Assistant Professor

Post / Job Title: Assistant Professor

Job Type: Full Time

No. of Positions : 3

Department : Academic

Location: Bangalore

Role Overview: The incumbent will play a pivotal role in shaping and delivering high-quality, industry-aligned educational content for our online courses and programmes. The role will include curriculum development, teaching, assessment, and ensuring the overall quality of programme delivery. Faculty members will also manage a large pool of guest/adjunct faculty and teaching assistants, ensuring consistency and excellence in course execution.

Principal Accountabilities & Responsibilities

• Assist in the development of industry-aligned curricula under the guidance of senior faculty or programme directors.
• Teach and facilitate courses, focusing on delivering engaging learning experiences such as project-based learning.
• Grade assignments and assessments, providing timely feedback to students.
• Participate in guest/adjunct faculty coordination, helping ensure programme quality in collaboration with senior faculty.
• Collaborate with peers to improve courses and engage in departmental activities as appropriate.
• Stay up-to-date with developments and trends in relevant industries to ensure that courses reflect the most current practices, technologies, and skills.

Skill and Ability Requirements

Expertise in at least one of the following domain areas:

Data Science, Machine Learning, Deep Learning, NLP, MLOps

• Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of MLOps principles, including CI/CD for ML models, and model monitoring.
• Familiarity with MLOps and ML workflow orchestration tools.
• Experience using cloud-based AI services (AWS Sagemaker, Azure ML) would be an added advantage.

LLMs, GenAI, Agentic AI, MLOps

• Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience in developing LLM, GenAI or Agentic AI applications.
• Solid understanding of MLOps principles, including CI/CD for ML models, and model monitoring.
• Familiarity with MLOps and ML workflow orchestration tools.
• Knowledge of learning in LLMs, LLM distillation, Multiagent LLM, Multimodal LLMs, Reasoning in LLMs would be an added advantage.

Cloud computing, DevOps

• Experience using Docker and Kubernetes.
• Application deployment on the cloud, cloud deployment models.
• Experience in containerization and microservices (using YAML manifests for deployment and service objects).
• Scripting and automating cloud API interactions would be an added advantage.

SW Application Development, Cloud Native Application Development, DevOps

• Strong programming skills in Python, full stack application development, microservices DevOps tools and pipeline.

Key Competencies

• Ability to quickly adapt teaching methods and content to meet evolving industry standards and learner needs.
• Strong interpersonal skills with an ability to work across diverse teams, including guest/adjunct faculty and administrative staff.
• Passion for student success and a commitment to providing high-quality education to diverse learners.
• Capacity to identify challenges in programme delivery and student outcomes and propose innovative solutions.
• Excellent verbal and written communication skills, with the ability to engage and motivate students in an online setting.

Qualification & Experience

Qualification

Required Qualifications

• Technical expertise in at least one of the following areas: data science, machine learning, GenAI, NLP, deep learning, AI lifecycle, MLOps, AI governance, cyber security, cloud computing, DevOps, intelligence user interfaces, software application development
• Masters or Ph.D. degree in Computer Science/Data Science/allied fields from a reputed institution.
• Comfortable with the use of online tools and/or learning platforms.

Experience

• Minimum 3 years of work experience, preferably in the IT industry.
• Experience in project management or managing teams.
• Active engagement with professional associations or networks in the relevant field.
• Previous experience in a programme management or faculty coordination role.