drjobs Principal ML Engineer

Principal ML Engineer

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1 Vacancy
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Job Location drjobs

India

Monthly Salary drjobs

INR INR 5000000 - 7000000

Vacancy

1 Vacancy

Job Description

This role is for one of the Weekdays clients

We are seeking a highly skilled and innovative Principal Machine Learning Engineer to join our dynamic team. You will be responsible for leading and developing cuttingedge machine learning solutions that directly impact the success of our products and services. This role requires strong technical expertise in ML models and the ability to solve complex problems in various domains including predictive modeling natural language processing (NLP) and computer vision.
You will collaborate closely with data scientists software engineers and product managers to design and implement machine learning algorithms that scale efficiently and integrate seamlessly into our systems.

Key Responsibilities:

  • Lead the design development and deployment of scalable machine learning models to address business challenges.
  • Apply advanced techniques such as supervised and unsupervised learning reinforcement learning and deep learning to build predictive models.
  • Collaborate with crossfunctional teams to define technical requirements and project timelines.
  • Design and maintain data pipelines for preprocessing training and validation of ML models.
  • Conduct model performance evaluation optimization and tuning for accuracy and efficiency.
  • Develop APIs and services to deploy machine learning models in production environments.
  • Stay up to date with the latest industry trends and advancements in machine learning technologies.
  • Mentor and guide junior engineers and contribute to the development of best practices within the ML team.

Key Requirements:

  • 312 years of experience in machine learning or a related field.
  • Strong knowledge of machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikitlearn).
  • Proficiency in programming languages like Python R or Scala with a focus on implementing ML algorithms.
  • Experience with data processing frameworks like Hadoop Spark or similar technologies.
  • Expertise in building and deploying ML models for production use cases.
  • Strong understanding of data structures algorithms and complexity analysis.
  • Handson experience with cloud platforms (AWS GCP Azure) and ML services.
  • Experience in handling large datasets and distributed computing systems.
  • Excellent problemsolving skills and a passion for innovation.
  • Strong communication and leadership skills.

machine learning,ml,cloud platforms,reinforcement learning,data preprocessing,communication,unsupervised learning,deep learning,leadership,supervised learning,model deployment,api development,code,mentoring

Employment Type

Full Time

Company Industry

Key Skills

  • Design
  • Academics
  • AutoCAD 3D
  • Cafe
  • Fabrication
  • Java

About Company

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