As a Business Development Executive/Placement Executive, your main role is to connect HR professionals with students to ensure successful job placements. You'll focus on understanding company needs, fostering relationships with them, and effectively communicating job opportunities to students. Responsibilities:Searching of Companies and making tie-ups with the companies to place students will be the main responsibility of the candidate. Should have strong connections in the market for making tie ups.Connect students to employers by facilitating interviews, matching students to internship sites, and assisting with job placement.Provide support for student participation in job placement activities, including documentation, communication between employers and students. Serve as a liaison between the college, employers, and community regarding administrative and operating requirements for the work-based learning and job placement program.Develop and implement marketing plans and strategies for job placement and work-based learning opportunities.Utilize technology to promote job placement and work-based learning and maintain work-based learning/job placement website and social media platforms • Candidates should have strong communication skills. Organize and host employer visits, job fairs, and recruitment events.Develop and maintain relationships with employers to create job and internship opportunities for students. Coordinate and manage on-campus and off-campus recruitment activities, including interviews and placement drives.

We are looking for an experienced Data Science Trainer to deliver high-quality training to students at our institute. The ideal candidate should have strong expertise in Data Science, Machine Learning, and related tools, along with a passion for teaching and mentoring. Key Responsibilities:Conduct structured training sessions on Data Science, Machine Learning, Python, SQL, and AI-related topics. Develop training materials, assignments, and real-world projects to enhance learning outcomes. Deliver hands-on coding sessions and guide students in implementing data science solutions. Assess student progress through quizzes, projects, and technical evaluations. Stay updated with the latest industry trends and integrate them into training. Provide career guidance, interview preparation, and mentorship. Required Skills & Experience:3-5 years of experience in training or teaching Data Science concepts. Expertise in Python, SQL, Machine Learning, Deep Learning, Data Visualization (Matplotlib, Seaborn, Tableau/Power BI). Hands-on experience with pandas, NumPy, Scikit-Learn, TensorFlow/PyTorch. Strong understanding of EDA, Feature Engineering, Model Evaluation, and Deployment. Excellent communication, presentation, and mentoring skills. Experience with live projects and case studies is a plus. Prior experience in an EdTech or training institute.