Career pathways

Career pathways

The MS in AI program empowers students with the skills and experience to design, build, and deploy AI systems in real-world business contexts. Moving beyond theoretical knowledge to practical application, graduates are prepared to pursue impactful careers in technology and innovation in a world shaped by AI. 

  1. Develop AI solutions for real-world challenges. 
  2. Translate business needs into AI strategies. 
  3. Build and deploy scalable AI systems.

Through the Office of Corporate Partnerships and Careers (CPC), students in the MS in AI program gain access to a vast network of marquee companies and benefit from long-term, value-driven industry partnerships that support strong career outcomes and professional growth.

Career pathways

Next-gen AI roles

Program elements that prepare students for AI careers

AI/ML engineer

Graduates are equipped to design and deploy advanced machine learning models, working with real datasets and industry-grade tools. With expertise in core AI fundamentals, data structures, and productionizing ML models on the cloud, they are prepared to build scalable, high-performance AI solutions.

Data scientist

The program develops strong analytical and statistical skills to extract insights from complex data. Students learn to combine deep technical knowledge with business understanding, enabling them to craft data-driven strategies and drive impactful decisions across industries.

MLOps engineer

With training in cloud engineering practices and end-to-end ML pipeline management, students can streamline the deployment, monitoring, and scaling of AI models. They gain hands-on experience in productionizing ML and ensuring robust, reliable AI operations.

Applied AI researcher

Faculty-led research opportunities and exposure to the latest AI advances prepare students to pursue cutting-edge research. Graduates are equipped to contribute to academic and applied research, advancing the frontiers of AI and related technologies.

AI business analyst

Combining strong foundations in AI with topics in business innovation and AI strategy, graduates learn to translate complex data insights into actionable business recommendations. They are equipped to identify opportunities where AI can drive measurable value and support strategic decision-making across industries.

Generative AI engineer/specialist

With dedicated coursework in Generative AI and Large Language Models, students gain hands-on experience in designing, fine-tuning, and deploying next-generation AI systems. They are trained to create innovative applications of LLMs and generative models across sectors such as healthcare, finance, and digital services.

Data engineer

Through rigorous training in data structures, database concepts, and cloud-based ML engineering, graduates are prepared to design, build, and optimize large-scale data pipelines. They learn to manage complex datasets and enable seamless data flow for advanced AI and analytics applications.

AI product manager

Business innovation courses and AI strategy modules prepare graduates to lead cross-functional teams and define AI product roadmaps. They learn to bridge technical expertise with strategic vision, turning cutting-edge technology into market-ready solutions.

AI consultant

The curriculum builds both technical depth and strategic perspective, enabling graduates to advise organizations on AI adoption and transformation. With project management skills and industry mentorship, they can work with businesses in implementing effective AI-driven strategies.

About TLF

About TLF

The Tech Leaders Fellowship (TLF) was a one-year, full-time postgraduate diploma in AI, machine learning, and leadership, designed to nurture the next generation of technology leaders. After successfully graduating five cohorts and building a vibrant community of innovators, entrepreneurs, and changemakers, the fellowship has now evolved into the MS in AI program.

With a network of 200+ alumni thriving as data scientists, machine learning engineers, product analysts, and data analysts, the program has established a proven track record of recruitment by leading organizations that continue to recognize and value Plaksha talent.

About TLF

What our students say

Hear from our students about their experiences in the program

Connect with us:
Phone: +91 73035 80961
Email: msai@plaksha.edu.in
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