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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 : Machine Learning (ML)
Good to have skills : NA
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 creating production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on various projects that may include chatbots and image processing, ensuring that all systems are optimized for performance and reliability. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that meet the needs of the organization and its clients.
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 : Machine Learning (ML)
Good to have skills : NA
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 creating production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on various projects that may include chatbots and image processing, ensuring that all systems are optimized for performance and reliability. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that meet the needs of the organization and its clients.
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 enhance their skills and knowledge.
- Continuously evaluate and improve existing systems and processes to ensure efficiency.
- Must To Have Skills: Proficiency in Machine Learning (ML).
- 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 data preprocessing and feature engineering techniques.
- Ability to implement and optimize algorithms for various AI applications.
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
Data preprocessing and feature engineering techniques
Machine Learning (ML)
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:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, vector databases, embedding models, MLflow, Monitoring, MLOps practices, Statistical Modeling, semantic search architectures, drift detection, CI CD for ML, automated retraining
Skills:
Machine Learning, NLP Model Development, multi-agent orchestration frameworks, best practices for AI applications, AI ML GenAI solutions, reference architectures