Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role
Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role
Posted on :
22-08-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-08-2025
Job Description
Role: Lead / Senior Machine Learning Enginee
Location: Weehawken NJ (Day 1 Onsite) - Locals preferred
Job Type: W2 Contract
Position Overview:
- We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs).
- The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azures AI services and data engineering tools.
Key Responsibilities:
AI and Agentic Solutions Development:
- Design develop and implement agentic systems for real-time decision-making processes.
- Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
- Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
- Build customize and fine-tune large language models (LLMs) for diverse business applications.
- Research and experiment with LLM architectures to optimize performance for specific use cases like NLP conversational AI and summarization.
- Deploy LLMs efficiently on Azure services such as Azure Machine Learning OpenAI Service and Cognitive Services.
Data Engineering Expertise:
- Architect and maintain complex data pipelines and frameworks on Azure.
- Work with relational and non-relational databases to preprocess and manage datasets for AI models.
- Leverage Azure tools like Data Factory Synapse Analytics and Databricks for ETL processes and advanced analytics workflows.
Python Development and Software Engineering:
- Write high-quality scalable Python code for machine learning and data engineering applications.
- Develop reusable libraries for AI models and data processing workflows.
- Collaborate with DevOps teams to ensure robust CI/CD pipelines and deploy production-ready solutions in cloud environments.
Collaboration and Leadership:
- Mentor and guide junior engineers on best practices in data engineering and machine learning.
- Collaborate with cross-functional teams including data scientists product managers and business analysts.
- Proactively contribute to strategic roadmaps for AI-powered business solutions.
Required Qualifications:
- Azure Certified AI Practitioner (or equivalent Azure certification in AI and data engineering).
- Demonstrable expertise in Python with advanced knowledge of libraries such as Pandas NumPy PyTorch TensorFlow and LangChain.
- Extensive experience designing and building Agentic solutions (e.g. autonomous agents capable of advanced decision-making and orchestration).
- Hands-on experience with modeling and deploying LLMs (fine-tuning prompt engineering optimization).
- Proficiency with Microsoft Azure ecosystem including services like Azure Machine Learning OpenAI Service Cognitive Services and Databricks.
- Strong understanding of machine learning natural language processing (NLP) and generative AI concepts.
- Familiarity with best practices in data engineering such as data modeling schema design ETL processes and pipeline optimization.
Preferred Qualifications:
- Advanced degree (Masters or PhD) in Computer Science Data Engineering AI/ML or a related field.
- Experience with integrating LLMs into production environments for real-world applications (e.g. chatbots document summarization generative design).
- Knowledge of distributed computing frameworks (e.g. Spark Hadoop).
- Familiarity with versioning tools (e.g. Git) containerization (e.g. Docker) and orchestration (e.g. Kubernetes).
Employment Type
Full-time
Key Skills
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