Urgent! Machine Learning/Artificial Intelligence Engineer Job Opening In Bengaluru – Now Hiring QAAgility Technologies
<p><p><b>Job Title :</b> Machine Learning and AI Engineer<br/><br/><b>Work Experience :</b> 4+ Years<br/><br/><b>Work Type :</b> Hybrid<br/><br/><b>Location :</b> Bangalore<br/><br/><b>Job Overview :</b></p><p><br/>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.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms.<br/></p><p><br/></p><p>- Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch.<br/></p><p><br/></p><p>- Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications.<br/></p><p><br/></p><p>- Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability.<br/></p><p><br/></p><p>- Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models.<br/></p><p><br/></p><p>- Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions.<br/></p><p><br/></p><p>- Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications.<br/></p><p><br/></p><p>- Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency.<br/></p><p><br/></p><p>- Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning.<br/><br/><b>Qualifications :</b></p><p><br/>- Bachelors or Masters degree in Computer Science, Engineering, or a related field.<br/></p><p><br/></p><p>- Proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms.<br/></p><p><br/></p><p>- Strong expertise in frameworks such as TensorFlow and PyTorch for model development.<br/></p><p><br/></p><p>- Demonstrated experience with NLP and Computer Vision applications.<br/></p><p><br/></p><p>- Proficient in working with Large Language Models (OpenAI, Gemini, LLama).<br/></p><p><br/></p><p>- Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning.<br/></p><p><br/></p><p>- Strong knowledge of Python frameworks such as FastAPI and Django.<br/></p><p><br/></p><p>- Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable.<br/></p><p><br/></p><p>- Excellent problem-solving abilities and capacity to work in a dynamic environment.</p><br/></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19853 jobs in India and 1612 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! QAAgility Technologies is currently hiring and seeking a Machine Learning/Artificial Intelligence Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning/Artificial Intelligence Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at QAAgility Technologies adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning/Artificial Intelligence Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning/Artificial Intelligence Engineer typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning/Artificial Intelligence Engineer interview at QAAgility Technologies, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the QAAgility Technologies's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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