Remote Lead AI Engineer

Description:

• Dreamix is seeking a skilled and motivated Lead AI Engineer to join their team.
• The role involves leading the development, implementation, and ongoing optimization of advanced AI solutions that create business value and enhance user experiences.
• The Lead AI Engineer will work closely with cross-functional teams to drive innovation and ensure the smooth deployment of AI-powered products and services.
• Responsibilities include driving the design, development, and deployment of advanced AI and GenAI systems to solve complex business challenges.
• The engineer will partner with cross-functional teams to translate business requirements into robust technical solutions and actionable insights.
• The position requires leading teams of 3-5 AI/ML engineers, data engineers, and MLOps professionals.
• The engineer will work closely with software developers to integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance.
• Mentoring and guiding junior data scientists and engineers while promoting best practices in AI/ML development is also a key responsibility.
• Conducting comprehensive data analysis and model validation to ensure the robustness, reliability, and scalability of AI/ML solutions is essential.
• The engineer will translate complex technical concepts and results to non-technical stakeholders clearly and persuasively, facilitating informed decision-making.
• Participation in ad hoc pre-sales efforts, leveraging technical expertise to support business development initiatives is also expected.

Requirements:

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

Benefits:

• Employees will enjoy a warm and supportive work environment where they can reach their full potential.
• The position offers flexible working hours that allow for a balance between work and personal life.
• Unlimited home office options are available to help employees stay productive and focused.
• Opportunities for professional development, including certifications and training, are provided.
• Additional benefits for academic teaching and speaking engagements are available.
• Knowledge-sharing sessions will allow employees to learn from the Dreamix team.
• Team and company-wide events will bring employees together.
• Amazing week-long summer office and winter office initiatives are part of the benefits.
• Additional health insurance and dental allowance will ensure employee well-being.
• A multisport card is provided to encourage a healthy and active lifestyle.
• Office massages are available to help employees relax and unwind.