Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement
Define and drive the strategic roadmap for innovation initiatives and technical enablement
Foster a culture of experimentation, rapid iteration, and continuous learning
Incubation & Innovation
Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals
Oversee the development of proof-of-concepts (PoCs) and prototypes to validate new technologies and approaches
Collaborate with product, research, and business stakeholders to prioritize and refine ideas
Engineering Enablement
Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development
Establish best practices, coding standards, and reusable components for AI/ML engineering
Provide technical guidance and support to engineering teams adopting AI/ML technologies
Collaboration & Communication
Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer
Present technical concepts and project outcomes to executive leadership and stakeholders
Promote knowledge sharing through documentation, workshops, and internal communities of practice
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications - External
Required Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or a related field
10+ years of experience in software engineering with 3+ years in management
Experience in React, JavaScript, TypeScript, Node.js, React Native, Java, Python, and Spring Boot Frameworks
Experience in Data Management of RDBMS and NoSQL
Experience in building/managing CI/CD pipelines of Jenkins, Github Actions etc.
Proven experience in AI/ML technologies, including model development, deployment, and MLOps
Solid understanding of cloud platforms (e.g. Azure, GCP) with hands-on experience on AWS and Terraforms
Proven excellent communication, collaboration, and organizational skills
Preferred Qualifications:
Experience with LLMs, generative AI, or reinforcement learning
Experience with agile methodologies and startup-like environments
Familiarity with open-source AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
Knowledge of Machine Learning Algorithms: Supervised, unsupervised, reinforcement learning
Knowledge of Model Evaluation: Precision, recall, F1-score, ROC-AUC
Knowledge of Data Preprocessing: Feature engineering, normalization, handling missing data
Knowledge of Responsible AI: Fairness, explainability (XAI), bias mitigation
Knowledge of AutoML: Hyperparameter tuning, model selection automation
Knowledge of Federated Learning & Edge AI: For privacy-preserving and low-latency applications
Deep Learning: CNNs, RNNs, Transformers, GANs
Background in innovation labs, R&D, or technical incubation environments
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full time