Manager - AI Consulting
We are looking for a seasoned AI consultant to join our team.
In this role, you will leverage your expertise in data science to develop impactful solutions that solve complex business challenges. You will collaborate with clients and internal teams to craft strategies that maximize the value of data insights. This position requires strong leadership skills, a creative approach to problem-solving, and the ability to translate business needs into actionable data solutions. Additionally, you will guide teams and drive the adoption of cutting-edge technologies to deliver excellence.
Responsibilities
- Lead the development and implementation of data science solutions tailored to business needs
- Work collaboratively with stakeholders to identify opportunities for data-driven strategies
- Build and refine machine learning models to improve workflows and business outcomes
- Design and maintain analytics frameworks that support informed decision-making
- Ensure data science systems are scalable, reliable, and adaptable to various environments
- Provide mentorship and technical guidance to data science teams to foster growth and expertise
- Analyze data to uncover trends, patterns, and critical insights for actionable recommendations
- Present results and solutions effectively to both technical and non-technical audiences
- Stay current with advancements in artificial intelligence, machine learning, and data science technologies
- Drive innovation by introducing new techniques and tools to enhance workflows and solutions
Requirements
- At least 10 years of experience in IT, with a focus on data science and analytics
- Minimum of 5 years in senior leadership roles, such as Manager, Architect, or Lead, within Agile or hybrid environments
- Proven experience managing teams of 40 or more, ensuring productivity and alignment with project objectives
- Participated in at least 8 full project lifecycles or successfully launched 2 or more products or significant features to market
- Expertise in data engineering, including data preparation, modeling, and visualization for business applications
- Strong understanding of machine learning methodologies, including supervised and unsupervised approaches, and their implementation
- Demonstrated ability to create AI and ML strategies to address complex business problems
- Advanced knowledge of Python for data analysis, manipulation, and machine learning workflows
- Practical experience with PyTorch for building and deploying deep learning models
- Familiarity with TensorFlow for scalable machine learning development and deployment
- Solid experience with cloud platforms such as AWS, Azure, or GCP for managing and deploying data science solutions
- Exceptional English communication skills, with the ability to articulate technical concepts clearly and effectively
Nice to have
- Certifications in data science, machine learning, or cloud technologies to showcase expertise
- Experience integrating data science solutions with enterprise systems to enhance operational efficiency
- Knowledge of advanced visualization techniques or tools to effectively communicate insights to stakeholders
