Machine Learning Job Vacancies in West Bengal

There will be some research data, you will have to do coding, the job will be university related

have experience in AI/ML, Data analyst, FRS exposure and machine learning

***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 are a kolkata based educational hub looking for trainer having knowledge of AI/ML, data science, Python, cybersecurity, robotics.

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

a) Machine learning model integration b) AI algorithm implementationc) Data pre-processingd) AI model deploymente) AI system testingf) Hands on experience with programming languages like Python, Java, Ruby and PHPg) Build reusable code and libraries for future useh) Participate in the entire application lifecycle, focusing on coding and debuggingi) Knowledge of machine learning concepts for advanced applications involving model fine-tuning or customization.j) Basic understanding of NLP concepts like text pre-processing, tokenization, stemming/lemmatization, and language models.

***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.