The realm of Generative AI Jobs has orchestrated a profound transformation in our daily work routines. From composing emails to crafting verses, the likes of Bard and ChatGPT, both grounded in LLM technology, are simplifying existence, one request at a time. Yet, the effectiveness of these Generative AI models hinges on their training, hence tech conglomerates are actively on the lookout to refine existing models and nurture nascent ones. Generative AI transcends its role as a technological marvel; it stands as a catalyst for job creation spanning diverse sectors.
Now, let us delve into the prime career prospects within this domain.
Apply – Machine Learning Engineer (Generative AI Jobs)
Following the revelation of AppleGPT, the tech giant swiftly commenced the search for a fervent and resolute Machine Learning Engineer to augment their Cloud Technologies App Platform division in Hyderabad. The position encompasses formulating and implementing a machine learning strategy aimed at enhancing the developer experience platform and expediting app development within the Apple ecosystem. The ideal candidate must possess a profound grasp of advanced machine learning algorithms, deep learning, and statistical acumen, coupled with expertise in transformer models such as BERT, GPT, and RoBERTa. They will fine-tune and optimize extensive language models, wield adeptness in software development (Python, PyTorch, TensorFlow, JAX), and establish MLOps infrastructure for experimentation, A/B testing, and production deployment.
Valued attributes include familiarity with MLOps technologies, mastery of LangChain pipelines, and the capability to convey intricate ML insights to a non-technical audience. This role aspires to bolster Apple’s generative AI-powered developer platform, fostering collaborations with data scientists and software engineers to offer ML solutions for internal use, with a particular emphasis on refining the developer experience. The quintessential candidate should boast no less than 5 years of experience in the AI/ML-focused software industry, supplemented by relevant educational qualifications (BTech/MTech/MS or PhD in cognate fields).
Eli Lilly, Senior Team Leader in Generative AI Jobs
Eli Lilly, the American pharmaceutical titan, is extending its presence in India and endeavors to fill the position of a Generative AI – Machine Language Engineer. This role mandates an adept practitioner of machine learning, responsible for orchestrating the entire data lifecycle, encompassing data acquisition, cleansing, preprocessing, model training, and deployment in production environments. The principal duties involve configuring state-of-the-art Natural Language Technology (NLT) platforms for the extraction of insights from vital business data. This necessitates the creation, implementation, and oversight of data preparation mechanisms and advanced analytics tools, showcasing insights gleaned from an array of data sources to the business community, and conceiving language comprehension and generation systems using text representation methodologies.
Crucial responsibilities comprise collaborating with engineering counterparts to deploy optimal cloud-based ML solutions, researching and integrating advanced Natural Language Generation (NLG) algorithms for tasks such as summarization, and instating best practices for deployment and infrastructure management. The role additionally entails the preservation of ML model performance, the automation of ML model processes, and the cultivation of relations with diverse stakeholders.
Required proficiencies span the spectrum of designing, developing, and researching ML systems, expertise in Natural Language Processing (NLP)/Natural Language Understanding (NLU)/Natural Language Generation (NLG), AWS proficiency, coding skills in Python, Java, and R, familiarity with Docker/Kubernetes, and experience in agile development practices.
Siemens Healthineers, Generative Engineer
Siemens Healthineers is in pursuit of an accomplished Generative AI Engineer to fortify their research and development cadre. The role mandates the design and implementation of generative AI models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers for diverse applications. Responsibilities encompass data preprocessing, model training, evaluation, deployment, optimization, and seamless collaboration with multifunctional teams.
Essential skills include grounding in machine learning fundamentals, proficiency in programming languages such as Python, adeptness in deep learning, data preprocessing expertise, software engineering proficiency, ethical awareness, and a commitment to continuous learning. This role may also demand knowledge in healthcare if applicable, in addition to expertise in security, documentation, problem-solving, and the management of generative models within production environments.
Should you deem this role suitable, please consult the comprehensive job description.
PwC, Lead Manager in Generative AI Jobs and Data Analytics
PwC is actively seeking a skillful Lead Manager adept in Generative AI and Data Analytics to bolster their Kolkata team, focusing on the application of advanced analytics and AI methodologies to address intricate business conundrums. This position necessitates a fusion of technical prowess, strategic acumen, and business sagacity to foster innovation and corporate expansion. Responsibilities span independently engaging with a global and domestic clientele, harnessing profound mathematical prowess in statistics and probabilities, collaborating with diverse teams to pinpoint business priorities, devising predictive and statistical models, harnessing generative AI for process enhancements, overseeing data pipelines, and disseminating findings to a multifarious array of stakeholders.
Qualifications necessitate a bachelor’s degree in computer science, statistics, mathematics, or a related field, preferably complemented by a Master’s or PhD, and an extensive 10-12 years of experience in the realms of analytics or AI.
Proficiency in Python or R programming, expertise in deep learning frameworks such as TensorFlow or PyTorch, proficiency in statistical modeling, command over data visualization tools, and project management prowess is the expected standard.
The application link can be accessed here.
Wipro, Generative Architect
Indian IT behemoth Wipro is actively recruiting for the role of Generative AI Architect (C1). This position beckons a seasoned professional boasting over a decade of experience. The role revolves around the design and implementation of cutting-edge generative AI models and algorithms, including the likes of GPT, VAE, and GANs, as well as the seamless integration of cloud-based generative AI algorithms. Collaboration with cross-functional teams to align AI projects with business objectives stands as an imperative.
Staying abreast of the latest developments in generative AI, machine learning, and deep learning, and optimizing existing models to elevate performance, forms an integral facet of this occupation.
Proficiency in Python, mastery of deep learning frameworks (be it TensorFlow, PyTorch, or Keras), familiarity with cloud platforms (AWS, GCP, or Azure), and command over Natural Language Processing (NLP) tools (SpaCy, NLTK, Hugging Face) constitutes prerequisites.
Further details regarding this opportunity can be found here.
Ascendion, Generative AI Jobs Engineer
In quest of a career change? Ascendion, the engineering firm, has your aspirations covered. In this capacity with Ascendion, you shall shoulder the responsibility of refining and optimizing generative AI models, ensuring their efficient operation across a myriad of applications. Your remit shall also encompass the conception of intelligent AI agents, geared toward enriching user interactions and the exploration of innovative techniques to enhance recommender systems.
You shall spearhead the construction and management of inference pipelines, facilitating the seamless deployment of AI models across diverse platforms, overseeing deployment operations, and managing version control to facilitate effortless updates and rollbacks.
Furthermore, you shall be tasked with the development of tools that continually assess model performance in a production environment, with an unwavering commitment to software engineering principles. Leveraging your expertise in transformer models and text embeddings, you shall optimize and oversee machine learning models in a production setting. This role offers the flexibility of remote work, opportunities for skill augmentation, and a slew of incentives and rewards.
Frequently Asked Questions (FAQs) for Career Opportunities in Generative AI
- What is Generative AI, and how is it transforming daily work routines?
- Discover how Generative AI, powered by models like Bard and ChatGPT, is revolutionizing everyday tasks.
- Why is training crucial for the effectiveness of Generative AI models?
- Learn why tech companies are actively recruiting to fine-tune and develop these AI models.
- What are some of the top career opportunities in Generative AI?
- Explore career options with leading companies like Apple, Eli Lilly, Siemens Healthineers, PwC, Wipro, and Ascendion.
- What skills are required for a Machine Learning Engineer in Generative AI at Apple?
- Get insights into the qualifications and skills needed for this role.
- What responsibilities come with the role of a Generative AI Senior Team Lead at Eli Lilly?
- Understand the key responsibilities and qualifications for this leadership position.
- What does a Generative AI Engineer do at Siemens Healthineers?
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- What are the qualifications and responsibilities of a Generative AI and Data Analytics Lead Manager at PwC?
- Find out what it takes to become a lead manager in Generative AI and Data Analytics.
- What skills are essential for a Generative AI Architect at Wipro?
- Discover the prerequisites for this architect role in Generative AI.
- What career opportunities does Ascendion offer for Generative AI Engineers?
- Explore the roles and responsibilities available at Ascendion for Generative AI Engineers.
- What are the unique benefits of working in the field of Generative AI?
- Find out about the advantages and opportunities in this dynamic and innovative field.