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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 : Machine Learning (ML)
Good to have skills : Generative AI
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 designing and implementing production-ready pipelines, ensuring the quality and efficiency of AI solutions. You will also explore the integration of generative AI models into various applications, contributing to innovative projects that may include deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential as you work to deliver impactful AI-driven solutions.
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 : Generative AI
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 designing and implementing production-ready pipelines, ensuring the quality and efficiency of AI solutions. You will also explore the integration of generative AI models into various applications, contributing to innovative projects that may include deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential as you work to deliver impactful AI-driven solutions.
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.
- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.
- Continuously evaluate and improve existing AI models and systems to ensure optimal functionality.
- Must To Have Skills: Proficiency in Machine Learning.
- Good To Have Skills: Experience with Generative AI.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience in deploying machine learning models in cloud environments.
- Familiarity with data preprocessing techniques and feature engineering.
- Ability to work with large datasets and perform data analysis.
- The candidate should have minimum 5 years of experience in Machine Learning.
- This position is based at our Pune office.
- A 15 years full time education is required.
More Info
Key Skills
Generative AI
Deploying machine learning models in cloud environments
Data preprocessing techniques
Feature engineering
About Company
Skills:
Performance Monitoring, Logging, Python, Benchmarking, Hugging Face, vector databases, Pinecone, LLM APIs, model evaluation methodologies, RAG pipelines, fine-tuning techniques, observability, RLHF, SFT, hallucination detection, Anthropic, Monitoring, prompt engineering, Generative AI solutions, LLM fine-tuning, FAISS, LoRA, OpenAI, Weaviate, QLoRA
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Aws Lambda, Python Programming, Devops, MLops, Docker, Kubernetes, LangChain, LangGraph, Generative AI, AI model deployment and monitoring on AWS, Amazon Bedrock, Amazon SageMaker, Prompt Engineering, LLMOps, CI/CD Pipelines, Microservices architecture, Agentic AI, Multi-Agent Systems, API integrations, AI Orchestration
Skills:
Python, Model Lifecycle Management, Model Deployment, ML Pipeline Development, Machine Learning Operations, Cloud AI services, Monitoring Optimization, Machine learning frameworks, Multi Cloud skills
Skills:
vertex , bedrock , Tensorflow, Nlp, Pytorch, Gcp, Azure, Python, AWS, MLops, LangChain, CrewAI, LLMs, Generative AI frameworks, Hugging Face, Scikit-learn, MLflow, LangGraph, SageMaker, Vertex AI, Kubeflow, RAG, Polly, Sagemaker, Q Transcribe, Gemini, AutoML