Leadership Applied AI {Custom Models}

  • Pune
  • Searce Inc

About Searce

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI, and analytics.

  • We are a category-defining niche’ cloud-native technology consulting company, specializing in modernizing (improving, automating & transforming) the full scope of infra, app, process & work.
  • We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries.
  • Our Service Offerings: Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services.
  • As one of the top 5 niches’ full-scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.


Location: Pune

Qualifications:

  • 10+ years of experience, majorly in delivering AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple industries.
  • 5+ years of people leadership and team building expertise.
  • In-depth knowledge of deep learning frameworks, such as TensorFlow, PyTorch, OpenCV, Scikit learn, etc. and other open source libraries/APIs or similar developed on Vertex AI/Sagemaker.
  • Proficiency in ML languages and packages (Python, R).
  • Understanding of engineering designs and ML pipelines (AWS, Kafka, Spark, Kubernetes, EC2, Redshift).
  • Knowledge of Google Suite helpful.
  • Exposure to Agile / Scrum methodologies.
  • Effective independent judgement and decision-making ability.
  • Able to analyse complex situations and recommend solutions.


Responsibilities:

  • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving project delivery excellence across the organisation.
  • Collaborate with stakeholders and project managers to turn business goals into technical solutions.
  • Define best AI/ML driven practices and AI lifecycle, keeping in mind the Responsible AI guidelines.
  • Coach and mentor the team as we build scalable data and machine learning solutions.
  • Ensure that the team is upskilled and undergoes certification as per the upcoming technology requirements, on a regular basis.