Senior AI/ML Engineer

1 - 6 years

9 - 13 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • As a Senior AI/ML Engineer at HireNema, youll 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
  • Bachelors, Masters, 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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