Senior Applied AI Engineer - Remote

About the role

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: 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. Highlights Build and deploy real-world AI systems, train and fine-tune models, and own the complete journey from research to production impact. Originally posted on Himalayas

Skills mentioned in the listing

PythonDockerKubernetesAWSAzureGoogle CloudCI/CDPostgreSQLMachine learningPyTorchTensorFlowRecruitment

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
e-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. Hand

Docker · requirement-context
nting 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 i

Kubernetes · requirement-context
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

AWS · requirement-context
nce 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 unders

Azure · requirement-context
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 AP

Google Cloud · requirement-context
perating 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 understandi

CI/CD · requirement-context
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.

PostgreSQL · requirement-context
, 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 a

Machine learning · requirement-context
ed AI Engineer - Remote 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

PyTorch · requirement-context
earning 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

TensorFlow · requirement-context
odels 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 cl

Recruitment · mentioned
al Assessment Founder Round Final HR Discussion Important Note ClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer. Highlights Build and deploy real-world AI systems, train and fine-tune mo