As a Sr. Consultant, Engagement Manager at Hakkoda, you will manage client relationships, drive project success, and oversee project execution while mentoring a team of consultants. You will leverage your technical and leadership skills in a collaborative consulting environment, focusing on long-term client partnerships.

The Consulting Account Executive will develop and execute sales strategies for data consulting services, manage client relationships, and drive business growth in the TOLA region.

The Consulting Account Executive will develop and execute sales strategies for consulting services, fostering relationships with clients and technology partners, while managing the sales pipeline.

As a Consulting Account Executive, you will lead sales strategies for consulting services, manage client relationships, and grow revenue through new opportunities in data and analytics.

Lead client engagements, manage technical projects, facilitate Agile processes, and foster team collaboration while driving continuous improvement.

As a Senior Business Value Optimization Consultant, you'll lead supply chain initiatives, analyze current processes, and develop business cases for digital transformation, collaborating with various stakeholders to drive measurable business impact.

This role involves developing and deploying machine learning models for long-range forecasting using PySpark and Databricks, optimizing data pipelines, and ensuring operational efficiency within production environments.

Lead the design, development, and deployment of an Intelligent Forecast Application using advanced forecasting methodologies and machine learning techniques for an automotive OEM, while mentoring junior staff and collaborating with cross-functional teams.

The role involves building data warehouses in cloud environments, supporting analytics, and collaborating with teams to optimize data infrastructure for clients.

The Sr. Consultant, Data Engineer will design and develop data warehouses, lead technical teams, and optimize data systems within cloud environments.

The AWS Data Lake Architect will design, implement, and optimize Data Lake environments on AWS, ensuring scalability, security, and best practices while collaborating with clients and teams.

As AWS Lead Data Engineer, you'll design complex Data Lake architectures, lead a team, and optimize AWS services for data solutions.

The Senior AI Engineer will develop and deploy AI solutions, primarily LLMs and RAG pipelines, collaborating with clients and leading projects.

The MLOps and DevOps Engineer will support application and ML model deployment in AWS, build CI/CD pipelines, manage infrastructure, and collaborate with ML teams to operationalize models.