7 Generative AI Jobs to Apply
The calendar flipped to 2024 and layoffs have once again began to cause large-scale anxieties. Duolingo, Paytm, Amazon, and Twitch have decided to hand over pink slips to many of their employees. While this trend is likely to grow, we decided to go against the grain and find you something good to cling on to. Here’s a list of a few lucrative jobs in generative AI. Principal AR in Generative AI, eBay The eBay advertising team is seeking a principal applied researcher in generative AI to contribute to the reinvention of ads at eBay. The team focuses on developing innovative ad-tech solutions to enhance ad monetisation and user experience on the platform. The role involves leading a team of researchers and engineers to apply generative AI in building advanced advertising products, with the ultimate goal of creating a valuable experience for both buyers and sellers, as well as driving performance for advertisers. In this remote role, the candidate should have a proven track record in applied ML research, a master’s degree in relevant fields, and over seven years of industry experience with strong expertise in generative AI, deep learning, and various related areas such as NLP, recommendation systems, and image understanding. Head of AI Data Operations, Krutrim Bhavish Aggarwal’s full stack AI solutions company Krutrim is currently seeking a head of AI data operations for a full-time position in Bangalore. For this role in Ola’s subsidiary, you will oversee all aspects of data annotation and operations for AI model training across text, image, video, and multimodal datasets. The responsibilities include managing data collection and curation activities, establishing operations for large-scale data collection within the Ola ecosystem, collaborating with engineering leaders, and managing relationships with external data vendors. The ideal candidate should have a strong operations background, extensive project management skills in AI and ML, and a passion for advancing generative AI with data. The minimum qualification for this position includes a bachelor’s degree in computer science, engineering, or a related field; an advanced degree in operations and management will be preferable. The candidate should have over 10 years of experience in technical data roles for AI, demonstrating a track record of impactful data products and pipelines. Machine Learning-Software Development Engineer, Accenture The ML-software development engineer position at Accenture in Bengaluru needs the candidate to have at least 10 years of experience and a bachelor’s degree in technology, engineering, or a quantitative field. The primary tasks include analysing, designing, coding, and testing various components of application code for one or more clients. The role emphasises the development and implementation of data-driven solutions using generative AI models, involving interactions with client stakeholders to understand AI problems, prioritise use-cases, and define problem statements. Technical experience requirements include the capacity to develop high-impact thought leadership, extensive use of data-driven techniques such as exploratory data analysis and data pre-processing, proficiency in Python programming for data manipulation, visualisation, and machine learning models, and familiarity with at least one cloud solution (IBM Cloud, Azure, GCP, or AWS). Tech Lead – Generative AI, Dentsu The position of tech head-generative AI at Dentsu in Pune involves developing and implementing advanced generative AI models, particularly focusing on text and image generation, and fine-tuning AI. The responsibilities include collaboration with cross-functional teams to understand client requirements, researching emerging trends in generative AI, and evaluating and fine-tuning models for optimal performance. The tech lead will also collaborate with data scientists and engineers to integrate AI solutions into existing systems, staying updated on AI advancements, and contributing to the company’s technical knowledge base. The perfect fit for this position should have a minimum of three years of experience in generative AI, a degree in computer science or related fields, a proven track record in implementing generative AI models, strong problem-solving skills, and effective communication abilities. Technical skills include Python programming, end-to-end understanding of backend workflows, familiarity with chatbots/dialogue flows, and knowledge of NoSQL and unstructured data, TensorFlow, PyTorch, or Keras, basic knowledge of machine learning algorithms, and hands-on experience with cloud platforms such as AWS and Azure for scalable model deployment. Generative AI & Cloud Solution Architect, EPAM Systems EPAM Systems is looking for an engineering lead with expertise in generative AI and cloud solutions who will spearhead generative AI initiatives for the tech conglomerate. The responsibilities include leading the development and execution of generative AI and LLM projects, ensuring they align with business goals. The candidate will design and deploy Proof of Concepts (POCs) and Points of View (POVs) across different industry verticals. Besides, the lead should be able to engage with customer CXOs and business unit heads to demonstrate the relevance and impact of generative AI applications. Requirements for the position include a minimum of 12 years of overall experience, with a strong background in AI/ML and expertise in working with major cloud platforms such as Azure, GCP, and AWS. Generative AI Analyst, Trust and Safety, Google The position demands a minimum of four years of experience using analytical tools like SQL and Python. Besides a bachelor’s degree, preferred qualifications include expertise in dealing with abuse, spam, fraud, or malware, as well as experience in product policy analysis and statistical analysis. The Trust & Safety team focuses on solving significant challenges affecting the safety of Google products, requiring global collaboration to identify and address abuse and fraud cases. The role involves developing and managing cross-functional relationships to enhance processes for resolving policy and quality issues in generative AI products. The chosen candidate will also establish metrics for generative AI issues, conduct data analyses, and drive project delivery with technical judgement. They will collaborate with various teams, enhance tools, improve workflows, and analyse escalations to identify product risks. Generative AI Engineer, Gramener Gramener is looking for generative AI engineers to design and implement advanced foundational models, contributing to the development of AI-driven solutions for high-quality content generation across various media types. Collaboration with cross-functional teams is crucial, requiring a deep understanding of machine learning, neural networks, and generative modelling techniques. Responsibilities include staying abreast with the latest advancements in generative AI, customising model architectures, preprocessing datasets, optimising model training, fine-tuning hyperparameters, and deploying models into production systems. The engineer must have a degree in computer science or a related field, proficiency in Python and relevant AI libraries, experience with generative modelling techniques, familiarity with cloud computing platforms, strong problem-solving skills, and effective communication abilities.
While layoffs are likely to continue, we decided to go against the grain and find you some lucrative jobs in generative AI.
Kutrim, eBay, Accenture, among others are expanding their generative AI workload by hiring.
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["AI", "machine learning", "ML", "deep learning", "neural network", "NLP", "generative AI", "TensorFlow", "PyTorch", "Keras"]
Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&amp;I, hiring in tech and more.