What are the responsibilities and job description for the Sr. AI/ML Data Engineer - 10+ Exp only position at SSTech LLC?
Job Details
Role: Sr. AI/ML Data Engineer Location: Washington, DC Duration: Long Term Hybrid Onsite: 4 days onsite per week from Day 1
Minimum Years of Experience: 10 Years
Overview:
A professional in data modeling, AI/ML, and data synthesis is responsible for designing, implementing, and maintaining data structures that support organizational data needs. This role includes integrating multiple data sources, creating data synthesis flows, and leveraging AI/ML, Azure AI, and Gen AI technologies to drive data-driven insights and automation.
Key Responsibilities:
AI & ML Exposure:
- Implement AI/ML models to enhance data processing, transformation, and analysis.
- Work with AI/ML frameworks to optimize data pipelines, data quality, enrichment, and predictive analytics.
- Develop scalable machine learning solutions for data engineering workflows.
Gen AI Integration:
- Work with Gen AI frameworks (e.g., OpenAI, Hugging Face, LangChain) for data-driven automation and insights generation.
- Develop AI-powered data pipelines for advanced analytics and intelligent data processing.
API Development:
- Design and develop APIs to facilitate seamless data exchange between various systems and applications.
- Ensure API scalability, security, and efficiency in handling large-scale data operations.
Collaboration: Work closely with data architects, analysts, and IT teams to align data strategies with business objectives.
- Design and implement conceptual, logical, and physical data models to support business requirements.
- Develop processes to synthesize data from various sources, ensuring that it is clean, accurate, and ready for analysis.
- Integrate multiple data sources into a unified system, facilitating seamless data flow and accessibility.
- Utilize big data technologies (like Databricks and PySpark) to handle large volumes of structured and unstructured data.
Required Skills:
- Strong knowledge of SQL, Databricks, PySpark, and data modeling.
- Hands-on experience in AI/ML, model training, and deployment with Gen AI technologies.
- Experience in designing and implementing scalable APIs for data applications.
- Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders.
