Senior AI Engineer
Senior AI Engineer
ValueMomentum3-7 Years
This job is no longer accepting applications
Job Description
Focus: Building and Deploying Scalable AI Systems
Goal: Create Robust, Scalable, and Efficient AI-Powered Solutions
Core Responsibilities:
- Develop and implement machine learning and deep learning algorithms using Python, TensorFlow, PyTorch, and Scikit-learn
- Design scalable model training and inference pipelines leveraging Docker, Kubernetes, MLflow, and Airflow
- Deploy models to cloud platforms such as AWS SageMaker, GCP Vertex AI, and Azure ML
- Integrate CI/CD workflows using GitHub Actions and infrastructure as code via Terraform
- Optimize models using ONNX, TensorRT, and techniques like pruning and quantization
- Manage large-scale data processing with Spark, Kafka, and Hadoop
- Work with structured and unstructured data stored in SQL, NoSQL, and GraphDBs
Tech Stack:
- Programming: Python
- ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn
- MLOps Tools: MLflow, Airflow, Docker, Kubernetes
- Cloud Platforms: AWS (SageMaker), GCP (Vertex AI), Azure ML
- Big Data: Spark, Kafka, Hadoop
- Databases: SQL, NoSQL, GraphDBs
- DevOps: CI/CD, GitHub Actions, Terraform
- Model Optimization: ONNX, TensorRT, Pruning, Quantization
More Info
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About Company
ValueMomentum, headquartered in New Jersey, USA, is the largest standalone provider of IT services and solutions to insurers and financial services firms. Our industry focus, technological expertise backed by R&D, and customer-first approach uniquely position us to deliver the value we promise and drive momentum for our customers' initiatives. As one of North America's top 10 insurance-focused IT services firms, leading insurance and financial services companies trust ValueMomentum with their digital, data, core, and IT transformation initiatives.
Skills:
containerization , API design, Python, Version Control, MLops, Testing, AWS Bedrock, Strands SDK, LangGraph, Anthropic Claude, AgentCore, Infrastructure-as-code
Skills:
Python
Skills:
Tensorflow, Gcp, Pytorch, Azure, Python, AWS, LangChain, data pipelines, parameter tuning, model optimization, AI ML frameworks
Skills:
AWS, Pytorch, Tensorflow, Python, Azure, Gcp, LangChain, data pipelines, AI ML frameworks, model optimization, parameter tuning
Skills:
API development and integration, Python, Agentic frameworks or orchestration patterns, Common LLM failure modes and mitigation techniques, Tool calling and action execution, Generative AI and LLMs, CI CD and modern DevOps practices