AI / ML Engineer

WHAT YOU’LL DO :

Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals

Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities

Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models

Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics

Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems

Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions

Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration

Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions

Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows

Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues

Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments

WHAT YOU’LL NEED :

Proven experience as an AI Engineer, Machine Learning Engineer, Data Engineer or AI Architect, with a track record of successful AI solution design and implementation

Strong programming skills in Python, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.)

In-depth knowledge of machine learning techniques, algorithms, and model evaluation

Familiarity with big data technologies, cloud platforms, and distributed computing

Excellent problem-solving abilities and analytical thinking

Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders

Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members

Experience building and deploying AI / ML-powered products to live production