Description review
AI/ML Engineer
SupportNinja · Philippines · back to the listing
HR standards
69/100
needs work
Title ↔ description
80/100
solid
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
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- Senior AI Engineer – Notebooks Datadog
Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- 31 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
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
Ninja1 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
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
Ninja1 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