Mlops Data Architect
2 weeks ago
Description
Key Responsibilities:
- Develop and optimize data pipelines for small language models and AI agents.
- Ensure data governance and compliance with industry standards.
- Evaluate AI models and implement best practices for model monitoring and maintenance.
- Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
- Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
- Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
- Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.
- Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
- Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.
- Participate in special projects and additional duties as assigned.
Qualifications:
- Undergraduate degree or equivalent experience; a graduate degree is preferred.
- Minimum of 5 years of relevant work experience.
- 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.
- Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
- Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
- Experience with API design and development is a plus.
- Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
- Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
- Understanding of solution architecture for building end-to-end machine learning data pipelines.
**Working at ICF**
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
Bangalore, India (II78)
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