AI/ML Python Engineer


Bridge Flair LLC
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Job Details
Skills
- Algorithms
- Cloud Computing
- Collaboration
- Continuous Delivery
- Continuous Integration
- Data Processing
- Data Structure
- Data Visualization
- Docker
- Amazon Web Services
- Analytics
- Apache Spark
- Artificial Intelligence
- Evaluation
- Generative Artificial Intelligence (AI)
- Good Clinical Practice
- Google Cloud Platform
- Knowledge Sharing
- Kubernetes
- Machine Learning (ML)
- Machine Learning Operations (ML Ops)
- Microservices
- Microsoft Azure
- Natural Language Processing
- NumPy
- Optimization
- Orchestration
- Pandas
- PyTorch
- Python
- Regulatory Compliance
- Scalability
- Software Design
- Software Development
- Software Documentation
- TensorFlow
- Training
- Vector Databases
- Version Control
- Workflow
- scikit-learn
Summary
Job Title: AI/ML Python Engineer
Client: TCS – Vanguard
Location: Malvern, PA or Charlotte, NC (Onsite/Hybrid)
Duration: Long Term Contract
Job Description
We are seeking an experienced AI/ML Python Engineer to design, develop, and deploy machine learning solutions that support business and technology initiatives. The ideal candidate will have strong experience in Python development, machine learning frameworks, and cloud-based data platforms, with the ability to build scalable AI/ML models and integrate them into enterprise applications.
Key Responsibilities
Design, develop, and deploy AI/ML models and data-driven solutions using Python.
Build and maintain machine learning pipelines, including data ingestion, preprocessing, training, and deployment.
Develop scalable APIs and microservices to integrate ML models into enterprise applications.
Work with large datasets and perform feature engineering, model training, evaluation, and optimization.
Collaborate with data engineers, architects, and business stakeholders to understand requirements and translate them into ML solutions.
Implement MLOps practices including model monitoring, retraining, and version control.
Optimize model performance and ensure scalability, reliability, and security of AI/ML applications.
Document models, processes, and technical solutions for knowledge sharing and compliance.
Required Skills
8+ years of experience in software development with strong Python programming skills.
Hands-on experience with Machine Learning and AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience building data pipelines and ML workflows.
Strong knowledge of data processing tools like Pandas, NumPy, and Spark.
Experience working with REST APIs and microservices architecture.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
Understanding of MLOps, CI/CD pipelines, and model deployment.
Strong knowledge of data structures, algorithms, and software design patterns.
Preferred Skills
Experience with Generative AI, LLMs, or NLP frameworks.
Familiarity with Docker, Kubernetes, and containerized deployments.
Experience with vector databases, RAG pipelines, or AI model orchestration frameworks.
Knowledge of data visualization and analytics tools.
- Dice Id: 91165402
- Position Id: 8905698
- Posted 13 hours ago
Company Info
About Bridge Flair LLC
Delivering Value and Innovation
Bridge flair is a world class technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We use our unique deployment model to build qualified, industry specialized fit-for-purpose teams combined with proven solutions and service models to achieve results. Our agility and obsession with providing value enables us to support an ever evolving digital world.
Diversity, Equity, and Inclusion
Our emergent Diversity, Equity, and Inclusion (DEI) goals are established for progression and empower the Values we bring as a world-class technology services firm.
Corporate Social Responsibility
We are invested in creating long-term partnerships that strengthen communities, help tackle social challenges, and solve complex problems. We encourage employees to explore their passions, business skills, and expertise to make meaningful contributions to the world around them. Click here to learn more about our corporate social responsibility.
Local Service
Our unique delivery model includes local quality engagement with over 70 offices and client delivery centers (CDC) across the United States and Canada, including a CDC in Mexico.

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