Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
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- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
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Data Science Mid level Full Time
Employment Type:Full-Time
Work Setup: Remote/WAH
Equipment:Company-provided
The AI/ML 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 an AI/ML 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 Writing Assist 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 concisely
What are the required qualifications for an AI/ML Engineer?
- 2 years of related AI/ML Engineer experience● Bachelor's degree in Computer Science, Data Science, or a related field
- 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
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
- Employee Referral Program
- Beautiful office space (for onsite employees)
- Free lunch provided daily (for onsite employees)
If you are interested, you can access your instant interview here:
#supportninjajobs
Originally posted on Himalayas
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Where this listing came from
- 08 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.