Current Opening

Machine Learning Intern 

We at CyArt LLP, provides technical solutions to our clients, The company provides the expertise and experience necessary for developing and integrating future-ready, omnichannel technologies, and connecting them with the enterprise system that makes them work. We are looking for passionate engineers who are looking for technical experience and expertise in the field of Machine Learning.

Internship Info:

Are you passionate about the field of Machine Learning and Data Science, and eager to test your skills with live projects? We are seeking amazing young talents to join our Machine Learning Team as interns. This internship is an ideal opportunity for students pursuing a degree in a Computer Science-related field to gain hands-on experience in developing machine learning models and conducting research.  

Responsibilities:

• Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
• Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
• Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes.
• Stay up to date with the latest advancements and trends in machine learning, deep learning, and related fields.

Requirements:

• Currently pursuing a bachelor's in computer science, or related fields.
• Strong programming background, and knowledge of software engineering concepts (OOP, design patterns).
• Knowledge of machine learning libraries TensorFlow, Keras, Scikit-learn, PyTorch.
• Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra.
• Ability to perform both independent and collaborative research.
• Excellent written and spoken communication skills.

A​​pply Now

Deep Learning Intern 

We at CyArt LLP, provides technical solutions to our clients, The company provides the expertise and experience necessary for developing and integrating future-ready, omnichannel technologies, and connecting them with the enterprise system that makes them work. We are looking for passionate engineer who is looking for technical experience and expertise in field of Deep Learning.

Internship Info:

Are you passionate about the field of Machine Learning and Deep Learning, and eager to test your skills with live projects? We are seeking amazing young talents to join our Machine Learning/Deep Learning Team as interns. This internship is an ideal opportunity for students pursuing a degree in a Computer Science-related field to gain hands-on experience in developing models for deep learning models and conducting research.  

Responsibilities:

• Designing and programming Deep learning methods and integrating them into our DL framework/pipeline.
• Formation, evaluating and validating the analysis with new testing methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
• Conduct research and explore new technologies, frameworks, and tools to improve our deep-learning models and processes.
• Stay up to date with the latest advancements and trends in machine learning, deep learning, and related fields.
• Prepare reports for given research work and updates regarding it (LSTM, RLWH, etc)

Requirements:

• Currently pursuing a bachelor's in computer science, or related fields.
• Strong programming background, and knowledge of software engineering concepts (OOP, design patterns).
• Knowledge of Deep learning concepts like advance neural network systems, LSTM, Seq2seq models, etc.
• Knowledge of deep learning libraries TensorFlow (Mesh), Keras, PyTorch, Hugging face transformer.
• Excellent mathematical skills and background, e.g. advance linear algebra and calculus for optimizations. (Preferred)
• Ability to perform both independent and collaborative research.
• Excellent written and spoken communication skills.

Apply No​​w

Image Processing / Computer Vision Intern 

We at CyArt LLP, provides technical solutions to our clients, The company provides the expertise and experience necessary for developing and integrating future-ready, omnichannel technologies, and connecting them with the enterprise system that makes them work. We are looking for a passionate newcomers who is looking for technical experience and expertise in the field of Deep Learning and computer vision.

Internship Info:

Are you passionate about the field of Deep Learning and Computer Vision, and eager to test your skills with live projects? We are seeking amazing young talents to join our Deep Learning/computer vision Team as interns. This internship is an ideal opportunity for students pursuing a degree in a Computer Science-related field to gain hands-on experience in developing models for computer vision and conducting research.

Responsibilities:

• Designing and programming Deep learning (computer vision) methods and integrating them into our product's framework/pipeline.
• Formation, evaluating and validating the analysis with new testing methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
• Form test cases for manual testing and automation testing system/cases for CV models
• Conduct research and explore new technologies, frameworks, and tools to improve our deep-learning models like YOLO, U2-NET and many other.
• Stay up to date with the latest advancements and trends in deep learning, and CV related models.
• Ideation and implementation of ideas in live cases.

Requirements:

• Currently pursuing a bachelor's in computer science, or related fields.
• Strong programming background (Python and C++).
• Knowledge of Deep learning models like YOLO, U2-net, etc. are plus
• Knowledge of deep learning libraries TensorFlow, Keras, PyTorch, OpenCV, etc.
• Excellent skills and background in Image processing (Preferred).
• Ability to perform both independent and collaborative research.
• Excellent written and spoken communication skills.
• Availability to commit to a full-time internship for a duration of 6 months.

Apply Now​​

Natural Language Processing Intern 

At CyArt LLP, we specialize in providing innovative technical solutions to our clients, empowering them with cutting-edge natural language processing (NLP) technologies. Our company is committed to developing and integrating future-ready, omnichannel NLP solutions and seamlessly connecting them with enterprise systems to enhance operational efficiency and drive business growth.

Internship Info:

Are you passionate about the field of Natural Language Processing (NLP) and eager to test your skills with live projects? CyArt LLP is seeking talented individuals to join our NLP Team as interns. This internship offers an exciting opportunity for students pursuing a degree in a Computer Science-related field to gain hands-on experience in developing NLP models and conducting research in the fascinating field of language understanding.

Responsibilities:

• Designing and implementing NLP algorithms and models, and integrating them into our NLP framework/pipeline.
• Evaluating and validating NLP models using new testing methodologies and presenting findings in a clear and understandable manner to stakeholders.
• Conducting research to explore new technologies, frameworks, and tools to enhance our NLP models and processes.
• Keeping abreast of the latest advancements and trends in NLP, machine learning, and related fields.
• Preparing reports and updates on research work, including topics such as LSTM, attention mechanisms, and transformer architectures.
• Assisting in the testing, validation, and deployment of NLP models in production environments, ensuring scalability, reliability, and performance.
• Contributing to documentation, knowledge sharing, and best practices development to support ongoing learning and team collaboration.

Requirements:

• Currently pursuing a bachelor's degree in computer science, or a related field.
• Strong programming skills and familiarity with software engineering concepts (e.g., OOP, design patterns).
• Knowledge of NLP concepts such as word embeddings, syntactic parsing, and semantic analysis.
• Proficiency in NLP libraries such as NLTK, spaCy, or Hugging Face Transformers.
• Excellent mathematical skills, including a solid foundation in linear algebra and calculus for model optimizations (preferred).
• Ability to work independently as well as collaboratively in a team environment.
  
• Availability to commit to a full-time internship for a duration of 6 months.

Apply Now​​

Machine Leaning Operations Intern 

At CyArt LLP, we are dedicated to providing cutting-edge technical solutions to our clients. As part of our mission, we are seeking dynamic and talented individuals to join our team as Machine Learning Operations (MLOps) Interns. This internship offers an exceptional opportunity for students pursuing degrees in Computer Science, Artificial Intelligence, or a related field to gain hands-on experience in the rapidly evolving field of MLOps.

Internship Info:

The Machine Learning Operations Intern role is designed for a technically proficient individual with a strong interest in the intersection of machine learning and software engineering. The ideal candidate should have a solid foundation in Python programming, cloud-based infrastructure, and a keen understanding of the deployment and monitoring of machine learning models.

Responsibilities:

• Collaborate with the AI and data science teams to understand business requirements and develop efficient MLOps pipelines.
• Design and implement reproducible and scalable machine learning workflows, including data preprocessing, model training, and model deployment.
• Leverage cloud-based platforms and tools (e.g., AWS, Azure, GCP) to manage the end-to-end lifecycle of machine learning models.
• Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines for seamless model updates and deployments.
• Implement monitoring and logging solutions to track model performance, detect anomalies, and ensure the reliability of machine learning systems.
• Participate in the development of MLOps best practices and documentation to support the organization's machine learning initiatives.

• Contribute to the research and evaluation of emerging MLOps tools and frameworks to enhance the team's capabilities.

Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Proficient in Python programming and familiarity with popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud-based infrastructure and platforms (e.g., AWS, Azure, GCP) is preferred.
• Strong understanding of software engineering principles, including version control, continuous integration, and deployment.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and infrastructure as code (IaC) tools.
• Excellent problem-solving and critical thinking skills, with a keen interest in staying up-to-date with the latest advancements in the field of MLOps.
• Effective communication and collaboration skills to work in a team-oriented environment.
• Availability to commit to a full-time internship for a duration of 6 months.

Apply N​​ow