Machine Learning Engineer

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

• Experience with LLMs, Hugging Face Transformers, or LangChain.
• Background in chatbot development, RAG pipelines, or vector databases.
• Knowledge of big data tools (e.g., Spark, Hadoop) and SQL/NoSQL databases.
• Strong communication skills and ability to work cross-functionally.

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.