AI Engineer (remote globally)
Free to start · No card · 5 credits the moment you sign up
Job description
Job Title: AI EngineerLocation: Remote
Salary Range: $30,000 - $70,000/year (depending on location) + equity
About Us: We are a fast-growing startup building a SaaS platform aimed at simplifying sales and marketing for freelancers, solopreneurs, and small businesses. Our vision is to leverage AI to enhance the customer experience, provide intelligent insights, and streamline workflows for our users. As a small team, we value autonomy, agility, and a passion for innovation.
We’re looking for an AI Engineer who can design, implement, and scale AI solutions to solve complex problems and drive our product forward. This role is ideal for someone who thrives in a fast-paced, dynamic environment and is excited to take ownership of AI-related projects.
The Role: As our AI Engineer, you’ll work closely with the engineering, product, and data teams to integrate machine learning models and AI-powered features into our platform. You’ll be responsible for designing AI systems, training models, and deploying them at scale on cloud infrastructure.
Responsibilities:
Design, build, and deploy AI/ML models that solve real-world problems, including recommendation systems, predictive analytics, and natural language processing (NLP) solutions.
Collaborate with product managers and stakeholders to identify AI opportunities that align with business objectives.
Collect, preprocess, and analyze large datasets to build and train machine learning models.
Implement end-to-end pipelines for deploying AI models, including data collection, feature engineering, model training, and production deployment.
Continuously improve the performance and accuracy of existing models by monitoring them in production and iterating based on user feedback and new data.
Ensure the scalability and reliability of AI systems by optimizing them for performance on cloud platforms such as AWS.
Stay up to date with the latest research and trends in machine learning, deep learning, and AI.
Required Qualifications:
3+ years of experience as an AI/Machine Learning Engineer, Data Scientist, or a related role.
Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Proven experience designing, training, and deploying machine learning models in a production environment.
Solid understanding of data structures, algorithms, and statistical methods.
Experience with natural language processing (NLP), computer vision, or deep learning models.
Proficiency in Python and familiarity with other programming languages (e.g., Java, C++).
Experience working with cloud platforms like AWS, GCP, or Azure, and deploying AI solutions in a cloud-native environment.
Experience with MLOps best practices, including version control, automated testing, and CI/CD pipelines for machine learning models.
Strong analytical and problem-solving skills, with an ability to work through ambiguity and adapt to a fast-paced startup environment.
Nice-to-Haves:
Knowledge of tools like Docker and Kubernetes for containerized AI model deployment.
Experience with recommendation systems, time series analysis, or reinforcement learning.
Familiarity with data visualization tools like D3.js, Plotly, or similar libraries.
Understanding of ethical AI and bias reduction techniques in machine learning.
Previous experience working in a startup or small team environment.
Soft Skills:
Strong collaboration and communication skills, especially when working with cross-functional teams such as product managers and designers.
A proactive attitude: able to take ownership of projects and lead initiatives.
Ability to explain complex AI concepts in simple terms to non-technical stakeholders.
Entrepreneurial mindset with a willingness to experiment and iterate quickly based on user feedback.
Passion for continuous learning and staying ahead in a rapidly evolving field.
Why Join Us?
Be part of a fast-moving startup, where you’ll have the opportunity to make a real impact with cutting-edge AI technologies.
Work in a flexible, remote-friendly environment with a culture of autonomy and innovation.
Opportunity to shape the AI strategy and architecture of a growing company.
Collaborate with a small, dynamic team where your contributions are recognized and valued.
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Vezér Group. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.