Cutting-Edge Machine Learning Professional

5 days ago


Vadodara, Gujarat, India beBeeMachineLearningEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title:

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Sophisticated Machine Learning Engineer Position

About Our Organization:

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We are a trusted technology partner delivering cutting-edge AI solutions.

Role Overview:

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We seek an experienced machine learning engineer to join our advanced analytics and AI team. The ideal candidate will design, develop, and deploy scalable ML models at scale, working with large datasets and leveraging modern ML frameworks.

Main Responsibilities:

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  • Design: Design sophisticated ML models for real-world applications.">
  • Build: Develop and optimize end-to-end ML pipelines using PySpark and MLflow.">
  • Deploy: Process structured and unstructured data with Pandas, NumPy, and other libraries.">
  • Evaluate: Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.">
  • Experiment: Integrate and experiment with LLMs (e.g., OpenAI GPT, Hugging Face Transformers).">
  • Collaborate: Collaborate with data engineers, product managers, and software developers.">
  • Monitor: Monitor and improve model performance for accuracy, scalability, and reliability.">
  • Ensure Reproducibility: Ensure reproducibility and version control of ML experiments using MLflow.">
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Required Expertise:

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  • Programming Proficiency: Strong programming expertise in Python.">
  • Mastery of Machine Learning Algorithms: Solid understanding of machine learning algorithms and model evaluation techniques.">
  • Experience with Big Data Processing: Experience with PySpark for big data processing.">
  • Proficiency with MLOps Tools: Proficiency with MLflow for model lifecycle management.">
  • Familiarity with Data Science Libraries: Strong hands-on with Pandas, NumPy, Scikit-learn.">
  • Knowledge of Large Language Models: Familiarity with LLMs (OpenAI, Hugging Face Transformers).">
  • MLOps Principles: Knowledge of MLOps principles and deployment best practices.">
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Desirable Qualifications:

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  • Awarded Academic Degree: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.">
  • Cloud Platforms: Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI).">
  • Strong Analytical Skills: Strong analytical, problem-solving, and communication skills.">
  • Cross-Functional Teamwork: Collaborative mindset with ability to work in cross-functional teams.">


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