Machine Learning Engineer

2 days ago

Indore, Madhya Pradesh, India Vitric Business Solutions Pvt. Ltd. Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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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