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AI / ML Engineer
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Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to foster their professional growth.
- Continuously evaluate and improve existing AI models and systems.
- Must To Have Skills: Proficiency in Large Language Models.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Familiarity with natural language processing techniques and tools.
- Ability to design and implement scalable AI applications.
- The candidate should have minimum 7.5 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Job Type:
Industry:
Employment Type:
Key Skills
natural language processing techniques and tools
deep learning frameworks such as TensorFlow or PyTorch
design and implement scalable AI applications
Large Language Models
About Company
Skills:
Amazon Web Services (AWS), Large Language Models (LLMs), Image Processing, Machine learning frameworks and libraries, Deep learning neural networks, Chatbots, Python Programming Language, Cloud computing concepts and services, Generative AI models
Skills:
Machine Learning, Apis, Natural Language Processing, Microservices, Devops, Data Privacy, Python, CI CD, cloud environments, responsible AI, AI services, Security, model-serving pipelines, large language models, data ingestion
Skills:
Artificial Intelligence, Machine Learning, Core Python, Python, Generative AI, Large Language Models, Llm, Generative AI Applications, RAG, Retrieval-Augmented Generation
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models