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AI / ML Engineer
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AI / ML Engineer
Accenture5-7 Years
- Posted 2 hours ago
- Be among the first 10 applicants
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the implementation of AI/ML models.
- Conduct research on emerging AI technologies.
- Optimize AI algorithms for performance and scalability.
- Must To Have Skills: Proficiency in Data Engineering.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
- The candidate should have a minimum of 5 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full-time education is required.
More Info
Key Skills
Deep learning neural networks
GenAI models
Chatbots
Cloud AI services
Cloud or on-prem application pipeline
Clustering algorithms
About Company
Skills:
R Programming, Neural Networks, Deep learning techniques, Image analysis tools, Cloud AI services, Generative AI models
Skills:
Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering
Skills:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining
Skills:
error analysis , Machine Learning, Natural Language Processing, Deep Learning, Numpy, Pandas, Pytorch, Python, Statistical Sampling, Hugging Face Transformers, PDF parsing frameworks, model evaluation metrics, TesserAct, Scikit-Learn, LayoutLM, PaddleOCR, document OCR processing tools