AI/ML Engineer
3 days ago
About Us:
We're a small, passionate team on a mission to empower businesses with innovative AI solutions. Our focus is on developing cutting-edge applications that leverage the power of Large Language Models (LLMs) and other AI technologies to solve real-world business challenges.
We're a compact team of dedicated developers looking for our next team member to join us on this exciting journey. We value self-motivation, rapid delivery, dedication, and honesty above all else.
The Role:
We're seeking an experienced AI/ML Engineer to develop and implement cutting-edge AI solutions for our Business Accelerator platform. You'll work remotely, collaborating with our international team to create AI-powered features that drive business growth and revolutionize how SMBs leverage AI technology.
Key Responsibilities
- Design, develop, and implement AI and machine learning models, with a focus on NLP and conversational AI
- Fine-tune and optimize large language models (LLMs) for specific business use cases
- Create and improve AI-driven features such as chatbots, automated lead generation, and predictive analytics
- Collaborate with backend (Django) and frontend (React) teams to integrate AI models into our platform
- Develop and maintain data pipelines for model training and inference
- Analyze data to improve model performance and generate actionable business insights
- Implement MLOps practices to streamline model deployment and monitoring
- Stay updated on the latest AI/ML technologies and implement them as appropriate
- Contribute to the development of AI strategy and roadmap for the product
- Ensure AI solutions are scalable, efficient, and optimized for cloud deployment
Required Skills
- 1+ years of experience in AI/ML development, preferably in a product-focused environment
- Strong proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers)
- Extensive experience with NLP techniques and working with large language models
- Solid understanding of deep learning architectures and training methodologies
- Proficiency in developing and deploying machine learning models in cloud environments (AWS, GCP, or Azure)
- Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, or equivalent)
- Strong skills in data preprocessing, feature engineering, and model evaluation
- Familiarity with SQL and NoSQL databases for handling large datasets
- Experience with version control systems (Git) and collaborative development practices
- Solid understanding of software engineering principles and best practices
- Strong problem-solving skills and ability to optimize ML models for performance and scalability
- Excellent written and verbal communication skills in English
Preferred Qualifications
- Advanced degree in Computer Science, AI, Machine Learning, or related field
- Experience with reinforcement learning and its applications in conversational AI
- Familiarity with web development concepts, RESTful APIs, and microservices architecture
- Knowledge of ethical AI practices, bias detection, and mitigation techniques
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly)
- Understanding of DevOps practices and containerization technologies (Docker, Kubernetes)
- Contributions to AI/ML open-source projects or research papers
- Experience with real-time machine learning systems and online learning algorithms
- Familiarity with AI explainability techniques and tools
What We Offer
- Opportunity to work on challenging AI problems with real-world impact for SMBs
- Flexible remote work environment with a focus on work-life balance
- Potential for equity in a fast-growing AI startup
- Resources for continued learning, conference attendance, and professional development
- Competitive salary based on experience and local market rates
- Chance to shape the AI strategy of an innovative startup
Special Notes for Asian Candidates
Ability to work in time zones compatible with US business hours (some overlap required)
Strong self-management skills and ability to work independently in a remote setting
Familiarity with international business practices and communication norms
Reliable high-speed internet connection required
Opportunity to be a key player in bringing cutting-edge AI technology to diverse markets
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