AI/ML Engineer

Vyrill is at the forefront of innovation, driving digital transformation and harnessing the power of video data to create exceptional value for our clients. Vyrill helps brands and retailers boost revenue and customer acquisition by utilizing the power of in-video search for insights and commerce. Vyrill is training machines to watch videos and understand them for e-commerce. We specialize in solving complex challenges in the eCommerce space through advanced AI and machine learning solutions. Our mission is to accommodate brands and user-generated content (UGC) creators by leveraging AI to optimize and personalize their video content strategies. We are looking for a talented and passionate AI/ML Engineer to join our dynamic team and contribute to revolutionizing the way businesses and creators engage with their audiences.

Want to know more?

As an AI/ML Engineer at Vyrill, you will play a critical role in designing, developing, and deploying cutting-edge machine learning models and AI solutions tailored for the eCommerce industry. You will collaborate with cross-functional teams to identify business problems, develop innovative solutions, and implement scalable and efficient AI models. Your expertise will help drive our data-driven strategy and enhance our products and services, providing exceptional value to brands and UGC content creators.

What you’ll be working on:

● Design, develop, and deploy machine learning models and AI solutions to solve complex business problems.

● Collaborate with data scientists, data engineers, and software developers to integrate AI models into production systems.

● Conduct thorough research and experimentation to identify the best approaches and techniques for various AI/ML challenges.

● Preprocess and analyze large datasets to extract meaningful insights and prepare them for modeling.

● Develop and maintain scalable and efficient data pipelines for training and deploying AI models.

● Evaluate model performance and continuously improve algorithms based on feedback and real-world data.

● Stay updated with the latest advancements in AI/ML technologies and tools, and apply them to enhance our solutions.

● Document processes, models, and methodologies to ensure reproducibility and knowledge sharing within the team.

● Collaborate with diverse multiple stakeholders to understand business requirements and translate them into technical solutions.

What you bring:

● Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.

● Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successfully deployed models and projects.

● Experience with natural language processing (NLP) and computer vision.

● Start experience and what it takes to deliver high quality products that scale in a fast paced environment.

● Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

● Solid understanding of data structures, algorithms, and statistical methods.

● Experience with data preprocessing, feature engineering, and model evaluation techniques.

● Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

● Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

● Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

● Familiarity with version control systems (Git) and continuous integration/continuous deployment (CI/CD) pipelines.

● Understanding and application of MLOps practices and tools for model monitoring and management.

● Willingness to learn fast and continuously push the boundaries, staying on the cutting edge of what’s possible. AI is evolving fast.

Bonus:

● Background in eCommerce and understanding of its unique challenges and opportunities.

● Knowledge of big data technologies such as Hadoop, Spark, or Apache Kafka.

● Familiarity with search, recommendation systems and personalization algorithms.

● Experience with social media data analysis and sentiment analysis.

● Understanding of user-generated content (UGC) dynamics and related AI applications.

● Familiarity with cloud-based AI services and tools (e.g., AWS SageMaker, Google AI Platform).

How to APPLY:

If interested, please email CEO & Co-founder Ajay Bam at jobs@vyrill.com with your LinkedIn profile,

resume, cover letter, and portfolio of relevant work. Thank you for choosing to apply with us.