Bengaluru Karnataka Training assistant Jobs – 937 Open Jobs Today

Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC
Deloitte —Bengaluru, Karnataka
- Microsoft Powerpoint
- Azure
- Computer Science
11d
Assistant Manager - HRBP
Locobear —Richmond Town, Bengaluru, Karnataka
- ₹60,000 - ₹70,000 a month
- Full-time
- Hospitality
- Master's degree
- Human resources
- Paid time off
Quick apply
Sample Handling Assistant I
Labcorp —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Data entry
4d
Sampling Handling Asst I
Labcorp —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Data entry
Mental Health Counsellor or Assistant to CEO
Metanoia Kleos Empowerment Foundation —Bengaluru, Karnataka
- ₹15,000 - ₹30,000 a month
- Full-time
- Hybrid work
- English
- Microsoft Office
- Master's degree
- Paid time off
- Flexible schedule
Quick apply
10d
Junior Operations Assistant
Easyship —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Customer service
- SQL
- Work from home
Quick apply
HR Assistant
Giantlok India Pvt.Ltd. —Hoskote, Karnataka
- ₹40,000 - ₹50,000 a month
- Full-time
- Microsoft Excel
- Master's degree
- Human resources
- Health insurance
Quick apply
6d
Assistant Director- Technology Training (Delivery and Management)
Acuity Knowledge Partners —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Analysis skills
7d
Assistant Front Office Manager
The Paul Bangalore (M/s. Paul Resorts & Hotels Pvt. Ltd.) —Domlur, Bengaluru, Karnataka
- ₹52,000 - ₹55,000 a month
- Full-time
- Management
- In-person
- Hotel experience
- Health insurance
- Paid time off
Quick apply
Radiologist Assistant
Teleradiology Solutions (TRS) —Bengaluru, Karnataka
- Full-time
- Anatomy knowledge
- Word processing
- English
Delivery AI Scientist
Boston Consulting Group —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Access
- Azure
Project Assistant
m360 Research —Bengaluru, Karnataka
- Full-time
- Remote
- Microsoft Excel
- English
- Microsoft Office
Quick apply
USI Audit & Assurance | Assistant, Valuation and Analytics Advisory
Deloitte —Bengaluru, Karnataka
- Night shift
- Finance
- Master's degree
- Analysis skills
Sample Handling Asst I
Labcorp —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Data entry
4d
Production Assistant, Insurance (Hybrid)
Kaplan —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Google Suite
- English
- Microsoft Office
- Health insurance
- Paid time off
ASM - Training
Otis —Bengaluru, Karnataka
- Full-time
- English
- Microsoft Office
- Master's degree
Content Risk Analyst, ASCI
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
6d
Accounts Assistant
NES Internal —Bengaluru, Karnataka
- Hybrid work
- Bachelor's degree
- Accounting
- Organisational skills
- Health insurance
- Paid time off
Executive Assistant
Elite Butlers —Bengaluru, Karnataka
- ₹12,00,000 - ₹15,00,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Customer Service Assistant
Uniqueinvestment.in —BTM Layout, Bengaluru, Karnataka
- ₹20,000 - ₹30,000 a month
- Full-time
- English
- Microsoft Office
- Bachelor's degree
- Paid time off
Quick apply
8d

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Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC

Deloitte -
Bengaluru, Karnataka

Apply Now

Job details

11 days ago

Qualifications

Microsoft Powerpoint
TensorFlow
CI/CD
Azure
Statistics
Computer Science
PyTorch
Data structures
Git
Google Cloud Platform
MongoDB
Tableau
Master's degree
AWS
Docker
Machine learning
PostgreSQL
Distributed systems
Version control systems
Continuous integration
Deep learning
Natural language processing
APIs
Agile
Data science
Data visualization
Flask
AI
MBA
Communication skills
Tax experience
Python
MySQL
Analytics

Full job description

Job requisition ID :: 108114

Date: Jul 17, 2026

Location: Bengaluru

Designation: Assistant Manager

Entity: Deloitte Touche Tohmatsu India LLP

Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC

Job requisition ID : 108114
Location: Bengaluru
Entity: Deloitte Touche Tohmatsu India LLP

The team

Tax Technology Consulting (TTC) utilizes tax technology and strategy consulting experience to help tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting, and planning, while also positioning tax as a strategic business advisor for the digital era. Includes support for tax risk management, tax strategy, tax operations, shared services, data and information management, data analytics, technology and systems integration, and process improvement, all of which are related to the tax function. Learn more about our Tax Practice.

Your work profile

Possess a strong background in artificial intelligence and machine learning, with handson experience in frameworks such as TensorFlow, PyTorch, scikitlearn, and other relevant technologies.
Demonstrate deep understanding of data structures, algorithms, optimization techniques, and distributed computing frameworks.
Deploy machine learning and deep learning models into production environments, ensuring performance, scalability, and reliability across cloud platforms.
Work with diverse database systems and apply best practices in version control, containerization, environment management, and MLOps workflows.
Translate complex, AIdriven mathematical insights into compelling narratives and storyboards for business stakeholders.
Collaborate with crossfunctional teams to convert business requirements into working models, algorithms, and technical solutions.
Execute product roadmaps and contribute to planning and delivery of programs and initiatives defined by product owners.
Solve complex business problems independently, escalating only highcomplexity issues when needed.
Develop and maintain software programs, data processing workflows, algorithms, dashboards, analytical tools, and queries for data cleaning, modelling, integration, and evaluation.
Build, automate, and optimize data pipelines for data ingestion, validation, mining, modelling, and visualization, especially for large-scale datasets.
Design, implement, and evaluate advanced machine learning and deep learning algorithms for diverse business applications.
Modernize and improve legacy models by applying the latest advancements in machine learning, deep learning, and natural language processing.
Customize and finetune large language models (LLMs) to build generative AI solutions addressing multiple functional and business use cases.
Apply A/B testing frameworks and experimentation methodologies to assess and improve model quality.
Take models from research to production using cloud and ML Ops technologies.
Provide clear, actionable analytical insights to support datadriven business decisions.
Stay updated with emerging AI/ML research, tools, and technologies and contribute to continuous improvement of models and systems.
Design endtoend ML architectures ensuring scalability, robustness, observability, and maintainability.
Conduct exploratory data analysis (EDA) to identify trends, patterns, anomalies, and correlations influencing model design.
Develop reusable ML components, templates, APIs, and libraries to accelerate model development and deployment cycles.
Ensure model transparency, fairness, and compliance through robust interpretability and explainability practices.
Implement monitoring and alerting systems to track model drift, data issues, performance degradation, and production risks.
Collaborate with data engineering teams to enhance data governance, data quality, metadata tracking, and lineage documentation.
Lead proofofconcepts (PoCs) to evaluate the feasibility of new AI/ML techniques and technologies.
Enhance CI/CD pipelines for ML workflows, including automated training, testing, tracking, and deployment.
Perform rootcause analysis for production issues related to model performance, data integrity, or pipeline reliability.
Work with business teams to define success metrics, KPIs, and acceptance criteria for ML-driven solutions.
Mentor junior engineers and contribute to knowledge sharing, code reviews, and best-practice development.
Optimize models for computation, memory, and latency across batch and realtime inference workloads.
Evaluate new datasets, labeling strategies, synthetic data approaches, and augmentation techniques to improve training efficiency.
Document model architectures, assumptions, decision logic, datasets, evaluation metrics, and experimental frameworks to ensure reproducibility.
Support integration of AI components into applications and platforms via APIs, microservices, or embedded inference systems.
Perform scenario analysis, stress testing, and benchmarking for highrisk or largescale model deployments.
Participate in Agile ceremonies, including sprint planning, backlog refinement, estimation, and retrospective sessions.
Collaborate with UI/UX teams to ensure AI outputs are presented intuitively across dashboards, interfaces, and products.
Participate in platform/tool evaluations and provide recommendations for improving the AI/ML technology stack.
Contribute to the full lifecycle of AI products—from ideation and prototyping to deployment, monitoring, and continuous refinement.
Maintain experiment tracking, reproducibility, versioning, and audit trails using tools like MLflow, Weights & Biases, or similar platforms.
Troubleshoot production incidents involving data quality, pipeline failures, integration issues, or unexpected model behaviour.
Present results, analyses, risks, and recommendations to stakeholders and leadership in a clear, concise manner.

Key skills required:

Minimum of 2-5 years of relevant work experience.
Master's degree in a related field (Statistics, Mathematics or Computer Science) or MBA in Data Science/AI/Analytics
Experience with database systems such as MySQL, PostgreSQL, or MongoDB.
Experience in collecting and manipulating structured and unstructured data from multiple data systems (on-premises, cloud-based data sources, APIs, etc)
Familiarity with version control systems, preferably Git.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Solid understanding of data structures, algorithms, and distributed computing.
Excellent knowledge of Jupyter Notebooks for experimentation and prototyping.
Strong programming skills in Python.
In-depth understanding of machine learning, deep learning & natural language processing (NLP) algorithms.
Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of containerization tools such as Docker.
Experience in deploying machine learning models in production environments.
Excellent problem-solving and communication skills.
Proficient in using data visualization tools such as Tableau or Matplotlib, or dashboarding packages like Flask, Streamlit.
Good working knowledge of MS PowerPoint and storyboarding skills to translate mathematical results to business insights.

Apply Now

Refine Your Search

training assistant jobs in bengaluru karnataka

Assistant Manager | Machine learning, Artificial Intelligence | Hyderabad | TTC - DOMESTIC

Assistant Manager - HRBP

Sample Handling Assistant I

Sampling Handling Asst I

Mental Health Counsellor or Assistant to CEO

Junior Operations Assistant

HR Assistant

Assistant Director- Technology Training (Delivery and Management)

Assistant Front Office Manager

Radiologist Assistant

Delivery AI Scientist

Project Assistant

USI Audit & Assurance | Assistant, Valuation and Analytics Advisory

Sample Handling Asst I

Production Assistant, Insurance (Hybrid)

ASM - Training

Content Risk Analyst, ASCI

Accounts Assistant

Executive Assistant

Customer Service Assistant

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