Location: Hyderabad, India Organisation: South Australian College of English (SACE) - Hyderabad Franchise Position Overview: The Senior Student Counsellor will play a pivotal role in guiding prospective and current students through their learning and career pathways at SACE Hyderabad. The role involves providing expert counselling for IELTS, PTE, and English language programs, supporting students with admissions, and fostering positive relationships to enhance enrolment growth. The successful candidate will combine strong interpersonal skills with a deep understanding of international education pathways, ensuring students achieve their academic and migration goals while upholding the high standards of the SACE brand. Key Responsibilities: Student Counselling & Admissions: • Provide one-on-one and group counselling sessions to prospective students regarding IELTS, PTE, and English programs. • Guide students on course selection based on their academic, professional, and migration objectives. • Assist students with registration, documentation, and orientation processes. • Counsel students on study abroad opportunities, pathways, and eligibility requirements in coordination with SACE HQ. Enrolment & Conversion: • Convert student inquiries into confirmed enrolments through effective counselling and follow-up. • Maintain a robust pipeline of prospective students through timely communication (phone, email, in-person, digital platforms). • Ensure enrolment targets are consistently achieved and reported. • Track and update student inquiries, follow-ups, and admissions in the CRM/Student Management System. Liaison & Coordination: • Work closely with the Centre Manager, academic team, and marketing staff to deliver a seamless student experience. • Liaise with education agents, schools, colleges, and universities to generate referrals and build strong networks. • Coordinate mock test schedules, workshops, and student information sessions. Student Support & Retention: • Provide ongoing support to enrolled students, addressing academic and personal concerns. • Monitor student progress and collaborate with trainers to ensure positive outcomes. • Organise orientation programs, parent sessions, and academic counselling initiatives. • Ensure high levels of student satisfaction and retention through proactive engagement. Compliance & Reporting: • Ensure adherence to SACE policies, academic standards, and franchise compliance requirements. • Maintain accurate student records, reports, and documentation. • Prepare regular reports on admissions, student progress, and counselling activities for management review. Qualifications & Experience: • Bachelor’s degree in Education, Psychology, Business, or a related field (Master’s preferred). • Minimum 4–6 years of experience in student counselling within the IELTS/PTE, English coaching, or international education sector. • Strong knowledge of IELTS and PTE exam formats and study abroad pathways. • Proven track record of achieving enrolment and conversion targets. • Experience working with education franchises or international institutes is highly desirable. Skills & Competencies: • Excellent communication, presentation, and interpersonal skills. • Strong counselling and persuasion abilities. • Customer-focused with empathy and cultural sensitivity. • Ability to multitask and manage high volumes of inquiries. • Proficiency in MS Office and student management/CRM systems. • Self-motivated with a results-oriented mindset. Remuneration: Competitive salary with performance-based incentives. About SACE Hyderabad Franchise: The South Australian College of English (SACE) is an internationally recognised leader in English language education. Through its Hyderabad franchise, SACE is committed to offering world-class IELTS, PTE, and English programs to students in India, equipping them with the skills and qualifications needed to succeed globally.
Position: Python Developer (AI/LLM Focus) Experience: 3 - 10 years Location: Hyderabad Employment Type: Full-time About the Role: We are seeking highly skilled Python Developers with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs). The ideal candidates will have hands-on experience in building, fine-tuning, and deploying AI-driven applications, along with a solid foundation in Python development practices. Depending on experience, you will contribute as an individual developer, technical lead, or mentor within the AI engineering team. Key Responsibilities: • Design, develop, and optimize Python-based applications with a focus on AI/ML/LLM integration. • Work with frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, RAG pipelines, etc. • Fine-tune and deploy LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for enterprise use cases. • Develop scalable APIs and microservices to integrate AI/LLM models with enterprise systems. • Implement data preprocessing pipelines, embeddings, and vector database integrations (e.g., Pinecone, Weaviate, FAISS, Milvus). • Collaborate with data scientists and AI researchers to translate models into production-ready solutions. • Ensure compliance with AI ethics, security, and data privacy (GDPR/ISO standards). • Optimize model performance for latency, scalability, and cost efficiency across cloud and on-prem deployments. • Document solutions and provide mentorship/support to junior developers. Required Skills & Experience: • 3-10 years of professional Python development experience. • Strong understanding of AI/ML concepts, NLP, and deep learning frameworks. • Hands-on experience with LLMs (fine-tuning, prompt engineering, RAG, instruction-tuning). • Familiarity with distributed computing, GPU acceleration (CUDA), and model optimization. • Proficiency in RESTful APIs, FastAPI, Flask, or Django. • Strong background in data structures, algorithms, and software engineering best practices. • Exposure to cloud platforms (AWS, Azure, GCP) for AI/ML workloads. • Experience with MLOps pipelines (CI/CD, MLflow, Kubeflow, Docker, Kubernetes). • Knowledge of vector databases, embeddings, and semantic search. Nice-to-Have: • Prior experience working with enterprise AI platforms. • Contributions to open-source AI/LLM projects. • Experience with RLHF (Reinforcement Learning with Human Feedback). • Knowledge of multi-modal AI (text, image, audio). • Familiarity with secrets management (HashiCorp Vault), security hardening, and compliance frameworks. Soft Skills: • Strong problem-solving and analytical skills. • Excellent communication and teamwork abilities. • Passion for innovation and continuous learning in AI/ML. • Ability to mentor and guide junior developers. Education: • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. • Equivalent industry experience will also be considered. Career Growth Path: • 3-5 years experience: Individual contributor working on AI-driven applications and integrations. • 5-7 years experience: Senior Developer leading projects, mentoring juniors, and driving AI solution design. • 7-10 years experience: Technical Lead/Architect managing end-to-end AI solutioning, model lifecycle management, and enterprise AI strategy.