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AI / ML Engineer
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 : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The work often includes applying generative artificial intelligence models to enhance system capabilities. The engineer may also engage in developing components related to deep learning, neural networks, conversational agents, and image analysis, ensuring seamless functionality and performance within complex environments. Collaboration and innovation are key aspects throughout the daily workflow.
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 : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The work often includes applying generative artificial intelligence models to enhance system capabilities. The engineer may also engage in developing components related to deep learning, neural networks, conversational agents, and image analysis, ensuring seamless functionality and performance within complex environments. Collaboration and innovation are key aspects throughout the daily workflow.
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.
- Lead efforts to identify and implement best practices in AI application development.
- Mentor junior team members to support their professional growth and technical skill enhancement.
- Must To Have Skills: Proficiency in Generative AI.
- Experience with designing and deploying AI models in cloud and on-premises environments.
- Strong knowledge of deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and conversational AI systems.
- Familiarity with image processing techniques and their application in AI solutions.
- The candidate should have minimum 7.5 years of experience in Generative AI.
- This position is based at our Mumbai office.
- A 15 years full time education is required.
More Info
Key Skills
Neural network architectures
Generative AI
Deep learning frameworks
Conversational AI systems
Image processing techniques
About Company
Skills:
Large Language Models (LLMs), deep learning frameworks, AI applications using cloud AI services, data processing and software development tools, generative AI models, neural network architectures, AI pipelines for production environments, on-premises infrastructure
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Containers, Sql, Tensorflow, Git, Pytorch, Machine Learning Algorithms, Rest Apis, Python, Generative AI, Cloud-based Environments, Feature Engineering, Data Preprocessing, Model Evaluation Techniques, Scikit-learn, Model Training