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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 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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer actively works on implementing generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of daily activities.
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 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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer actively works on implementing generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align AI capabilities with project goals and continuous refinement of AI-driven solutions are key aspects of daily activities.
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 stakeholders to understand requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance project outcomes.
- Document development processes and maintain clear communication within the team.
- Support junior team members by sharing knowledge and assisting in problem-solving.
- Must To Have Skills: Proficiency in Generative AI.
- Experience with designing and deploying AI models in cloud or on-premises environments.
- Strong understanding of deep learning architectures and neural network frameworks.
- Ability to develop and optimize AI pipelines for production-level applications.
- Familiarity with chatbot development and image processing techniques.
- Skilled in troubleshooting and improving AI system performance.
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our DDC2A - SEZ location.
- A 15 years full time education is required.
More Info
Job Type:
Industry:
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Key Skills
Neural network frameworks
Generative AI
Deep learning architectures
Chatbot development
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:
Google Cloud Platform (GCP), Large Language Models (LLMs), BigQuery, Sql, MLops, Python, Generative AI, BigQuery ML, Vertex AI, LangChain, Data governance and security, ETL/ELT processes
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Nlp, LangChain framework, Generative AI, Fine-tuning methodologies
Skills:
Machine Learning, Cloud Azure, Deep Learning, Tensorflow, Numpy, Pandas, Software Engineering, Pytorch, MLops, Keras, Python, Generative AI, scikit-learn, Data SQL
Skills:
Python, Deep Learning, Machine Learning, AWS, Pytorch, FastAPI, Docker, LLMs, LlamaIndex, Prompt Engineering, Hugging Face, Vector Databases, RAG, LangChain, AI Agents, Embeddings, Generative AI, LangGraph