Modelling & Data Science Director

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job 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.Key ResponsibilitiesTeam Leadership & ManagementLead and manage a team of 5-10 AI engineers, ML engineers, and data scientistsConduct performance reviews, provide mentoring, and support career developmentFoster a collaborative culture focused on innovation and continuous learningManage team workload distribution and resource allocationTechnical LeadershipDesign and develop AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interactionProvide technical guidance on AI architecture, model selection, and implementation strategiesReview code, ensure best practices, and maintain high technical standardsDrive technical decision-making for AI platform architecture and toolingStay current with AI/ML trends and evaluate new technologies for adoptionProject Management & DeliveryPlan, execute, and deliver AI projects from conception to production deploymentCoordinate cross-functional initiatives with product, engineering, and business teamsManage project timelines, budgets, and resource requirementsEnsure AI solutions meet scalability, performance, and reliability standardsImplement and maintain CI/CD pipelines for ML model deploymentStrategic Planning & InnovationDevelop AI engineering roadmaps aligned with business objectivesIdentify opportunities to leverage AI for business value and competitive advantageEstablish engineering best practices, coding standards, and quality assurance processesDrive innovation initiatives and research into emerging AI technologiesContribute to AI strategy discussions with senior leadership

Required Technical Skills

AI/ML ExpertisePythonStrong background in machine learning algorithms, deep learning, and neural networksExperience with ML frameworks: TensorFlow, PyTorch, scikit-learn, KerasKnowledge of computer vision, NLP, and statistical modeling techniquesData Engineering & InfrastructureExperience with data pipeline development and ETL processesKnowledge of big data technologies (Spark, Hadoop, Kafka)Understanding of database systems (SQL, NoSQL, vector databases)Data preprocessing, feature engineering, and data quality managementCloud & DevOpsExperience with cloud platforms (AWS, Azure, GCP) for AI/ML workloadsMLOps tools and practices for model lifecycle managementContainerization and orchestration (Docker, Kubernetes)Continuous Deployment (CD)

Experience Requirements

8+ years of AI/ML engineering experience with hands-on model development and deployment3+ years of team leadership or technical management experienceProven track record of delivering production AI systems at scaleExperience managing the complete ML lifecycle from research to productionBackground in both individual contribution and team collaboration

Location:

Bengaluru

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent#DGS

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