AI/ML Engineer

Key ResponsibilitiesMaintain 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 QualificationsBachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field5+ years of experience in data science, machine learning, or AI engineering rolesProven experience with supervised and unsupervised learning, NLP, and deep learningProficiency in Python and ML/DL libraries (e.g., scikit-learn, PyTorch, TensorFlow)Experience with Databricks, Jupyter Notebooks, Azure ML Flow, and AzureStrong understanding of data structures, algorithms, and statistical modelingFamiliarity with MLOps tools (e.g., MLflow, Airflow, DVC) and deployment frameworks (e.g., Docker, Kubernetes)Preferred QualificationsExperience with LLMs, Hugging Face Transformers, or LangChain.Background in chatbot development, RAG pipelines, or vector databaseKnowledge of big data tools (e.g., Spark, Hadoop) and SQL/NoSQL databases.Strong communication skills and ability to work cross-functionallyWhy Join Us?Drive innovation in a company committed to AI transformationWork on real-world AI applications with measurable business impactCollaborate with a forward-thinking team in a flexible, growth-oriented environment.