Remote ML Engineer (Focus on NLP Technologies)

Description:

• NineTwoThree AI Studio is seeking an experienced ML Engineer with a strong focus on LLM technologies.
• The studio helps businesses harness the power of AI to increase efficiency and automation, contributing to over one billion dollars in client revenue.
• The role involves researching, developing, and implementing machine learning models, particularly focusing on language models like GPT-4.
• Responsibilities include developing and maintaining advanced machine learning models, implementing and optimizing ML solutions, and integrating AI models into existing systems.
• The technology stack includes transformer models, RAG, ReAct, LangChain, supervised and unsupervised ML, vector databases, and AWS for cloud computing.
• The position is fully remote and offers flexible working hours.

Requirements:

• Candidates must have knowledge of machine learning fundamentals and experience integrating ML models into data-driven systems.
• Proficiency in Python and SQL, along with expertise in NLP and LLMs, is required.
• Candidates should be able to quickly adapt to new technologies and problem domains.
• Familiarity with ML deployment and monitoring is necessary.
• Proven experience in machine learning and natural language processing is essential.
• An understanding of general LLM architecture and limitations, as well as features of modern LLMs, is required.
• Experience with cloud computing services, preferably AWS, is necessary.
• Strong problem-solving skills and the ability to work independently are essential.
• Excellent communication skills and the ability to collaborate in a team environment are required.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is mandatory.
• Fluency in English is required for effective collaboration with the international team.

Benefits:

• The position offers a 100% remote job opportunity.
• Employees receive paid vacations, sick leave, and holidays.
• Flexible working hours allow employees to choose when to start their day, accommodating client meetings as needed.
• The company provides accounting assistance and a well-being budget.
• Expenses for professional development courses and certifications are reimbursed.
• Hardware is provided based on business needs.
• The work environment is collaborative and innovative, with continuous opportunities for learning and growth.