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AI / ML Engineer
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- Posted 14 hours ago
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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 : Generative AI
Good to have skills : Python (Programming Language), Large Language Models (LLMs), AWS AI Services
Minimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that generative AI models are effectively integrated into various applications. You will also focus on optimizing application pipelines, whether in cloud environments or on-premises, while maintaining high standards of quality and performance. Your role will require you to stay updated with the latest advancements in AI technologies and apply them to enhance system capabilities.
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 : Generative AI
Good to have skills : Python (Programming Language), Large Language Models (LLMs), AWS AI Services
Minimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that generative AI models are effectively integrated into various applications. You will also focus on optimizing application pipelines, whether in cloud environments or on-premises, while maintaining high standards of quality and performance. Your role will require you to stay updated with the latest advancements in AI technologies and apply them to enhance system capabilities.
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 Generative AI.
- Good To Have Skills: Experience with Python (Programming Language), Large Language Models, AWS AI Services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience in developing and deploying chatbots and image processing applications.
- Familiarity with cloud computing platforms and services.
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
AWS AI Services
Generative AI
Chatbots
Python Programming Language
Large Language Models (LLMs)
About Company
Skills:
Machine Learning (ML), Neural Networks, Image Processing, Natural Language Processing, Production-quality AI pipelines, Deep learning techniques, Chatbot development frameworks, Generative AI models
Skills:
Pytorch, MLops, Python, Kubernetes, Hugging Face, vLLM Triton, Vector Databases, LLM Gateway, Agentic AI, Self-hosted Models, RAG, LLM Generative AI, LLM Orchestration
Skills:
Large Language Models (LLMs), Pytorch, Docker, Python, Kubernetes, Generative AI, Prompt engineering, Distributed high throughput and low latency architectures, Azure CPU GPU environments, TRL, Transformers, Deepspeed