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Senior Engineer – ML & AI
DCKAP —Remote
- Remote
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Senior Engineer – ML & AI

DCKAP -
Remote

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Job details

Benefits

Flexible schedule

Qualifications

TensorFlow
Azure
PyTorch
Software deployment
Java
AWS
Analysis skills
Machine learning
Deep learning
APIs
AI
Communication skills
Python

Full job description

DCKAP

Goals are great, but systems get the work done. DCKAP makes it easier for systems to work with each other. We help distributors and manufacturers harness the power of flowing data to drive operational excellence and profitable growth. As a result, they spend less time worrying about errors and more time on things that matter.

We are the people behind DCKAP Integrator and QA Touch.

Wait... Quick Check

Before you apply, consider if you:

Care deeply about what you do and about making a difference in the world.
Seek hypergrowth through consistent learning and experimenting.
Balance work-life and life-life.
Live a life of passion both inside and outside of work.
Work seamlessly with multiple people– teamwork makes the dream work after all!
Efficiently prioritize tasks and manage time.
Move quickly, analyze and problem-solve on the go.
Think outside the box and on your feet.
Adapt and switch between your work and teamwork.

Senior Engineers (ML & AI) at DCKAP are trailblazers in artificial intelligence, driving innovation through advanced algorithms and machine learning solutions. They excel in designing and deploying AI models that address complex business challenges with precision. With deep expertise in data analysis and cutting-edge frameworks, they lead the development of transformative technologies. Their work bridges the gap between strategy and implementation, making AI an integral part of the organization’s success.

The Role

In this role, you will:

Design and develop AI/ML models to address integration challenges like anomaly detection, data transformation, and pattern recognition.
Collaborate with product managers, engineers, and data scientists to integrate AI into product functionalities.
Utilize advanced machine learning algorithms and deep learning architectures to build robust models.
Prepare, clean, and transform data for AI/ML model training in collaboration with data engineers.
Train, evaluate, and optimize AI models to ensure accuracy, scalability, and performance.
Monitor deployed AI functionalities, troubleshoot issues and implement continuous improvements.
Stay current on AI advancements and apply innovative solutions to integration challenges.

The Requirements

Experience

3+ years of experience designing and developing AI solutions.
Proven track record of integrating AI models into software applications.

Expertise

Proficiency in programming languages like Python and Java.
Strong knowledge of machine learning algorithms and deep learning architectures.
Hands-on experience with frameworks like TensorFlow, PyTorch, and scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment.
Experience working with APIs and integration methodologies.
Excellent problem-solving, analytical, and communication skills.
Ability to work both independently and collaboratively in team settings.

Tools + Skills

Python, or Java.
AWS, Azure, or GCP.
TensorFlow, PyTorch, and scikit-learn.

Perks you'll love

A generous Learning & Development Budget
Access to courses on Coursera & Stanford Continuing Studies.
Reimbursement for relevant certifications and workshops.
4-Day work a week, on the second week of every month.
Flexible working hours.
Fully-Distributed workplace. Work remotely from anywhere in the world.
Maternity & paternity leave.
Travel and speak at conferences all around the world– on our tab.
Hire-A-Star, our yummy referral program with a solid bonus.

Apply Now

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