Machine Learning Engineer
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Machine Learning Engineer
This position is on site in Abu Dhabi, relocation is required.
In this position you will design and develop scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes.
Key Responsibilities
• Work with large and complex data sets to solve challenging business problems.
• Efficient training and deployment of standard ML, NN, and Agentic models.
• Develop, train, and optimize machine learning models using state-of-the-art algorithms and
frameworks.
• Build production grade end-to-end ML pipelines, including data ingestion, transformation,
model training, validation, and deployment.
• Automate workflows for model training, testing, and deployment using CI/CD pipelines and
MLOps tools.
• Collaborate with cross-functional teams to integrate models into applications and deliver
end-to-end solutions.
• Finetune SLMs/LLMs and build complex AI architectures.
Qualifications / Experience
• (3-7) years of experience in building production grade, scalable AI systems.
• Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or
generative AI (e.g., LLMs).
• Strong ML system architecture skills.
• Understanding of model serving, API development (FastAPI, Flask), and optimizing model
performance for real-time or batch inference.
• General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow
for model lifecycle management (MLOps).
• Comfortable with deploying models on AWS or Azure.
• Minimum Educational qualifications: Bachelor's degree in Computer Science, Engineering,
or related field required.
• Preferred Education qualifications: Master or PhD in Computer Science or a related field
Job ID: 152968823
Skills:
Machine Learning, Deep Learning, Nlp, MLops, Docker, Flask, FastAPI, Azure, Kubernetes, Computer Vision, AWS, Generative AI, Agentic AI architectures, LLMs, Model fine-tuning, MLflow, Kubeflow, CI/CD
Skills:
Sql, Tensorflow, Nosql, REST, Pytorch, Flask, FastAPI, Python, LangChain, LLMs, scikit-learn, pgvector, Pinecone, LangGraph, parameter-efficient fine-tuning, LoRA, RAG, Weaviate, QLoRA, LlamaIndex, websockets
Skills:
Machine Learning, PostgreSQL, Sql, Redis, Tensorflow, Nosql, Pytorch, MySQL, Flask, FastAPI, MongoDB, Python, Langchain, scikit-learn, pgvector, Pinecone, Langgraph, Streamlit, Weaviate, LlamaIndex
Skills:
triton , Tensorflow, Pytorch, Docker, Python, Kubernetes, DeepSpeed, Accelerate, Scikit-learn, Hugging Face, MLflow, vLLM, SageMaker, Llama-family models, TGI, Kubeflow, FSDP, GPT-style models
Skills:
Neural Networks, Deep Learning, Nlp, Docker, Flask, Python, AWS, FastAPI, Azure, Kubernetes, Computer Vision, GenAI LLMs, ML system architecture, MLflow, CI CD, complex AI architectures, Kubeflow, ML engineering, supervised ML, model performance optimisation, LLMs, end-to-end ML pipelines, Agentic AI models, traditional ML, unsupervised ML, batch inference, fine-tuning SLMs
