Delhi , India Designation: Partner Position: DevOps Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The DevOps Mentor will provide expert training and mentorship to Eduroids' students on a part-time basis, emphasizing the practical implementation of DevOps tools and methodologies. The role involves delivering interactive sessions, developing up-to-date course content, and guiding students through real-world DevOps workflows to prepare them for careers in cloud computing and CI/CD automation. Key Responsibilities Training Delivery: Conduct weekend training sessions covering DevOps principles, tools, and cloud deployment strategies. Curriculum Development: Design and maintain course content that aligns with current industry best practices in DevOps and cloud-native technologies. Hands-On Learning: Facilitate projects and case studies, helping students gain experience in DevOps practices like CI/CD, configuration management, and container orchestration. Mentorship: Provide personalized guidance, addressing queries and helping students understand complex DevOps tools and techniques. Industry Alignment: Ensure course material stays relevant to the latest DevOps trends, tools, and methodologies used in modern organizations. Assessment and Feedback: Evaluate participant performance through regular assessments and provide constructive feedback for improvement. Knowledge Transfer: Share real-world insights to connect theoretical concepts with practical DevOps implementations. Key Measures Student Progress: Monitor skill development, ensuring students gain proficiency in core DevOps tools and methodologies. Industry Relevance: Maintain alignment with current trends in cloud platforms, automation tools, and infrastructure as code. Feedback Scores: Achieve high ratings for training quality and mentorship effectiveness. Project Completion: Ensure students successfully complete DevOps projects, including CI/CD pipelines, automated testing, and containerized applications. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, IT, or a related field. Experience: Minimum of 15 years of professional experience in DevOps, cloud computing, or related roles. Hands-on experience working with Fortune 500 companies is preferred. Proven expertise in building and managing CI/CD pipelines, automation scripts, and cloud deployments. Technical Skills: Proficiency in DevOps tools like Jenkins , Docker , Kubernetes , Git , and Terraform . Familiarity with cloud platforms such as AWS , Azure , or Google Cloud . Expertise in scripting languages like Bash , Python , or PowerShell . Strong understanding of Infrastructure as Code (IaC), monitoring, and log management tools. Soft Skills: Excellent communication and instructional skills. Ability to simplify complex DevOps workflows for diverse learners. Passion for teaching and fostering student growth. Personal Attributes Dedicated to empowering the next generation of DevOps professionals. Resilient and adaptable, with a focus on continuous improvement. Collaborative mentor who fosters an inclusive and supportive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to shape future DevOps professionals and influence their career development. Engaging and forward-thinking work culture.

Delhi , India Designation: Partner Position: SIEM Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The SIEM Mentor will provide expert training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with skills in Security Information and Event Management (SIEM). This role involves delivering practical training sessions, developing industry-relevant course materials, and guiding students through real-world security monitoring and incident response scenarios to prepare them for cybersecurity roles. Key Responsibilities Training Delivery: Conduct weekend training sessions focused on SIEM tools, processes, and best practices in security operations. Curriculum Development: Create and maintain up-to-date course content aligned with the latest trends in SIEM and cybersecurity. Hands-On Learning: Facilitate practical exercises, simulations, and case studies on threat detection, log analysis, and incident response using popular SIEM platforms. Mentorship: Offer personalized guidance to participants, addressing their questions and helping them grasp complex security concepts. Industry Alignment: Ensure training material reflects current cybersecurity challenges and industry standards in SIEM. Assessment and Feedback: Evaluate student progress through assessments, providing constructive feedback to foster their improvement. Knowledge Transfer: Share insights and experiences from real-world cybersecurity scenarios to bridge theory and practical application. Key Measures Student Progress: Track participant performance in mastering SIEM concepts, tools, and workflows. Industry Relevance: Maintain curriculum alignment with evolving cybersecurity threats, compliance standards, and technologies. Feedback Scores: Achieve high participant satisfaction ratings for training quality and mentorship. Project Completion: Ensure students complete SIEM-related projects, including log analysis, threat hunting, and creating custom alerts. Qualifications Education: Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or a related field. Experience: Minimum of 10 years of professional experience in cybersecurity, with a focus on SIEM tools and security operations. Experience working with Fortune 500 companies or high-security environments preferred. Demonstrated expertise in implementing and managing SIEM platforms in enterprise environments. Technical Skills: Proficiency with SIEM platforms such as Splunk , IBM QRadar , ArcSight , or LogRhythm . Knowledge of threat intelligence, log management, and compliance requirements like GDPR, PCI DSS, and HIPAA. Familiarity with scripting languages like Python or PowerShell for automation in SIEM tools. Strong understanding of cybersecurity frameworks like MITRE ATT&CK , NIST , or CIS Controls . Soft Skills: Excellent communication and presentation abilities. Ability to translate complex cybersecurity concepts into actionable knowledge for learners. Passion for teaching and mentoring aspiring cybersecurity professionals. Personal Attributes Dedicated to fostering the next generation of cybersecurity experts. Resilient and adaptable, with a focus on continuous improvement. Collaborative mentor who creates an engaging and supportive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to shape the future of cybersecurity professionals and contribute to their career success. Engaging and forward-thinking work culture.

Delhi , India Designation: Partner Position: SOC Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The SOC Instructor Mentor will deliver advanced training and mentorship to Eduroids' students on a part-time basis, focusing on Security Operations Center (SOC) concepts, tools, and best practices. The role involves conducting engaging training sessions, developing industry-relevant course materials, and providing personalized guidance to students, equipping them with the skills required to excel in SOC roles such as security analysts and incident responders. Key Responsibilities Training Delivery: Lead interactive weekend sessions on SOC operations, incident response, threat detection, and security monitoring. Demonstrate workflows and methodologies for handling cybersecurity incidents within a SOC environment. Curriculum Development: Design and update course content, labs, and case studies aligned with SOC tools and frameworks, such as SIEM, SOAR, and endpoint detection platforms. Create comprehensive training materials covering SOC processes, including triage, analysis, containment, and remediation. Hands-On Learning: Facilitate hands-on labs using SOC tools like Splunk, IBM QRadar, ArcSight, and SentinelOne. Guide students through simulated incident response scenarios and log analysis exercises. Mentorship: Provide one-on-one guidance to students, addressing their questions and helping them understand real-world SOC workflows. Offer career advice, including certifications and skill-building strategies for aspiring SOC professionals. Industry Alignment: Ensure training materials reflect the latest cybersecurity trends, SOC methodologies, and compliance standards. Assessment and Feedback: Evaluate students through practical exercises, incident response scenarios, and periodic assessments. Provide constructive feedback to enhance participants’ skills and confidence. Knowledge Transfer: Share insights from a minimum of 15 years of professional experience in cybersecurity and SOC operations, emphasizing enterprise-grade practices. Key Measures Student Competency: High rates of student skill acquisition, demonstrated through successful completion of projects and assessments. Curriculum Relevance: Training content is continuously updated to align with current SOC tools, standards, and practices. Hands-On Proficiency: Students demonstrate practical expertise in using SOC tools and handling cybersecurity incidents. Feedback Scores: Achieve excellent ratings from students for training quality and mentorship effectiveness. Qualifications Education: Bachelor’s or Master’s degree in Cybersecurity, Information Technology, or a related field. Experience: Minimum of 15 years of professional experience in SOC operations, cybersecurity, or incident response. Hands-on experience with SOC tools, threat intelligence, and forensic analysis in enterprise environments. Real-time experience with Fortune 500 companies is highly preferred. Technical Skills: Proficiency in SOC workflows, including threat detection, incident response, and log management. Experience with SIEM solutions (Splunk, IBM QRadar, ArcSight) and SOAR platforms. Familiarity with scripting languages like Python, PowerShell, or Bash for automating SOC tasks. Strong understanding of MITRE ATT&CK framework and cybersecurity standards like NIST and ISO 27001. Soft Skills: Excellent communication and presentation abilities. Proven mentorship skills with a passion for teaching and guiding aspiring cybersecurity professionals. Strong analytical and critical thinking skills. Personal Attributes Passionate about cybersecurity and SOC operations. Resilient, adaptable, and committed to continuous learning. Collaborative team player who fosters an inclusive and engaging learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to mentor and shape the next generation of SOC professionals. Collaborative and innovative work culture.

Delhi , India Designation: Partner Position: Financial Analyst Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Financial Analyst Instructor Mentor will provide expert training and mentorship to Eduroids' students on a part-time basis, focusing on financial analysis, modeling, and reporting skills. This role involves delivering interactive training sessions, developing relevant course content, and guiding students in mastering key financial concepts to prepare for careers in investment analysis, corporate finance, and advisory roles. Key Responsibilities Training Delivery: Conduct engaging weekend training sessions covering financial analysis, valuation techniques, and corporate finance fundamentals. Introduce students to financial modeling, forecasting, and scenario analysis. Curriculum Development: Design and update comprehensive course materials aligned with the latest industry trends and practices. Create case studies, simulations, and projects to provide real-world learning experiences. Hands-On Learning: Guide students through practical exercises on financial statement analysis, cash flow projections, and sensitivity analysis. Teach the use of advanced tools such as Microsoft Excel, Bloomberg Terminal, and Power BI for financial analysis. Mentorship: Offer personalized guidance to participants, addressing questions and helping them master advanced financial concepts. Provide career advice, including guidance on certifications such as CFA (Chartered Financial Analyst) or FMVA (Financial Modeling & Valuation Analyst). Industry Alignment: Ensure all training content reflects the current standards and expectations in financial analysis and reporting. Assessment and Feedback: Monitor student progress through evaluations, practical assignments, and project presentations. Provide constructive feedback to help students refine their financial and analytical skills. Knowledge Transfer: Share over 15 years of industry experience, including corporate finance, investment analysis, and financial planning. Offer insights into real-world financial decision-making processes. Key Measures Student Skill Development: Students demonstrate proficiency in financial modeling, analysis, and decision-making. Curriculum Relevance: Maintain an up-to-date and industry-aligned curriculum. Hands-On Expertise: Students successfully complete practical projects, showcasing their ability to apply financial concepts. Feedback Scores: Achieve high ratings for training quality, mentorship, and practical relevance. Qualifications Education: Bachelor’s or Master’s degree in Finance, Accounting, Economics, or a related field. Experience: Minimum of 15 years of professional experience in financial analysis, corporate finance, or investment banking. Proven expertise in creating financial models, conducting valuations, and analyzing market trends. Experience working with Fortune 500 companies is highly preferred. Technical Skills: Proficiency in financial modeling, forecasting, and valuation techniques. Expertise with tools like Excel (advanced), Power BI, Tableau, and Bloomberg Terminal. Knowledge of financial reporting standards and regulatory compliance. Soft Skills: Exceptional communication and presentation skills. Strong problem-solving and analytical abilities. Ability to simplify complex financial concepts for a diverse audience. Personal Attributes Passionate about financial education and empowering others. Resilient, adaptable, and committed to lifelong learning. Collaborative mentor who fosters an engaging and inclusive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to mentor aspiring financial analysts and contribute to their professional growth. Collaborative and dynamic work environment.

Delhi , India Designation: Partner Position: Wealth Management Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Wealth Management Instructor Mentor will provide expert training and mentorship to Eduroids' students on a part-time basis, focusing on wealth management principles, strategies, and tools. This role involves delivering interactive training sessions, developing industry-relevant course materials, and offering personalized guidance to students, preparing them for careers in wealth management, financial planning, and investment advisory. Key Responsibilities Training Delivery: Conduct engaging weekend training sessions covering core wealth management topics such as portfolio management, financial planning, investment strategies, and client relationship management. Provide insights into the use of financial analysis tools and platforms. Curriculum Development: Develop and update course materials that reflect current trends and regulations in wealth management and financial planning. Design case studies and simulations that mimic real-world wealth management scenarios. Hands-On Learning: Guide students through practical exercises, including portfolio creation, risk assessment, and retirement planning using tools like Bloomberg, Morningstar, or Excel. Introduce participants to wealth management software such as eMoney Advisor, Wealthbox, or Orion Advisor Tech. Mentorship: Offer personalized guidance to students, addressing individual learning needs and career aspirations in the wealth management field. Provide practical advice on certifications like CFP (Certified Financial Planner) or CFA (Chartered Financial Analyst). Industry Alignment: Ensure training content aligns with the latest market trends, regulatory requirements, and client servicing strategies in wealth management. Assessment and Feedback: Assess student progress through quizzes, financial modeling exercises, and portfolio presentations. Provide constructive feedback to improve their analytical and client management skills. Knowledge Transfer: Share over 15 years of industry experience, including client advisory, portfolio management, and financial planning, to bridge theoretical knowledge and practical application. Key Measures Student Skill Development: High competency levels in financial planning, portfolio management, and wealth advisory strategies. Curriculum Relevance: Ensure training materials reflect the latest advancements in wealth management tools and techniques. Hands-On Expertise: Students demonstrate practical skills in creating and managing investment portfolios. Feedback Scores: Achieve excellent participant ratings for training quality and mentorship. Qualifications Education: Bachelor’s or Master’s degree in Finance, Economics, Business, or a related field. Experience: Minimum of 15 years of professional experience in wealth management, financial planning, or investment advisory roles. Proven track record of managing high-net-worth clients and portfolios. Real-time experience with Fortune 500 financial institutions is highly preferred. Technical Skills: Proficiency in financial modeling, asset allocation, and investment analysis. Expertise in financial planning software and portfolio management tools. Strong understanding of market trends, risk management, and regulatory compliance. Soft Skills: Exceptional communication and interpersonal skills for mentoring and client engagement. Strong analytical and problem-solving abilities. Ability to simplify complex financial concepts for diverse audiences. Personal Attributes Passionate about financial education and wealth management. Resilient, adaptable, and committed to continuous improvement. Collaborative and inspiring mentor who creates an engaging learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to mentor and shape the next generation of wealth management professionals. Collaborative and dynamic work environment.

Delhi , India Designation: Partner Position: AI/ML Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The AI/ML Mentor will provide advanced training and mentorship to Eduroids' students on a part-time basis, focusing on developing practical skills in artificial intelligence and machine learning. This role involves delivering interactive sessions, curating up-to-date course content, and guiding students through real-world AI/ML challenges to prepare them for competitive careers in the field. Key Responsibilities Training Delivery: Conduct weekend training sessions covering core AI/ML concepts, algorithms, and implementation using industry-standard tools and frameworks. Curriculum Development: Design and update course content to reflect current advancements in AI/ML technologies and methodologies. Hands-On Learning: Facilitate hands-on projects and case studies, enabling participants to apply their knowledge to real-world AI/ML scenarios. Mentorship: Provide personalised guidance, address student queries, and assist in overcoming complex challenges in AI/ML workflows. Industry Alignment: Ensure that course material and training align with current AI/ML trends and real-world applications in diverse industries. Assessment and Feedback: Evaluate participants’ progress through regular assessments and provide actionable feedback for improvement. Knowledge Transfer: Share real-world insights and examples to bridge theoretical knowledge and practical applications of AI/ML. Key Measures Student Progress: Track participant skill development and ensure mastery of AI/ML concepts, tools, and workflows. Industry Relevance: Maintain course content that aligns with cutting-edge AI/ML advancements and practices. Feedback Scores: Achieve high satisfaction ratings from participants for quality of instruction, hands-on guidance, and mentorship. Project Completion: Ensure students successfully complete AI/ML projects, demonstrating their ability to implement models and solve problems effectively. Qualifications Education: Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. Experience: Minimum of 15 years of professional experience in AI/ML or related roles. Hands-on experience working with Fortune 500 companies is preferred. Proven expertise in developing and deploying machine learning and AI models in production. Technical Skills: Proficiency in programming languages such as Python and R . Experience with AI/ML frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Knowledge of natural language processing (NLP), computer vision, and reinforcement learning. Familiarity with big data platforms (Hadoop, Spark) and cloud technologies (AWS, Azure, Google Cloud). Soft Skills: Exceptional communication and teaching abilities. Ability to simplify complex concepts for learners at various skill levels. Passion for mentoring and a commitment to student success. Personal Attributes Passionate about advancing AI/ML education and fostering innovation. Resilient and adaptable, with a continuous learning mindset. Collaborative and inspiring mentor who creates an engaging and inclusive environment for learners. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working opportunities. Opportunity to shape future AI/ML professionals and impact their career trajectories. Supportive and innovative work culture.

Delhi , India Designation: Partner Position: Data Analyst Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Data Analyst Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data analytics skills. This role involves delivering hands-on training sessions, developing course materials, and offering personalised guidance to students to enhance their technical proficiency and career readiness. Key Responsibilities Training Delivery: Conduct weekend training sessions, focusing on data analysis tools, techniques, and methodologies. Curriculum Development: Develop and maintain course content that aligns with industry standards and the latest trends in data analytics. Hands-On Learning: Guide participants through practical exercises, real-world case studies, and data analysis projects to enhance their technical skills. Mentorship: Provide personalised support, answering queries and helping students understand and apply data analytics concepts. Industry Alignment: Ensure that all training sessions and materials reflect the latest advancements in data analytics tools, trends, and best practices. Assessment and Feedback: Monitor student progress through regular assessments, offer constructive feedback, and suggest improvement strategies. Knowledge Transfer: Share practical insights and real-world examples to bridge the gap between theoretical concepts and industry applications. Key Measures Student Progress: Track and evaluate student performance through assessments, ensuring skill acquisition and concept mastery. Industry Relevance: Maintain and update curriculum content to align with industry needs and emerging technologies in data analytics. Feedback Scores: Achieve high satisfaction ratings from participants for training quality and mentorship. Hands-On Projects: Ensure students complete practical projects showcasing their analytical capabilities. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Experience: Minimum of 15 years of professional experience as a Data Analyst or in a related role. Must possess real-time experience working with Fortune 500 companies. Proven expertise in data analytics, data visualization, and reporting. Technical Skills: Proficiency in tools like SQL , Python , and R . Advanced skills in data visualization platforms such as Tableau , Power BI , or Looker . Knowledge of statistical analysis, data cleaning, and predictive analytics. Soft Skills: Excellent communication and presentation skills. Ability to simplify complex data concepts for learners from diverse backgrounds. A passion for teaching, mentoring, and guiding the next generation of data professionals. Personal Attributes Enthusiastic about sharing knowledge and empowering learners. Resilient and adaptable, committed to continuous improvement. Collaborative mentor who fosters an engaging and inclusive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to shape the next generation of data analytics professionals. Supportive and innovative work culture.

Delhi , India Designation: Partner Position: Financial Operations & ERP Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Financial Operations & ERP Instructor Mentor will provide specialized training and mentorship to Eduroids' students on a part-time basis, focusing on ERP systems and financial operations. This role includes delivering interactive sessions, designing curriculum materials, and mentoring students to build expertise in ERP platforms, financial process optimization, and enterprise resource planning strategies to prepare them for real-world financial and operational roles. Key Responsibilities Training Delivery: Conduct weekend training sessions covering financial operations, ERP system functionalities, and process optimization. Teach students about ERP systems like SAP, Oracle NetSuite, and Microsoft Dynamics 365. Curriculum Development: Develop and regularly update course materials to reflect the latest industry practices in ERP and financial operations. Design hands-on exercises, case studies, and simulations to enhance practical understanding. Hands-On Learning: Provide real-world scenarios for ERP implementation, financial reporting, and operational workflows. Guide students in configuring and customizing ERP systems to meet business requirements. Mentorship: Offer personalized guidance, addressing questions related to ERP functionalities, financial modules, and career paths in financial operations. Provide insights on ERP certifications, such as SAP FI/CO, Oracle ERP Cloud, or Microsoft Dynamics certifications. Industry Alignment: Ensure training content aligns with current trends in ERP implementations, financial compliance, and operations management. Assessment and Feedback: Evaluate student performance through practical assessments, ERP case studies, and project deliverables. Offer actionable feedback to help students master key concepts and techniques. Knowledge Transfer: Share over 15 years of professional experience in financial operations and ERP systems implementation. Provide insights into overcoming challenges during ERP rollouts and operational transformations. Key Measures Student Skill Development: Students demonstrate expertise in ERP systems and financial operations processes. Hands-On Expertise: Students successfully complete ERP configuration projects and process optimization exercises. Feedback Scores: Maintain high satisfaction ratings for training quality and mentorship effectiveness. Curriculum Relevance: Deliver up-to-date content that meets industry standards and employer expectations. Qualifications Education: Bachelor’s or Master’s degree in Finance, Accounting, Information Systems, or a related field. Experience: Minimum of 15 years of experience in financial operations, ERP implementation, or process optimization. Proven experience with ERP platforms like SAP, Oracle NetSuite, or Microsoft Dynamics 365. Experience with Fortune 500 companies is highly preferred. Technical Skills: Proficiency in ERP systems, including configuration, customization, and integration. Strong understanding of financial modules like General Ledger, Accounts Payable, Accounts Receivable, and Fixed Assets. Knowledge of financial compliance and operational workflows. Soft Skills: Excellent communication and presentation skills. Strong problem-solving and analytical capabilities. Ability to simplify technical ERP concepts for diverse audiences. Personal Attributes Passionate about empowering students and sharing knowledge. Adaptable and committed to staying current with ERP technologies. Collaborative mentor who creates an inclusive and engaging learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to mentor future financial operations professionals and ERP experts. Collaborative and innovative work culture.

Delhi , India Designation: Partner Position: Data Science Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Data Science Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data science skills. This role involves delivering interactive sessions, developing comprehensive course materials, and offering personalised guidance to prepare students for real-world challenges in data science. Key Responsibilities Training Delivery: Conduct weekend sessions focusing on core data science concepts, tools, and techniques, including machine learning, data modelling, and statistical analysis. Curriculum Development: Develop and regularly update course content to reflect the latest advancements in data science and align with industry requirements. Hands-On Learning: Lead participants through practical exercises, real-world projects, and case studies to build their expertise in data science workflows. Mentorship: Provide one-on-one guidance, address queries, and support students in mastering complex concepts and techniques. Industry Alignment: Ensure that training sessions are tailored to match industry trends and emphasize practical applications of data science methodologies. Assessment and Feedback: Evaluate student performance through assessments, offer constructive feedback, and recommend areas for growth and improvement. Knowledge Transfer: Share industry insights and examples to bridge the gap between academic learning and real-world applications. Key Measures Student Progress: Track and evaluate participant growth, ensuring they demonstrate competency in data science concepts and techniques. Industry Relevance: Maintain a curriculum that aligns with industry demands, emerging technologies, and data science best practices. Feedback Scores: Achieve high satisfaction and engagement ratings from participants for the quality of instruction and mentorship. Project Completion: Ensure students complete hands-on projects showcasing their ability to solve complex data problems. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field. Experience: Minimum of 15 years of professional experience in Data Science or related fields. Hands-on experience with Fortune 500 companies is preferred. Proven expertise in machine learning, data modelling, and statistical analysis. Technical Skills: Proficiency in Python , R , and SQL. Experience with machine learning frameworks such as TensorFlow , PyTorch , or Scikit-learn . Advanced knowledge of data visualization platforms like Tableau , Power BI , or Matplotlib/Seaborn . Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data tools like Spark and Hadoop. Soft Skills: Excellent communication and teaching skills. Ability to simplify and explain complex concepts to learners of varying expertise. A passion for mentoring and helping students achieve their career goals. Personal Attributes Enthusiastic about empowering the next generation of data scientists. Resilient and adaptable, with a focus on continuous learning and improvement. Collaborative and supportive mentor who fosters a positive and inclusive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working opportunities. Opportunity to shape future data scientists and impact their career success. Collaborative and forward-thinking work culture.

Delhi , India Designation: Partner Position: Data Engineering Instructor Mentor (Part-Time) Job Type: Consultant Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes. Reports to: Founder/CEO Job Overview The Data Engineering Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data engineering skills. This role involves conducting hands-on training sessions, developing course material, and offering personalised guidance to students to enhance their technical proficiency and career readiness. Key Responsibilities Training Delivery: Conduct weekend training sessions, focusing on data engineering tools, techniques, and best practices. Curriculum Development: Develop and maintain up-to-date course content aligned with current industry trends and requirements. Hands-On Learning: Facilitate hands-on projects, exercises, and case studies to give students practical experience in data engineering workflows. Mentorship: Provide personalized guidance to participants, addressing their questions and helping them master complex concepts. Industry Alignment: Ensure all training content reflects the latest advancements in data engineering technologies and methodologies. Assessment and Feedback: Monitor participant progress through assessments and provide constructive feedback to support their improvement. Knowledge Transfer: Share real-world insights and scenarios to bridge the gap between theory and practical application. Key Measures Student Progress: Track participant performance through assessments, aiming for high levels of skill acquisition. Industry Relevance: Maintain a curriculum that aligns with current data engineering tools, technologies, and practices. Feedback Scores: Achieve positive feedback ratings from participants for training quality and mentorship. Hands-On Projects: Ensure all students complete practical projects demonstrating their learning outcomes. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Experience: Minimum of 15 years of professional experience as a Data Engineer or in a related role. Must possess real time experience with Fortune 500 companies Proven track record in implementing data pipelines, data modelling, and ETL processes. Technical Skills: Proficiency in SQL , Python , and Scala . Expertise with big data frameworks (Hadoop, Spark, Kafka). Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of data storage solutions (data lakes, NoSQL, relational databases). Soft Skills: Strong communication and presentation skills. Ability to simplify complex concepts for diverse audiences. Passion for teaching and mentoring. Personal Attributes Passionate about knowledge-sharing and professional development. Resilient and adaptable, with a focus on continuous improvement. Collaborative leader who fosters an engaging and inclusive learning environment. Benefits Competitive compensation based on hourly or project-based engagement. Flexible remote working options. Opportunity to shape the next generation of data engineering professionals. Collaborative and innovative work culture.