Machine Learning Engineer Fresher Jobs in Bangalore

We are looking for an AI Engineer to join our team in Bangalore. This role is suitable for candidates with 0 to 5 years of experience. As an AI Engineer, your primary focus will be on developing and implementing artificial intelligence models and systems.**Key Responsibilities:**- **Develop AI Models:** Create and enhance AI models to solve specific problems, ensuring they are effective and efficient.- **Data Analysis:** Analyze large data sets to extract meaningful patterns and insights, which are crucial for training AI systems.- **Collaboration:** Work closely with software developers and data scientists to integrate AI solutions into existing applications and platforms.- **Testing and Validation:** Conduct tests on models to evaluate their performance, making necessary adjustments to improve accuracy.- **Documentation:** Maintain clear documentation of processes, models, and findings, facilitating knowledge sharing within the team.**Required Skills and Expectations:**Candidates should have a solid understanding of programming languages such as Python or Java, as these are essential for model development. Familiarity with machine learning frameworks like TensorFlow or PyTorch is crucial for building robust AI solutions. A strong analytical mindset and problem-solving abilities are key traits we expect. Additionally, it is important for candidates to communicate effectively, as collaboration with team members is pivotal. While prior experience is beneficial, a keen interest in artificial intelligence and a willingness to learn are equally valued. Candidates should have completed at least their 12th grade education.

We are looking for candidates who can demonstrate a proactive and hands-on approach to learning AI. Foundational AI/ML in Practice: You have moved past theory and have practical, hands-on experience. This must be demonstrated through: Personal or Academic Projects: You have built projects where you have trained a machine learning model (e.g., using Scikit-learn, PyTorch) and/or consumed a third-party AI API to create an application. Data Handling Skills: You have experience using Python with libraries like Pandas and NumPy to clean, manipulate, and prepare data for machine learning tasks. Knowledge of Modern AI Architectures: You can clearly explain and have a working knowledge of core concepts in the modern AI stack. You must understand: What Large Language Models (LLMs) are and the key differences between them. Model Context Protocol (MCP) Fundamentals: You must grasp the core mechanics of how models use context, including: The concept of a model's context window and its practical limitations. Basic strategies for managing conversation history or state in multi-turn interactions. The principles of Prompt Engineering and Retrieval-Augmented Generation (RAG). The core concepts of Agentic AI: what it means for an AI to have goals, use tools, and perform multi-step reasoning. Strong Programming Fundamentals: Proficiency in Python: You have used Python to build small applications or complex scripts. Familiarity with Backend Concepts: You understand the basics of building an API and have some exposure to a backend framework. Familiarity with Node.js is a strong plus. Analytical Mindset: You possess a bachelor's degree in computer science, Data Science, Engineering, or a related field, and you know how to break down complex problems logically.

Job Overview:This role is to support the students who are working on the course assignments and project as the part of ExcelR training.Responsibilities and Duties:- Evaluate Assignments of the Students- Help the participants to solve their Queries - mentor/ Co- mentor the projectsQualifications:-Any graduate-Completed the course on Data Analytics or Data Science-Should have a Good Communication skillsRequirements:For DA: any of the following 2 modules (Excel, My SQL, Tableau, PowerBI)For DS: Knowledge of ML concepts

To improve our machine learning systems, we are seeking a machine learning engineer with exceptional talent. You will be evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.Knowledge in Machine Learning & Artificial Intelligence/Machine Learning.Knowledge developing solutions with Pandas/Scikit-learn, Spark, or comparable technologies.Knowledge Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin, or other).Knowledge of relevant programming languages - for example, R, Python, C++, C, SQL, and Java - as needed to perform at the job levelKnowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job levelEnsuring that algorithms generate accurate user recommendations.Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.Have knowledge of mathematics, statistics, and algorithms.Superb analytical and problem-solving abilities.