Machine Learning Engineer

Fully Remote

Salary: $20,000-$30,000 Annually (₹17,74,950 – ₹26,62,425 INR)

Key Responsibilities

Design, develop, and deploy machine learning models and pipelines.

Work with large, complex datasets to extract actionable insights.

Collaborate with data scientists to transition research models into production-ready systems.

Implement feature engineering, model training, testing, and performance optimization.

Develop and maintain APIs or services to integrate ML models into applications.

Evaluate model performance and conduct A/B testing or model retraining.

Utilize cloud services (AWS, GCP, Azure) for scalable ML deployment.

Stay current with advancements in ML frameworks and techniques.

Required Qualifications

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

2+ years of experience as a Machine Learning Engineer or Data Scientist.

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

Experience with ML frameworks such as TensorFlow, PyTorch, or Keras.

Solid understanding of data preprocessing, feature engineering, and model evaluation.

Familiarity with APIs, RESTful services, and data storage systems.

Experience deploying models using Docker, Flask, or FastAPI.

Preferred Qualifications

Experience with deep learning, natural language processing (NLP), or computer vision.

Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).

Proficiency in cloud-based ML services (AWS SageMaker, Vertex AI, Azure ML).

Familiarity with big data tools (Spark, Hadoop, Kafka).

Advanced degree (M.S. or Ph.D.) preferred but not required.