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