
Machine Learning Engineer @ .AI
20 hours ago
- Master's degree in Computer Science, Mathematics, Physics, or a related field, or equivalent experience
- At least 6 years of experience in the ML field including developing production grade solutions
- Proficiency in Python and ML stack of choice
- Experience working with at least one cloud platform (AWS, Google Cloud, Azure), deploying ML models and ML pipelines in production environments
- You are a lifelong, humble learner, continuously seeking to expand your knowledge and skills in the rapidly evolving field of AI
- Excellent communicator, able to effectively discuss ideas, collaborate with diverse team members and present complex information to both technical and directly to non-technical stakeholders
- You have experience in mentoring or guiding junior team members in technical matters and best practices, and you love to do that
- English - at least C1 (you'll work in a multinational environment)
We are looking for an exceptional Machine Learning Engineer specialized in Natural Language Processing (NLP) and Large Language Models (LLMs) who is excited to solve real-world problems. As an independent contributor, you'll play a key part in implementing cutting-edge language technologies and shaping our evolving NLP stack.
We strongly believe in demonstrating value first and iterating on solutions, rather than developing perfect but unwanted products. In this role, you'll have the opportunity to fine-tune LLMs, develop prompt engineering frameworks, and create optimized processes for deploying and monitoring NLP models in production environments. You'll work with our clients to implement language understanding solutions and build their internal NLP expertise. If you're proactive, adaptable, and passionate about crafting language-driven AI solutions with tangible impact, we'd love to hear from you.
While we've outlined the ideal skill set for this role below, don't worry if you don't meet all the criteria. We're always excited to connect with talented individuals who have strong foundations in transformers architecture, contextual embeddings, and modern NLP techniques who share our vision.
,[Develop, implement, and validate NLP and LLM solutions tailored to specific language-processing project requirements., Understand clients' text processing needs and translate business problems into NLP-specific data science problems., Design scalable language model architectures with appropriate fine-tuning and optimization strategies., Develop efficient text processing pipelines and prompt engineering workflows, ensuring the highest standards of data quality and security., Collaborate with Data Engineering and Software Engineering teams to build and deploy LLM-powered applications in production environments., Present NLP findings, model performance metrics, and language understanding recommendations clearly and concisely to stakeholders., Effectively plan and prioritize NLP model development tasks within an Agile/Scrum framework, balancing technical requirements with business value.] Requirements: Machine learning, Python, pandas, SQL, Linux, Docker, Git, MLflow, AI, Video processing, Data management, dbt, Data pipelines, PostgreSQL, LLM, NLP, Airflow, FastAPI Tools: . Additionally: Canteen, Free coffee, Shower, Free snacks.-
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