Company Overview: At Codvo, software and people transformations go hand-in-hand. We are a global empathy led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. About the Role:We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains.Responsibilities:
Technical Leadership & Strategy:
Define and communicate the technical vision and strategy for AI projects.
Lead the architectural design and implementation of complex AI systems.
Evaluate and recommend emerging AI technologies and methodologies.
Drive the adoption of best practices for AI development, deployment, and maintenance.
Contribute to the strategic planning of AI initiatives, aligning them with business goals.
Team Leadership & Mentorship:
Lead and mentor a team of AI engineers, providing technical guidance and support.
Foster a collaborative and innovative team environment.
Conduct code reviews and ensure code quality.
Identify and address skill gaps within the team.
Facilitate knowledge sharing and continuous learning.
AI System Development & Implementation:
Oversee the development and deployment of scalable and robust AI solutions.
Ensure the performance, reliability, and security of AI systems.
Drive the development of AI pipelines and infrastructure.
Lead the integration of AI models with existing systems and applications.
Troubleshoot and resolve complex technical issues.
Research & Innovation:
Stay abreast of the latest advancements in AI and machine learning.
Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI.
Drive research and development efforts to explore new AI technologies.
Evaluate and prototype new AI solutions.
Collaboration & Communication:
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Communicate complex technical concepts to both technical and non-technical audiences.
Provide technical presentations and demonstrations.
Document technical designs, code, and processes.
Required Skills and Qualifications:
Education: Batchelor’s or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience:
8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects.
Extensive experience in designing and implementing scalable AI systems.
Proven experience in leading and mentoring technical teams.
Deep understanding of machine learning and deep learning algorithms and architectures.
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
Technical Skills:
Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong understanding of AI infrastructure and deployment strategies.
Experience with MLOps best practices.
Experience with vector databases, and LLM implementations.
Proficiency in software development principles and best practices.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Soft Skills:
Exceptional leadership and communication skills.
Strong problem-solving and analytical skills.
Ability to think strategically and drive innovation.
Excellent interpersonal and collaboration skills.
Strong presentation skills.
Preferred Qualifications:
Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation).
Experience with natural language processing (NLP) or computer vision.
Contributions to open-source AI projects.
Experience with distributed systems and big data technologies.
