Sr Hadoop Operations Engineer

Only Female Candidates

Looking for the Implementation Managers, Belgaum Location respectively who are excited to be part of our fast-paced, high-intensity work environment and work with the Delivery Leaders aligned with our Mission.

Our Mission 2025 is to transform the way learning is delivered by impacting 1 million+ children annually to get closer to our vision to democratize quality early education. This role will be an integral part of the growing Delivery Team who contribute to our mission to expand from our current set of 700 partner schools to 7000+ schools in 3 years by 2025.

Responsibilities

● Independently manage end to end implementation of Kreedo curriculum in 18 – 20 schools assigned in specific area/s.

● Visit each school monthly to observe and assess if schools are meeting the set parameters. ● Assist the teachers to identify areas of development and improvement.

● Write detailed observation reports based on the visits.

● Provide guidance to the school management to successfully implement Kreedo Curriculum

Requirements

● Excellent interpersonal skills

● Should be fairly fluent in English (Both Spoken and Written)

● Willing to travel

● Working knowledge of Microsoft Office Suite (Word and Excel) and Google Docs

● Desire to build a career in Early Childhood Education Note: Exposure to young children in a personal / professional capacity will also be an added advantage.

Experience

● Experience: 0 - 4 years of Experience in sales or training or delivery (post sales support), preferably from service industry.

● Education: Any Graduation / Post-Graduation (Bachelor / Master degree in Education / Early Childhood Education / Human Development will be an added advantage)

● Language Preference: English, Hindi & any Local Language ( Marathi)

● Job Location: Belgaum

Job Types: Full-time, Permanent

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.