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. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same
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.
Responsibilities:
Design, develop, and deploy AI-driven solution in production that solve real-world problems at scale.
Train, fine-tune, and optimize deep learning and LLM-based solutions to enhance existing products or to create new products.
Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency to enhance and deliver product.
Optimize models ensuring low latency and high availability for cloud and on-prem environments.
Collaborate closely with engineering teams and product management to build GenAI products at scale.
Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering.
Develop APIs and microservices to serve AI models in production at scale.
Handle large-scale datasets, preprocessing, and feature engineering to ensuring data quality.
Responsible for transforming business needs to technical requirements to develop and deliver products.
Stay up to date with the latest AI trends, research, and best practices.
Ensure ethical AI practices, data privacy, and security compliance
Required Qualifications
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.
Preferred Qualifications
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.
Professional Attributes:
Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.
Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals.
Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.
Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.
Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.
What We Offer:
By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.
If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.
