AI/ML Engineer
AI/ML Engineer
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Job Description
We are hiring an AI/ML Engineer with 5+ years of experience in developing and deploying scalable machine learning solutions. The ideal candidate should possess strong expertise in Python, machine learning algorithms, data preprocessing, feature engineering, and model optimization. You will be responsible for designing, training, validating, and deploying predictive models for real-world business use cases while ensuring high performance and reliability. Hands-on experience with supervised, unsupervised, and deep learning techniques, along with model evaluation, hyperparameter tuning, and performance monitoring, is essential. Candidates should have experience building production-ready ML pipelines, deploying models through APIs or cloud platforms such as AWS, Azure, or GCP, and collaborating with Data Engineering teams. Strong knowledge of MLOps, model lifecycle management, statistical analysis, version control, and excellent analytical, communication, and problem-solving skills is highly preferred.
Skills: ml,python,cloud
Skills: ml,python,cloud
More Info
Key Skills
data preprocessing
cloud platforms
production-ready ML pipelines
model evaluation
deep learning techniques
feature engineering
model lifecycle management
model optimization
hyperparameter tuning
About Company
Skills:
Deep Learning, Machine Learning, Neural Networks, Python Frameworks, Cloud AI Platforms, ML Azure Stack, Generative AI, Azure AI, Retrieval-Augmented Generation, Microsoft Azure AI foundry
Skills:
Large Language Models (LLMs), Pytorch, Docker, Python, Kubernetes, Generative AI, Prompt engineering, Distributed high throughput and low latency architectures, Azure CPU GPU environments, TRL, Transformers, Deepspeed
Skills:
Python, Deep Learning, Microservices, Machine Learning, LLMs, Agentic AI frameworks, Vector Databases, Model evaluation techniques, AutoGen, CrewAI, RAG architectures, Generative AI, LangGraph, Prompt engineering
Skills:
Sql, Python, time-series forecasting, Generative AI tooling, R, tree-based models, classical ML modeling, observability monitoring tools
Skills:
Python, Tensorflow, Pandas, Code, Numpy, Pytorch, Cursor, Kubernetes, Azure, Terraform, Docker, Git, Azure DevOps, GitHub Actions, Claude, AKS, Bicep, scikit-learn, CI CD, RAG