Posted:12 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Project Role :

AI / ML Engineer

Project Role Description :

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills :

Data Science

Good to have skills :

NA

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationSummary: As the Senior Lead for the AI Acceleration Hub team, spearhead the strategic build-up and growth of a 50-member team, aimed at delivering high-impact AI products. Responsible for bridging cultural, operational, and strategic gaps while safeguarding successful project execution and driving business outcomes. Start-up mindset will be instrumental in empowering the team to scale and deliver results that align with organizational goals. Roles & Responsibilities:
  • Drive the development of the AI acceleration hub team, aligning its AI product-delivery with organizational objectives.
  • Foster an entrepreneurial culture that embraces innovation, agility, and responsiveness to changing business needs.
  • Lead the recruitment, training, and development of a diverse team of Data/ML engineers and software developers.
  • Set clear objectives and performance metrics for the team, ensuring alignment with business outcomes.
  • Facilitate effective communication and understanding between the Indian and Swiss teams by addressing cultural differences and promoting a win-win momentum.
  • Oversee the planning, execution, and delivery of AI projects, ensuring they meet quality, timeline, and budgetary requirements.
  • Implement best practices for project management to ensure transparency, accountability, and continuous improvement.
  • Encourage innovative approaches to problem-solving within the team, keeping abreast of the latest AI trends and technologies. Professional & Technical Skills:
  • Extensive experience in leading AI or tech teams, preferably in a cross-cultural environment.
  • 18 yrs or more of professional experience in the realm of data processing and technology.
  • Extensive experience in data modelling, data engineering, process automation and creation of self-services.
  • Vision to leverage GenAI for data operations and automations, coupled with knowledge of cloud ecosystem (preferably AWS).
  • Proficiency in programming languages such as Python, R, or Java, with a strong understanding of scripting and automation.

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