Job Specifications
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 Qualification
sBachelor'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 Qualificatio
nsExperience with LLMs, Hugging Face Transformers, or LangChai
n.Background in chatbot development, RAG pipelines, or vector database
s.Knowledge of big data tools (e.g., Spark, Hadoop) and SQL/NoSQL database
s.Strong communication skills and ability to work cross-functionall
y.
Why Join
Us?Drive innovation in a company committed to AI transformati
on.Work on real-world AI applications with measurable business impa
ct.Collaborate with a forward-thinking team in a flexible, growth-oriented environme
nt.
About the Company
Apt is a women-owned IT staffing and solutions firm that helps teams move faster with the right talent and delivery support. We offer contingent labor, project execution, nearshore teams, and upskilling--all built around speed, flexibility, and real partnership.
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