Machine Learning Engineer - Python

Description :

Job Details :

- Position : ML Engineer

- Experience : 6-8 years

- Work Mode : Remote

- Notice Period : Immediate Joiner 15 days

- Must Have : DevOps tools, Python and Excellent Communication

Key Responsibilities :

- Design, develop, and deploy machine learning models for real-world applications.

- Implement and optimize end-to-end ML pipelines using PySpark and MLflow.

- Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries.

- Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch.

- Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc.

- Collaborate with cross-functional teams including data engineers, product managers, and software developers.

- Monitor model performance and continuously improve model accuracy and reliability.

- Maintain proper versioning and reproducibility of ML experiments using MLflow.

Required Skills :

- Strong programming experience in Python.

- Solid understanding of machine learning algorithms, model development, and evaluation techniques.

- Experience with PySpark for large-scale data processing.

- Proficient with MLflow for tracking experiments and model lifecycle management.

- Hands-on experience with Pandas, NumPy, and Scikit-learn.

- Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).

- Understanding of MLOps principles and deployment best practices.

Preferred Qualifications :

- Bachelors or master's degree in computer science, AI/ML, Data Science, or a related field.

- Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus.

- Strong analytical and problem-solving abilities.

- Excellent communication and teamwork skills.