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Senior Applied AI Engineer - Remote

  • Source: Clanx
  • CLANX
  • Remote
  • India
  • Full-Time
  • Senior

Job Description

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.

Skills

  • Python
  • PyTorch
  • Tensorflow
  • Scikit-learn
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure
  • vertex
  • Docker
  • Kubernetes
  • PostgreSQL
  • benchmark
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