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 an exceptional Applied AI Researcher-MLOps to join us in shaping the future of Generative Artificial Intelligence (Gen AI). We are looking for a researcher with a proven track record of building tools that enable large cutting-edge research and product solutions. As a member of our Applied Research team, you will play a critical role in bridging the gap between data science and engineering, enabling our AI models to be deployed efficiently and reliably. You will work closely with our data scientists, software engineers, and product teams to design, implement, and maintain our MLOps pipelines, ensuring seamless model deployment, monitoring, and maintenance. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade Gen AI.

Responsibilities:

• Subject matter expertise: Design, develop, and maintain pipelines for data (crawling, cleaning, and processing) and models (deploying, monitoring, and updating).
  
• Model Deployment: Design, implement, and manage the deployment pipelines for AI/ML models, ensuring they meet performance and reliability standards in production.
  
• Infrastructure Management: Develop and maintain the infrastructure required for deploying and scaling AI/ML models, including cloud services, container orchestration (e.g., Kubernetes), and CI/CD pipelines.
  
• Monitoring and Optimization: Implement monitoring and logging systems to track the performance of models in production, identify bottlenecks, and optimize model performance and resource utilization.
  
• Team work:
  
  • Collaborate with cross-functional teams, including Product Technology, Engineering, Quality Assurance, and Customer Success, to seamlessly incorporate innovation and maintain our product technology leadership.
    
  • Participate in high-level technical discussions, contributing to technology assessment and roadmap planning.
    
  • Mentor and guide junior team members and help building a strong culture of rapid innovation.
    
• Continuously stay abreast of emerging trends and advancements in of Gen AI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.
  

Required Qualifications:

• Education: BSc or MSc degree in Computer Science, Data Science/Machine Learning, or a related field.
  
• Professional experience: 2+ years in MLOps, Dev Ops, or related roles deploying machine learning models in production environment.
  
• Core technical skills:
  
  • Cloud Platforms: AWS, Azure, GCP
    
  • Development: Python, Py Torch, Keras, Julia, Go, CI/CD pipelines, and version control.
    
  • ML Platforms: MLflow, Kubeflow, TFX (Tensor Flow Extended), serving platforms (g RPC, ONNX, JIT)
    
  • Monitoring: Prometheus, Grafana, ELK Stack
    
  • Container/Orchestration: Docker, Kubernetes, Docker Swarm, Rabbit MQ.
    
  • Theoretical foundation: deep learning, traditional machine learning, probability and statistics, natural language processing, computer vision, data wrangling and preparation, and model evaluation and interpretation.
    
• Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.
  

Preferred Qualifications:

• 3+ years of hands-on experience as an MLOps Engineer
  
• Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.
  
• Technology stack:
  
  • Infrastructure as Code (Ia C): Terraform, Cloud Formation, Ansile, etc.
    
  • Configuration Management: Ansible, Puppet, Chef
    
  • Frameworks: Django, Flask, Open API, Fast API, Spring Boot, Express.js
    
  • Databases: Postgre SQL, My SQL, Mongo DB, Redis
    

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 within cross-functional teams - 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. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.
  
• 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.
  

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.
Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.
In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:

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

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.