AI ML Engineer with Strong Python
AI ML Engineer with Strong Python
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Job Description
Client Name: Kforce
End Client Name: Financial Services Company
Job Title: AI/ML Engineer with Strong Python
Location: Jersey City NJ (Local only)
Work Type: Hybrid 3 days onsite
Job Type: Contract-to-Hire
Rate: $58/hr on W2
Notes:
- Must be able to convert without sponsorship.
- Goal is a 1-round interview (1 hour panel).
- Looking to interview early next week before the hiring manager leaves for travel. Drug & background check required.
Job Description:
Our client a leading financial services company providing clearing settlement custody and risk management services for securities transactions is seeking an AI/ML Engineer with strong Python skills. This role is hybrid (3 days onsite in Jersey City NJ) and offers the opportunity to convert full-time (no sponsorship available).
Job Description:
Summary:
Were seeking a passionate hands-on AI/ML Engineer to join our team where youll play a pivotal role in spearheading AI initiatives. As an AI/ML Engineer you will play a pivotal role in designing developing and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
Responsibilities:
Generative AI Application Development
- Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
- Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows enhancing overall efficiency and capabilities.
Model Development and Deployment
- Design and develop machine learning models and algorithms to address business challenges and improve product features.
- Deploy machine learning models in production environments to ensure scalability and efficiency.
- Optimize and refine models based on performance metrics and feedback.
Data Management
- Collect clean and preprocess data from various sources to create robust datasets for training and evaluation.
- Implement data augmentation and feature engineering techniques to enhance model performance.
- Maintain and manage data pipelines to ensure seamless data flow and integration.
Python API Development
- Develop scalable APIs in python (fastApi Apache Gunicorn) for model inferencing
Collaboration and Communication
- Work closely with software engineers data scientists and product managers to align AI/ML initiatives with business goals.
- Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
- Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.
Qualifications
- Bachelors or Masters degree in computer science Statistics Data Science or a related field.
- 6 years of experience in Machine Learning and Data Science.
- Strong understanding of Generative AI Retrieval Augmented Generation Agentic Workflow Statistical methods data structures and algorithms.
- Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g. Pandas NumPy Matplotlib Seaborn TensorFlow PyTorch scikit-learn LangChain) and LLMs.
- Experience developing and deploying AI solutions on cloud platforms (e.g. AWS Azure or GCP).
- Experience in building Asynchronous Python APIs.
- Experience with data visualization tools such as Matplotlib Seaborn or Tableau.
- Familiarity with cloud platforms such as AWS Azure or Google Cloud for deploying AI solutions.
- Proven experience in developing and deploying machine learning models in a production environment.
- Experience working with large datasets and performing data analysis.
- Previous experience in a similar role or industry is preferred.
- Excellent communication and collaboration skills.
- Strong problem-solving skills and analytical thinking
- Passion for learning and staying up-to-date with the latest advancements in AI field
Employment Type
Full-time
