Modelling & Data Science Director at dentsu

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Expertise, Python, Machine Learning Algorithms, Deep Learning, Neural Networks, ML Frameworks, Data Pipeline Development, ETL Processes, Big Data Technologies, Database Systems, Cloud Platforms, MLOps, Containerization, Orchestration, Continuous Deployment

Industry

Advertising Services

Description

The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed. Job Description: Key Responsibilities Team Leadership & Management Lead and manage a team of 5-10 AI engineers, ML engineers, and data scientists Conduct performance reviews, provide mentoring, and support career development Foster a collaborative culture focused on innovation and continuous learning Manage team workload distribution and resource allocation Technical Leadership Design and develop AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction Provide technical guidance on AI architecture, model selection, and implementation strategies Review code, ensure best practices, and maintain high technical standards Drive technical decision-making for AI platform architecture and tooling Stay current with AI/ML trends and evaluate new technologies for adoption Project Management & Delivery Plan, execute, and deliver AI projects from conception to production deployment Coordinate cross-functional initiatives with product, engineering, and business teams Manage project timelines, budgets, and resource requirements Ensure AI solutions meet scalability, performance, and reliability standards Implement and maintain CI/CD pipelines for ML model deployment Strategic Planning & Innovation Develop AI engineering roadmaps aligned with business objectives Identify opportunities to leverage AI for business value and competitive advantage Establish engineering best practices, coding standards, and quality assurance processes Drive innovation initiatives and research into emerging AI technologies Contribute to AI strategy discussions with senior leadership Required Technical Skills AI/ML Expertise Python Strong background in machine learning algorithms, deep learning, and neural networks Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras Knowledge of computer vision, NLP, and statistical modeling techniques Data Engineering & Infrastructure Experience with data pipeline development and ETL processes Knowledge of big data technologies (Spark, Hadoop, Kafka) Understanding of database systems (SQL, NoSQL, vector databases) Data preprocessing, feature engineering, and data quality management Cloud & DevOps Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads MLOps tools and practices for model lifecycle management Containerization and orchestration (Docker, Kubernetes) Continuous Deployment (CD) Experience Requirements 8+ years of AI/ML engineering experience with hands-on model development and deployment 3+ years of team leadership or technical management experience Proven track record of delivering production AI systems at scale Experience managing the complete ML lifecycle from research to production Background in both individual contribution and team collaboration Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Can’t find a suitable job? Sign up for job alerts tailored to your interests and be first in line for new opportunities. About dentsu For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work

Responsibilities

Lead and manage a team of AI engineers and data scientists while overseeing the development and implementation of AI models and solutions. Coordinate cross-functional initiatives and ensure the delivery of AI projects from conception to production deployment.