Senior Data Scientist/MLOps

Plain Concepts; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Join a dynamic AI team as a Data Scientist, where you'll develop innovative AI solutions and work on cutting-edge projects. Enjoy the flexibility of remote work and a collaborative environment that fosters technical excellence. With a focus on AI/ML, you'll tackle unique challenges and contribute to impactful projects, all while enjoying a range of benefits including flexible hours and professional development opportunities.

Benefits

Flexible schedule

Fully remote work option

Free medical and dental insurance

Budget for training or equipment

Free Microsoft certifications

Birthday day off

Monthly bonus for home expenses

Discounts on gym and sports activities

Annual team-building event

Employee discount portal

Qualifications

• More than 5 years of experience in AI / Machine Learning / Computer Science.
• Ability to build an end-to-end software product with a machine learning component.

Responsibilities

• Participating in the design and development of AI solutions.
• Building production-level ML/AI solutions with solid software engineering principles.
• Putting AI models into production and optimizing them.

Skills

Python

English

MLOps

Computer Vision

NLP

Tools

TensorFlow

PyTorch

Docker

CI/CD

Azure

Job description

We’re Growing Our AI Dream Team!

Titles? Meh, we’re not big on them, but let’s call this one Data Scientist.

As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning.

Here’s the deal:

• You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.
• You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
• Whether you prefer working from home or vibing with us at our offices, the choice is yours.
• AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.

Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen!

You will be responsible for:

• Participating in the design and development of AI solutions for challenging projects.
• Building production-level ML/AI solutions, with solid software engineering and ML/AI principles.
• MLOps: automated deployment and monitoring (models and infrastructure).
• Data analysis (data cleaning, variable transformation, etc.).
• Developing and training ML models.
• Putting AI models into production.
• This involves parallelizing, optimizing, tuning, and testing models for deployment in a production environment.

• More than 5 years of experience in AI / Machine Learning / Computer Science.

• Ability to build an “end-to-end software product” with a machine learning component.
• Knowledge in applied computer vision.
• Strong skills in Python and a reasonable understanding of SQL.
• Experience in building ML/deep learning pipelines and models.
• Experience implementing production-ready ML models using current ML/Deep learning techniques.
• MLOps experience is mandatory for the team.
• Experience in projects involving NLP/Gen AI is necessary.
• International and presales experience is highly valuable.
• English proficiency is mandatory.

Very nice to have:

• Experience with deep learning frameworks like TensorFlow, PyTorch, etc.
• Experience with Big Data projects and tools.
• Experience writing RESTful web services.
• Experience with DevOps technologies (Docker, CI/CD, etc.).
• Experience with source code version control tools.
• Experience working with Azure or other cloud platforms.
• Azure Machine Learning experience is a plus but not essential.
• Deep learning and neural networks expertise.
• Experience with NLP, Computer Vision, recommendation systems, unsupervised learning, ranking systems, or similar.
• Experience with TensorFlow Lite, TensorFlow Serving, and gRPC.
• Knowledge of unit testing.
• Solid object-oriented programming skills.

• Salary will be determined based on market and experience.

• Flexible schedule: 35 hours/week.
• Fully remote work option.
• Flexible compensation (e.g., restaurant, transport, childcare).
• Free medical and dental insurance.
• Budget for training or equipment, plus free Microsoft certifications.
• English lessons.
• Birthday day off.
• Monthly bonus for home electricity and internet expenses.
• Discounts on gym and sports activities.
• Annual team-building event.
• Additional perks: event attendance, welcome pack, baby basket, Christmas basket, employee discount portal.

Interested in sharing more about yourself?

The selection process includes three simple steps:

• Phone screening.
• Two interviews with the team.

About Plain Concepts

Plain Concepts is a global company with over 500 passionate professionals in technology and innovation. We focus on creating custom solutions for clients, with offices in more than six countries. Our mission is to lead cutting-edge projects worldwide, emphasizing technical excellence and innovation.

We are committed to diversity and equal opportunity, welcoming applicants regardless of race, gender, religion, age, or other protected characteristics.