ML Engineer (Focus on NLP Technologies)

Internetwork Expert; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

A leading product design and engineering studio is seeking an experienced ML Engineer with a strong focus on LLM technologies. In this fully remote role, you will develop and integrate machine learning models, primarily leveraging advanced techniques in NLP. Join a dynamic team pushing the boundaries of AI while contributing to impactful client projects.

Benefits

Paid vacations, sick leave, and holidays

Flexible Working Hours

Well-being budget

Reimbursement for professional development courses

Collaborative and innovative work environment

Qualifications

• Proven experience in machine learning and natural language processing.
• Fluent in English for effective collaboration.
• Ability to quickly adapt to new technologies.

Responsibilities

• Develop and maintain advanced machine learning models focusing on NLP.
• Implement and optimize ML solutions for various client applications.
• Stay abreast of the latest developments in AI and ML.

Skills

Natural Language Processing

Machine Learning Fundamentals

Python

SQL

Problem Solving

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

AWS

Job description

NineTwoThree AI Studio, a forward-thinkingproduct design and engineering studio, is seeking an experienced ML Engineer with a strong focus on LLM technologies. Our studio helps businesses to harness the power of AI to increase efficiency and automation. We are proud of our track record in creating impactful solutions and apps, contributing to over one billion dollars in client revenue. Recognized by Inc. and the Boston Business Journal for our rapid growth, we remain committed to pushing the boundaries of technology.

Role:

As an ML Engineer at NineTwoThree, you will be at the forefront of integrating and optimizing ML technologies into our diverse range of projects. Your role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4, and ensuring their seamless integration with our clients' applications.

Technology Stack:

• Transformer models.
• RAG (Retrieval-Augmented Generation).
• ReAct and LangChain for language model applications.
• Supervised and Unsupervised ML.
• Vector databases.
• AWS for cloud computing and machine learning services.
• Familiarity with TensorFlow, PyTorch, or similar frameworks.

Responsibilities:

• Develop and maintain advanced machine learning models, particularly focusing on natural language processing and understanding.
• Implement and optimize ML solutionsfor various client applications.
• Work closely with the development team to integrate AI models into existing systems.
• Experiment with new models and techniques to improve performance and capabilities.
• Participate in code reviews, maintain high coding standards, and contribute to our internal knowledge base.
• Stay abreast of the latest developments in AI and machine learning.

• Knowledge of Machine Learning fundamentals.
• Background in integrating ML models into data-driven systems.
• Experience with Python and SQL, along with expertise in NLP and LLMs.
• Ability to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring.
• Proven experience in machine learning and natural language processing.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs.
• Experience with cloud computing services, preferably AWS.
• Proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills and ability to collaborate in a team environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fluent in English for effective collaboration with our international team.

We are glad to offer you:

• 100% remote job.
• Paid vacations, sick leave, and holidays.
• Flexible Working Hours: You can choose when to start your day. 10 AM? Great. 1 PM? That’s fine with us, as long as you can attend all scheduled meetings. While we don’t expect you to be available 24/7, our ML Engineers are often requested to meet and collaborate with clients in North America during East Coast business hours. Additionally, ML Engineer may be required to attend calls with clients from West Coast, where the latest call might be scheduled at 12 PM PST. We always strive to schedule meetings earlier in the day whenever possible.
• Accounting assistance.
• Well-being budget.
• Reimbursement of expenses for professional development courses/certifications.
• Hardware upon business needs.
• Collaborative and innovative work environment with continuous opportunities for learning and growth.

Hiring process:

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd technical interview with the live coding challenge, Offer.

Join NineTwoThree Studio and be a part of a team that’s shaping the future with AI.