TeksAcademy

The Placement Coordinator / Officer is responsible for planning, coordinating, and executing placement activities for students. This role acts as a bridge between students, training teams, and recruiting companies to ensure successful employment outcomes. Key Responsibilities  Coordinate campus recruitment and placement activities  Build and maintain relationships with companies, HRs, and recruitment partners  Identify job opportunities aligned with students’ skills and course completion  Schedule interviews, placement drives, and company visits  Prepare and share student profiles, resumes, and placement data with employers  Guide students on resume preparation, interview skills, and career readiness  Track student eligibility, attendance, and placement status  Maintain accurate placement records, reports, and documentation  Coordinate with trainers and academic teams for student readiness  Share placement updates and opportunities through emails, WhatsApp, or portals  Collect feedback from recruiters and placed candidates  Ensure placement targets and timelines are met Skills & Competencies  Strong communication and interpersonal skills  Excellent coordination and organizational abilities  Knowledge of recruitment and hiring processes  Ability to work with students, faculty, and corporate teams  Problem-solving and multitasking skills Qualifications  Any Graduate/Any Postgraduate  1–3 years of experience in placements. 

Position Title: Data Science Trainer

Company: TeksAcademy

Location: Hyderabad

Employment Type: Full-Time (Onsite)

About the Role:

We’re looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you’ll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making.

Key Responsibilities:

• Conduct Data Science Training: Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more.
• Create and Curate Course Materials: Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards.
• Facilitate Hands-On Learning: Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques.
• Assess and Provide Feedback: Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills.
• Stay Current with Trends: Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses.
• Provide Mentorship: Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work.
• Collaborate and Improve: Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results.

Required Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL.
• Teaching Experience: Proven track record of teaching or training in a technical field, especially data science, either online or in-person.
• Technical Expertise: Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.

Job description Job Title: AWS and DevOps Trainer Location: Bangalore/Hyderabad Job Type: Full-time (Onsite) Job Summary: We are seeking a skilled and passionate AWS and DevOps Trainer to deliver high-quality training sessions to students or professionals. The ideal candidate should have hands-on experience in cloud computing with AWS and expertise in modern DevOps tools and practices. The trainer will be responsible for preparing training content, delivering sessions, assessing participants, and ensuring they gain practical knowledge and skills. Key Responsibilities:  Design and deliver training programs on AWS Cloud Services and DevOps tools & methodologies.  Develop course materials, hands-on labs, exercises, and assessments.  Conduct instructor-led training (ILT), virtual instructor-led training (VILT), and workshops.  Explain complex technical concepts in a simple and effective manner.  Stay updated with the latest AWS services and DevOps trends and incorporate them into the training curriculum.  Provide guidance, mentorship, and technical support to learners.  Monitor and assess the progress of learners and provide feedback.  Customize training content based on audience level and requirements. Key Topics to Cover: AWS:  EC2, S3, VPC, IAM, Lambda, RDS, CloudFormation, CloudWatch, Route 53, etc.  Architecting on AWS and preparing for AWS Certifications (e.g., Solutions Architect Associate)  Security and compliance in AWS  Cost optimization and billing DevOps:  CI/CD pipelines (Jenkins, GitLab CI, etc.)  Source control (Git, GitHub/GitLab/Bitbucket)  Configuration management (Ansible, Chef, Puppet)  Containerization (Docker) and orchestration (Kubernetes)  Infrastructure as Code (Terraform)  Monitoring and logging tools (Prometheus, Grafana, ELK, etc.) Requirements:  Any Graduate/Any Post Graduate  Minimum [1–5] years of hands-on experience in AWS and DevOps.  Prior experience in teaching, mentoring, or delivering technical training.  AWS certifications (e.g., AWS Certified Solutions Architect, Developer, SysOps Admin).  Knowledge of Agile and DevOps culture and practices.  Excellent communication, presentation, and interpersonal skills.  Passion for teaching and sharing knowledge.