ASM-Board -East

We are seeking a dynamic and result-oriented Skill Development Sales Executive to promote and enroll candidates in skill development, training, and certification programs. The candidate will be responsible for generating leads, counseling prospective learners, achieving admission targets, and building relationships with educational institutions and corporate clients.

Key Responsibilities:

• Identify and generate leads through calls, emails, social media, and field visits.
• Promote skill development and training programs to students, job seekers, and working professionals.
• Counsel prospective candidates regarding courses, certifications, and career opportunities.
• Follow up on inquiries and convert leads into enrollments.
• Achieve monthly and quarterly admission/revenue targets.
• Maintain accurate records of leads and admissions in CRM systems.
• Conduct presentations, seminars, and awareness campaigns in colleges and organizations.
• Build and maintain relationships with educational institutions, NGOs, and corporate partners.
• Stay updated on industry trends, government skill development initiatives, and training programme:

About the Role:

We are looking for a creative and research-driven Content Writer who can craft compelling and insightful content across multiple formats — from research papers and blogs to B2B/B2C marketing copies and AI-driven storytelling. The ideal candidate should have a flair for writing engaging narratives that simplify complex topics while maintaining authenticity and brand voice.

Key Responsibilities:

• Research, draft, and edit high-quality content for blogs, research papers, articles, and case studies.
• Create B2B and B2C marketing content tailored to specific target audiences.
• Develop AI-related blogs and thought-leadership pieces exploring new trends in artificial intelligence, technology, and innovation.
• Write persuasive and creative copy for campaigns, landing pages, social media, and newsletters.
• Apply storytelling techniques to make technical or complex subjects engaging and easy to understand.
• Collaborate with marketing, design, and product teams to align content with brand goals and strategy.
• Ensure all content follows SEO best practices and maintains consistency in tone, voice, and style.
• Stay updated on industry trends, emerging AI tools, and digital content strategies.

Required Skills & Qualifications:

• Proven experience in content writing, copywriting, or technical writing (preferably in tech, AI, or SaaS domains).
• Strong command over English grammar, structure, and tone adaptability.
• Demonstrated ability to write both research-based and creative content.
• Familiarity with AI tools and content generation platforms.
• Understanding of SEO and keyword optimization.
• Excellent storytelling, analytical, and communication skills.
• Ability to manage multiple projects with attention to detail and deadlines.

Good to Have:

• Experience writing academic-style or whitepaper content.
• Exposure to AI/ML concepts, prompt engineering, or generative AI topics.
• Working knowledge of tools like Notion, Grammarly, Jasper, or SurferSEO.
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Perks & Benefits:

• Opportunity to work with an AI-first creative team.
• Flexible working environment.
• Access to premium writing and AI tools.
• Exposure to global tech and research-driven projects.

• Model Development and Deployment:
• Design, develop, and implement machine learning models for various applications (e.g., classification, regression, natural language processing, computer vision).
• Deploy and maintain machine learning models in production environments.
• Optimize model performance and efficiency through feature engineering, hyperparameter tuning, and model selection.
• Build and maintain scalable machine learning pipelines.
• Data Engineering and Management:
• Work with large datasets, including data cleaning, preprocessing, and feature extraction.
• Develop and maintain data pipelines for data ingestion, transformation, and storage.
• Ensure data quality and consistency.

About TechWeirdo:

Techweirdo delivers secure enterprise solutions from SaaS to On-Premise, anywhere, from Application to AI. We offer consultation, services and products to holistically address the digital transformation goals of the enterprises. 

Skills/ Role Requirements:

• Strong hands-on experience of Django REST framework
• Experience in working in a dockerized environment
• Implementation knowledge of scalable microservices architecture
• Experience in using celery
• Domain-driven design principles
• Strong SQL skills
• Ability to deploy a python backend on production in a dockerized environment with Nginx and Gunicorn
• Experience in integrating ML models in Django or Flask is a plus
• Experience with AWS services like S3, API gateway, SES, SQS, SNS, Aurora, Dynamo is plus
• Knowledge of lambda and cloudformation are plus
• Knowledge of React is plus

Working with TechWeirdo be like:

• Surrounded by curious learners: With a Growth Mindset as our core strength, we created a learning environment with curious tech learners.
• New challenges every day: There is no ordinary day at TechWeirdo, if you like solving problems, then this is the right place for you.
• Zero micro-management, limited supervision: We encourage our team to take on challenging tasks and solve complex problems by taking ownership of their tasks. We trust our team to take calculated risks.
• Great networking: You will be connected with c-suite executives of top organizations while working with our winning team.
• Building technology how you want, when you want: We welcome people who see things differently as they are the one who has ability to change the world.
• Being heard in every meeting: At TechWeirdo, suggestions are encouraged, initiatives are supported, and opinions and perspectives are valued.

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth. 

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities. 

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators. 

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions. 
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes. 

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner. 

Pre-requisites for the Role 

1. Job ID-EMBD0120PS 

1. Primary skill: GCP DATA ENGINEER, BIGQUERY, ETL 

1. Secondary skill: HADOOP, PYTHON, SPARK 

1. Years of Experience: 5-8Years  

1. Location: Remote 

Budget- Open  

NP- Immediate 

GCP DATA ENGINEER 

Position description 

• Designing and implementing software systems 

• Creating systems for collecting data and for processing that data 
• Using Extract Transform Load operations (the ETL process) 
• Creating data architectures that meet the requirements of the business 
• Researching new methods of obtaining valuable data and improving its quality 
• Creating structured data solutions using various programming languages and tools 

• Mining data from multiple areas to construct efficient business models 
• Collaborating with data analysts, data scientists, and other teams. 

Candidate profile 

• Bachelor’s or master’s degree in information systems/engineering, computer science and management or related. 
• 5-8 years professional experience as Big Data Engineer 

• Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis. 
• Experience with Big Data technologies (e.g., Databricks) 
• Ability to model and optimize workflows GCP. 
• Experience with Streaming Analytics services (e.g., Kafka, Grafana) 
• Analytical, innovative and solution-oriented mindset 

• Teamwork, strong communication and interpersonal skills 
• Rigor and organizational skills 
• Fluency in English (spoken and written). 

Responsibilities:

• Draft proposal portions such as introduction, overview, project approach, and cover letter
• Draft proposal template to hand off to subject matter expert and writing teams
• Develop and execute consistent company identity through document templates, letterhead, and logo usage
• Lead proposal team on RFP, RFQ, award submittals, and roster application responses
• Synthesize proposal materials into final client-ready package
• Maintain proposal milestones schedules like issue and review dates, kickoff meetings, and due dates.
• Engage in proposal sections coordination, final formatting, assembly, packaging, and delivery.
• Ensuring documents are secure and up to company standards
• Facilitating the proposal review process

What you will bring:

• Responsible for coordinating proposals
• Coordinate and maintain team documentation efforts for responses to RFPs
• Analyze requirements and ensure that proposals meet requirements
• Edit and rewrite proposals, including creating templates and boilerplate text
• Draft proposals and communicate across teams to get input and meet deadlines

Preferred Skills: 

We want to really emphasize Spring Boot (2+ years although 1+ if candidate particularly strong) Using Redis as a caching technology with Spring Boot would be a strong plus 

Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus 

Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel 

Strong Knowledge of Spring Boot Dependency Injection and Configuration 

Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.) 

SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps) 

Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc) 

Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot 

Nice to Have: 

Experience with Cassandra or MongoDB with Spring Boot 

Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances) 

Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)