drjobs Automation Developer

Automation Developer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Chennai - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles coupled with a proven track record of developing and deploying a minimum of 20 models in these domains.

Responsibilities:

  • Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct thorough data analysis pre-processing and feature engineering to extract meaningful insights from structured and unstructured data.
  • Design and implement scalable and efficient machine learning pipelines for training evaluation and inference.
  • Experiment with various deep learning architectures hyperparameters and optimization techniques to improve model performance.
  • Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain.
  • Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability.
  • Perform rigorous testing and validation of models to ensure their accuracy reliability and generalization capability.
  • Continuously monitor and maintain deployed models and implement necessary updates and enhancements as required.
  • Document code methodologies and findings effectively and contribute to internal knowledge sharing initiatives.

Qualifications :

  • Bachelors/Masters/Ph.D. degree in Computer Science Engineering Mathematics or a related field.
  • Strong theoretical understanding of machine learning algorithms deep learning frameworks and statistical modeling techniques.
  • Proficiency in programming languages such as Python along with experience in popular ML libraries such as TensorFlow PyTorch or scikit-learn.
  • Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks with a demonstrable portfolio of projects.
  • Solid understanding of natural language processing techniques including text classification sentiment analysis named entity recognition etc.
  • Familiarity with computer vision concepts such as image classification object detection image segmentation etc. and experience with frameworks like OpenCV or TensorFlow.
  • Experience with cloud platforms (e.g. AWS Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes) is a plus.
  • Excellent problem-solving skills attention to detail and ability to work independently as well as part of a team.
  • Strong communication and interpersonal skills with the ability to effectively collaborate with stakeholders across different functional areas.
  • Join us in revolutionizing the way Sutherland harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.
  • If you are passionate about pushing the boundaries of whats possible with AI and want to make a meaningful contribution wed love to hear from you!


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.