11+ Kofax Jobs in Mumbai | Kofax Job openings in Mumbai

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 

 

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

• Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
• 2+ years of data science experience working with large datasets
• Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
• Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
• Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
• Good knowledge of Machine Learning and Statistical time series analysis (optional)
• Unparalleled logical ability making you the go to guy for all things related to data
• You love coding like a hobby and are up for a challenge!

 

Cultural:

• Assume a strong sense of ownership of analytics : Design, develop & deploy
• Collaborate with senior management, operations & business team
• Ensure Quality & sustainability of the architecture
• Motivation to join an early stage startup should go beyond compensation

What you will be doing-
Understand business problems and translate business requirements into technical requirements.
Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery
adoption.
Lead and mentor data analysts.

What we are looking for-
Apart from your love for data and ability to code even while sleeping you would need the following.
Minimum of 02 years of experience in designing and delivery of data science solutions.
You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
Bachelors/Masters degree in Engineering/Technology or MBA from
Tier-1 B School or MSc. in Statistics or Mathematics.

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

Key Accountability :

- Provide insights based on data to business teams

- Develop framework, solutions and recommendations for business problems

- Build ML models for predictive solutions

- Use advance data science techniques to build business solutions

- Automation / Optimization of new/existing models ensuring smooth,timely and accurate execution with lowest possible TAT.

- Design & maintenance of response tracking, measurement, and comparison of success parameters of various projects.

- Ability to handle large volumes of data with ease using multiple software like Python ,R etc

Experience in modeling techniques and hands on experience in building Logistic regression models, Random Forrest, K-mean Cluster, NLP, Decision tree, Boosting techniques etc


- Good at data interpretation and reasoning skills

• You hold an MS/Ph.D. degree in a STEM domain and 5+ years in a relevant position
• You share your ideas and continuously improve yourself and the team around you.
• Experienced in building and scaling data teams across multiple locations and domains.
• You have a good understanding of evolving an organization’s culture based on analytics and data insights
• Natural and comfortable leader, have excellent problem-solving, organizational, and analytical skills
• Passionate about data improving business and engineering practices like continuous delivery, traceability, and observability
• Strong communication skills, high integrity, and great attention to detail

You’ll get to work with:

• Consumer-facing, as well as core platform, finance, and distribution business units
• Marketing and product teams, across to our engineering teams
• Modern infrastructure (Kubernetes, AWS, GCP)

What we offer

• We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

• Strong technical culture of continuous innovation and improvement
• Chance to become a shareholder of Gelato!
• Flexible festive holidays, swap days off according to your values and beliefs.
• Work at one of our hub city offices or even remotely
• And much more!

 

Work on the cutting edge FinTech landscape on problems of prediction and analytics.This position will work on internal and external data to draw insights into the bottomline for improving customer experience, credit decisioning and predictive maintainance of the platform.

Nactus is at forefront of education reinvention, helping educators and learner’s community at large through innovative solutions in digital era. We are looking for an experienced AI specialist to join our revolution using the deep learning, artificial intelligence.  This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.

 

Role and Responsibilities

• Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy.
• Understand company and client challenges and how integrating AI capabilities can help create educational solutions.
• Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.

 

Skills Required

 

• Knowledge of algorithms, object-oriented and functional design principles
• Demonstrated artificial intelligence, machine learning, mathematical and statistical modelling knowledge and skills.
• Well-developed programming skills – specifically in SAS or SQL and other packages with statistical and machine learning application, e.g. R, Python
• Experience with machine learning fundamentals, parallel computing and distributed systems fundamentals, or data structure fundamentals
• Experience with C, C++, or Python programming
• Experience with debugging and building AI applications.
• Robustness and productivity analyse conclusions.
• Develop a human-machine speech interface.
• Verify, evaluate, and demonstrate implemented work.
• Proven experience with ML, deep learning, Tensorflow, Python

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

1. The candidate should be passionate about machine learning and deep learning.
2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.