AI/ML Engineer (Remote)
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Role Overview:
We are hiring for one of our clients, seeking a Member of Technical Staff, AI/ML Engineering to work on a full-time basis. The role involves designing, developing, and deploying machine learning models that drive business outcomes. You will collaborate with cross-functional teams to integrate AI solutions into production systems.
Key Responsibilities:
• Design, build, and optimize scalable AI/ML models for real-world applications.
• Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, and model training.
• Collaborate with software engineers to deploy models into production systems with scalability and reliability.
• Conduct rigorous testing and validation to ensure model performance and accuracy.
• Stay current with advancements in AI/ML research and apply them to improve existing solutions.
Required Skills & Qualifications:
• Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow or PyTorch.
• Strong background in machine learning algorithms, including supervised and unsupervised learning techniques.
• Experience with data processing and analysis tools, such as SQL, Pandas, or NumPy.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML models.
• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position provides exposure to high-impact projects with opportunities for professional growth.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
Job ID: 151610927
Skills:
Tensorflow, Numpy, Pandas, Pytorch, Keras, Python, Sql, Scikit-learn
Skills:
Tensorflow, Git, Pytorch, Gcp, Docker, Python, AWS, LangChain, LLMs, LangGraph, vector DBs, RAG, CI-CD
Skills:
Kubernetes, python, Natural Language Processing, Docker, Deep Learning, Cloud Infrastructure, Tensorflow, Pytorch, langgraph, ml evaluation, generative ai, Llm, langchain, embedding, rag, Statistics, ai multimodal, vector database, ai agent system
Skills:
RAG Retrieval-Augmented Generation, Claude LLM Integration, AWS SageMaker, AI ML Workload Optimization, Agent Core, Amazon Bedrock, Data Architecture for AI ML
Skills:
text classification , Data Cleaning, Svm, XGBoost, Python, GenAI, embeddings, fine-tuning, LLM usage, cross-validation, Training, prompt engineering, Agentic AI, NLP techniques, feature engineering
