Machine Learning Engineer Fresher Jobs in Delhi NCR

We are seeking a Machine Learning Engineer to join our team in Delhi. This role is ideal for individuals with 0 to 2 years of experience who are eager to develop their skills in a full-time, office-based environment.**Key Responsibilities:**- **Develop Machine Learning Models:** Design, implement, and test machine learning algorithms to address business challenges and improve processes. You will work with data to create models that can predict outcomes or automate tasks.- **Data Preprocessing:** Clean and prepare raw data for analysis. This involves transforming data into a usable format which is essential for training effective machine learning models.- **Model Evaluation:** Assess the performance of machine learning models using various metrics. You will analyze results to ensure models meet expected accuracy and performance standards.- **Collaboration with Teams:** Work alongside data scientists, software engineers, and business stakeholders to understand project requirements and deliver tailored solutions.- **Stay Updated on Trends:** Keep up with the latest advancements in machine learning technology and methods. Continuous learning is crucial for applying innovative approaches to your projects.**Required Skills and Expectations:**- A degree in Computer Science, Mathematics, or a related field, with a strong understanding of algorithms and data structures.- Basic knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.- Familiarity with programming languages like Python or R, which are commonly used for data manipulation and model development.- Strong analytical skills, attention to detail, and the ability to work effectively in a team environment. Open to feedback and eager to learn from more experienced colleagues is essential for growth in this role.

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

We have vacant of 3 data engineer intern Jobs in remote, Artificial Intelligence, Machine Learning, Python, for Freshers Educational Qualification : B.Tech/B.E Skill Artificial Intelligence, Machine Learning, Python etc.,

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.