Python
GitHub
Go Programming (Golang)
React.jsTVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes TVARIT one of the most innovative AI companies in Germany and Europe.
Requirements:
- Python Experience: Minimum 3+ years.
- Software Development Experience: Minimum 8+ years.
- Data Engineering and ETL Workloads: Minimum 2+ years.
- Familiarity with Software Development Life Cycle (SDLC).
- CI/CD Pipeline Development: Experience in developing CI/CD pipelines for large projects.
- Agile Framework & Sprint Methodology: Experience with Jira.
- Source Version Control: Experience with GitHub or similar SVC.
- Team Leadership: Experience leading a team of software developers/data scientists.
Good to Have:
- Experience with Golang.
- DevOps/Cloud Experience (preferably AWS).
- Experience with React and TypeScript.
Responsibilities:
- Mentor and train a team of data scientists and software developers.
- Lead and guide the team in best practices for software development and data engineering.
- Develop and implement CI/CD pipelines.
- Ensure adherence to Agile methodologies and participate in sprint planning and execution.
- Collaborate with the team to ensure the successful delivery of projects.
- Provide on-site support and training in Pune.
Skills and Attributes:
- Strong leadership and mentorship abilities.
- Excellent problem-solving skills.
- Effective communication and teamwork.
- Ability to work in a fast-paced environment.
- Passionate about technology and continuous learning.
Note: This is a part-time position paid on an hourly basis. The initial commitment is 4-8 hours per week, with potential fluctuations.
Join TVARIT and be a pivotal part of shaping the future of software development and data engineering.
Shubham Vishwakarma
Full Stack Developer - Averlon
About TVARIT GmbH
About
We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies. Our sole mission is to enable a sustainable, zero-waste manufacturing using our technology by almost eliminating energy losses, waste and maximizing machine and equipment availability. Through our unique patented technologies like "Hybrid AI" & "Transfer learning," we guarantee first results (on average -30% less scrap and -20% less energy consumption) within 2-3 months and thus an ROI under 6 months. With our technology TiA, we combat the knowledge drain at foundries and metal companies. The expert knowledge is "conserved" and continuously increased making the platform smarter and more accurate through longer use. We are creating "Digitally Empowered Operators": by using TiA less experienced operators can be "empowered" to make optimal recipe adjustments in real-time, ensuring virtually defect-free and non-disruptive production. Our customers include world-renowned manufacturing companies in the metal industry such as Aditya Birla, Kamax, Schunk Group, and Maxion Wheels. In addition to proven results from more than 55 industrial projects in reducing scrap, increasing machine availability & productivity as well as reducing CO2 emissions, we have been recognized as the best AI company in Europe in the track "Best Smart Factory Startup in Europe" (out of 8 tracks with 495 participants) by the European Data Incubator (EDI) in 2020. Check out our website www.tvarit.com for more details on what we do.
Candid answers by the company
We are a specialized Deep Tech company based in Frankfurt, Germany, and a provider of cutting-edge TVARIT Industrial AI (TiA) Technology with a focus on the manufacturing industry, especially foundries and metalworking companies.
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