GenAI Data Scientist

March 20

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Articul8 AI

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Articul8 AI is a company specializing in a GenAI platform designed to simplify and enhance the process of building sophisticated enterprise AI applications. The platform offers features such as autonomous decision-making, automated data intelligence, and a growing library of specialized models. It aims to improve accuracy and precision while ensuring 100% traceability and auditability. Articul8 provides tools for data ingestion, annotation, curation, and management, which help create high-quality datasets for multimodal and domain-specific AI models. Their solutions are engineered for regulated industries and can be deployed securely anywhere. Articul8 AI supports efficiency in knowledge discovery and offers platforms that scale effortlessly, adapt to changing datasets, and retain flexibility to avoid vendor lock-in.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional GenAI products that exceed customer expectations. • We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. • Job Description: Articul8 AI is seeking a Data Scientist to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. • You will work on machine learning models, large language models (LLMs), and AI applications while optimizing performance for production environments. • This role requires expertise in AI/ML frameworks, cloud platforms, and software engineering best practices. • You will be developing and deploying advanced deep learning and generative AI models and algorithms to enhance existing products or to create new products that fulfill critical business needs. • In this role, you will be working closely with Product Management and Engineering teams to build GenAI products at scale. • You will be responsible for transforming business needs to technical requirements and for leveraging state of the art research to develop and deliver products. • You will also support Engineering with testing and validation of the product.

🎯 Requirements

• Master’s Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 10 to 15 years of experience • In-depth knowledge and experience with algorithms for time series analysis including data pre-processing, pattern recognition, clustering, modeling and anomaly detection. • Strong expertise in Deep Learning, Machine Learning and Generative AI models (including Language, Vision, Audio and Multi-modal models) • Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory • Experience in deploying deep learning models on multiple GPUs • Experience in developing models and algorithms using ML frameworks like PyTorch, TensorFlow • Strong programming skills in one or more of the following languages - Python, Golang • Experience in building Docker images in creating scalable, efficient, and portable applications • Experience in Kubernetes for container orchestration and writing YAML manifests to define how applications and services should be deployed • Knowledge of cloud platforms at least one of AWS, Azure, GCP and its services for deployment of applications • Strong verbal and written communications skills. • Ph.D, in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 6 to 8 years of experience. • Deep expertise and experience in training/fine-tuning large language models on large GPU clusters. • Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow • Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes. • Strong working experience with at least two cloud service providers (AWS, Azure GCP). • Knowledge of CI/CD pipelines, MLOps like MLflow, Kubeflow, or TensorBoard. • Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering. • Ability to transform business needs to technical requirements, define tasks, metrics and milestones. • Ability to communicate technological challenges and achievements to various stakeholders.

🏖️ Benefits

• Professional development opportunities, including training and mentorship programs • Flexible work arrangements, • Access to the latest technologies and tools • Regular social events and team-building activities • A supportive and inclusive work environment