Bangalore, Karnataka, India
Information Technology
Full-Time
QAAgility Technologies
Overview
Role : Machine Learning and AI Engineer
Exp : 4+ Years
Type : Hybrid
Location : Bangalore
Exp : 4+ Years
Type : Hybrid
Location : Bangalore
- We are looking for a skilled Mid-Level AI Engineer with extensive experience in building full-stack AI solutions.
- The ideal candidate will have a strong foundation in Machine Learning and Deep Learning
- Expertise in Large Language Models (LLMs) such as OpenAI, Gemini, DeepSeek and other reasoning models.
- Familiarity with Knowledge Graphs is a plus.
- Additional qualifications include proficiency in Python frameworks like FastAPI and Django, along with extensive experience on Azure platforms - including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning.
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is highly desirable.
- Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms.
- Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch.
- Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications.
- Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability.
- Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models.
- Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions.
- Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications.
- Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency.
- Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning.
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms.
- Strong expertise in frameworks such as TensorFlow and PyTorch for model development.
- Demonstrated experience with NLP and Computer Vision applications.
- Proficient in working with Large Language Models (OpenAI, Gemini, LLama).
- Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB,
- Strong knowledge of Python frameworks such as FastAPI and Django.
- Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable.
- Excellent problem-solving abilities and capacity to work in a dynamic environment.
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