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AIML Engineer
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AIML Engineer

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1 Vacancy
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Job Location

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Chandigarh - India

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2771602
Chordify
We help startups grow. Through offshore development services design solutions talent acquisition and investor readiness services.
About the role
We are seeking a talented Machine Learning Engineer with specialized expertise in NLP Computer Vision Large Language Models (LLM) General AI Deep Learning and
Neural Networks who is passionate about pushing the boundaries of whats possible in machine learning and artificial intelligence. This role is pivotal in driving our ML
initiatives forward leveraging stateoftheart techniques to develop innovative solutions.
Role Title: AI/ML Engineer
Location: Trivandrum/ Chandigarh
Experience:47 Years
Educational Qualification: Bachelor / Masters degree in CS/ME/IT
Role & Responsibilities:
  • Develop and implement machine learning models and algorithms for NLP CV LLMGen AI Deep Learning and Neural Networks applications.
  • Collaborate with crossfunctional teams to understand requirements and translate them into scalable ML solutions.
  • Design and optimize models for performance scalability and efficiency.
  • Deploy ML models into production environments ensuring robustness and reliability.
  • Utilize Docker for containerization and MLOPS for managing ML workflows.
  • Work with both CPU and GPU architectures for efficient computation.
  • Employ optimization techniques to enhance model performance and speed.
  • Demonstrate expertise in Large Language Models (LLM) and proficiently handle databases.
  • Develop RESTful APIs using FASTAPI for model deployment and integration.
  • Stay abreast of the latest advancements in machine learning and AI and contribute to the continuous improvement of our technology stack.

Requirements:
  • Solid proficiency in Python programming language.
  • Extensive experience with Docker and MLOPS practices.
  • Handson experience with cloud platforms such as AWS Azure and GCP as well as onpremises environments.
  • Strong understanding of CPU and GPU architectures.
  • Previous experience deploying ML models into production environments.
  • Familiarity with optimization techniques for ML models.
  • Expertise in Large Language Models (LLM) and proficient database management skills.
  • Experience developing RESTful APIs with FASTAPI.
  • Knowledge of Generative Adversarial Networks (GANs) Convolutional Neural Networks (CNN) and Neural Networks (NN) for deep learning applications.
Bonus points for:
  • Experience working with big data platforms (Spark Hadoop etc.)
  • Experience with cloud platforms (AWS GCP Azure etc.)
  • Experience with A/B testing and experimentation methodologies.

Employment Type

Full Time

Company Industry

About Company

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