Work Set Up: Remote

Type of Contract: Full Time

The Machine Learning Engineer is responsible for developing and implementing comprehensive data solutions utilizing AI and machine learning implementation to address business needs. In this role, you will contribute to the development and implementation of innovative AI/ML solutions across various business areas. You will work closely with senior engineers and data scientists to research, design, and deploy AI/ML models that address critical business challenges and drive impactful outcomes.

What does a day in the life as a Machine Learning Engineer look like?

• Contribute to the development and maintenance of AI-powered chatbots (e.g.,Wonderchat)
• Assist in improving chatbot performance, including accuracy, response time, and user experience and Conduct experiments and analyze results to optimize prompt effectiveness
• Participate in the design and implementation of conversational AI solutions
• Develop and refine prompts for various AI applications, such WritingAssist a DigitalQA
• Develop and implement predictive models for various business use cases
• Analyze data, build models, and evaluate their performance
• Prepare and clean datasets for model training and evaluation
• Engineer relevant features to improve model accuracy and performance
• Stay abreast of the latest advancements in AI/ML and explore new technologies and techniques.
• Conduct research and experiments to identify and evaluate new AI/ML solutions for business challenges
• Collaborate effectively with cross-functional teams, including data scientists, engineers, and business analysts
• Communicate technical concepts and findings clearly and concise

What are the required qualifications for a Machine Learning Engineer?

• Bachelor's degree in Computer Science, Data Science, or a related fie
• Strong understanding of AI/ML fundamentals, including supervised and unsupervised learning, deep learning, and natural language processing (NLP)
• Experience with Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with implementations of frameworks using either of the following: OpenAI, Vortex AI, LangFlow, Databricks, Gemini
• Excellent analytical and problem-solving skills
• Strong communication and interpersonal skills
• A passion for learning and a desire to stay updated on the latest AI/ML trends

Core Competencies:

• Analytical Skills
• Technical Skills
• Process Improvement and Optimization
• Problem-solving Skills
• Data Management
• Critical Thinking
• Detail Oriented
• Customer Focus
• Teamwork
• Results-oriented

Ninja Perks and Benefits

*Full time employees

• Competitive compensation
• Adherence to government-mandated benefits
• Retirement Savings Program with Company Matching
• Life Insurance
• HMO on day 1
• Paid time off, birthday leave
• Bonus and incentive plans
• Opportunities for skills training and personal and professional development

Experience infinite fun so you can have infinite growth. Discover a better way to grow at SupportNinja Are you ready?

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