Role : Full stack AI Engineer
Exp :
4-12 years.
Job Overview
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 algorithms, proficient in frameworks like TensorFlow and PyTorch.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.
Key Responsibilities
- 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.
Qualifications
- 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, Databricks, and Azure Machine Learning.
- 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.
Required Skills
Job Overview : 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 algorithms, proficient in frameworks like TensorFlow and PyTorch.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 platformsincluding 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.Key Responsibilities : 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.Qualifications : 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, Databricks, and Azure Machine Learning.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.(ref:hirist.tech)
