ML Engineer (Focus on NLP Technologies)

100% remote | Global team | ⏳ Full-time If you’re looking to work on cutting-edge AI products, solve challenging problems, and be part of a fast-moving, high-talent team, you’ll love it here. Join NineTwoThree AI Studio , a remote-first product design, engineering, and marketing studio, founded in 2012 and based in Boston. We build AI-powered web and mobile apps for big brands and fast-moving startups. You’ll work with really smart people—the kind of teammates who challenge you, push you forward, and make you better. We move fast and focus on getting things done. We've been growing 20% every year for the last 5 years, which means there’s plenty of room for career growth and promotions. Our work speaks for itself—some of our customers found us through five layers of referrals. That’s how much people appreciate what we do. We run on clear processes and strong leadership, so while we move quickly, we don’t do chaos. We do high-quality work, and we do it right. We focus on products with a positive impact in various domains from sports and health, to logistics and nuclear. But if you're into gambling, adult entertainment, or crypto, we’re not your place. 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 solutions for 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. Requirements 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. Benefits 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. Originally posted on Himalayas