Machine Learning (Data Science)

Required Skills

• At least 2 years of professional experience in machine learning or data science.
• Hands-on experience working on live, production-level machine learning projects.
• Strong programming skills in Python, with proficiency in libraries such as PyTorch, Scikit-learn, Keras, Pandas, and NumPy.
• Solid understanding of data preprocessing, feature engineering, and model evaluation.
• Ability to process, clean, and analyze large-scale datasets (structured and unstructured) efficiently in a production environment.
• Knowledge of cloud platforms (AWS, Google Cloud, Azure) and using cloud-native services for scalable ML model deployment.
• Familiarity with version control (Git), and containerization technologies such as Docker and Kubernetes.
• Strong problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.
• Excellent collaboration and teamwork skills in a cross-functional environment.

Preferred Skills

• Familiarity with model deployment tools such as Docker, Kubernetes, and CI/CD pipelines.
• Experience with big data technologies like Spark, Hadoop, or Dask.
• Knowledge of containerization and cloud-native ML solutions.
• Experience with tools and frameworks for processing large data, such as Kafka, Apache Flink, Spark, or Hadoop.

Job Type: Full-time

Pay: ₹800,000.00 - ₹1,300,000.00 per year

Experience:

• total: 3 years (Required)
• python: 1 year (Required)
• Machine learning: 3 years (Required)
• Docker,Kubernetes: 1 year (Required)
• Spark, hadoop: 1 year (Required)
• Cloud (AWS/Azure/GCP): 2 years (Required)

Work Location: In person