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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 : Python (Programming Language), Large Language Models (LLMs)
Minimum 3 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 designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that the applications meet high-quality standards and are optimized for performance and scalability.
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)
Minimum 3 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 designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that the applications meet high-quality standards and are optimized for performance and scalability.
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 cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Must To Have Skills: Proficiency in Generative AI.
- Secondary skill (mandatory input) Full Stack Developer - Python / LLM / Gen AI
- Good To Have Skills: Experience with Python (Programming Language), Large Language Models.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.
- Familiarity with data preprocessing techniques and data augmentation methods.
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
More Info
Key Skills
About Company
Skills:
Neural network design principles, Deep learning frameworks, Cloud platforms, Machine Learning Operations, AI model lifecycle management, Containerization and orchestration tools, Generative AI models
Skills:
Tensorflow, Automation Tools, Pytorch, Python, GenAI tools, data preprocessing, scikit-learn, LLM integration, API-based deployment, prompt engineering, GenAI integration, workflow automation, ML pipelines, ML model development, feature engineering, model experimentation
Skills:
Prometheus, Grafana, Tensorflow, Cloudwatch, Pytorch, Docker, AWS ECS, AWS CodePipeline, Rest Apis, Python, Scikit-learn, vector databases, Pinecone, GRPC, async job processing, GitHub Actions, OpenTelemetry, FAISS, CI CD pipelines
Skills:
Machine Learning, PostgreSQL, Deep Learning, Tensorflow, Pytorch, Gcp, Opencv, FastAPI, Rest Apis, Azure, Python, Computer Vision, AWS, embeddings, AWS Bedrock, LLMs, Hugging Face, Anthropic, prompt engineering, Vector Databases, RAG, OpenAI
Skills:
Keras, Pytorch, Java, Python, Tensorflow, Intel, Qualcomm, ONNX, Nvidia Jetson, Resnet, Yolo, Mobilenet