Total 9 Education / Training job vacancies in Bengaluru

ABOUT THIS JOB  
We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies. 

RESPONSIBILITIES 

• Managing clients and their respective projects custom research team in matters of market research based on experience in one or more sectors (Auto, financial services; media, telecom & technology, energy, etc.) 
• Reporting to a project lead, you will be responsible for the successful execution of customized quantitative studies, including project costing, questionnaire design, project management and execution, analysis and report writing. 

Client Management 

• Managing clients and their respective projects from beginning to end, including making actionable recommendations to support key business objectives 
• Consistently exceeding client expectations from project inception through completion 

Project Management 

• Successfully manage multiple projects simultaneously, all in different design/analysis stages 
• Proactively anticipating, troubleshooting, overcoming, and/or escalating challenges to your project lead in a timely manner 
• Coordinating project task activities between your project team and internal support/operations team(s) 
• Consulting (Questionnaire Design, Analysis, Reporting & Writing) 
• Assist in the development of strong and captivating proposals to meet client needs, based on short research briefs and/or elaborate RFPs; including assisting with costing structure, methodological design, analytical framework, etc. 
• Designing questionnaires/focus group screeners/interview guides to meet the specific or unique client objectives 
• Synthesis and communication of both primary and secondary research findings into actionable insights according to the client’s objectives 
• Full reporting and analysis (via PowerPoint): Interpreting and analysing multivariate data, drawing insightful conclusions and providing recommendations, where applicable. 
• Provide "in office" research, administrative and operational support to senior staff 
• Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc and perform quality checks on all reports for alignment to request, accuracy and correctness 

A LITTLE BIT ABOUT YOU

• Proactive.
• Able to influence and persuade.
• Strong customer service and interpersonal communication skills.
• Ability to analyse and interpret data in a challenging and insightful manner.
• Strong and articulate verbal and written communication skills.
• Efficient time management, ability to multi-task and detail-oriented.
• Displays maturity and creative problem-solving skills in handling crises.
• Recommend improvements in work processes within area of responsibility.
• Analyses and interprets financial information to ensure the achievement of business targets and early identification of issues/crisis. 

We are looking for a highly analytical and dynamic Equity Derivatives Research Analyst who combines strong market knowledge with excellent communication skills. In addition to research, this role involves engaging with external stakeholders, representing the company at events, and collaborating with Key Partners in the trading ecosystem.

Key Responsibilities

● Conduct in-depth research on Crypto derivatives markets, including options and futures

● Generate trade ideas and strategies (e.g., spreads, straddles, hedging strategies)

● Analyse market trends, volatility surfaces, and macro factors impacting derivatives pricing

● Prepare daily/weekly research reports and market commentary

● Engage in conversations with Key Partners, traders, and industry experts to build insights and partnerships

● Represent Delta Exchange at industry events, conferences, and meetups

● Be open to frequent travel for events, client meetings, and ecosystem engagement

● Collaborate with marketing and growth teams for content creation, webinars, and community engagement

● Support clients/internal teams with data-driven insights and strategy explanations

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or related field

• Strong understanding of derivatives (Options, Futures, Greeks, volatility concepts)

• Experience with Python, R, or similar analytical tools

• Strong written and verbal communication and interpersonal skills, with the ability to engage external stakeholders

• Willingness to travel and represent the company externally

• Strong analytical thinking and problem-solving skills

Preferred Qualifications

• Experience in a trading desk, hedge fund, brokerage, or fintech/crypto environment
• Good to have experience engaging with trading communities or influencers
• Familiarity with content creation (blogs, webinars, social media insights)
• Certifications such as CFA, FRM, or NISM (India) are a plus

Key Skills

● Options Pricing & Greeks

● Volatility Modeling

● Quantitative Research

● Financial Modeling

● Stakeholder Engagement

● Public Speaking & Communication

We are looking for a Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

• Lead the design, development, and deployment of state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
• Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.
• Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
• Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
• Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
• Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
• Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.

The Head of Learning & Development (and Bosch Training Center – India) provides strategic leadership to strengthen learning culture and capability development across RO-IN. The role enables the region’s future readiness by shaping impactful, scalable, personalized and digitally enabled learning solutions aligned with business priorities and the regional people strategy. Additionally, the role also leads the Bosch Training Center (BTC) India and advances the BTC Alliance agenda, ensuring high-impact learning solutions that support the region’s capability-building priorities.

Key Responsibilities

• Lead the design and implementation of future-focused competency development and transformational learning programs across technical, functional and leadership domains.
• Serve as a resident expert in Learning & Development and mentor a team of learning consultants, product managers and domain experts (Leadership, Learning, OD, Culture, UX, Quality) to enable organizational transformation and enhance business performance
• Lead enterprise-wide learning, leadership development and organizational development initiatives, including consulting engagements with business units.
• Drive a culture of continuous learning, leadership and collaboration through coaching, positive leadership practices and development initiatives.
• Lead digital learning innovation and drive the implementation of state-of-the-art learning platforms, tools and methodologies to enhance accessibility, scalability and effectiveness.
• Explore and build external partnerships and innovation eco-system to develop people products
• Strengthen robust governance and measurement frameworks to track learning impact, capability growth, and business outcomes.
• Ensure alignment with global learning standards, processes, and compliance requirements.

Knowledge and Skills

• Strategic thinking with strong business, organizational and people acumen           
• Stakeholder management and ability to influence across functions and leadership levels                
• Strong collaboration skills to work across teams, functions, and global/regional stakeholders
• Strong people leadership capabilities to build, mentor and develop high-performing learning team   
• Strong orientation toward digital learning ecosystems and modern learning methodologies
• Program and project management capabilities to drive large-scale learning initiatives                     
• Expertise in learning design, facilitation, and capability development                                   
• Customer-focused mindset with strong orientation toward user experience             
• Analytical mindset with curiosity, adaptability and openness to change

Prime Function:

• To plan, control, coordinate and participate in the training of the employees of the organization.
• Ensure that training develops skills, enhances productivity and quality of work.
• Establish orientation, training, developing and evaluating systems for the employees.
• To design, develop, plan, administrate and implement an effective and systematic training activities and programs for all levels or staff, resulting in a highly motivated, flexible and multi skilled workforce.
• Assess training requirements for the employees and create suitable programs to meet the requirements.
• To ensure implementation of an active and efficient Training system for all the departments.
• Plan and administer training seminars for the employees in accordance with the policies & procedures.
• Ensure to assess the effectiveness of training after every training program conducted.

• Ensure to create a positive learning environment
• Any matter which may effect the interests of Novotel Kolkata should be brought to the attention of the Management.
• Keep abreast of the latest information on innovations in trends in Hospitality..
• Plan, organize, and direct the training operations, perform needs assessment to assure that training fulfills the needs, objectives and relevant compliance issues.
• Define operating objectives and training plans to meet short and long term goals.
• Plan, organize, and direct the training operations, perform needs assessment to assure that training fulfills the needs, objectives and relevant compliance issues.
• Define operating objectives and training plans to meet short and long term goals.

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

Responsibilities:

• As a Manager, you will participate in key technical and design discussions with technical leads in the team.
• You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the Trust organization
• You will collaborate with trust-focused teams such as the Policy team, legal team, ML infrastructure team, and AI foundation team.
• You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
• You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
• You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
   

LinkedIn Marketing Solutions (LMS) helps B2B brands reach, engage, and convert professional audiences on a safe, trusted platform. The Ads Trust Engineering charter builds scalable AI systems that improve Ads auto-review, traffic quality, brand safety/suitability/viewability, and transparency for members and advertisers, while enabling partner-led growth.

As a Staff AI Engineer, you will lead end-to-end ML systems and AI defenses that protect members and maximize advertiser ROI across LinkedIn Marketing Solutions. You’ll own architecture and delivery from data pipelines to low-latency inference, partner across product/infra/DS to set technical direction, and raise the bar on engineering craftsmanship and operational excellence.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:
- Design, build, and scale ML platforms and models for ads relevance, brand safety/suitability/viewability, and invalid traffic (IVT) / fraud detection in both pre-bid and post-bid workflows.
- Own real-time scoring and streaming pipelines with strict SLA/latency requirements; drive robust feature engineering, model serving, monitoring, and auto-remediation.
- Apply and productionize LLM/GenAI techniques (e.g., topicality classification, policy defenses, safety prompts) with measurable precision/recall improvements.
- Lead experiment design (A/B, backfills, offline/online eval), build high-signal metrics and dashboards, and partner with the data science team to quantify impact.
- Drive system design for reliability and scale (caching strategies, partitioning, queue management, backpressure control, failover).
- Collaborate with product, policy, and legal on trust/transparency and compliance requirements; influence design for customer-facing transparency (e.g., “Why am I seeing this ad?”).
- Mentor engineers; establish best practices for testing, code quality, observability, capacity planning, and safe ramps.
- Champion agentic/AI-native development to improve engineering velocity (tests, PR reviews, CI/CD automation) and reduce operational toil.

We are looking for a Senior Staff Machine Learning Engineer to play a pivotal role as a technical leader within the AI team. This role goes beyond building models - you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

• Lead the design, development, and deployment of large-scale machine learning systems across areas such as ranking, recommendation systems, personalization, generative AI, reinforcement learning, and large language models.
• Define and drive the technical roadmap and architecture for end-to-end AI systems, ensuring scalability, performance, reliability, and maintainability.
• Research, fine-tune, and adapt large language models (LLMs) and build and productionize advanced AI solutions, including foundation models and agentic systems, capable of reasoning, decision-making, and contextual intelligence.
• Drive best practices in experimentation, model evaluation, fairness, explainability, and system robustness.
• Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
• Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
• Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
• Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.

LinkedIn Marketing Solutions (LMS) helps B2B brands reach, engage, and convert professional audiences on a safe, trusted platform. The Ads Trust Engineering charter builds scalable AI systems that improve Ads auto-review, traffic quality, brand safety/suitability/viewability, and transparency for members and advertisers, while enabling partner-led growth.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Role Overview

As a Staff AI Engineer, you will lead end-to-end ML systems and AI defenses that protect members and maximize advertiser ROI across LinkedIn Marketing Solutions. You’ll own architecture and delivery from data pipelines to low-latency inference, partner across product/infra/DS to set technical direction, and raise the bar on engineering craftsmanship and operational excellence.

Responsibilities

• Design, build, and scale ML platforms and models for ads relevance, brand safety/suitability/viewability, and invalid traffic (IVT) / fraud detection in both pre-bid and post-bid workflows.

• Own real-time scoring and streaming pipelines with strict SLA/latency requirements; drive robust feature engineering, model serving, monitoring, and auto-remediation.

• Apply and productionize LLM/GenAI techniques (e.g., topicality classification, policy defenses, safety prompts) with measurable precision/recall improvements.

• Lead experiment design (A/B, backfills, offline/online evaluation), build high-signal metrics and dashboards, and partner with the data science team to quantify impact.

• Drive system design for reliability and scale (caching strategies, partitioning, queue management, backpressure control, failover).

• Collaborate with product, policy, and legal on trust/transparency and compliance requirements; influence design for customer-facing transparency (e.g., “Why am I seeing this ad?”).

• Mentor engineers; establish best practices for testing, code quality, observability, capacity planning, and safe ramps.

• Champion agentic/AI-native development to improve engineering velocity (tests, PR reviews, CI/CD automation) and reduce operational toil.