Posted:20 hours ago|
Platform:
On-site
Full Time
ML Engineer
Experience: 6-8 years
Location: Pune/Indore
Work Mode: Onsite
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:
* Bachelor’s 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.
Job Types: Full-time, Permanent
Pay: ₹2,200,000.00 per year
Experience:
Work Location: In person
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