Engineering Fresher Jobs in Purba Bardhaman

Job Title: Sales and Marketing Engineer - Industrial Air Compressors* *Company Profile:* Join *Poorva Engineering &Tools Pvt Ltd a renowned Kolkata-based leader in high-end industrial engineering products. With decades of excellence, we deliver innovative and reliable solutions, including premium industrial air compressors, to clients across India. Our commitment to quality and customer satisfaction has positioned us as a trusted name in the industry. *Job Description:* We seek a dynamic *Sales and Marketing Engineer* to drive growth in our Industrial Air Compressors division. You will play a pivotal role in expanding our market presence, nurturing client relationships, and achieving sales targets. *Key Responsibilities:* - Develop and execute sales strategies for industrial air compressors. - Build and maintain relationships with B2B clients (manufacturers, distributors, etc.). - Conduct product presentations, demos, and technical consultations. - Perform market research to identify new opportunities and competitors. - Collaborate with technical teams to tailor solutions for client needs. - Prepare proposals, negotiate contracts, and ensure timely order closure. - Travel extensively across Kolkata and neighbouring regions to meet clients. *Requirements:* - Graduate degree in Science or related field. Age limit 26-30 years

:1. Responsible for ensuring the achievement of Customer Service and revenue Business for assigned leads which will be provided by the company.2. Source business from self-employed / salaried customers for retail business,3. Maintain a daily report and have to coordinate with all the Customer Support Departments.4. Taking care of all processes and related escalations. :1. Candidates must be minimum #Graduate and above, (HSC can apply for OFFROLL department) age limit 29 Years below.2. Freshers are welcome3. Candidates must have good Communication and presentation Skills.Interview Details: To get the interview details candidates have to send the Updated Resume by WhatsApp in this number (9433816131)Contact: Prosenjit Saha (9433816131).

*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.

*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.