AI/ML Engineer
- Posted a month ago
- Over 100 applicants have applied
Job Description
AI Engineer (Mid-Level)
Responsibilities:
- Design, develop, and implement AI/ML models and algorithms.
- Build Proof of Concept (POC) applications to showcase feasibility and value of AI solutions.
- Write clean, efficient, and well-documented code.
- Collaborate with data engineers to ensure data quality for model training and evaluation.
- Work with senior team members to understand requirements and contribute to technical solutions.
- Troubleshoot and debug AI/ML models and applications.
- Stay current with AI/ML advancements.
- Use ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model development and deployment.
- Deploy AI solutions on Google Cloud Platform (GCP).
- Implement data preprocessing and feature engineering with Pandas and NumPy.
- Utilize Vertex AI for training, deployment, and management.
- Integrate Google Gemini for specific AI functionalities.
Qualifications:
- Bachelor's degree in Computer Science, AI, or related field.
- 3+ years of experience in AI/ML model development.
- Strong Python programming skills.
- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning concepts.
- Ability to work both independently and in teams.
- Strong problem-solving and communication skills.
- Experience with GCP preferred.
- Familiarity with Vertex AI is a plus.
More Info
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Key Skills
About Company
Skills:
Deep Learning, Neural Networks, Image Processing, Virtual Agents, Design and implement scalable and efficient AI solutions, Chatbots, Natural language processing techniques and tools, AI frameworks and libraries such as TensorFlow or PyTorch
Skills:
Azure Functions, Python, Azure DevOps, Node.js, C Sharp, Git, RAG systems, deployment automation, Azure Key Vault, App Insights, Azure OpenAI, IaC, Azure AI Foundry, LLM APIs, Azure App Service, cloud-native Azure environments, Azure Resource Groups, Logic Apps, Azure AI Document Intelligence, Azure API Management APIM, CI CD pipelines, Azure Cognitive Search, Azure AI services, Azure Storage Accounts, Responsible AI, Event Grid
Skills:
Aws Lambda, Apis, Microservices, Nlp, Data Quality, MLops, Docker, Kubernetes, AI ML solutions, AWS Bedrock, vector databases, CI CD, RAG pipelines, machine learning models
Skills:
object tracking , Tensorflow, Pytorch, Opencv, Python, Video Processing, object detection frameworks, model evaluation, YOLO, model training, model optimization
Skills:
object detection , Numpy, Image Processing, Computer Vision, Python, Pandas, Image Classification, Scikit-learn