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3 Job openings at Red & White Multimedia Education Official
About Red & White Multimedia Education Official

A multimedia educational platform providing resources and workshops for educators and learners.

Placement Associate

Not specified

0 - 3 years

INR 0.5 - 1.0 Lacs P.A.

Work from Office

Full Time

The Placement drives student placements by organizing job fairs, building employer partnerships, and managing placement processes. Key Responsibilities: Develop strategies to maximize placements. Organize job fairs, campus interviews, and alumni meet-ups. Build strong industry and employer connections. Analyze market trends and recommend course updates. Address student and employer queries, providing solutions. Streamline workflows and implement SOPs. Monitor placement effectiveness and improve processes. Maintain student records and employer feedback. Achieve placement targets and report key metrics. Lead and develop the placement team. Requirements: Bachelors/Masters in a relevant field. Experience in career services, recruitment, or IT education. Strong networking, leadership, and communication skills. Knowledge of IT industry trends and hiring processes. Familiarity with resume building, interview prep, and career counseling.

Full Stack Development Faculty

Not specified

1 - 2 years

INR 2.0 - 6.0 Lacs P.A.

Work from Office

Full Time

Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver training on front-end and back-end technologies. Develop curriculum for HTML, CSS, Bootstrap, jQuery, JavaScript, React JS, Node JS, and Data Structures & Algorithms (DSA). Guide students through hands-on projects and coding exercises. Required Skills: Proficient in front-end: HTML, CSS, Bootstrap, jQuery, JavaScript, React JS, DSA. Proficient in back-end: Node JS, DSA. Strong communication and mentoring skills. Education and Experience Requirements: Bachelors/Masters in Computer Application, IT, or Designing Diploma, or relevant degree. Short courses or digital certifications in related fields are a plus. 1-2 years of experience in IT, with 0-6 months in a teaching or trainer role. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently.

Data Science & AI / ML Faculty

Not specified

1 - 4 years

INR 7.0 - 11.0 Lacs P.A.

Work from Office

Full Time

guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelors/Master s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently.

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