Engineer AI

Job Title: AI Engineer
Location: Remote
Salary Range: $30000 $70000/year (depending on location) equity

About Us: We are a fastgrowing 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.

Were 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 fastpaced dynamic environment and is excited to take ownership of AIrelated projects.

The Role: As our AI Engineer youll work closely with the engineering product and data teams to integrate machine learning models and AIpowered features into our platform. Youll 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 realworld 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 endtoend 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 Scikitlearn).

• 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 cloudnative environment.

• Experience with MLOps best practices including version control automated testing and CI/CD pipelines for machine learning models.

• Strong analytical and problemsolving skills with an ability to work through ambiguity and adapt to a fastpaced startup environment.

NicetoHaves:

• 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 crossfunctional 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 nontechnical 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 fastmoving startup where youll have the opportunity to make a real impact with cuttingedge AI technologies.

• Work in a flexible remotefriendly 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.

Remote Work :

No