Apt
Overview
Join to apply for the
AI/ML Engineer
role at
Apt 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, 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 LangChai 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
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting
#J-18808-Ljbffr
Join to apply for the
AI/ML Engineer
role at
Apt 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, 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 LangChai 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
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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting
#J-18808-Ljbffr