Dataiku Developer

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with Major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 30+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

About the Role

Customer Success contributes to our efforts to enhance and transform the Appknox customer experience via a customer-centric approach (building and maintaining relationships, proactively identifying potential crises that may be detrimental to the user experience, and meeting and exceeding customer expectations). Thus, helping to differentiate Appknox. This position provides the opportunity to tame different use cases across multiple industries and interact with some of the smartest individuals from other fast-growing companies that are our customers. Your leadership will drive the CS function’s focus on minimizing churn, increasing renewals, and identifying upsell/cross-sell opportunities to contribute to Appknox's growth and success. We see this role requiring an intersection of three key skills – Business Acumen & Problem solving, Product Perspective, and People Skills.

Key Responsibilities:

Leadership & Strategy

• Lead and scale the Customer Success function, driving customer retention, renewal, churn reduction, and expansion.
• Develop a value-based mindset, mapping the customer journey for proactive engagement and advocacy.

Team Development

• Mentor the CS team, enhancing skills in upselling, cross-selling, and customer relationship building.
• Foster a results-oriented culture with clear KPIs and regular 1:1s.

Customer Engagement

• Build strong relationships with enterprise clients, driving product adoption and revenue growth through upsell and cross-sell strategies.
• Collaborate closely with sales for aligned growth initiatives.

Process & Improvement

• Define success metrics, optimize processes for onboarding, adoption, and renewals, and track team performance.
• Ensure cross-functional collaboration for a seamless customer experience.

Customer Advocacy

• Champion customer feedback to inform product and service improvements.
• Lead business reviews to improve account health and address gaps.

What You Bring-

Experience:

• 5-8 years of customer-facing experience, with 2+ years leading a high-performing customer success team.
• Proven success in managing large enterprise customers and complex multi-stakeholder accounts.
• Track record of achieving and exceeding retention, expansion, and customer satisfaction targets.
• Enabling the team with resources and skill sets to own cross-sell and upsell opportunities.

Skills:

• Strong business acumen, with the ability to influence through persuasion, negotiation, and consensus building.
• Experience with customer lifecycle management, journey mapping, and defining success outcomes.
• Proven ability to develop and implement churn-reduction strategies and enhance overall customer satisfaction.
• Experience in mobile app security or related industries is a plus.

Leadership Qualities:

• An enthusiastic and creative leader with the ability to inspire and motivate teams.
• Confident and dynamic, with a sense of humor and an open mindset.
• Able to handle challenging situations and navigate through uncertainty.

First Year Roadmap-

Work Expectations

Within 1 month

• You should have a complete hold of the product and the value customers are getting from it.
• Get clarity on how Security products and services are managed and delivered. 
• Get a Fair understanding of all the departments/functions at appknox and meet with team members of every function.
• Initiate 1*1s with all the team members.

Within 3 months

• Define and optimize the customer journey, segmentation, and intervention strategies.
• Identify gaps in the CS function and propose actionable improvement plans.
• Initiate regular coaching and performance evaluations with the team.
• Interact with at least 5-10 customers and elicit feedback that we should be focusing on.

Within 6 months

• Set and track operational metrics for the CS team.
• Implement strategies to reduce churn and increase product adoption.
• Align customer success efforts with sales for seamless upsell/cross-sell initiatives.
• Manage and Coach the team to ensure they reach their complete potential.

Within one year

• Establish a customer success culture that permeates the entire organization.
• Redefine the Ideal Customer Profile (ICP) to attract the right clients.
• Lead initiatives to scale and upskill the team, focusing on long-term growth and efficiency.

Interview Process

• Round 1: Initial conversation with HR 
• Round 2: Take Home Assignment
• Round 3: Interview with Senior leadership
• Round 4: Panel interview with Senior Leadership 
• Round 5: Interview with CEO 
• Round 6: Interview with HR

Compensation- As per Industry Standards

Why Join Appknox?

• Freedom & Responsibility: Work on challenging problems in a high-trust environment with flexibility in working hours and autonomy over your work.
• Competitive Compensation: We offer salary packages that reflect market trends, plus equity to ensure alignment with the company’s long-term success.
• Growth Opportunities: We foster continuous learning and development, supporting your journey towards career advancement.
• Transparency: Enjoy working in a startup culture that prioritizes open communication and cross-functional collaboration.
• Health Benefits: Comprehensive health insurance for you and your family.

Skills Required:

- 4+ years of technical experience in a developer role

- Strong proficiency with Core Java

- Database experience preferably with DB2, Sybase, or Oracle

- Complete SDLC process and Agile Methodology (Scrum)

- Strong oral and written communication skills

- Excellent interpersonal skills and professional approach

- Bachelor’s degree in Computer Science, MIS, or other technology/engineering discipline

Skill Desired:

-Strong proficiency with Scala on Spark

- Previous experience in front office and back office reports

- Strong understanding Order Life Cycle management from Equities or Listed derivatives perspective

- Previous experience in Trade Surveillance or working with data from the order lifecycle

- Good to have knowledge on Hadoop Technologies

- High quality software architecture and design methodologies and patterns

- Work experience as level-3 support for applications

- Layered Architecture, Component based Architecture

- XML-based technologies

- Unix OS, Scripting, Python or Perl

- Experience in development on other application types (Web applications, batch, or streaming)

Role Description

This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.

Qualifications

• Data Science, Statistics, and Data Analytics skills
• Data Visualization and Data Analysis skills
• Strong problem-solving and critical thinking abilities
• Ability to work with large datasets and perform data preprocessing
• Proficiency in programming languages such as Python or R
• Experience with machine learning algorithms and predictive modeling
• Excellent communication and presentation skills
• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Experience in the field of video and text analytics is a plus

Our Tech Stack:

- PHP, Code igniter, MVC Framework

- Node JS, JavaScript, HTML, CSS

- Ajax, JQuery

- Redis, SQL/Maria DB

- Linux/AWS

Few Challenges we are working on right now :

- Improving Server Response & Load balancing.

- Server side development on various projects.

- Customized CRM to increase leads handled per salesperson to double a day.

- Create a platform for users to create their custom event website.

Job Objectives:

-Optimization of current backend API's

- Should be able to create & manage microservices

- Server & DB Migration (Good To Have)

- Optimization of the application for maximum speed and scalability - Implementation of security and data protection

- Collaborate with senior management, operations & business team

- Building Rest APIs and maintain Database optimizations

- Good To have understanding on Docker,Jenkins & Kubernetes

Looking For :

- Great understanding of Node,Express, Socket.io, MVVM framework,

- Worked on e- commerce website, server handling and deployments scripts

- The one who has worked on customer facing product for 2 years

 - Experience designing scalable, fault tolerant systems and databases.

Azure DeVops

On premises to Azure Migration

Docker, Kubernetes

Terraform CI CD pipeline

9+ Location

Budget – BG, Hyderabad, Remote , Hybrid –

Budget – up to 30 LPA

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning