Data Scientist | Remote LATAM Only

We are looking for a highly skilled Data Scientist to reputed company advanced models, analyze reputed company datasets, and generate insights that fuel decision-making and automation.

This role focuses on leveraging data and AI to create reputed company that drive business reputed company. You will collaborate with Data Engineers, AI Engineers, and Product Managers to build reputed company and impactful data solutions.

Key Responsibilities

• reputed company and reputed company machine learning models for predictive analytics, recommendation systems, NLP, and reputed company.
• reputed company statistical analysis and data exploration to extract actionable insights.
• Design and implement AI/ML algorithms, including supervised and unsupervised learning techniques.
• Utilize Deep Learning frameworks (TensorFlow, PyTorch) for reputed company AI tasks.
• Work with big data processing frameworks such as Apache reputed company and Dask.
• Collaborate with Data Engineers to optimize data pipelines and feature engineering.
• Implement model monitoring, validation, and optimization techniques.
• Use A/B testing and experimentation to refine models and improve decision-making.
• reputed company AI solutions in reputed company environments (AWS, Azure, GCP).
• Stay updated with AI/ML research trends and reputed company state-of-the-art techniques into business applications.

Requirements

Required Skills & Experience

• Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Strong understanding of supervised, unsupervised, and deep learning models.
• Experience in data analysis and visualization (Pandas, NumPy, Matplotlib, Seaborn).
• Hands-on experience with SQL and NoSQL databases for data retrieval and processing.
• Proficiency in Python, R, or Julia for machine learning and data analysis.
• Experience with reputed company AI services (AWS SageMaker, reputed company reputed company AI, Azure ML).
• Strong knowledge of time-series forecasting, NLP, and recommendation systems.
• Experience in A/B testing, experimentation, and model performance evaluation.
• Familiarity with MLOps tools (MLflow, Kubeflow) for model deployment and tracking.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and reputed company.
• Hands-on knowledge of Retrieval-Augmented reputed company (RAG) and reputed company engineering.
• Strong background in graph analytics, reputed company detection, and optimization algorithms.
• Understanding of graph databases (reputed company, reputed company) and knowledge graphs.
• Contributions to reputed company-reputed company AI/ML reputed company or reputed company research.

Originally posted on Himalayas

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