Machine Learning Engineer
1 day ago
About the Role
Job Title: Machine Learning Engineer
Experience: 8+ Years
Location: Indore
Employment Type: Full-Time
Mandatory Tech Stack
Programming: Python
Machine Learning: ML Models, Scikit-learn, MLflow
Big Data Processing: PySpark
Libraries: Pandas, NumPy
LLMs: OpenAI, Hugging Face Transformers
Key Responsibilities
Design, build, and deploy scalable Machine Learning models for real-world applications.
Develop and optimize end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment.
Use PySpark to process and analyze large datasets.
Apply MLflow for experiment tracking, model versioning, and lifecycle management.
Collaborate with Data Engineers, Product Managers, and Business teams to integrate ML solutions into production.
Research, fine-tune, and implement Large Language Models (LLMs) such as OpenAI and Hugging Face Transformers.
Ensure high performance, scalability, and accuracy of deployed models.
Stay updated with the latest advancements in AI/ML and propose innovative solutions.
Required Skills & Experience
Minimum 8+ years of experience in Machine Learning or related fields.
Strong proficiency in Python and ML libraries (Scikit-learn, Pandas, NumPy).
Experience in building and deploying ML models at scale.
Hands-on expertise with PySpark for distributed data processing.
Proficiency in using MLflow for model management.
Working knowledge of LLMs and experience with frameworks like OpenAI API and Hugging Face Transformers.
Solid understanding of data structures, algorithms, and statistical methods.
Strong problem-solving and analytical skills.
Excellent communication skills and ability to work in cross-functional teams.
Soft Skills
- Excellent written and verbal communication skills.
- Strong problem-solving and analytical mindset.
- Ability to work independently and collaborate with cross-functional teams.
- Customer-centric and proactive attitude.
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