11+ Kofax Jobs in Bangalore (Bengaluru) | Kofax Job openings in Bangalore (Bengaluru)

B1 – Data Scientist  -  Kofax Accredited Developers

Requirement – 3

Mandatory –

• Accreditation of Kofax KTA / KTM
• Experience in Kofax Total Agility Development – 2-3 years minimum
• Ability to develop and translate functional requirements to design
• Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
• Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
• Application development using Kofax and KTM modules
• Good/Advance understanding of Machine Learning /NLP/ Statistics
• Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
• Excellent communication skills and collaborative attitude
• Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
• Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

• Previous experience of working on Agile & Hybrid delivery environment
• Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

Qualification -

• Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

Candidate must be from a product-based company with experience handling large-scale production traffic.

2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)

4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5. Candidate must have Self experience in database migration from scratch

6. Must have a firm hold on the container orchestration tool Kubernetes

7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8. Understanding programming languages like GO/Python, and Java

9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10. Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation

• Diploma / ITI in Electrical or Electronics .
• Strong knowledge of UPS systems (0.5kVA to 10kVA+), static switches, batteries, and power electronics.
• Ability to read and understand electrical drawings, wiring diagrams, and schematics.
• Hands-on experience with multimeters, oscilloscopes, and load testing equipment.
• Good troubleshooting, analytical, and problem-solving skills.
• Experience with brands like APC, Eaton, Emerson, Delta, Vertiv, or Luminous will be an advantage.
• Strong customer service orientation and communication skills.
• Willingness to travel for local on-site support and emergency calls.

About Us:

Edstellar is a leading provider of professional development training, offering high-quality courses across various domains such as project management, leadership, and business analysis. We are expanding our digital marketing team and are looking for a PPC Executive to manage and optimize our paid search campaigns across Google Ads and other platforms. This is an exciting opportunity for a dynamic individual looking to grow their PPC skills and make a significant impact on our digital marketing efforts.

Position Overview:

We are seeking a PPC Executive with at least 5 years of experience to support and optimize paid search campaigns for Invensis Learning. You will be responsible for assisting in the setup, management, and performance analysis of our Google Ads campaigns, helping to drive quality traffic, improve lead generation, and support business growth. This position offers an excellent opportunity for an entry-level professional eager to grow their PPC expertise in a fast-paced eLearning environment.

Key Responsibilities:

1.    Campaign Setup and Management:

o   Assist in the creation and management of PPC campaigns across Google Ads, focusing on Search, Display, and Remarketing ads.

o   Set up keyword targeting, ad copy creation, and campaign structure based on business goals.

2.    Keyword Research:

o   Conduct keyword research to identify new opportunities for campaigns.

o   Optimize keyword lists and ad groups for maximum performance and relevancy.

3.    Ad Copywriting and Optimization:

o   Write effective ad copy that resonates with target audiences and drives high CTR.

o   Continuously monitor and adjust ad copy to improve performance.

4.    Campaign Monitoring and Reporting:

o   Monitor the performance of PPC campaigns daily, focusing on key metrics like CTR, CPC, and conversion rates.

o   Prepare weekly performance reports and provide insights for optimization.

5.    A/B Testing:

o   Assist in running A/B tests for ads, landing pages, and bidding strategies to determine what works best.

o   Analyze A/B test results and implement necessary optimizations.

6.    Budget Management:

o   Monitor and manage PPC budgets to ensure campaigns are cost-effective and stay within the allocated budget.

o   Adjust bids and budget distribution to ensure maximum ROI.

7.    Competitor Research:

o   Monitor competitor ads and campaigns, providing insights and recommendations for improvement.

o   Track industry trends and competitor strategies to stay ahead in the market.

8.    Landing Page Optimization:

o   Work closely with the design and development teams to optimize landing pages for higher conversions from PPC traffic.

o   Analyze landing page performance and suggest improvements.

9.    Collaboration with Cross-Functional Teams:

o   Collaborate with the SEO, content, and design teams to ensure alignment in marketing efforts.

o   Contribute to campaigns supporting product launches, promotions, and events.

10. Learning and Growth:

o   Continuously stay updated with the latest PPC trends, Google Ads updates, and industry best practices.

o   Participate in training and development sessions to enhance PPC skills.

Key Competencies:

· Google Ads Basics: Understanding of Google Ads (Search, Display, Remarketing), with experience managing basic campaigns.

· Ad Copywriting: Ability to write clear, compelling ad copy that captures the target audience's attention.

· Keyword Research and Optimization: Familiarity with keyword research tools like Google Keyword Planner and Google Trends.

· Data Analysis: Ability to track key metrics and analyze campaign performance to suggest improvements.

· Attention to Detail: A keen eye for detail to ensure campaigns are set up correctly and optimized continuously.

· Time Management: Ability to handle multiple tasks and projects in a fast-paced environment.

· Team Player: Willingness to work closely with other teams (SEO, content, design) to improve overall campaign performance.

Key Skills for Reporting and Data Analysis:

· Google Analytics: Basic understanding of Google Analytics to track website traffic and conversions.

· Excel/Spreadsheets: Competence in Excel to manage data, track performance metrics, and create simple reports.

· Google Ads Reporting: Basic proficiency in Google Ads reporting tools to generate insights into campaign performance.

· Data Visualization: Ability to present campaign data in an easy-to-understand format for stakeholders.

Preferred Qualifications:

· Experience with eLearning or Training Industry: Prior experience or understanding of the eLearning or corporate training industry is a plus.

· Google Tag Manager: Familiarity with Google Tag Manager for setting up tracking and event tags.

· PPC Certifications: Google Ads Certification or any relevant certifications are desirable but not mandatory.

Experience Required:

· Minimum 5 year of experience in managing PPC campaigns, preferably in an eCommerce, education, or services-based environment.

· Some experience with Google Ads, Bing Ads, or social media advertising platforms.

· Knowledge of Google Ads best practices and campaign optimization strategies.

Desired Candidate Profile

• MBA from Tier-1 colleges (IIMs, XLRI, SPJain, FMS etc)
• Min 7 years of marketing experience. Out of 7 years of Marketing experience, minimum 3 years in handling brand profile
• E-comm, Health Tech, Ed Tech, Fin Tech, FMCG, Telecom background preferred
• Expertise in running ATL / BTL led marketing campaigns
• A go-getter with ownership and commitment
• Strong communication and interpersonal skills
• Ability to work cross-departments to achieve results    

You’ll be our: Business Software Team Lead

You’ll be based at: IBC Knowledge Park, Bengaluru

You’ll be Aligned with: Engineering Manager, Ather Web Stack.

You’ll be a member of:  Software & Intelligence

What you’ll do at Ather:

• Guide development team efforts towards successful project delivery.

• Provide technical leadership to teammates through coaching and mentorship.

• Maintain high standards of software quality within the team by establishing good practices and habits.

• Identify and encourage areas for growth and improvement within the team.

• Collaborate with other software developers, business analysts and software architects to plan, design, develop, test, and maintain web-based business applications.

• Design, develop, and unit test applications in accordance with established standards. Participate in peer-reviews of solution designs and related code.

• Package and support deployment of releases.

• Develop, refine, and tune integrations between applications.

• Analyze and resolve technical and application problems.

• Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.

• Adhere to high-quality development principles while delivering solutions on-time and on-budget.

Here’s what we are looking for: 

• Expert level of experience working with technologies like Nodejs and javascript.

• Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies.

• Hands-on experience in writing applications at scale.

• Experience with test-driven development and automated testing frameworks.

• Experience with Scrum/Agile development methodologies.

• Expertise with code reviews with a major focus on best performance, scalability, security and future expansion.

• Should have worked on Scalable projects / large applications / Microservices architecture.

• Should have worked primarily on Backend Development projects.

• Good to have Object Oriented Development in languages like Java.

• Familiar with various design and architectural patterns.

• Experience in leading a high performing engineering team of ~5 members.

You bring to Ather:

• 5+ years’ experience as a Software Developer

• Prior experience in a technical leadership position

• College or University degree in Computer Science or a related discipline 

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server

1. Experience: 3-5 Years
2. Scripting: PowerShell and either of ( JavaScript, Python)
3. Kubernetes and docker Hands-On   
4. Good to have either (Azure / AWS ) 
5. Any of DB technologies Hands-ON: No SQL - Admin, COSMOS DB, MONGO DB, Maria DBA  
6. Good to have Analytics knowledge