AI Engineer

4 days ago

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DevSavant

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DevSavant is a digital solutions provider that empowers B2B SaaS companies by offering comprehensive services such as nearshore outsourcing, data engineering, software development, digital marketing, and UX/UI design. With a focus on the American market and leveraging talent from Latin America, DevSavant positions itself as an extension of its clients' teams to facilitate growth, adaptability, and market competitiveness. The company also offers specialized services in Salesforce management and WordPress development, striving to enhance operational efficiency and online presence for its clients.

51 - 200 employees

Founded 2020

🤝 B2B

☁️ SaaS

📋 Description

• At DevSavant, we are a trusted technology partner delivering cutting-edge solutions across Software Development, Data Engineering, AI/Machine Learning, Cloud Services, Automation Testing, and UI/UX Design. • Our client offers a cloud-based, AI-powered platform that helps accounting, tax, audit, and bookkeeping professionals streamline operations and enhance productivity through an all-in-one solution. • We are looking for an experienced AI Engineer (3–5 years) to help design and implement intelligent features across the platform. • The AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions to enhance the platform. • You will work closely with cross-functional teams, including product managers, data scientists, and software engineers, to implement machine learning models, optimize AI systems, and integrate these capabilities into our cloud-based platform. • You will have the opportunity to contribute to meaningful AI innovations that improve workflows, automate processes, and deliver measurable value to our customers. • This is a remote work-from-home position with occasional travel required for team meetings, conferences, and client engagements.

🎯 Requirements

• 3–5 years of experience in AI, machine learning, or data science, with a strong track record of developing and deploying machine learning models. • Experience working with cloud-based platforms (AWS, Google Cloud, etc.) is a plus. • Proficiency in machine learning algorithms, deep learning, and natural language processing (NLP). • Experience with popular AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. • Strong coding skills in Python (or other relevant programming languages) and familiarity with data manipulation libraries such as NumPy, Pandas, and Matplotlib. • Knowledge of SQL and experience working with databases is a plus. • Strong understanding of data preprocessing, feature engineering, and model validation techniques. • Ability to work with large datasets and implement efficient data pipelines. • Experience with deploying and integrating machine learning models into cloud platforms (AWS, Google Cloud, Azure) and knowledge of containerization tools like Docker is beneficial. • Strong analytical skills and a problem-solving mindset. • A Bachelor's degree in Computer Science, Data Science, Engineering, or a related field is required. • A Master's degree or certification in AI/ML is a plus.