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MLOps Engineer

3 months ago

PuneMumbai, India Techno Wise Full time

Job Description :
We are seeking anexperienced ML Engineer (MLOps) with a strong background in machine learning, deep learning, and artificial intelligence.

The ideal candidate will have a proven track record of developing and deploying machine learning models in real-world applications and will be responsible for leading and mentoring a team of machine learning engineers.

This role offers an exciting opportunity to work on cutting-edge projects and contribute to the company's growth in the field of AI and ML.


Responsibilities :

Lead Machine Learning Projects:
Take ownership of end-to-end machine learning projects, from problem definition and data collection to model development and deployment.

Team Leadership:
Mentor and guide a team of machine learning engineers, providing technical expertise and leadership to ensure project success.

Algorithm Development:

Develop and optimize machine learning algorithms and models, leveraging techniques such as deep learning, natural language processing, computer vision, and reinforcement learning.


Data Preparation:
Clean, pre-process, and transform large datasets to create high-quality training data for machine learning models.

Model Evaluation:
Implement rigorous testing and validation procedures to ensure the performance, accuracy, and scalability of machine learning models.

Deployment and Integration:
Collaborate with cross-functional teams to deploy machine learning models into production environments and integrate them with existing systems.

Research and Innovation:

Stay up-to-date with the latest advancements in machine learning and AI research, and apply innovative solutions to business problems.


Documentation:
Maintain detailed documentation of models, algorithms, and processes to facilitate knowledge sharing within the team and organization.

Collaboration:

Collaborate with data scientists, data engineers, and other stakeholders to drive the adoption of machine learning across the organization.


Qualifications :

  • Minimum of 4 years of hands-on experience in machine learning, deep learning, and artificial intelligence.
  • Strong programming skills in languages such as Advanced Python
  • Proficiency in data pre-processing, feature engineering, and model evaluation.
  • Proven experience ML Flow, CICD, Docker, Kubernetes, Continuous Integration, Deployment, Git actions, ML Studio, Pipeline Azure Databricks, Azure ML Studio, DevOps, Terraform
  • Statistics and machine learning knowledge
  • Azure ML is must and good to go
  • Standardize and streamline prototype machine learning code
  • Building MLOps pipelines. Building to serve data and models


If you are a seasoned machine learning engineer with a passion dashboard for solving complex problems using cutting-edge technologies, we encourage you to apply.

Join our dynamic team and play a pivotal role in advancing our AI and ML initiatives.
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