Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications. Company Details Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users. Website: https://www.conqr.ai/ Requirements - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role. - Strong experience training, fine-tuning, and deploying machine learning models to production. - Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn. - Experience operating and maintaining production ML systems. - Hands-on experience with AWS, GCP, or Azure cloud platforms. - Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms. - Strong understanding of API design and distributed system architecture. - Experience implementing MLOps practices, CI/CD pipelines, and model monitoring. - Experience with Docker and Kubernetes. - Knowledge of PostgreSQL and modern data infrastructure. - Experience with LLMs, RAG systems, and vector databases is a strong plus. - Excellent written and verbal communication skills in English. Responsibilities - Own end-to-end delivery of production AI and ML systems from experimentation to deployment. - Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models. - Build and maintain training, data processing, and inference pipelines. - Improve model performance across accuracy, latency, reliability, and cost. - Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining. - Develop evaluation frameworks, benchmark datasets, and quality checks for production models. - Design and maintain scalable APIs and services that expose AI capabilities. - Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows. - Monitor production systems and continuously improve model and infrastructure performance. - Research and evaluate emerging AI techniques, tools, and frameworks. Job Details Location: Remote Interview Process - Recruiter Screening - Hiring Manager Discussion - Applied AI Technical Assessment - Founder Round - Final HR Discussion Important Note ClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer.