Technology Manager - AI Product

Job title – Technology Manager – AI Product 

Full time at our Nariman Point, Mumbai office 

Number of vacancies - 2 

Experience requirements – 

Minimum 0 to 7 years of experience in AI product development, software engineering, machine learning, deep learning, or AI systems. 

Qualifications – 

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 

Strong programming skills in Python; familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn. 

Experience with building and deploying models in production environments (Docker, Kubernetes, AWS/GCP/Azure). 

Strong understanding of algorithms, data structures, and ML concepts. 

Excellent communication and problem-solving skills. 

Nice-to-Have: 

Experience with NLP, computer vision, or reinforcement learning. 

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow). 

Startup or product-based experience 

Familiarity with platforms like HubSpot, OneDrive, Box, is preferable. 

Reach Education Pvt. Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA'2010) and CMU (Tepper'2003) alum Vibha Kagzi and focus on the higher education space in India. ReachIvy (www.reachivy.com) is focused on counselling students targeting top-tier schools internationally.  

Job description – 

We are looking for a skilled AI/ML Architect or Engineer to lead the design, development, and deployment of machine learning models and AI-driven features. This role involves working closely with product teams, data scientists, and software engineers to bring intelligent capabilities to our core products. 

Key Responsibilities 

Design & Architecture: Develop the end-to-end architecture of AI/ML systems, including model training, testing, deployment, and monitoring pipelines. 

Model Development: Build and refine machine learning models for tasks such as recommendation systems, NLP, computer vision, predictive analytics, etc. 

Data Engineering: Collaborate with data engineers to build data pipelines, define data schema, and ensure high-quality datasets. 

Integration: Work with software engineers to integrate models into the production environment with performance and scalability in mind. 

Research & Innovation: Stay updated with state-of-the-art techniques and bring innovation to the AI roadmap. 

Mentorship: Guide junior engineers and promote best practices for model development and MLOps. 

As a full time, member of the organisation, you enjoy the following perks - 

You will be interacting with very high-quality individuals in the education space 

You have access to personal networks of our team members i.e. Harvard Business School, Carnegie Mellon, Columbia University - faculty and alumni 

As an equal member of the team, you shape the foundation and vision of the company 

You can attend events organized by Harvard Club, Asia Society, FICCI and others since the Founder is a member at these organizations 

We do not just exist in the virtual space, we change lives! 

Compensation – 

Will be determined on a case-by-case basis depending on the individual's skill set and experience. Potential for revenue share. Can also be converted to a field study for course credit. We are very flexible!