Job Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate & Summary A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments. Brief: We are currently hiring a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Roles and Responsibilities: . Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. . Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. . Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. . Optimizing existing generative AI models for improved performance, scalability, and efficiency. . Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. . Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. . Contributing to the establishment of best practices and standards for generative AI development within the organization. . Providing technical mentorship and guidance to junior team members. Key Requirements: . You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. . You should have hands on coding experience, well-versed in prompt engineering. . You should be capable of optimizing the prompts . You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. . You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. . You have strong knowledge of data structures, algorithms, and software engineering principles. . You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. . You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. . You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. . You have knowledge of software development methodologies, such as Agile or Scrum. . You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. . You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. . You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Mandatory Skills: Python, Machine Learning, DataStructures, Implementation of generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Preferred Skills: Langchain/TensorFlow/Keras/PyTorch Years of Experience: 5 to 8 years Qualification: A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. Education Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications Required Skills Data Structures, Deep Learning, Growth Promotion Test, Machine Learning, Python (Programming Language) Optional Skills Desired Languages Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date

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