Careers

AI/ML Engineer

Join us to build AI systems that actually work in production. We're solving real automation problems, not chasing hype.


AI should make work easier, not create more complexity. At Blankline, we're building AI systems that solve real problems for real businesses.

We've seen too many companies add AI just to say they have AI. That's not us. We use machine learning where it makes sense—to automate repetitive tasks, understand user intent, and make our platform smarter with every interaction.

Our AI isn't flashy demos or marketing speak. It's production systems handling thousands of users, learning from real data, and getting better every day. We need someone who understands that the best AI is invisible—it just works.

You'll be working directly with our product and engineering teams to identify where AI can make the biggest impact. This isn't research for research's sake. Everything you build will ship to users who depend on it to get their work done.

We're remote-first and currently support hiring within India for this role.

What you'll build

  • Intelligent automation systems that understand user patterns and workflows
  • Natural language processing to make our platform conversational
  • Recommendation engines that surface the right information at the right time
  • Anomaly detection to catch issues before they become problems
  • Machine learning pipelines that scale with our growing user base
  • A/B testing frameworks to validate AI improvements
  • Monitoring and observability for ML systems in production

Our approach

  • Python for ML development with scikit-learn, TensorFlow, and PyTorch
  • MLflow for experiment tracking and model management
  • Apache Airflow for ML pipeline orchestration
  • Vector databases for semantic search and recommendations
  • Real-time inference with FastAPI and Redis
  • Kubernetes for scalable model deployment
  • PostgreSQL for structured data, S3 for model artifacts
  • Comprehensive monitoring with Grafana and custom dashboards

What we offer

  • Work on AI that actually matters
  • Genuine work-life balance (we mean it)
  • Competitive salary plus equity
  • Employee-friendly equity terms
  • Daily lunch and coffee covered
  • Work from anywhere (no office requirements)
  • Co-working space in Chennai if you want it
  • Full health, dental, vision coverage
  • Regular team meetups and offsites
  • 5 weeks paid vacation
  • 4 months paid parental leave

Requirements

What we're looking for:

  • Strong Python programming skills with hands-on experience in machine learning frameworks (scikit-learn, TensorFlow, or PyTorch)
  • Proven experience building and deploying ML models in production environments
  • Portfolio of ML projects, research work, or competition entries that demonstrate problem-solving ability
  • Understanding of data preprocessing, feature engineering, and model evaluation techniques
  • Experience with statistical analysis and experimental design
  • Track record of translating business problems into technical ML solutions
  • Ability to work with large datasets and optimize model performance
  • Strong analytical thinking and attention to data quality and model reliability
  • Experience with version control and collaborative development practices
  • Excellent communication skills for explaining technical concepts to non-technical stakeholders

Preferred qualifications:

  • Experience with MLOps tools and practices (MLflow, Airflow, or similar)
  • Background in natural language processing or computer vision
  • Knowledge of cloud platforms and containerized deployment
  • Experience with real-time inference systems and API development
  • Understanding of A/B testing and experiment design for ML systems
  • Previous work with recommendation systems or anomaly detection
  • Experience in fast-paced startup or product-focused environments

Submit your application

Please provide your GitHub username. We'll need this info to host final interview rounds.

Please provide links to your portfolio or work samples. Multiple links can be separated by commas.

Share one project that best represents your skills and passion.

Please provide the link to your LinkedIn profile.