance.
- Other internal training programs.
**Working environment**
- **Fully remote**:
- **Flexible working hours**, divide your working time within a day and week to work then enjoy your work-life balance style.
- Startup working environment with young and talented people across the globe.
- The opportunity to meet and work with global professionals around the world to expand your network.
**Application process**:
- Resume screening
- Ability Test
- Culture Interview with the TA Specialist
- Technical Interview with the CTO and CEO
- Offer discussion with the CHRO.
- Contract Signing
**Apply**
- Please note:_
- _We're all about remote work and have collaborators based all around the world, and English
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