Find Jobs
Find Jobs Near You – Available Work in Your Location
AL ML Engineer
Career Insights for Machine Learning Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Pennsylvania data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$126,339 / year median in Pennsylvania
Job Description
Rate Range:
$50/hour to $56/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. AL ML Engineer Job Responsibilities include: Design, develop, and deploy scalable AI/ML and Generative AI solutions using AWS services such as Amazon Bedrock, SageMaker, and Lambda. Build and optimize Agentic AI applications using LangChain and LangGraph, including multi-agent workflows and orchestration capabilities. Develop, evaluate, and enhance LLM-powered solutions through prompt engineering, model tuning, and performance optimization. Integrate AI solutions with enterprise systems while ensuring scalability, security, reliability, and performance. Collaborate with cross-functional teams to define AI strategies, technical requirements, and implementation best practices. Monitor, troubleshoot, and continuously improve AI/ML models and applications to drive innovation and business value.Required Qualifications:
Bachelor's degree in computer science, Information Technology, Engineering, or a related field. 2-4 years of experience in software development, backend engineering, or machine learning development. Strong hands-on experience with Python, FastAPI, Flask, RESTful APIs, and microservices architecture. Experience developing and deploying Machine Learning/Deep Learning models, along with knowledge of CI/CD, MLOps, and Playwright automation. If you are interested in this role, then please clickAPPLY NOW.
For other opportunities available at Akkodis, or any questions, feel free to contact me at Shashank.Tewari@ akkodisgroup.com.