Senior Staff AI Data Engineer
The Hartford
ApacheAssemblyAWSAzureCloudDockerDynamoDBEC2ETLGoogle Cloud PlatformKafkaKubernetes+7 more
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCassandraCloudDockerDynamoDBEC2FlaskGoogle Cloud PlatformHadoopJavaJavaScriptKafkaKerasKubernetesMongoDBMySQLNode.jsNoSQLPostgresPythonPyTorchReactScalaScikit-LearnSparkSQLTensorflowTypeScriptVue.js
About the role
- Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
- Implement and optimize Large Language Models (LLMs) and Generative AI solutions
- Build agentic AI systems with autonomous decision-making capabilities
- Conduct research on emerging AI technologies and their practical applications
- Perform model evaluation, validation, and continuous improvement
- Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
- Develop full-stack applications integrating AI models with modern web technologies
- Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
- Implement CI/CD pipelines for ML model deployment and monitoring
- Design and optimize cloud infrastructure for high-performance computing workloads
- Design and implement data pipelines for large-scale data processing
- Work with both SQL and NoSQL databases and optimize database performance for ML workloads
- Implement data governance and quality assurance frameworks
- Handle streaming data processing and real-time analytics
- Mentor junior data scientists and guide technical decision-making
- Collaborate with cross-functional teams including product, engineering, and business stakeholders
- Present findings and recommendations to technical and non-technical audiences
- Lead proof-of-concept projects and innovation initiatives
Requirements
- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
- 5+ years of hands-on experience in data science and machine learning
- 3+ years of experience with deep learning frameworks and neural networks
- 2+ years of experience with cloud platforms and full-stack development
- Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
- Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
- Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
- Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
- Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
- Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
- Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
- Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
- Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
- MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
- Big Data: Spark, Hadoop, Kafka, streaming data processing
- Preferred: experience with vector databases (Pinecone, Weaviate, Chroma), LangChain/LlamaIndex, model compression, distributed computing, computer vision and NLP, federated learning, quantum ML
- Strong mathematical foundation in statistics, linear algebra, and optimization
- Excellent written and verbal communication skills and mentoring experience
Similar jobs on JobTailor
Senior Software Engineer – Applied GenAI, DevX
Autodesk
AWSAzureJavaJavaScriptPythonPyTorchReactTypeScript
Domain Architect – AI/ML
Nokia
AirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKafkaKubernetesMicroservicesOpenShiftPythonPyTorch+4 more
Senior Machine Learning Engineer
PayPal
AWSAzureCloudGoogle Cloud PlatformHadoopJavaPythonPyTorchScikit-LearnSparkSQLTensorflow
Staff Software Engineer - Applied AI
Ironclad
AWSAzureCloudDockerGoogle Cloud PlatformNumpyPandasPySparkPythonPyTorchSQLTensorflow