Software Engineering Lead Analyst

Required Skills:

• Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras.
• Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
• Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks.
• Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform).
• Basic understanding of implementing Prompt Engineering, Finetuning and RAG.
• Strong foundation and practical experience in programming languages, especially Python, within the context of AI/ML workflows, crucial for transitioning from traditional software development processes to optimized and innovative solutions that enhance market agility.
• Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications.
• CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices.
• Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security.
• Cloud Services: Familiarity with cloud platforms like AWS / Google Cloud / Azure for deploying and managing applications and AI models.

Required Experience & Education:

• A Bachelor's degree in Computer Science or a related field is required.
• A minimum of 5 years of experience in Software Development, including 3 years of professional experience in AI and Machine Learning engineering.
• At least 3 years of experience in Agile methodologies is required.
• Familiarity with an onshore/offshore operational model is essential.
• Demonstrated experience in the architecture, design and development of large-scale enterprise application solutions is required.