Machine Learning-AI and Data Science Engineer II

Summary Position Summary Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.

Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients’ success achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.

Level: AI and Data Science Engineer II As an experienced AI and Data Science Engineer II at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.

Work you’ll do: Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.

The team: AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

AI & Data professionals will work with our clients to:

• Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
• Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.

Location: Bengaluru/Hyderabad/Pune/Chennai

Qualifications Required:

• 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
• Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
• Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
• Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
• Model deployment on Cloud or On-prem will be an added advantage
• Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
• Deliver large-scale DS/ML end to end projects across multiple industries and domains
• Liaison with on-site and client teams to understand various business problem state]ents, use cases and project requirements
• Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data & AI professionals to deliver projects from inception to implementation
• Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
• Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members

Preferred:

• Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
• AI/Cloud certification from a premier institute is preferred.

Education:

• BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university

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