Machine Learning (ML)Company Overview:
Euphoric Thought Technologies is a cutting-edge technology firm dedicated to solving complex spatial and computational challenges through advanced artificial intelligence. We operate at the intersection of geospatial intelligence and machine learning, building scalable platforms that process massive datasets to provide actionable insights. Our culture is rooted in engineering excellence, where we empower our teams to push the boundaries of Generative AI and deep learning to solve real-world problems for global enterprises.
Role Overview:
As a Technical Lead for AI/ML, you will spearhead the design and implementation of sophisticated machine learning models integrated with geospatial data architectures. You will work closely with cross-functional teams, including data scientists, cloud engineers, and product managers, to translate complex business requirements into high-performance AI solutions. Your work will directly influence the scalability and intelligence of our core platforms, ensuring that our technical infrastructure remains at the forefront of the industry while delivering measurable value to our clients.
Key Responsibilities:
- Architect and deploy end-to-end AI/ML pipelines that integrate seamlessly with GIS and geospatial data streams to enhance predictive accuracy.
- Lead the development and fine-tuning of Large Language Models (LLMs) and Generative AI applications to automate complex analytical workflows.
- Design robust CI/CD pipelines for machine learning models to ensure rapid, reliable, and automated deployment across cloud environments.
- Mentor junior engineers and foster a culture of technical rigor, code quality, and innovative problem-solving within the AI/ML team.
- Collaborate with stakeholders to define technical roadmaps, ensuring that AI initiatives align with long-term business objectives and scalability requirements.
- Optimize deep learning models using frameworks like TensorFlow and PyTorch to improve inference speed and resource efficiency in production.
Required Skillset:
- Demonstrate deep expertise in building and scaling AI/ML solutions, backed by 6 to 8 years of professional experience in the field.
- Possess advanced proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow, with a proven ability to architect complex models.
- Exhibit strong knowledge of GIS and geospatial data processing, with the ability to integrate spatial intelligence into machine learning workflows.
- Showcase a solid foundation in Cloud Architecture, specifically in designing and managing AI/ML infrastructure on major cloud platforms.
- Demonstrate mastery in DevOps practices, including the implementation of CI/CD pipelines for machine learning models to streamline production cycles.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, facilitating seamless cross-departmental collaboration.
- Adapt quickly to a distributed work environment, maintaining high levels of productivity and team engagement across multiple locations.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon