Job Description

Post / Job Title: Assistant Professor

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Job Type: Full Time

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No. of Positions : 4

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Department : Academic

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Location: Bangalore

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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.

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Principal Accountabilities & Responsibilities

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

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Expertise in at least one of the following domain areas:

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

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

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

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

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- Strong programming skills in Python,



full stack application development, microservices DevOps tools and pipeline.
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Key Competencies

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

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Qualification

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Required Qualifications

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- 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
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- Master's or Ph.D. degree in Computer Science/Data Science/allied fields from a reputed institution.
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- Comfortable with the use of online tools and/or learning platforms.
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Experience

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- Minimum 3 years of work experience, preferably in the IT industry.
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- Experience in project management or managing teams.
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- Active engagement with professional associations or networks in the relevant field.
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- Previous experience in a programme management or faculty coordination role.
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📌 Assistant Professor (Bengaluru)
🏢 Birla Institute of Technology & Science, Pilani
📍 Bengaluru