Aegistech ยท 6 days ago
Lead Generative AI Machine Learning Engineer
NYC Metro Area
Full-time
Hybrid
Lead/Staff
$170K/yr - $210K/yr
8+ years expAegistech is seeking a Lead Generative AI Machine Learning Engineer to join their ML team within the Data Science group. In this role, you will be responsible for deploying, monitoring, and managing machine learning models and data pipelines, while collaborating with various teams to integrate these models into production systems.
ConsultingRecruitingStaffing Agency
Hiring Manager
Jyoti Pandya
Responsibilities
Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end
Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more
Collaborate with cross-functional teams to integrate machine learning models into production systems
Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures
Work closely with members of technology teams in the development and implementation of Enterprise AI platform
Fine Tune and Optimize Models: Adjust and refine generative AI models to enhance performance, adapt to new data, or meet specific use case requirements
Qualification
Required
Bachelor's degree in computer science, Engineering, or a related field
8+ years of progressive experience as a data analytics, machine learning engineer or similar roles
A minimum of 5 years of experience in data science, data analytics, or related field
5 years of relevant experience with writing production level, scalable code with Python (or scala)
MLOps/LLMOps, machine learning engineering, Big Data, or a related role
Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow
Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools
Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience
Preferred
2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions
Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions
6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases
Company
Aegistech
Aegistech is an IT staffing, recruiting and consulting firm.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Melanie Coriaty
Talent Acquisition Partner
Company data provided by crunchbase