
Senior AI/ML Engineer
19 hours ago
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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