Ztek Consulting
Global Executive Search Consultant at ZTek Consulting Inc
Role:
Machine Learning Engineer, onsite in Bloomfield, CT / Morris Plains, NJ - Full-time
Experience Required:
8 - 18+ years
Base pay range:
$110,000.00/yr - $130,000.00/yr
Must Have Technical/Functional Skills:
Design and implement ML models for forecasting, classification, and regression tasks (e.g., ARIMA, XGBoost, etc.).
Develop and deploy scalable AI solutions using AWS services (SageMaker, Lambda, EC2, S3, etc.).
Build and optimize GenAI applications using frameworks like LangChain, LlamaIndex, or similar.
Implement RAG pipelines and agent-based systems for intelligent task automation and knowledge retrieval.
Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products.
Monitor and maintain AI models in production, ensuring performance and reliability.
Stay up-to-date with the latest advancements in AI/ML and GenAI technologies.
Generic Managerial Skills, If any
Proficiency in Python and experience with AWS cloud services.
Strong understanding of ML algorithms and statistical models (e.g., ARIMA, Random Forest, Neural Networks).
Experience with GenAI tools and frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs).
Familiarity with RAG architectures and agent-based systems.
Experience with data preprocessing, feature engineering, and model evaluation.
Knowledge of MLOps practices and tools is a plus.
Excellent problem-solving and communication skills.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Manufacturing, Pharmaceutical Manufacturing, and Medical Equipment Manufacturing
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Machine Learning Engineer, onsite in Bloomfield, CT / Morris Plains, NJ - Full-time
Experience Required:
8 - 18+ years
Base pay range:
$110,000.00/yr - $130,000.00/yr
Must Have Technical/Functional Skills:
Design and implement ML models for forecasting, classification, and regression tasks (e.g., ARIMA, XGBoost, etc.).
Develop and deploy scalable AI solutions using AWS services (SageMaker, Lambda, EC2, S3, etc.).
Build and optimize GenAI applications using frameworks like LangChain, LlamaIndex, or similar.
Implement RAG pipelines and agent-based systems for intelligent task automation and knowledge retrieval.
Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products.
Monitor and maintain AI models in production, ensuring performance and reliability.
Stay up-to-date with the latest advancements in AI/ML and GenAI technologies.
Generic Managerial Skills, If any
Proficiency in Python and experience with AWS cloud services.
Strong understanding of ML algorithms and statistical models (e.g., ARIMA, Random Forest, Neural Networks).
Experience with GenAI tools and frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs).
Familiarity with RAG architectures and agent-based systems.
Experience with data preprocessing, feature engineering, and model evaluation.
Knowledge of MLOps practices and tools is a plus.
Excellent problem-solving and communication skills.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Manufacturing, Pharmaceutical Manufacturing, and Medical Equipment Manufacturing
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