Machine Learning Fresher Jobs in Delhi

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.

The role: Earn up to $800 - $1,500 per month (depending on experience) as a Data Scientist at Venture Smarter, your trusted partner in navigating the complex landscape of business growth and transition.As a Data Scientist, you will leverage your skills and expertise in data science, machine learning, and artificial intelligence to extract valuable insights from large and complex data sets. You will work on various projects and initiatives that aim to improve our products and services, enhance customer experience, and drive business growth and innovation.Head on over to search on Google for Venture Smarter then go to our Career page from the homepage if you dare to aspire for better in your career!**** Given the high number of applications we receive, we will only respond to those who meet the qualifications for the positions applied for.Please note that we will not reply to job application inquiries sent to our social media accounts. All communication from us will be conducted via email.If you do not receive a response, you are welcome to re-apply after six months for another suitable position within our company. ****Venture Smarter has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out youll know were the place to be.What the job entails: Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunitiesJob Requirements: Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning Proficient in programming languages and frameworks, such as Python, R, Java, or C++ Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications

***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.

Looking for freshers with skillset to work on live projects under web development domain

***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.