MID-LEVEL AI ENGINEER

We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI models and intelligent systems that solve real-world problems. You will work on projects spanning natural language processing, computer vision, generative AI, and applied machine learning, collaborating closely with product managers, data engineers, and other AI specialists. This role is ideal for someone with solid experience in building AI/ML solutions who is ready to take ownership of core components of our AI stack while continuing to grow into a senior technical leader. The Ideal Candidate would be required to ; ● Design, train, evaluate, and fine-tune AI/ML models for production use. ● Implement state-of-the-art algorithms in areas such as NLP, computer vision, recommender systems, or time-series forecasting. ● Optimize models for performance, scalability, and cost efficiency in cloud and edge environments. Data Engineering & Processing ● Collaborate with data engineers to collect, clean, and preprocess large datasets. ● Develop automated data pipelines for training and inference workflows. System Integration & Automation ● Integrate AI models into web, mobile, and enterprise applications using APIs and microservices. ● Collaborate with software engineers to ensure seamless integration and deployment in production systems. ● Develop and manage workflow automations using tools such as n8n, Zapier, or similar platforms to streamline data flows, trigger AI processes, and integrate multiple services. Research & Innovation ● Stay up to date with the latest AI research and assess applicability to business use cases. ● Prototype new concepts and evaluate feasibility through proof-of-concepts and pilot projects. Collaboration & Documentation ● Work closely with cross-functional teams to translate business requirements into technical solutions. ● Document model architecture, training processes, and deployment guidelines for maintainability and knowledge transfer. Requirements ● Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master’s preferred). ● 3–5 years of experience in AI/ML development. ● Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. ● Solid understanding of machine learning fundamentals, data structures, and algorithms. ● Experience deploying models to production environments (AWS, Azure, GCP, or on-premise). ● Familiarity with version control (Git) and containerization (Docker, Kubernetes). Preferred: ● Experience with large language models (LLMs) and prompt engineering. ● Knowledge of MLOps tools and practices (MLflow, Kubeflow, Airflow). ● Experience with automation and integration platforms like n8n or Zapier. ● Exposure to data visualization libraries (Matplotlib, Plotly) and analytics platforms. ● Understanding of ethical AI principles, bias mitigation, and model interpretability. Soft Skills ● Strong problem-solving and analytical thinking. ● Excellent communication and teamwork abilities. ● Ability to work independently and manage multiple priorities in a fast-paced environment.