Remote ML/AI Engineer

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About the Role

• We are seeking a talented and motivated

  Machine Learning / AI Engineer

  to join our remote team. You will work on cutting-edge AI/ML projects, building scalable models, and deploying intelligent systems that drive real-world impact. The ideal candidate has experience designing, training, and deploying machine learning models and a strong software engineering background.

Key Responsibilities

• Design, develop, and implement ML/AI models and algorithms for real-world applications
• Build, train, evaluate, and optimize machine learning models (supervised, unsupervised, deep learning)
• Collaborate with data scientists, software engineers, and product teams to define ML use cases
• Develop pipelines for data preprocessing, model training, evaluation, and deployment
• Monitor and maintain deployed models in production environments
• Translate business needs into technical solutions using AI/ML technologies
• Stay up-to-date with the latest ML research and technologies

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 3+ years of experience in machine learning, data science, or applied AI roles
• Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost)
• Experience with deep learning architectures (CNNs, RNNs, Transformers)
• Familiarity with cloud platforms (AWS, GCP, or Azure) and ML deployment tools (Docker, Kubernetes, MLflow, etc.)
• Strong understanding of statistics, data analysis, and model evaluation techniques
• Experience with data pipelines, APIs, and MLOps practices

Preferred Skills (Nice to Have)

• Experience with NLP, computer vision, or time series forecasting
• Experience with real-time inference and model serving
• Familiarity with large-scale data processing tools (Spark, Dask)
• Contributions to open-source ML projects or research papers
• Experience with LLMs and fine-tuning (e.g., OpenAI, HuggingFace, LangChain)

What We Offer

• 100% remote work environment
• Competitive compensation and equity (if applicable)
• Flexible working hours
• Learning & development budget
• Opportunities to work on innovative and high-impact projects