Key Responsibilities

Maintain and improve existing ML models developed in Databricks notebooks.
Design and deploy scalable AI/ML solutions, including NLP-based chatbots and predictive systems.
Collaborate with business stakeholders to identify and prioritize AI use cases.
Build and manage end-to-end ML pipelines, from data ingestion to model monitoring.
Prototype and evaluate new AI technologies (e.g., LLMs, embeddings, RAG, computer vision).
Ensure model performance, reliability, and compliance in production environments.
Document model development processes and communicate findings to technical and non-technical audiences.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
5+ years of experience in data science, machine learning, or AI engineering roles.
Proven experience with supervised and unsupervised learning, NLP, and deep learning.
Proficiency in Python and ML/DL libraries (e.g., scikit-learn, PyTorch, TensorFlow).
Experience with Databricks, Jupyter Notebooks, Azure ML Flow, and Azure.
Strong understanding of data structures, algorithms, and statistical modeling.
Familiarity with MLOps tools (e.g., MLflow, Airflow, DVC) and deployment frameworks (e.g., Docker, Kubernetes).

Preferred Qualifications

Why Join Us?

Drive innovation in a company committed to AI transformation.
Work on real-world AI applications with measurable business impact.
Collaborate with a forward-thinking team in a flexible, growth-oriented environment.

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