AIML Manager
AIML Manager
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5years
4000000 - 4000000
1 Vacancy
Job Description
As a AI/ML Manager you would be developing AI powered companions such as Pricing Copilot Sales Copilot Customer Experience Copilot etc. The Sales Copilot for example will provides sales insights automate routine tasks and assists sales teams in making informed decisions ultimately improving the overall sales efficiency. Leveraging your expertise in data analytics digital transformation and AI technologies you will collaborate closely with clients to understand their unique challenges identify opportunities for improvement and design tailored solutions that deliver measurable value.
- AI/ML Consultants will be responsible to design develop and implement AIdriven business copilots that enhance the efficiency and effectiveness of organizations
- They will be involved in data preprocessing feature engineering model training and optimization of machine learning algorithms
- Additionally they will work on integrating AI copilots into existing systems analyze data to provide insights and collaborate with crossfunctional teams to understand and address business requirements
- AI/ML Consultants will work closely with clients to understand their requirements tailor solutions to their specific needs and provide technical guidance and support throughout the project lifecycle
- Drive continuous improvement initiatives proactively identifying areas for optimization and innovation to maximize client value.
- Share your expertise and best practices with colleagues mentoring them & contributing to the growth and development of the AuxoAI team.
Requirements
- 6 years of experience in consulting project management or a related role with a strong focus on the healthcare and/or CPG industries.
- Experience with natural language processing (NLP) and/or computer vision (CV) is a plus.
- Knowledge of containerization technologies (e.g. Docker Kubernetes) and microservices architecture.
- Contributions to opensource projects or publications in relevant conferences/journals.
- Familiarity with DevOps practices for continuous integration and deployment (CI/CD).
- Deep understanding of data analytics data strategy and digital transformation methodologies with handson experience in implementing datadriven solutions.
- Familiarity with AI technologies machine learning algorithms and natural language processing (NLP) techniques.
2+ years of experience implementing data management solutions Strong experience in Snowflake, AWS, and SQL. Experience in complex data transformation in DBT. Experienced with Snowflake DWH/ELT implementation, and Python/Java Scripts. Hands-on work on most common transformations like lookup, fuzzy, conditional splits, etc., checkpointing, logging, etc. Experience with data validation, data cleansing, and data reconciliation process
Employment Type
Full Time
