Machine Learning Engineer

Apt; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A cutting-edge technology company is seeking a Machine Learning Engineer to maintain and enhance existing ML models and design scalable AI solutions. The ideal candidate will have over 5 years of experience in data science or AI engineering, proficiency in Python and ML libraries, and familiarity with tools like Databricks and Azure ML. Join a dynamic team focused on real-world applications of AI with opportunities for professional growth and innovation.

Qualifications

• 5+ years of experience in data science, machine learning, or AI engineering roles.
• Proven experience with supervised and unsupervised learning, NLP, and deep learning.
• Strong understanding of data structures, algorithms, and statistical modeling.

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.
• Build and manage end-to-end ML pipelines, from data ingestion to model monitoring.

Skills

Python

Machine Learning

Deep Learning

Natural Language Processing

Data Science

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field

Tools

Databricks

Azure ML Flow

Docker

Kubernetes

TensorFlow

PyTorch

Job description

Join to apply for the Machine Learning 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 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.

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Information Technology and Engineering

Industries

Staffing and Recruiting

Benefits

• Medical insurance
• Vision insurance
• 401(k)