AI/ML Engineer

Job Title: AI/ML Engineer
Location: Remote
Experience Level:10+ Years

About the Role
We are seeking a highly skilled AI/ML Engineer to design, build, and deploy machine learning models that solve real-world business problems. The ideal candidate will have strong experience in data science, machine learning algorithms, and production-grade ML systems.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models.

• Build end-to-end ML pipelines including data preprocessing, training, validation, and deployment.

• Work with large datasets to extract insights and improve model performance.

• Implement deep learning, NLP, or computer vision solutions as needed.

• Optimize models for performance, scalability, and accuracy.

• Collaborate with data engineers, product managers, and business stakeholders.

• Monitor models in production and retrain as needed.

• Maintain clear documentation and follow best practices for ML lifecycle management.

Required Skills & Qualifications

• 5–10+ years of experience in AI/ML engineering or data science.

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn).

• Hands-on experience with TensorFlow, PyTorch, or Keras.

• Solid understanding of machine learning algorithms, statistics, and data modeling.

• Experience with SQL and data processing frameworks.

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).

• Knowledge of MLOps, CI/CD pipelines, and model deployment.

• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with NLP, computer vision, or generative AI.

• Knowledge of LLMs, prompt engineering, or RAG architectures.

• Experience using Docker, Kubernetes, and ML orchestration tools.

• Familiarity with Spark, Databricks, or big data technologies.

• Experience working in Agile environments.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.