Machine Learning Intern Resume
Objective : As a Machine Learning Intern, works closely with business partners to find opportunities for leveraging data to drive business solutions, understand the business problem, and extract relevant trends and patterns from data.
Skills : Proficiency in programming languages, Machine learning algorithms and techniques.
Description :
- Performed groundbreaking research in the development, training, and evaluation of multi-modal large language models.
- Innovated and designed new machine learning structures.
- Developed and refined machine learning prototypes, and demonstrated their performance.
- Engaged with foundational open-source models and adapted them for domain-specific applications.
- Developed scalable, custom signal processing, machine learning, and deep learning algorithms to decode complex raw signals.
- Assisted experimental groups with signal analysis and provided requested features as and when needed
- Contributed to maintaining and enhancing the existing code repository.
Experience
0-2 Years
Level
Entry Level
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Summary : As a Machine Learning Intern, worked on high-impact real-world problems and datasets, including image and video analysis, biomedical imaging, multimodal data processing, data mining, structure prediction, foundation models, supervised, self-supervised, and unsupervised learning, active learning, and model uncertainty.
Skills : TensorFlow, Keras, PyTorch.
Description :
- Performed deep analyses of experimental data using a variety of internal pipelines.
- Collaborated with bioinformatics, statistical modeling, deep learning, and software engineering teams.
- Responsible for planning and timely delivery of assigned projects.
- Researched and developed state-of-the-art computer vision, LLM, and deep learning technologies.
- Contributed to end-to-end ML software development from problem formulation and data curation to model design, optimization, evaluation, and deployment.
- Provided feedback on Aspect’s products and contributed to technical product development discussions.
- Maintained rigorous documentation records following standards.
Experience
10+ Years
Level
Senior
Education
Bachelor's Degree in Computer Science
Machine Learning Intern Resume
Summary : As a Machine Learning Intern, responsible for developing and implementing machine learning models, algorithms, and data processing pipelines. Working closely with the data engineering team to ensure that our data pipelines are optimized for machine learning applications.
Skills : Scikit-learn, Spark MLlib, Data Preprocessing Techniques.
Description :
- Developed, tested, and implemented machine learning models using Python and other relevant tools and technologies.
- Analyzed and interpret data to identify trends, patterns, and insights that can inform our business decisions.
- Participated in code reviews and contributed to the development of best practices and standards for machine learning development.
- Stayed up-to-date with the latest advancements in machine learning and related fields, and identified opportunities for applying these advancements to business.
- Designed, trained, and improved upon cutting-edge models.
- Developed new techniques to train and serve models safer, better, and faster.
- Trained extremely large-scale models on massive datasets.
Experience
7-10 Years
Level
Management
Education
Bachelor's Degree in Computer Science
Machine Learning Intern Resume
Objective : As a Machine Learning Intern, exploring and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation, and edition processes. Reviewing state-of-the-art computer vision research papers and developing prototype solutions.
Skills : Feature Engineering, Data Visualization.
Description :
- Explored continual and active learning strategies for streaming data.
- Learned from experienced senior machine learning technical staff.
- Worked closely with product teams to develop solutions.
- Developed cutting-edge software and algorithms for computer vision, image processing, and deep learning models.
- Had technical responsibility for one or more significant sections of the assigned project.
- Translated complex functional and technical requirements into detailed design.
- Conducted innovative research alongside a team of experts in machine learning, software development, user research, and clinical practice.
Experience
2-5 Years
Level
Executive
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Objective : As a Machine Learning Intern, responsible for exploring and visualizing data to gain an understanding of it, and then identifying differences in data distribution that could affect performance when deploying the model in the real world.
Skills : Analytical, Problem-solving, Data Analysis.
Description :
- Designed, implemented, and evaluated machine learning solutions that consider clinical factors and responsible AI.
- Shared research findings with research and product teams.
- Contributed to an evolving team with a growth mindset, creating clarity and influencing the team strategy.
- Helped build and refine prototypes, gaining insights into transforming them into scalable, efficient code for real-world applications.
- Stay up-to-date with the latest trends and advancements in AI algorithms and technologies.
- Contributed to the development of adaptable software and data systems, which emphasize modular components for use across various teams and projects.
- Collaborated with engineering and science subject matter experts to understand project requirements and objectives.
Experience
0-2 Years
Level
Junior
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Summary : As a Machine Learning Intern, responsible for developing predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Developing and implementing scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
Skills : Communication, Attention to detail.
Description :
- Researched and explored existing generative AI models and algorithms applicable to proposal and report writing.
- Designed and developed custom generative AI solutions tailored to ARA’s needs and objectives.
- Trained and fine-tuned AI models using relevant datasets to optimize performance and accuracy.
- Tested and evaluated the effectiveness of AI solutions through rigorous experimentation and analysis.
- Collaborated with cross-functional teams to integrate AI solutions into existing workflows and systems.
- Provided documentation and training materials to facilitate the adoption and usage of AI solutions by team members.
- Stay updated on the latest advancements and trends in AI technology and propose innovative ideas for future projects.
Experience
7-10 Years
Level
Consultant
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Objective : As a Machine Learning Intern, responsible for identifying how complex genetic interactions lead to observed phenotypes in an efficient and interpretable manner and determining whether these insights lead to better design and predictions for our current and future intelligent pipelines.
Skills : Statistical analysis, Mathematical data manipulation.
Description :
- Created data models using machine learning tools to mine data from large datasets and provide meaningful insights.
- Developed software systems to automate the complete process.
- Collaborated with engineers and product managers to develop and execute requirements.
- Validated and audited labeled data for machine learning models.
- Implemented an algorithm to find possible erroneous annotations based on the pre-train model and created error reports to make the vendor modify the errors.
- Studied, created, and transformed data science prototypes.
- Designed machine learning systems.
Experience
0-2 Years
Level
Fresher
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Objective : As a Machine Learning Intern, responsible for designing and implementing machine learning models in cloud-based environments. Adapting and developing ML algorithms for business purposes
Skills : Curiosity, Inquisitiveness.
Description :
- Researched and implemented appropriate ML algorithms and tools.
- Developed machine learning applications for real-time processing of surgical video streams.
- Developed state-of-the-art algorithms in computer vision, and real.
- Development of a proof of concept for image processing.
- Algorithmed on pre-recorded video streams.
- Selected appropriate datasets and data representation methods.
- Wrote and reviewed code for AI/ML solutions in a programming language such as Python.
Experience
0-2 Years
Level
Freelancer
Education
Bachelor's degree in Information Technology
Machine Learning Intern Resume
Objective : As a Machine Learning Intern, responsible for analyzing and improving the efficiency, scalability, and stability of various components. Working on bridging the gap between the latest in deep learning research and its application in real-world products.
Skills : C, C++, Python, or Java.
Description :
- Ran machine learning tests and experiments.
- Performed statistical analysis and fine-tuning using test results.
- Assisted in the development and training of machine learning models using supervised, unsupervised, and semi-supervised learning techniques.
- Preprocessed and cleaned datasets to remove noise and ensure data quality for model training.
- Implemented feature engineering techniques to improve model accuracy and performance.
- Collaborated with senior data scientists to design machine learning experiments and evaluate different algorithms.
- Wrote and optimized code for machine learning algorithms, ensuring efficiency and scalability.
Experience
0-2 Years
Level
Junior
Education
Bachelor's Degree in Computer Science
Machine Learning Intern Resume
Summary : As a Machine Learning Intern, responsible for reporting to the software manager, with the help of mentors, have an opportunity to contribute impactful work to the next generation of imaging detection and safety algorithms for robotics surgical systems.
Skills : Feature Engineering, Data Visualization.
Description :
- Participated in the deployment of machine learning models into production environments, including integration with existing systems.
- Documented machine learning processes, including data preparation, model development, and evaluation results.
- Explored and experimented with new machine-learning techniques and algorithms to address unique and complex problems.
- Managed available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzed the ML algorithms that could be used to solve a given problem and ranked them by their success probability.
- Trained models and tuned their hyperparameters.
- Analyzed the errors of the model and designed strategies to overcome them.
Experience
7-10 Years
Level
Consultant
Education
Bachelor's degree in Information Technology
