Job Summary:
RIT Solutions, Inc. is seeking an experienced Data Engineer to join their AI/ML Engineering team. The role involves developing and optimizing complex data pipelines and building scalable AI/ML solutions, with a focus on integrating model pipelines and collaborating with data science teams.
Responsibilities:
• We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
Qualifications:
Required:
• Around 5-8 years of relevant work experience (Machine Learning Engineering).
• At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
• Robust understanding of cloud technologies, including AWS and Azure.
• Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
Preferred:
• Experience with API design and development is a plus.
• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in , the company is headquartered in Arlington, Virginia, US, , with a team of 201-500 employees. The company is currently Growth Stage.