Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Machine Learning (ML)
Data Science
Data Wrangling
PyTorch
Python
React.js
Data Flow
Machine Learning Operations (ML Ops)
TensorFlow
Job Details
Greeting from ABAL Technologies Inc
Role: Data Scientist Python, Agentic AI, AI & AWS
Location: New Jersey, NJ - Onsite
Job Summary:
We are seeking a skilled Data Scientist with strong experience in Python programming, Artificial Intelligence, Agentic AI systems, and cloud services (AWS). The ideal candidate will play a key role in designing, developing, and deploying intelligent, autonomous data-driven systems that can act proactively and adaptively to meet evolving business needs.
Key Responsibilities:
- Design and develop predictive and prescriptive models using Python and modern AI frameworks.
- Build and implement agentic AI systems capable of autonomous decision-making and task execution.
- Analyze large datasets to extract meaningful insights that support business strategy and automation.
- Collaborate with cross-functional teams to integrate AI models and data pipelines into cloud-based production environments (AWS).
- Develop and maintain data pipelines, ensuring scalable and reliable data flow across platforms.
- Monitor and improve model performance, retraining as needed to ensure accuracy and relevance.
- Stay up-to-date with the latest developments in AI, machine learning, and agent-based systems.
Required Skills & Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field.
- Strong proficiency in Python for data science, ML, and automation tasks.
- Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with agentic AI systems or autonomous agents (e.g., AutoGPT, LangChain Agents, ReAct frameworks).
- Solid knowledge of AWS cloud services, including S3, SageMaker, Lambda, EC2, and Glue.
- Strong data wrangling and visualization skills (e.g., Pandas, Matplotlib, Seaborn).
- Familiarity with MLOps tools and CI/CD practices is a plus.
Preferred Qualifications:
- Experience with LLMs and prompt engineering.
- Exposure to event-driven or real-time data systems.
- Knowledge of Reinforcement Learning or decision systems.
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