Gurugram, Haryana, India
Information Technology
Full-Time
Accenture in India
Overview
Job Title - GenAI Engineer (Experience 2 years plus)
Management Level: 11
Location: Hyderabad
Must have skills: Proficiency and hands-on experience GENAI technology like Deep learning framework (TensorFlow or keras), PyTorch, GANs, transformers (BERT, GPT, T5), CNN, RNN, Python, RL, NLP. FASTApi, Any public cloud, docker, Kubernetes,
Good to have skills: Exposure to Retail, Banking, insurance, Healthcare projects and knowledge of GENAI/AI/MLOPS is an added advantage.
Job Summary:
As a Generative AI Engineer with 2+ years of experience, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc business requests to ensure clients can extract maximum value for the AI applications. You will play a key role in Supporting deployed AI Models, designing and implementing enhancements, including new advanced AI models that generate novel solutions across industries. Leveraging your expertise in deep learning, generative models (large language models), and cutting-edge machine learning techniques, you will collaborate with cross-functional teams to build AI-driven products that solve real-world challenges. You will also be responsible for fine-tuning models, optimizing their performance for scalability.
WHAT’S IN IT FOR YOU?
As a Generative AI Engineer with 2+ years of experience at Accenture, you will play a pivotal role in driving AI innovation and delivering impactful solutions for clients across industries.
Management Level: 11
Location: Hyderabad
Must have skills: Proficiency and hands-on experience GENAI technology like Deep learning framework (TensorFlow or keras), PyTorch, GANs, transformers (BERT, GPT, T5), CNN, RNN, Python, RL, NLP. FASTApi, Any public cloud, docker, Kubernetes,
Good to have skills: Exposure to Retail, Banking, insurance, Healthcare projects and knowledge of GENAI/AI/MLOPS is an added advantage.
Job Summary:
As a Generative AI Engineer with 2+ years of experience, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc business requests to ensure clients can extract maximum value for the AI applications. You will play a key role in Supporting deployed AI Models, designing and implementing enhancements, including new advanced AI models that generate novel solutions across industries. Leveraging your expertise in deep learning, generative models (large language models), and cutting-edge machine learning techniques, you will collaborate with cross-functional teams to build AI-driven products that solve real-world challenges. You will also be responsible for fine-tuning models, optimizing their performance for scalability.
WHAT’S IN IT FOR YOU?
- An opportunity to work on high-visibility projects with top clients around the globe.
- Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
- Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
- Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
- Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.
As a Generative AI Engineer with 2+ years of experience at Accenture, you will play a pivotal role in driving AI innovation and delivering impactful solutions for clients across industries.
- Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes.
- Support, develop and fine-tune generative AI models such as computer vision, BART, DALL-E, GANs, VAEs, and large language models to solve business problems in areas like natural language processing, image generation, and data-driven decision-making.
- Debug issues related to GenAI applications, data loads, batch pipeline, application functionality including special handling requests.
- Collaborate with engineering teams to deploy AI models into production environments, ensuring that they are integrated seamlessly with existing systems and meet client requirements.
- Manage large datasets, ensuring proper preprocessing (e.g., tokenization, normalization) for model training, utilize techniques like data augmentation to enhance model performance and address data limitations in training.
- Validate the quality, integrity, and ethical use of data throughout the AI development lifecycle.
- Continuously monitor deployed models for performance and take corrective action when needed to ensure they meet client SLA/KPIs and expectations.
- Responsible for updating models with new data, fine-tuning them as needed to improve accuracy and performance, also Troubleshoot and resolve technical issues related to the deployed models, ensuring minimal downtime and optimal functionality.
- Work with the latest advancements in AI, generative models, and deep learning to bring innovative ideas, Ai research and best practices.
- Ensure that all AI models and solutions comply with relevant regulations, industry standards, and client-specific requirements.
- 2+ Years of Experience in Generative AI: Proven expertise in working with generative AI models such as GANs, VAEs, transformers (GPT, T5), and reinforcement learning. Strong experience in model development, fine-tuning, and deployment.
- Educational Background: Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Additional knowledge in Business Analytics or Information Systems is a plus.
- Data Engineering Expertise: Hands-on experience with data engineering technologies like Python, R, SQL, Spark, PySpark, Databricks. Ability to preprocess, clean, and augment data for training generative models.
- Experienced with deploying and scaling generative AI models using AWS, Azure, or Google Cloud platforms. Familiarity with cloud-based services for model hosting (AWS Sagemaker, Google AI Platform, Azure).
- Proficient in handling large datasets and presenting insights through data visualization tools such as Tableau, QlikView, and Spotfire. Knowledge of Power BI is advantageous for business intelligence tasks.
- Excellent at analyzing complex data sets and applying machine learning techniques to solve business problems.
- Experience with deploying generative models into production environments. Skilled in using tools like TensorFlow Serving, and cloud-based solutions for serving models.
- Exposure to working on projects in Retail, Banking, or Healthcare is an added advantage, with an understanding of how generative models can drive value in these industries.
- The ideal candidate will possess a strong educational background in computer science or a related field.
- This position is based at our Hyderabad office.
Similar Jobs
View All
Talk to us
Feel free to call, email, or hit us up on our social media accounts.
Email
info@antaltechjobs.in