You will work cross-functionally with product, engineering, and customer-facing teams to deliver technically sound, production-grade AI systems. This role is ideal for someone who thrives in fast-moving environments, loves solving ambiguous problems end-to-end, and is passionate about pushing the boundaries of modern AI.

Key Responsibilities

• Design, develop, and deploy Generative AI models and pipelines for computer vision tasks (e.g., image/video generation, diffusion models, VLMs, image retrieval, scene understanding).
• Build and optimize large-scale ML training workflows including data pipelines, augmentation strategies, evaluation tooling, and model optimization.
• Fine-tune and adapt vision, multimodal, or foundation models
• Develop scalable inference systems for real-time or high-throughput computer vision applications.
• Collaborate with product, solutions, and engineering teams to translate ambiguous customer requirements into robust technical solutions.
• Conduct rapid prototyping for proof-of-concept and customer demos; iterate quickly with an eye for production implementations.
• Own the end-to-end lifecycle of GenAI/CV features: ideation, architecture, implementation, evaluation, deployment, and monitoring.
• Stay current with cutting-edge research in generative modeling, representation learning, and multimodal systems; evaluate adoption into the roadmap.
• Provide mentorship and technical leadership to junior ML engineers and cross-functional contributors.

Required Qualifications

• 5–8+ years of industry experience in machine learning, with specialization in computer vision.

• Strong expertise with Generative AI techniques, such as:

• Diffusion models

• GANs

• Vision Transformers

• Multimodal (vision-language) architectures

• Hands-on experience with fine-tuning and training large vision or multimodal models using PyTorch, JAX, or TensorFlow.

• Advanced skills in Python, ML frameworks (PyTorch preferred), and modern model training toolchains (e.g., Ray, Lightning, DeepSpeed, HuggingFace).

• Proven experience building and shipping production ML/CV systems at scale.

• Strong understanding of:

• Computer vision algorithms

• Representation learning

• Training optimization

• Retrieval/embedding systems

• Data curation and labeling strategies

• Experience working in customer-facing or solution-oriented environments (e.g., consulting, forward-deployed engineering, technical pre-sales, applied research).

• Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience deploying CV/GenAI workloads on cloud platforms (AWS/Azure/GCP) or edge devices.
• Familiarity with MLOps practices, including monitoring, evaluation, CI/CD for ML, and model governance.
• Background in applied research, publications, or contributions to open-source projects in AI/ML.
• Experience optimizing models for latency, throughput, or resource-constrained environments (quantization, distillation, pruning).

Why Join Nexxa.AI ?

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.
• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.
• Professional Growth: Benefit from significant opportunities for career development and advancement.
• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.

If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.