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Senior - Mlops Senior
Ernst & Young
posted 5hr ago
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Job Description
- Contribute to the design and implementation of state-of-the-art AI solutions.
- Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
- Collaborate with stakeholders to identify business opportunities and define AI project goals.
- Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
- Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
- Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
- Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
- Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
- Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
- Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
- Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
- Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
- Ensure compliance with data privacy, security, and ethical considerations in AI applications.
- Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
Requirements :
- Bachelors or Masters degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
- Minimum 3-7 years of experience in Data Science and Machine Learning.
- In-depth knowledge of machine learning, deep learning, and generative AI techniques.
- Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
- Familiarity with computer vision techniques for image recognition, object detection, or image generation.
- Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
- Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
- Understanding of data privacy, security, and ethical considerations in AI applications.
- Track record of driving innovation and staying updated with the latest AI research and advancements.
Good to Have Skills:
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
- Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
- Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
- Implement CI/CD pipelines for streamlined model deployment and scaling processes.
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
- Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
- Implement monitoring and logging tools to ensure AI model performance and reliability.
- Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
- Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
Employment Type: Full Time, Permanent
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Rating based on 1 Senio
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Anonymous · Finance
in Gurgaon/Gurugram
Likes
Salary and Perks were good.
Dislikes
No growth.
Read 1 reviewSenio salary at Ernst & Young
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4
employees
with 4-10
years exp.
₹11
L/yr - ₹20
L/yr
41%
more
than the average Senio Salary in India
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What Ernst & Young employees are saying about work life
based on 10.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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Ernst & Young Bangalore / Bengaluru Office Locations
Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram
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Bengaluru Office
Ernst & Young
Tower C, 3rd Floor, RMZ Infinity
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Survey No 1477/2 & 10
Benniganahalli, K.R. Puram
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UB City, Canberra Block
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No. 24, Vittal Mallya Road
Bengaluru
Bengaluru
560001
560001
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