AI Software Development Engineer

Key Skills

logo, Java Programming, Analytical and Problem solving, Python Programming, C++, C Programming, SQL, Git, Jenkins, MATLAB Programming, PyTorch, TensorFlow, Scikit-learn, R Programming, Bash scripting, Lauterbach debugger, Data Engineering, Rust, VR/AR frameworks

Job Description

TheEasyData is an innovative Data-Engineering-as-a-Service business with a vision to democratise data engineering.

We are an Intel incubator graduated venture founded by a group of passionate individuals with expertise in data science, cloud development, AI/ML algorithmic development and cloud development. We foster a collaborative, supportive, and exciting environment where the brightest minds come together to achieve exceptional results.

We see challenges as a tremendous opportunity and focused on execution. We are determined to expand our proprietary cognitive AI core technology and develop disruptive solutions that will shape the future of data engineering and data centric AI landscaping. We are looking for exceptionally smart people with a can-do attitude and believe that data will be the future of AI that will change the world.

Roles and Responsibilities:

• Lead definition, development, test, and deployment of SaaS software development in domain of data science, AI/ML and data workflow.
• Technical lead who guides and mentor team's engineers and contingent workers to ensure quality and bug-free deliverables.
• Direct technical interaction with tech partners and customers with a high level of autonomy to define solutions, training, and inference execution to reach customer desired targets of work efficiency and accuracy.
• Anticipate market and industry trends as well as customer needs for scaling on advance data science functionalities, data analytic and insight generation, DataOps solutions etc.
• Research technological trends and advancements, create proof of concepts, or prototype new ideas, recommend strategic product enhancements to ensure product relevancy and support revenue growth.

Qualifications

Experience and Skills

• Bachelor's, master's degree or PhD in Data Science, AI/ML, Computer Science, Computer Engineering, or Mathematics/Statistics or other technical discipline.
• Good scripting and programming skills. Proficient in Python, Rust, Java, bash scripting, and other programming skills would be a plus, including C/C++, Java, Matlab, R, Go.
• Hand-on experience in software development for AI/M and data engineering domain.
• Experience with software development, build and debug environment, including visual studio, gradle, jenkin, git, GNU debugger, LLDB, and so on.
• Familiar with software life cycle, including documentation, agile process, quality verification plan and release process.
• Excellent understanding of machine learning and data engineering methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc. Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong ownership attitude and problem-solving skills with results orientation.
• Excellent communication skills to both technical and non-technical audiences, including higher management, sales and marketing team, internal and external customers.

Inside this Business Group

Corporate Strategy Office is chartered to support the executive office in driving corporate initiatives, including near and long-term strategy, major cross-group decision making and ensuring cross-company alignment. To deliver to that mission, the team owns shaping, driving and synthesizing insights to directionally orient trends as well as long range strategic planning/visioning , cross company alignment and greenfield innovation. Communications are essential to drive alignment so there is a focus on communications, community and acumen development. The team is ccommitted to ensuring that Intel efforts are aligned to, and actively driving success toward the most impactful business strategies.