Senior AI Engineering Director

1 week ago


Mumbai, Maharashtra, India Verdantis Full time
Role Overview

We are seeking an exceptional Senior AI Engineering Director to lead our cutting-edge engineering team. This role demands a visionary leader with deep expertise in core Java technologies and a strong passion for leveraging artificial intelligence (AI) to drive impactful solutions.

About Verdantis

We offer a collaborative and inclusive work environment that values innovation and continuous learning. Our team is passionate about shaping the future of AI and delivering high-quality applications that meet our clients' needs.

Responsibilities

Technical Leadership:

  • Lead and mentor a high-performing team of engineers, fostering a collaborative and innovative environment.
  • Define and enforce technical standards, architecture, and best practices.
  • Drive end-to-end ownership of technical solutions, ensuring scalability, reliability, and security.
  • Act as a liaison between technical teams and stakeholders, translating business needs into actionable technical requirements.

AI Development:

  • Design and implement advanced AI models and algorithms to solve complex business challenges.
  • Integrate AI/ML techniques such as deep learning, NLP, and predictive analytics into scalable applications.
  • Work closely with data scientists to create robust pipelines for data collection, preprocessing, and analysis.
  • Explore and prototype emerging AI trends and technologies to maintain a competitive edge.

Java Development:

  • Architect, develop, and maintain high-performance Java-based applications.
  • Leverage advanced Java frameworks and tools, including J2EE, Spring Boot, Hibernate, and Apache Kafka.
  • Implement RESTful APIs and microservices-based architectures.
  • Optimize Java applications for performance and reliability in distributed systems.
  • Deploy and manage applications on cloud platforms (AWS, GCP, Azure), including the use of serverless computing and container orchestration tools like Kubernetes and Docker.

Project Management:

  • Oversee the software development lifecycle, ensuring timely delivery of projects within scope and budget.
  • Collaborate with cross-functional teams (product managers, designers, QA, DevOps) to ensure seamless execution.
  • Establish and monitor KPIs for project success and team performance.
Qualifications

Required Skills:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • 8+ years of software development experience with an emphasis on core Java technologies.
  • Proven experience leading technical teams and delivering complex, scalable solutions.
  • Expertise in object-oriented programming, concurrency, and design patterns.
  • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and techniques (supervised/unsupervised learning, reinforcement learning).
  • Strong knowledge of cloud computing platforms (AWS, GCP, Azure) and modern deployment strategies.
  • Experience with containerization technologies (Docker, Kubernetes) and serverless architecture.

Estimated Salary: $180,000 - $220,000 per year



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