WE ARE
Handle Harmony, the nexus where technology meets branding in the digital realm. We are a tight-knit team dedicated to helping brands and public figures secure their ideal social media usernames, ensuring a seamless online persona. As we venture into new horizons, we are keen on integrating adept and innovative minds into our team.
TOGETHER
We are scouting for a Machine Learning Engineer with a knack for developing robust AI solutions. Your expertise will propel our lead generation AI engine to new heights, ensuring our outreach strategies are data-driven and effective.
YOUR RESPONSIBILITIES
- Design, develop, and deploy machine learning models to enhance our lead generation AI engine.
- Collaborate with the growth and development teams to integrate ML models into our products and services.
- Analyze large datasets to uncover trends, insights, and optimize performance.
- Stay abreast of the latest developments in the field and integrate new technologies to ensure our ML capabilities are cutting-edge.
- Ensure the robustness, performance, and scalability of ML systems.
YOUR QUALIFICATIONS
- Proficient in Python, with a strong grasp of libraries such as TensorFlow or PyTorch.
- Solid understanding of machine learning algorithms, data analysis, and model evaluation.
- Experience with natural language processing (NLP) is a plus.
- Familiarity with cloud platforms like AWS or GCP, and experience in deploying ML models in production.
- Strong problem-solving skills, and the ability to work in a collaborative, fast-paced environment.
REQUIREMENTS
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
- At least 3 years of professional experience in machine learning, data science, or a related field.
- Fluent in English, with excellent communication skills.
LOCATION
SALARY
- Competitive, commensurate with experience.
START DATE
APPLY
- Ready to tune into the future of AI-driven branding? Send your resume, portfolio, and a brief cover letter to careers@handleharmony.com with the subject line "Machine Learning Engineer Application".
