📋 Job Details at a Glance 📍 Location Chennai, India 🏢 Company Deloitte 👥 Experience 1-3 years 🎓 Qualification Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills statistical modelling ML algorithms deep learning real time feature definitions feature profiles ultra-low latency inference risk domain governance FRM ecosystem strategy Consultant | AI / ML at Deloitte — Full Details & How to Apply Deloitte is seeking a Consultant | AI / ML in Chennai, India with direct responsibility for designing real-time feature definitions and profiles. This role requires expertise in statistical modelling and ML algorithms , and is part of Deloitte ’s AI and data insights engagement in Chennai. This Consultant | AI / ML role is essential for advancing AI solutions in the risk domain governance and FRM ecosystem strategy . The position involves developing real-time feature definitions and profiles, which directly support ultra-low latency inference capabilities. Candidates will engage with core ML workflows such as deep learning and real-time feature profiles , contributing to operational efficiency in AI-driven risk systems. Deloitte recruitment for this position emphasizes technical depth in artificial intelligence and data insights. The role is part of Deloitte ’s Chennai-based AI & Data AI Insights & Engagement team, focusing on practical AI implementation. The job posting specifies that the Consultant will work on statistical modelling , ML algorithms , and deep learning within a structured risk domain. 2024, 2025, 2026 graduates should apply if they hold a relevant technical qualification and demonstrated shipping experience . The role requires 1-3 years of experience , and the salary is Not Disclosed . Candidates will gain hands-on experience with statistical modelling , ML algorithms , deep learning , real time feature definitions , and feature profiles . This role provides exposure to risk domain governance and FRM ecosystem strategy , offering a foundation for progression into senior AI and data roles within technology consulting. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Consultant | AI / ML at Deloitte designs and deploys real-time feature definitions and feature profiles to support machine learning applications in risk domain governance , ensuring ultra-low latency inference systems meet performance benchmarks in digital payments . Design real-time feature definitions and feature profiles to enhance machine learning applications in risk domain governance using statistical modeling to capture temporal data patterns. Utilize statistical modeling and ML algorithms to develop predictive models for real-time data processing in digital payments systems. Collaborate with business stakeholders to implement FRM ecosystem strategy using deep learning models for fraud detection in transaction flows. Monitor and analyze time slice aggregates and slicing windows to optimize model performance in real-time inference pipelines. Maintain and support the codebase for ultra-low latency inference systems using feature profiles and real-time feature definitions as operational inputs. Document process improvements in ML strategy and risk governance using statistical modeling outputs and feature profile validation reports. troubleshoot and resolve production issues in deep learning and ML algorithm pipelines to ensure high availability and low-latency performance . Implement risk domain governance frameworks using statistical modeling and ML algorithms to validate model outputs against regulatory thresholds. This role demands direct ownership of feature profile design, real-time inference performance, and ML strategy execution — every decision impacts system reliability and regulatory compliance in digital payments environments. Required Skills & Technical Competencies Candidates must demonstrate mastery of statistical modeling , ML algorithms , and deep learning to build and deploy models in real-time risk governance systems. These skills are applied in digital payments environments with strict latency and accuracy requirements. Technical Skills Statistical modeling — intermediate — used to build predictive models for time slice aggregates and slicing windows in real-time risk governance . ML algorithms — intermediate — applied in real-time data processing pipelines for digital payments and fraud detection use cases. Deep learning — intermediate — used to process complex transaction data and improve model accuracy in fraud detection systems. Real-time feature definitions — advanced — required to define and update feature profiles dynamically in ultra-low latency inference systems. Feature profiles — advanced — used to validate model inputs and ensure consistency in real-time inference and risk governance workflows. Ultra-low latency inference — advanced — implemented in production systems to support real-time decisioning in digital payments with sub-millisecond response times. Risk domain governance — intermediate — applied to structure model validation and compliance checks within FRM ecosystem frameworks. FRM ecosystem strategy — intermediate — used to align AI solutions with regulatory and operational requirements in digital payments . When showcasing these skills, emphasize hands-on implementation of real-time feature definitions , statistical modeling outputs, and deep learning models in production-grade inference systems with measurable performance metrics. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 1–3 years of experience, and a demonstrated history of shipping AI/ML solutions in real-time systems . Must hold a relevant technical qualification such as a Bachelor’s or Master’s in Computer Science, Data Science, or Statistics . Eligible only for 2024, 2025, and 2026 batches. Minimum of 1 year of hands-on experience in machine learning or AI development with real-time deployment experience. Must have a CGPA of 3.0 or above in technical undergraduate or postgraduate studies. Must present a technical portfolio showcasing ML model development , feature engineering , and real-time inference projects. Must have direct experience in statistical modeling or deep learning applied to financial transaction data or real-time risk monitoring . Documentation & Portfolio Requirements Resumes must include a technical portfolio with project descriptions , model performance metrics , and deployment logs for at least two AI/ML applications involving real-time inference or feature profiling . Pro tip: Prioritize projects that involve real-time feature definitions , ultra-low latency inference , or statistical modeling in financial or transactional data — these directly align with Deloitte’s risk domain governance and digital payments use cases. Salary for Consultant | AI / ML at Deloitte 💰 Compensation Not Disclosed The advertised compensation for the Consultant | AI / ML role at Deloitte is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Consultant | AI / ML Upskilling with the right resources significantly enhances your chances of selection for this role by aligning your skills with the job requirements. Recommended Courses & Resources statistical modelling — Essential for understanding data analysis and predictive modeling in AI/ML. KodNest — Provides hands-on experience with machine learning algorithms and real-time data processing. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in statistical modeling — Include specific examples of your work. ❌ Using a generic resume — Tailor your resume to highlight relevant skills and experiences. ❌ Listing technologies without detailing their application — Provide context for your experience with ML algorithms . ❌ Ignoring the experience requirement — Ensure you meet the 1-3 years of experience criteria. ❌ Adding unrelated skills or unsupported claims — Focus on relevant technologies and experiences. ❌ Not verifying the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Consultant | AI / ML Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include statistical modeling ML algorithms deep learning real-time feature definitions feature profiles ultra-low latency inference risk domain governance FRM ecosystem strategy payments systems data insights AI strategy machine learning Resume Tips for This Role Highlight your experience with statistical modeling, as it is a key requirement for the role. Emphasize any experience with ML algorithms and deep learning , as these are critical for the responsibilities outlined. Showcase projects that involved real-time data processing or feature engineering. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported claims or unrelated technologies that do not match the job data. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated skills or unsupported claims in your resume for this role. How to Apply for Consultant | AI / ML at Deloitte Apply Now — Deloitte Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Deloitte NexisGrow.com does not charge any fees for job applications. Deloitte Deloitte is a technology consulting firm based in Chennai, India. This role is onsite and focuses on artificial intelligence and data insights within digital payments and core banking. The team works at the intersection of AI, data, and financial systems to deliver real-time solutions. The team designs real-time feature definitions and profiles, implements ML strategies for ultra-low latency inference , and manages risk domain governance . They apply statistical modelling , ML algorithms , and deep learning to support digital payments and core banking systems. Collaboration with engineers and business teams is central to implementation. This Consultant | AI / ML role supports Deloitte ’s work in AI insights and engagement, particularly in real-time applications within digital payments and core banking. It enables early-career exposure to advanced AI and ML technologies in high-impact, real-time financial systems. Company Details Industry Technology Location Chennai, India Connect With Us Careers Apply Now Website 🔗 southasiacareers.deloitte.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and 1-3 years of experience from the eligible batches of 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include statistical modeling, ML algorithms, deep learning, and real-time feature definitions. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review statistical modeling techniques, familiarize yourself with ML algorithms, practice real-time data processing scenarios, prepare to discuss your technical qualifications, and understand risk governance in ML. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Chennai, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to advanced AI and ML technologies, particularly in risk governance and real-time applications. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in statistical modeling, ML algorithms, deep learning, and any relevant project experience. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and business stakeholders, but specific work culture details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Deloitte Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com