AI/ML Engineer

Join Our Team of Innovators!

We're seeking an exceptional AI/ML Engineer to spearhead the design, development, and deployment of AI systems from the ground up. If you're passionate about tackling intricate AI challenges, constructing scalable AI solutions, and working at the forefront of machine learning technologies, we encourage you to apply.

Who You Are

• A Self-Starter: You take initiative and thrive in a dynamic, fast-paced environment.
• Tech Enthusiast: You're passionate about Angular, Java Spring Boot, Microservices, and the potential of AI.
• Problem Solver: You possess strong analytical skills and can effectively debug and troubleshoot complex issues.
• Team Player: You're comfortable working independently but also excel in a collaborative team setting.
• Domain Experience: You have experience working with FP&A and Accounting software (required); FinTech experience is a plus.
• Build from scratch: You've been involved in building AI applications from scratch and understand the intricacies and challenges they present.

What You'll Be Doing

• AI Model Development & Deployment: Design and implement state-of-the-art AI/ML models tailored for real-world applications, emphasizing scalability, reliability, and efficiency.
• End-to-End AI System Architecture: Engineer robust data pipelines, model training environments, and inference systems from scratch.
• Large Language Model (LLM) Utilization: Build, fine-tune, and deploy transformer-based models (e.g., GPT, BERT, Llama, T5) and distillation.
• MLOps & CI/CD Integration: Automate model deployment and management through tools like MLflow, Kubeflow, and cloud-based AI pipelines.
• AI Model Optimization: Continuously refine AI models to achieve high performance, cost-efficiency, and scalability.
• Full-Stack AI Integration: Collaborate with backend (e.g., Spring Boot, Flask, Django) and frontend (e.g., Angular, React, JavaScript) teams to seamlessly integrate AI solutions into applications.
• DevOps & Cloud AI Deployment: Deploy and manage AI models using Docker, Kubernetes, and cloud services (e.g., AWS, GCP, Azure).
• Advancement of AI Capabilities: Stay informed about cutting-edge AI research, tools, and open-source contributions to drive AI innovation.
• Data Engineering and Architecture: Design and implement robust data pipelines for AI/ML model training and inference, ensuring data quality and integrity.
• Algorithm Development and Implementation: Research, develop, and implement AI/ML algorithms to address specific business needs and optimize model performance.
• Performance Monitoring and Tuning: Continuously monitor and tune AI/ML models to ensure optimal performance, accuracy, and resource utilization.
• Collaboration and Communication: Work effectively with cross-functional teams, including product managers, software engineers, and data scientists, to deliver AI-powered solutions.

Technical Skills You'll Need

• Programming Languages: Proficiency in Python, C++, Go, or Java.
• AI/ML Frameworks: Strong expertise in TensorFlow, PyTorch, Hugging Face, or similar frameworks.
• Model Architectures: Deep understanding of transformer-based and diffusion-based models (e.g., GPT, Llama, Stable Diffusion).
• MLOps Tools: Experience with MLflow, Kubeflow, or other MLOps platforms.
• Cloud Platforms: Hands-on experience with AWS, GCP, or Azure, and their AI/ML services.
• Data Processing: Proficiency in data processing tools like Pandas, Spark, or Dask.
• Database Management: Expertise in SQL and NoSQL databases (e.g., MongoDB, CouchDB, CockroachDB).
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Version Control: Proficiency in Git and other version control systems.

What We're Looking For

• 4+ years of experience in AI/ML development, data science, and model deployment.
• Strong problem-solving skills and ability to develop creative solutions for complex AI challenges.
• Solid foundation in mathematics, statistics, and machine learning algorithms.
• Ability to effectively communicate technical concepts to both technical and non-technical audiences.

What's in It for You?

• Work with Cutting-Edge AI: Tackle real-world AI challenges using the latest technologies.
• Build from Scratch: Own and shape AI strategy and infrastructure from the ground up.
• Continuous Learning: Stay ahead with training and development opportunities in AI/ML innovations.
• Dynamic Work Environment: Work in a fast-paced, collaborative, and AI-focused company.
• Exciting Projects: Integrate AI into real products and platforms that impact businesses.
• Flexible Work Setup: Competitive perks, including paid time off and a supportive team.
• Growth Opportunities: Ample opportunities for career advancement and professional development.
• Mentorship and Guidance: Learn from experienced AI/ML professionals and expand your skill set.
• Innovation and Creativity: Be part of a culture that fosters innovation and out-of-the-box thinking.

Ready to Join the Team?

If you're excited about the prospect of working on groundbreaking projects with a talented team, we encourage you to apply today!

Apply now to build AI that matters and be part of something impactful!