Dreamix is seeking a Lead AI Engineer to own the development, implementation, and optimization of advanced AI solutions. You will drive innovation, ensure smooth deployment of AI-powered products, and mentor team members, contributing directly to our partnership-based culture of mastery and knowledge sharing.

What You'll Do

Drive the design, development, and deployment of advanced AI and GenAI systems to solve complex business challenges.
Partner with cross-functional teams to translate business requirements into robust technical solutions and actionable insights.
Lead teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals.
Work closely with software developers to integrate AI and data-driven modules into larger software solutions.
Mentor and guide junior data scientists and engineers, promoting best practices in AI/ML development.
Conduct comprehensive data analysis and model validation to ensure robustness, reliability, and scalability of AI/ML solutions.
Translate complex technical concepts and results to non-technical stakeholders clearly and persuasively.
Participate in ad hoc pre-sales efforts, leveraging technical expertise to support business development initiatives.

What We're Looking For

Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
7-8 years experience in data science, machine learning, AI engineering or software development.
Demonstrated track record of deploying machine learning models and AI solutions in production environments.
In-depth knowledge of transformer-based models such as BERT.
Experience with LLMs: commercial (Anthropic, OpenAI) and non-commercial (e.g. Llama).
Knowledge of prompt-engineering techniques such as CoT, few-shot learning, and fine-tuning/PEFT.
Proficiency in Python, including common frameworks and packages: numpy, pandas; Scikit-learn; TensorFlow, PyTorch; Spacy; LangChain, LlamaIndex.
Familiarity with cloud computing platforms, specifically the AWS suite.
Hands-on involvement in deploying models using containerization and orchestration tools like Docker and Kubernetes.
Exceptional problem-solving skills and a strategic mindset, with the ability to drive change and influence organizational direction.
Strong leadership capabilities and excellent communication skills, with the ability to engage teams and stakeholders.

Technical Stack

Languages & Core: Python, numpy, pandas, Scikit-learn
Frameworks: TensorFlow, PyTorch, Spacy, LangChain, LlamaIndex
Cloud & Infrastructure: AWS, Docker, Kubernetes

Team & Environment

You will lead teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals. Our culture is built on partnership, investing in our people, and a shared commitment to mastery, teamwork, and knowledge sharing.

Benefits & Compensation

A warm and supportive work environment.
Flexible working hours.
Unlimited home office.
Opportunities for professional development, including certifications and training.
Additional benefits for academic teaching and speaking engagements.
Knowledge-sharing sessions.
Team and company-wide events.
Amazing week long summer office and winter office initiatives.
Additional health insurance and dental allowance.
Multisport card.
Office massages.