About us:
At Articul8 AI, we relentlessly pursue excellence and create exceptional AI 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 Senior or Staff AI/ML Engineer to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will work on regression and classification AI/ML models, integrating them with LLM Agentic frameworks, while optimizing performance for production environments. This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices for training and deploying at scale.
Responsibilities:
Design, develop, and deploy AI/ML models for production use, from traditional ML regression algorithms to transformers-based architectures.
Train, fine-tune, and optimize deep learning and LLM-based solutions.
Collaborate with researchers, software engineers, and product teams to integrate AI capabilities into our applications.
Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency.
Optimize models for cloud and on-prem environments, ensuring low latency and high availability.
Develop APIs and microservices to serve AI models in production.
Stay up to date with the latest AI trends, research, and best practices.
Ensure ethical AI practices, data privacy, and security compliance.
Required Qualifications:
8+ years of experience in AI/ML modeling development and deployment.
Master’s / PhD in Computer Science, AI, Machine Learning, or an equivalent engineering field.
Strong programming skills in Python or PyTorch
Experience with LLMs, NLP, computer vision, or reinforcement learning.
Experience with containerization (Docker, Kubernetes)
Proficiency in data preprocessing and model evaluation techniques, as well as MLops like MLflow, Kubeflow.
Experience with distributed computing frameworks (Spark, Ray, Dask).
Experience with AWS, GCP, or Azure for AI model deployment.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Preferred Qualifications:
Experience in multi-cloud AI deployments.
Prior experience as technical lead, guiding junior engineers and data scientist throughout product life-cycles, from POC to model deployment.
Prior experience working on AI SaaS platforms.
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.
