Leadership Applied AI Custom Models

1 week ago

Pune, Maharashtra, India Searce Inc Full time

About SearceSearce 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.

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