Senior Engineer - AI/ML

3 Months ago • 5 Years +

Job Summary

Job Description

As a Senior Engineer in AI/ML, you will design cloud-native AI architectures for personalized recommendations and real-time analytics. You will leverage generative AI technologies to build advanced solutions. You will train, fine-tune, and deploy ML models using various platforms. You will implement CI/CD pipelines, build and optimize ETL workflows, and integrate data pipelines with AI/ML models. You will also deploy MLOps practices, enhance AI model security, collaborate with stakeholders, and document AI workflows. This role requires expertise in designing and implementing AI solutions.

Must have:

5+ years of experience in code development with Java, Python, Vscode
Proficiency in PyTorch, TensorFlow, and deep learning frameworks
Experience with Azure Cognitive Services, AWS AI/ML tools
Strong understanding of containerization, orchestration, and serverless computing
Hands-on experience with cloud automation tools like Terraform and Kubernetes

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

java

tensorflow

ci-cd

kubernetes

reinforcement-learning

computer-vision

deep-learning

azure

aws

python

pytorch

terraform

forecasting-budgeting

reproducibility

team-management

Job Details

Key Responsibilities:

• Design cloud-native AI architectures for personalized recommendations, conversational systems, and real-time analytics.
• Leverage generative AI technologies like LangChain and RAG to build advanced AI solutions.
• Train, fine-tune, and deploy ML models using Microsoft Copilot Studio, Power platform, Azure ML, AWS SageMaker, AWS bedrock
• Implement CI/CD pipelines for seamless model updates and scaling.
• Build and optimize ETL workflows for large-scale data processing using Azure Data Factory and AWS Glue.
• Integrate data pipelines with AI/ML models to enable real-time decision-making.
• Deploy robust MLOps practices, including automated monitoring and model retraining.
• Enhance AI model security through advanced techniques like LLM Guard and PromptInject.
• Collaborate with stakeholders to define AI use cases and ensure alignment with business objectives.
• Document AI workflows, data pipelines, and deployment processes for reproducibility.

Requirements:

• 5+ Years of experience in code development wih Java, Python, Vscode
• Proficiency in PyTorch, TensorFlow, and deep learning frameworks.
• Experience with Azure Cognitive Services, AWS AI/ML tools, and cloud-native architectures.
• Strong understanding of containerization, orchestration, and serverless computing.
• Hands-on experience with cloud automation tools like Terraform and Kubernetes.
• Proven ability to troubleshoot complex AI/ML workflows and deliver scalable solutions.
• Strong leadership and project management skills to handle multi-disciplinary projects.
• Solid understanding of NLP, computer vision, reinforcement learning, and time series forecasting.