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.