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Responsibilities
- Develop, train, and deploy machine learning models and AI algorithms tailored to client needs and project requirements.
- Apply mathematical techniques, machine learning algorithms, and data structures to build scalable solutions.
- Integrate Knowledge Graphs and Vector Databases to enhance the functionality and intelligence of AI systems.
- Collaborate with cross-functional teams to integrate machine learning solutions into our SaaS products and operational models.
- Analyze large datasets to extract meaningful insights and inform the development of AI-driven solutions.
- Optimize machine learning models for performance, scalability, and reliability in production environments.
- Stay updated with the latest advancements in AI and machine learning, incorporating cutting-edge techniques into our projects.
- Work closely with software engineers to ensure seamless integration of AI models with existing systems.
- Conduct rigorous testing and validation of AI models to ensure accuracy, efficiency, and robustness.
- Participate in code reviews, provide feedback, and ensure adherence to best practices in AI/ML development.
- Develop and maintain documentation for AI models, algorithms, and processes.
- Engage in continuous learning and contribute to the AI community within the company, fostering a culture of innovation.
Requirements
- Proven experience as a Machine Learning Engineer, AI Engineer, or in a similar role with a strong focus on AI and machine learning.
- Proficiency in programming languages commonly used in AI/ML, such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud-based AI/ML services (e.g., AWS SageMaker, Google AI Platform).
- Strong understanding of mathematics, data structures, algorithms, and software engineering principles.
- Hands-on experience with model training, hyperparameter tuning, and deployment in production environments.
- Knowledge of Knowledge Graphs and Vector Databases, and their application in enhancing AI systems.
- Ability to work with large datasets, including data cleaning, preprocessing, and feature engineering.
- Experience with specialized AI domains such as natural language processing (NLP), computer vision, reinforcement learning, or related fields is a plus.
- Strong problem-solving skills and the ability to handle complex technical challenges.
- Excellent communication skills, with the ability to articulate complex AI concepts to technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related field is preferred.
- A passion for AI and a commitment to staying at the forefront of technological advancements.
Salary and Package
- Competitive salary, reflective of experience and expertise.
- Flexible working arrangements, including remote work options.
- Opportunities for professional development, including access to AI conferences, training, and certifications.
- A collaborative startup culture that fosters creativity, innovation, and continuous learning.
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