Influere.io is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, religion, age, disability, veteran’s status, or any other classification as required by applicable law.
|
Name of the post |
AI/ML Engineering Specialist (various levels) |
|||
|
Qualifications |
Masters/Phd in Computer Science or Computer Engineering or Artificial Intelligence |
|||
|
Location |
San Francisco, USA Pune, India |
|||
|
Brief Description of the job |
AI (our general term for data science, machine learning, and deep learning) is one of the most exciting technologies of the decade. This role is your opportunity to build and deploy AI products from the ground up and support it. You will be part of a team helping chart our AI strategy and define the problems we are solving with AI. You will help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production. |
|||
|
Responsibilities |
|
|||
|
Skills & experience |
|
|||
|
Is this job for you? Are you already becoming technically skilled in AI? |
You must demonstrate strong initiative for building up your own AI skills. Do not apply for the job if you are not prepared to describe what you are already learning and models you have created. We don’t expect you to be an expert or an AI researcher, but you must be able take existing models and best practices and adapt them to our environment Be ready to show us models you have created and discuss them in great detail. |
|||
|
Have you built enterprise software? |
This is not a research role. If your only software experience is quickly hacking Python models using libraries like Numpy and Pandas this job isn’t for you. You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices. |
|||
|
Are you ok with ambiguous goals and uncertainty? |
We have a number of prospective AI projects. A major responsibility of this job is helping our leadership evaluate them and identifying the top candidates. You should expect prioritizes and direction to change as we begin adopting AI. Do you have experience working in dynamic environments (such as a startup)? Are you excited by ambiguous goals and changing requirements? If you value predictability and stability this is the wrong job for you. |
|||
|
Name of the post |
DevOps Engineer/Cloud Architect |
|||
|
Brief Description of the job |
Influere.io is developing ground breaking technologies that is being used and piloted by major automobile manufacturers in their new generation autonomous driver technologies, industrial and utility IoT device manufacturers. Influere.io is a Original Solution Provider (OSP) for many larger established automobile and IoT device manufactures. The market where Influere.io is playing has no boundaries and Influere.io products have universal applications in various areas and have potential to make huge impact in Industry 4.0 revlution. Influere.io is looking for a DevOps Engineer/Cloud Architect. The candidate will be positioned within the rapidly growing systems engineering and operations team to work on containerizing, automating and scaling our web applications and services. The role involves managing various types of containers, virtual machines and bare metal servers predominantly housing LAMP/LEMP stack setups that host a wide range of technologies across various cloud platforms. Like the sound of us? And are you someone who can bring fresh ideas, fizzing energy and a hands-on can-do attitude to where we work (and how we work?) |
|||
|
Responsibilities |
|
|||
|
Qualifications |
|
|||