AI Tech Lead
Tech Lead - Realtime Data Ingestion & AI Platform At Aeris Communications, we're more than just an Io
T company; we're a hub of innovation and technology, driving transformative solutions across industries. Our recent expansion includes the strategic acquisition of Ericsson's Io
T businesses, further solidifying our leadership in the Io
T space. With a global presence spanning multiple continents, including major hubs in San Jose, Chicago, Helsinki, Noida, and our latest development center in Bucharest, Aeris is at the forefront of digital transformation. We are now looking for a Tech Lead to drive the evolution of our
- edge
- time data ingestion platform. This is a key role for someone with expertise in Google Cloud Platform (GCP), Python, and AI technologies, particularly in the areas of Embeddings, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). You will lead a talented team of developers to elevate our platform to the next level, enabling seamless integration of AI-driven insights into our data pipelines. Position Summary: We are seeking a Tech Lead with a strong background in GCP, Python, and AI/ML to join our dynamic team. The role will focus on advancing our
- time document and data ingestion platform, leveraging GCP services, AI models, and modern
- native technologies. Key Responsibilities:
- Lead Development: Drive the architectural design, development, and deployment of our
- time data ingestion platform using GCP services like Pub
Sub, Cloud Functions, Big
Query, and Vertex AI. - AI Integration: Implement and optimize AI/ML models, including LLMs and Embeddings, to enhance data processing, retrieval, and insight generation capabilities within the platform. - Team Leadership: Mentor and guide a team of developers, fostering a collaborative environment that encourages innovation and continuous learning. - End-to-End Ownership: Oversee the full development lifecycle, from ideation to deployment, ensuring scalability, reliability, and performance. - Cloud Optimization: Utilize GCP services to optimize platform efficiency, scalability, and
- effectiveness. - Automation: Develop automated processes for data ingestion, transformation, and storage, ensuring
- time processing and analytics. - Collaboration: Work closely with
- functional teams including data scientists, product managers, and Dev
Ops to align platform capabilities with business needs. - Innovation: Stay updated with the latest in AI, GCP, and cloud technologies, advocating for the adoption of tools and techniques that drive innovation and improve platform capabilities. - Quality Assurance: Ensure the highest level of quality in code, including unit testing, integration testing, and peer code reviews. Required Qualifications:
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field. - Experience: Minimum of 8 years of experience in software development, with at least 3 years in a leadership role. Technical Expertise:
- Proficiency in Python, with experience in AI/ML technologies, particularly in Embeddings, LLMs, and RAG. - Extensive experience with GCP services (Pub
Sub, Big
Query, Cloud Functions, Vertex AI, Cloud Storage, Cloud Run). - Strong understanding of
- native architectures, microservices, and containerization (Kubernetes, Docker). - Experience with
- time data processing and analytics. - Leadership: Proven ability to lead and mentor a team of developers, fostering a culture of innovation and excellence. - Agile Methodologies: Familiarity with Agile development methodologies, preferably SAFe. Preferred Skills:
- AI Expertise: Deep understanding of AI model deployment and optimization in cloud environments. - Cloud Build & CI/CD: Experience with Cloud Build, CI/CD pipelines, and automated testing. - Data Engineering: Knowledge of data engineering best practices, including ETL processes and data warehousing. - Telecom/Io
T Experience: Prior experience in the telecommunications or Io
T industry is a plus. - Cross-Platform Skills: Familiarity with additional cloud platforms (AWS, Azure) and
- cloud strategies. - Java knowledge. We Offer:
- Innovation-Driven Environment: An opportunity to work at the intersection of AI, cloud technology, and Io
T. - Career Growth: Continuous learning and career development opportunities in a
- tech, progressive company. - Global Impact: Play a key role in a rapidly growing field with a worldwide footprint. - Competitive Compensation: A comprehensive package that reflects your skills and experience. - Premium Workspace: Modern, collaborative office spaces designed to inspire creativity. Join us at Aeris, where your expertise will contribute to groundbreaking advancements in
- time data ingestion and AI, shaping the digital future of industries globally. Powered by Jazz
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