AI/ML Engineer

SupportNinja; United States; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Retirement Savings Program

Life Insurance

Paid time off

Bonus and incentive plans

Skills training opportunities

Job summary

United States Digital Space LLC is looking for a dedicated AI/ML Engineer to implement data solutions utilizing AI and machine learning. In this role, you will collaborate with teams to develop innovative AI applications that meet business needs.

Key responsibilities include building AI models, working on chatbots, and optimizing data performance. This full-time position offers remote work flexibility and several perks including competitive compensation and a retirement savings program.

Qualifications

• 2 years of related AI/ML Engineer experience.
• Strong understanding of AI/ML fundamentals, including supervised and unsupervised learning.
• Experience with AI/ML libraries and frameworks.

Responsibilities

• Contribute to the development and maintenance of AI-powered chatbots.
• Participate in the design and implementation of conversational AI solutions.
• Develop and implement predictive models for various business use cases.

Skills

AI/ML fundamentals

Python

TensorFlow

Deep learning

Natural Language Processing

Analytical skills

Problem-solving

Communication skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

TensorFlow

PyTorch

scikit-learn

OpenAI

Vortex AI

LangFlow

Databricks

Gemini

Job description

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)