EY
AI ML & Data Analyst Expert
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Delhi, India
Work mode:
Onsite
Published on:
24 August 2026
What they need
AI/ML and Data Analysis Expert
Experience: Minimum 5 Years relevant experience in AIML is must.
Qualification: B.Tech / B.E. / MCA / M.Tech / M.Sc.
Role Overview
We are looking for an experienced AI/ML and Data Analysis Expert to design, develop, and implement advanced analytics, machine learning, and artificial intelligence solutions. The ideal candidate should have strong expertise in data analysis, predictive modeling, data visualization, and AI/ML frameworks, with the ability to derive actionable insights from large and complex datasets.
Key Responsibilities
- Develop, train, and deploy Machine Learning and AI models for business and operational use cases.
- Perform data collection, cleansing, transformation, and exploratory data analysis.
- Build predictive, prescriptive, and statistical models to solve business problems.
- Design and implement data pipelines and analytics solutions.
- Create dashboards, reports, and visualizations using relevant BI tools.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- Collaborate with cross-functional teams to identify AI/ML opportunities and translate business requirements into technical solutions.
- Stay updated with the latest advancements in AI, ML, Generative AI, and data science technologies.
Required Skills
- Strong proficiency in Python, R, SQL, and data analysis libraries.
- Experience with Machine Learning, Deep Learning, NLP, and Predictive Analytics.
- Hands-on experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
- Knowledge of Generative AI, Large Language Models (LLMs), and AI applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar.
- Understanding of cloud platforms such as Azure, AWS, or GCP.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of MLOps, model deployment, and monitoring frameworks.
- Relevant certifications in AI, ML, Data Science, or Cloud Technologies.
Minimum Experience: 5+ years in Data Analytics, Artificial Intelligence, Machine Learning, or Data Science.
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