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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 : Prompt Engineering
Good to have skills : NA
Minimum 3 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 and cloud-based services. The role requires managing end-to-end development pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various applications, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical solutions with project goals is also a key part of the role, fostering innovation and continuous improvement in AI-driven products.
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 : Prompt Engineering
Good to have skills : NA
Minimum 3 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 and cloud-based services. The role requires managing end-to-end development pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into various applications, working with deep learning frameworks, and developing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align technical solutions with project goals is also a key part of the role, fostering innovation and continuous improvement in AI-driven products.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to enhance AI application performance and reliability.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
- Continuously explore emerging AI technologies to recommend improvements and innovations.
- Must To Have Skills: Proficiency in Prompt Engineering.
- Experience in designing and implementing AI-driven solutions using cloud and on-premise infrastructures.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning techniques, neural networks, and AI-based image processing.
- Ability to develop and maintain production-quality AI pipelines and systems.
- Skilled in integrating AI services with existing software architectures.
- The candidate should have minimum 3 years of experience in Prompt Engineering.
- This position is based at our DDC2A - SEZ location.
- A 15 years full time education is required.
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Production-quality AI pipelines
AI-based image processing
Cloud AI services
Generative AI models
Prompt Engineering
About Company
Skills:
data engineering , Neural Networks, large-scale data processing frameworks and tools, data pipeline development and management in cloud and on-premise environments, AI-driven image processing, generative AI models, deep learning architectures, AI model integration and deployment techniques
Skills:
Ml, Linux, Python, Cuda, Deep Learning, Computer Vision, Multi-Object Tracking, Multi-Sensor Fusion, Ai, Sensor Calibration
Skills:
Machine Learning, Deep Learning, Pytorch, Docker, FastAPI, Python, AWS, LangChain, Generative AI, LLMs, AI Agents, Hugging Face, LangGraph, Vector Databases, Embeddings, RAG, LlamaIndex, Prompt Engineering
Skills:
business workflows , Containers, Nlp, Databases, Testing, Python, Ml, Applications, Apis, Version Control, Git, Computer Vision, Retrieval, Prompt engineering, Deployment, Security, Privacy, Vector Databases, Embeddings, ML lifecycle, Human-in-the-loop processes, Data pipelines, RAG pipelines, Grounded responses, Monitoring, Generative AI, LLMs, Data ingestion, AI agents, Responsible AI, Model evaluation
Skills:
Python Programming, Generative AI, RAG and embeddings, Prompt Engineering