Fresher Machine Learning Jobs

We are looking for a Data Entry Operator for copy-paste jobs based in Gorka, Raigarh. This part-time work-from-home position is ideal for candidates with minimal experience. A 10th-grade education is required. Key responsibilities include:1. **Data Entry**: Accurately input data from various sources into designated formats or databases. Attention to detail is crucial to ensure all information is entered correctly.2. **Copy-Paste Tasks**: Perform repeated copy-paste actions as directed, ensuring information is transferred accurately and efficiently. This requires following instructions carefully.3. **Review and Edit**: Check entries for errors and make necessary corrections. This helps maintain the overall quality of the data.4. **Organize Files**: Keep digital files organized and accessible. Proper organization helps streamline tasks and improve efficiency.Required skills and expectations include:- **Basic Computer Skills**: Familiarity with using computers and standard software, such as word processors and spreadsheets, is essential for this role.- **Attention to Detail**: A keen eye for detail is necessary to avoid mistakes in data entry.- **Time Management**: Ability to manage time effectively to meet deadlines and complete tasks promptly.- **Self-Motivation**: Since this is a work-from-home position, the ability to work independently and stay focused is crucial.Candidates with a willingness to learn and adapt to new tasks will thrive in this role.

We are looking for a Data Annotator to join our team in Pakka Bharo. This is a part-time work-from-home position suitable for individuals with 0 to 1 year of experience, and a minimum education of 10th pass. **Key Responsibilities:**- **Labeling Data**: You will analyze various types of data and accurately label them according to specific guidelines. This helps in creating datasets that are essential for training machine learning models.- **Quality Assurance**: It is important to review your work and ensure that the data is annotated correctly. You will be responsible for maintaining high accuracy in all your tasks.- **Feedback Implementation**: You may receive feedback on your annotations. You should be able to adjust your work based on this feedback to improve the quality and consistency of your output.- **Collaboration with Team**: Engage effectively with team members to understand project requirements and enhance overall data quality. Communication is key to ensuring everyone is on the same page.**Required Skills and Expectations:**- Attention to Detail: You must be precise and thorough in your work to ensure accurate data labeling.- Basic Computer Skills: Familiarity with computers and data entry processes is essential, as you will be working with various software tools.- Time Management: Ability to manage your time effectively and meet deadlines is crucial for this role.- Willingness to Learn: A proactive approach to learning new processes and tools will help you grow in this position.

AI/ML Data Scientist/Engineer FreshersResponsibilities Support development and validation of machine learning and statistical models for business use cases Assist in building forecasting and predictive models using established techniques and libraries Contribute to Generative AI use cases including prompt development, evaluation, and basic experimentation with LLMs Support Retrieval-Augmented Generation (RAG) workflows including document ingestion, embeddings, and retrieval Perform data preparation, feature engineering, and exploratory data analysis Work with structured and unstructured data from enterprise sources and AI platforms Collaborate with software engineers to integrate models into applications and pipelines Help document models, assumptions, results, and data pipelines Monitor model performance and assist with troubleshooting and improvements Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units. Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions. Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions. Continually monitor and evaluate the effectiveness of AI/ML models and forecasting techniques, making necessary adjustments to optimize performance. Stay abreast of the latest AI/ML trends and technologies, identifying opportunities for innovation and improvementEducation & ExperienceBachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Required Skills Proficiency in Python and familiarity with data science libraries (pandas, NumPy, scikit-learn) Basic understanding of machine learning algorithms and statistical modeling techniques Experience working with SQL and relational or NoSQL databases Exposure to cloud or data platforms such as Databricks or AWS Familiarity with version control tools such as Git Ability to clearly communicate data insights and document work Experience working in agile or Scrum-based teams

We are looking for a detail-oriented Data Annotator to join our team in a part-time, work-from-home role. As a Data Annotator, you will play a vital role in preparing and improving data for machine learning and artificial intelligence projects.**Key Responsibilities:**- Annotate Data: You will label and categorize data such as images, text, or audio to help train machine learning models. This involves carefully following guidelines to ensure accuracy.- Review Annotations: After your initial work, youll review your annotations and make corrections if necessary. This helps maintain high-quality data standards.- Communicate with Team: You will regularly share updates and ask questions to your team. Clear communication will help us all understand project needs and address challenges effectively.- Meet Deadlines: It is important to complete your tasks on time. You will be expected to manage your time well to ensure that projects stay on track.**Required Skills and Expectations:**- Attention to Detail: You must be meticulous in your work to ensure that all data is labeled accurately.- Basic Computer Skills: Familiarity with computers and software tools is important, as you will be working with various platforms for annotation.- Reading and Understanding Guidelines: You should be able to read instructions and follow them carefully.- Self-Motivated: Working from home requires self-discipline. You should be able to work independently and stay focused on tasks.This role is suitable for candidates with a passion for technology and an eagerness to learn. No prior experience is required, making it an excellent opportunity for newcomers.

As a Data Annotator, you will be a crucial part of our team, responsible for labeling and organizing data that helps train machine learning models. This position allows you to work from home on a part-time basis.**Key Responsibilities:**- **Data Labeling:** Accurately tag and categorize various data types, such as images, text, or videos, ensuring that each piece of data is correctly identified for training purposes.- **Quality Assurance:** Review your work and check for errors to maintain a high standard of quality in the annotated data.- **Follow Guidelines:** Carefully adhere to specific project guidelines and instructions to ensure consistency and accuracy in data annotation.- **Feedback Implementation:** Actively incorporate feedback from supervisors to improve your annotation skills and understanding of project requirements.- **Meeting Deadlines:** Complete tasks within given time frames, contributing to the overall progress of the project.**Required Skills and Expectations:**You should have a basic understanding of computer operations and be comfortable using various software tools. Attention to detail is essential, as you will be working with large amounts of data that require precision. Good communication skills are important for understanding project guidelines and providing updates on your progress. A willingness to learn and adapt to new tasks is also crucial, especially if you are new to data annotation. A background of at least a 10th-grade education is preferred, though experience is not mandatory.

As a Data Annotator, you will play a crucial role in improving the accuracy of machine learning models by labeling data. This position is suitable for individuals looking to start their career in the data industry. **Key Responsibilities:**- **Data Labeling:** Accurately label images, text, or audio files following specific guidelines to ensure quality and consistency in the data used for machine learning.- **Quality Assurance:** Review and verify the labeled data to check for errors or inconsistencies, ensuring data quality before it is submitted for further processing.- **Feedback Implementation:** Act on feedback from supervisors to improve labeling techniques and maintain high standards in data annotation.- **Communication:** Report progress and challenges to team leaders to keep the workflow smooth and address any issues promptly.- **Timely Completion:** Meet deadlines for data annotation tasks while maintaining a high level of accuracy in your work.Required skills and expectations include a basic understanding of data annotation processes. You should have good attention to detail to ensure accuracy in your work. Punctuality and the ability to meet deadlines are essential, as is the capability to follow instructions carefully. Basic computer skills and familiarity with common software applications are beneficial, along with a willingness to learn and adapt to new technologies. Strong communication skills will also help in collaborating effectively with the team.