Senior AI/ML Engineer

19 hours ago


Bengaluru, Karnataka, India Hire Nema Full time US$ 1,50,000 - US$ 2,00,000 per year

About HireNema

HireNema is an AI-powered, agentic screening platform that helps CTOs and hiring managers evaluate thousands of candidates with speed and precision.

We combine 
cutting-edge machine learning models
 with 
psychometric analysis
 to deliver accurate, fair, and data-driven hiring decisions.

We are scaling fast, and we're looking for a 
Senior AI/ML Engineer
 to join our core product team and shape the future of intelligent hiring.

Role Overview

As a Senior AI/ML Engineer at HireNema, you'll take ownership of 
end-to-end AI/ML solutions
 — from research and prototyping to large-scale deployment.

You'll be designing algorithms that not only perform at scale but also meet the highest standards for accuracy, transparency, and fairness.

If you live and breathe 
Python
 and know how to turn data into real-world impact, this role is for you.

Key Responsibilities

  • Lead
     the design, development, and optimization of AI/ML models for candidate evaluation, scoring, and ranking
  • Own the ML pipeline
    : data ingestion, preprocessing, feature engineering, model training, validation, deployment, and monitoring
  • Build 
    production-grade AI systems
     in Python with libraries like 
    TensorFlow

    PyTorch

    Scikit-learn
    , and 
    Hugging Face Transformers
  • Apply best practices for 
    model explainability, bias detection, and fairness
     in AI systems
  • Collaborate with product managers and engineers to seamlessly integrate AI into the HireNema platform
  • Mentor junior ML engineers and review their code for performance, scalability, and maintainability
  • Stay ahead of AI/ML advancements and recommend practical adoption strategies

Required Skills & Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, or related fields
  • 2+ years of professional experience in AI/ML
     with hands-on Python programming expertise
  • Strong knowledge of data structures, algorithms, and software engineering best practices
  • Proven experience in building, training, and deploying ML models at scale (preferably in production environments)
  • Expertise in at least one domain: NLP, recommendation systems, predictive analytics, or computer vision
  • Proficiency with 
    Python
     data stack: Pandas, NumPy, Matplotlib/Seaborn for EDA
  • Experience with cloud platforms (
    AWS

    GCP

    Azure
    ) and MLOps tools (
    Docker

    Kubernetes

    MLflow

    Airflow
    )
  • Ability to translate business problems into well-defined ML solutions

Nice-to-Have Skills

  • Experience in 
    explainable AI
     and building trust in AI outputs
  • Knowledge of 
    large language models (LLMs)
     and prompt engineering
  • Contributions to open-source AI/ML projects
  • Experience in 
    high-volume, high-performance systems

What We Offer

  • Ownership of high-impact AI features used by real customers
  • A collaborative, high-performance team culture
  • Access to the latest AI/ML tools, frameworks, and cloud infrastructure
  • Flexible work environment focused on results

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