
Growth Specialist Trainee - Open to MBA Graduates
Overview:
Coschool’s AI-powered learning platform embeds into the school system — enabling schools to transform student learning, ease the burden on teachers, and turn parents into learning partners. Coschool — the trusted AI partner for schools. With our AI-driven solution, schools can boost teacher efficiency and elevate student learning outcomes.
A structured 45-day program designed for energetic and motivated freshers who want to build a career in EdTech sales. You will learn the SchoolAI product, understand the principal-level demo flow, practice sales pitches, and gain real-time exposure to school leadership conversations before transitioning into a full-time Growth Specialist role driving school acquisitions, demos and product adoption.
As a Growth Specialist Trainee:
You Get:
- An intensive 4-week growth bootcamp with "AI as your trainer" to fast-track your learning.
- Mentorship and guidance to develop a strong foundation in product-led growth and user metrics.
- A dynamic startup culture with room to experiment, learn, and grow fast.
- A clear career pathway: 45 days Training → Probation → Regular Role with exciting long-term opportunities.
- Opportunity to work on global product.
- Team that leads and scale the SchoolAi Product.
- Successful completion of training boot camp and transition to onrolls.
Your Key Responsibilities:
- Complete all about Coschool & SchoolAI product modules on time and clear product assessments.
- Demonstrate strong understanding of product workflows for Principals, Teachers, Students, and Parents.
- Perform AI-led and peer role plays with clarity in pitch, demo flow, and objection handling.
- Develop your own pitch style and demo flow using key product messages, and deliver mock demos with clarity, creativity and strong communication as per evaluation standards.Shadow real demos and school interactions during the 15-day onsite phase.
- Maintain 100% attendance, punctuality, and timely completion of all tasks.
- Show professionalism, positive attitude, and coach ability throughout the program.
- Achieve benchmark scores required to qualify for the full-time Growth Specialist role.
- Progress to the 15-day onsite phase only upon successfully clearing the 30-day training and assessments.
Your Key Skills Requirement:
- Strong communication skills — clarity in interactions and confident in presentation.
- Street-smart, adaptable, and self-driven with a hunger to learn and grow.
- Willingness to work on the ground, analyze data, and suggest growth tactics based on evidence.
- Basic comfort with spreadsheets (Excel/Google Sheets) and understanding of users.
- Exposure to case studies, or any internships is a plus.
What We Need:
- Education: Final-year MBA (Marketing) student or a recently graduated MBA postgraduate (Marketing specialization preferred).
- Location: People Combine Office, Hyderabad.
Training Phase Criteria:
- The training begins with a 30-day assessment-based learning phase.
- Only candidates who successfully clear the 30-day assessments will move to the second phase.
- The 15-day in-office training phase is for candidates who qualify in the first phase.
- Candidates who do not clear the 30-day evaluation will not progress to the onsite training phase.

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Job Description
About the Role
We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.
This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.
Responsibilities
- Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
- Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
- Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
- Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
- Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
- Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
- Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
- Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
- Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
- Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.
Required Skills & Qualifications
- 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
- Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
- Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
- Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
- Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
- Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
- Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
- Experience with model evaluation, monitoring, and performance optimization in production environments.
- Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
- Proven ability to lead technical initiatives and mentor engineering teams.
Preferred Qualifications
- Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
- Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
- Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
- Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
- Experience designing enterprise-scale AI platforms or AI-powered products.
Responsibilities
- Lead and manage a talented Engineering Team of 8+ members.
- Provide technical guidance and mentorship to team members and assist them in their career progression. Set OKRs, progress checks and do performance evaluations.
- Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.
- Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.
- Perform Design reviews, Code reviews
- Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.
Requirements
- Masters or Bachelor's Degree in Computer Science, Engineering or equivalent.
- Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.
- Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.
- Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.
Desired Skills and Experience NET, C++, Golang, Java, JavaScript, Python, Quality Assurance, C#
In this role, you will have the opportunity to:
- Use domain knowledge along with research and analytical skills for market sizing, market landscaping, workflow analysis, pricing analysis in the IT industry for SAAS Products
- Analyzing data, developing reports and dashboards, and communicating insights to the business. The role will stretch across the breadth of our organization and have both global and region-specific coverage
- Excel based analysis linking multiple data points to identify impactful insights and trends in data
- Present research findings to key stakeholders over PPTs
- Data prep and QC as and when needed to ensure data accuracy
- Liaise with key senior business stakeholders to understand their business problems and propose analytical solutions.
- Blend technical analytics skills along with a strong domain/business understanding to help our marketing & commercial organizations take the right strategic decisions
- Build expertise on the market landscape in the context of the business, through individual learning and regular interactions with the team
- Supporting broader team programs, processes and simplification initiatives, as needed
The essential requirements of the job include:
- 2-5 years' experience in IT industry in Analytics; MBA would be an added advantage
- Demonstrated strong interpersonal & communication skills within a global environment (oral and written)
- Demonstrated experience in projects involving market sizing, market landscaping, workflow analysis and pricing analytics
- Comfortable handling big data in MS-Excel, creative in presentations, pulling together insights from a variety of sources with effective presentation and story boarding skills
- Problem solver accompanied by strong analytical and process skills, keen attention to detail, be highly organized and methodical
- Self-motivated, willingness to take the initiative to identify opportunities for improvement and take actions to improve
Hello,
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Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.
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JD
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