

ML Engineer-Analyst/ Senior Analyst
Job purpose:
To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
Qualifications & Specifications
- Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
clustering, ensemble models, random forest, svm, gradient boosting
- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology

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A small description about the Company.
It is an Account Engagement Platform which helps B2B organizations to achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.
Looking for PYTHON DEVELOPER.
We are a team of Product Management and FinTech honchos & alumni of distinguished institutions (IIT/IIM/ICAI) and we are building something at the cutting edge of HR & FinTech Universe (Embedded Finance is the word)! We have most recently raised Series A funding from IndiaMart and BeeNext and looking to expand our team. We are building something that is unique, real, and Impactful. If you carry a similar passion, we'd love to hear from you!
Responsibilities:
- Act as a Techno-Functional Consultant and maximize adoption of our company.
- Assist & train Customers to implement their process and help them to resolve their support queries.
- Increase overall retention and do in-depth analysis to create up-sell/cross-sell opportunities.
- Eliminate risks proactively and share product feedback and experience with the Product team.
- Showcase newly released features and maximize consumption, share a road-map with customers and gather their feedback to improvise the product.
- Delivering and communicating ROI for our clients, throughout the customer lifecycle.
- Being the trusted partner for the customer on the use-case and product functionality.
- Customer onboarding, training, and support.
- Making customers aware of resources such as knowledgebase articles, tutorials, how-to videos, and webinars.
- Gathering customer feedback and sharing it internally to improve the product and/or establish better Customer Support practices.
- Analyzing customer data and helping them discover aspects of the product that are most beneficial to them.
- Carrying out periodic health checks to avoid churn.
- Firefighting during account escalations.
- Account management and renewals.
- Keeping customers updated on changes to the product they're using, new features, and new products they might find useful.
- Encouraging customer advocacy through internal NPS surveys, external reviews, case studies, testimonials, and referrals.
- Upselling and cross-selling through review of customers' progress.
Requirements:
- Post Graduation (MBA).
- Experience of a growing company with a focus on personal growth.



closely with the Kinara management team to investigate strategically important business
questions.
Lead a team through the entire analytical and machine learning model life cycle:
Define the problem statement
Build and clean datasets
Exploratory data analysis
Feature engineering
Apply ML algorithms and assess the performance
Code for deployment
Code testing and troubleshooting
Communicate Analysis to Stakeholders
Manage Data Analysts and Data Scientists
- Required education qualifications: MBA
- Past experience: Consumer Tech companies with 1-3 years experience/ 5-7 years’ experience
- Exp. level -5-8 Yrs/MBA from Premium institute and from Consumer tech companies only
Customer Obsession:
- Understand the customer needs and personas
- Seek input from users and Identify stated/unstated needs and opportunity areas
- Deep dive on identified opportunities to establish Product Market Fit
- Develop mechanisms to have a regular connection with users of the product
- Active listener who pays attention to detail
Innovation:
- Use data/anecdotes to generate new product/feature ideas against organizational goals
- Translate intangible ideas in ambiguous environments to tangible product definitions
- Curious to try a host of features; rigor to iterate even if ideas do not pick up
Execution excellence:
- Manage the Product roadmap and strive to meet key milestones
- Ability to slice ideas into epics and stories
- Prioritize the stories into backlog
- Partner with Design for product/feature definition & Engineering to deliver stories in a timely manner
- Track launched features against intended objectives/metrics and drive adoption
- Continuously iterate to improve the product incrementally but rapidly
Stakeholder Management-
- Seek inputs from relevant stakeholders for backlog creation and prioritization
- Align internal stakeholders on product prioritization, backlog and roadmap
- Anchor the Go-To-Market planning along with internal stakeholders to manage a smooth launch
● Mentor and lead a team of SDETs and QAs across multiple business units
● Lead programmatic best practices by example, be a hands on programmer and
should be able to actively participate in technical discussions
● Bringing industry best practices in QA processes
● Define and monitor quality assurance metrics for continuous quality & process
improvements across multiple engineering tracks
● Manage the automation projects and ensure their success
● Communicating clearly and openly with internal and external stakeholders
regarding progress, roadblocks, and timelines
● Hiring and training of team members
Our Requirements
● BTech/MTech in Computer Science or equivalent
● Highly skilled in writing test cases, test scripts and handling corner cases
● Should have worked on developing tools or frameworks to test complex
micro-services, client applications, systems at scale.
● Expert level knowledge in one or more programming languages(preferably in
JavaScript/Java)
● Good knowledge on the Infrastructure, CI/CD toolchains and ecosystem
● Excellent knowledge of databases and querying language

* Research, guide, and execute frontend architecture changes
* Ensuring high performance of web app
* Writing tested, idiomatic, and documented JavaScript, HTML and CSS
* Cooperating with the back-end developer in the process of building the RESTful API
Skills and Qualifications:
* Proficiency with reactive Programming in JavaScript
* Deep knowledge of Angular2.0+/React practices and commonly used modules based on extensive work experience
* Creating self-contained, reusable, and testable modules and components
* Ensuring a clear dependency chain, in regard to the app logic as well as the file system
* Extensive knowledge of HTML & CSS
* Validating user actions on the client side and providing responsive feedback
* Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed
* Creating custom, general use modules and components which extend the elements and modules of core Angular2.0+/React
* Experience with all levels of operation available to the front-end

- Developing new user-facing features using React.js.
- Build reusable components and front-end libraries for future use.
- Translate designs and wireframes into high-quality code.
- Optimize components for maximum performance across a vast array of web-capable devices and browsers.
- Design a modern highly responsive web-based user interface.
Skills and Competencies;
- Bachelor's degree in computer science preferred.
- 3-5 years of demonstrated experience.
- Good knowledge of HTML5, CSS3.
- Strong proficiency in Javascript.
- Strong working knowledge of React JS and web apps.
- Good working experience using API in UI development.
- Should be able to do responsive design and cross-browser compatibility.
- Willingness to experiment and take complete responsibility for projects.
- Work independently and remote, with excellent follow-up, time management, and organization skills.
- Any additional knowledge of/familiarity with programming, in general, would be a great added bonus.
- Knowledge of Jira/confluence.
- Familiarity with code versioning tools such as Git.
- A team player with a problem-solving aptitude.
- Fluent in a second language preferred, good level of verbal English required.
JD: Sales Director
Future Analytica is looking for a driven, results-oriented Sales director with experience in the SAAS business. This sales director is expected to lead a team of sales executives covering English speaking markets and manage the revenue and market penetration goals. The Sales Director will be responsible to hire, develop, and lead a team of high-performance individual contributors to scale our presence globally.
Duties And Responsibilities
- Develop, analyzes and implements sales strategy across key accounts to attain company strategic objectives
- Own and hit annual sales targets within enterprises accounts
- Partner with customers to understand their business needs and objectives
- Build and maintain strong, long-lasting customer relationships
- Effectively communicate the value proposition through proposals and presentations
- Support marketing by attending trade shows, conferences and other marketing events
- Oversees a team of individual contributors to meet or exceed customer acquisition and retention goals.
- Owns strategic plan, quarterly revenue forecast, territory design, and resource planning for sales of products in all stages of the lifecycle
- Develops team talent and pipeline includes attracting, identifying, developing, rewarding, managing, and coaching includes methodologies, consultative techniques, negotiation, and ABM strategy & tactics.
- Identifies solutions for process and product improvement to increase revenue, profitability, and customer experience.
Ideal Qualifications
- MBA degree and 10+ years with direct Mid-Market or Enterprise Software selling and management experience.
- 5+ years managing individual contributors selling B2B SaaS software
- Experience selling analytics, data, databases, predictive modelling, or business intelligence software in the US and UK.
- Experience selling in core AI industries including Financial Services, Healthcare, Retail, Insurance, and Manufacturing.
- Strong analytical, creative, and critical thinking skills to deliver solutions for both internal operations and customers.
- Proven results with both early-stage and market-proven software products
- Experience negotiating large contracts, including working with internal partners (legal, product, management) and external partners (channel, technology, etc.)
- Excellent verbal and written communication and presentation skills.
- Genuine flexibility and temperament to succeed in a high-energy, fast-growing startup.
About The Company
AI is the next big revolution for the World. Our technology enables AI for the future. Future analytica is an AI-SAAS platform that enables 10x acceleration and democratization to the entire data science journey. The company is well funded and has a team with decades of operational experience and best practice that can be shared with our clients. We are looking for top talent to help us continue our growth — and grow with us!
Frequently Asked Questions:
Why work for us?
It would be a Challenging, grounds up a promising circumstance for you. You get an opportunity to chip away at AI/Data analytics alongside stunning specialists with strongly backed up funding.
Since the organization is as yet in the beginning phases, you will see the total lifecycle of the start-up from getting the underlying clients to raising funding rounds. If you stick it out, you will experience extraordinary career growth.
What is the leadership team at FutureAnalytica and who are backing you?
Started by two young entrepreneurs, AI enthusiasts and have a solid experience in data science and analytics.
Dhiraj.K- Founder & CEO
Mridu Andotra-Co-Founder
Are you okay with remote employment?
Yes, but only in the India or U.S due to time zone convenience. Sometime in 2022, we may get back to offices and prefer working together.
Have you raised any money?
Yes, we raised seed funding by foreign investors
What is work/life balance like at your company?
As an early-stage startup, we wouldn’t want to hide this reality to prospective candidates: raw hours make a big difference in the impact we can make right now. This won’t always be the case, but it is at present.
So, often we find ourselves working later in the evening, on rare occasions a weekend, but it’s mostly driven by personal ambition. We don’t have any expectations of anyone to do so.
However, we love our employees to work flexible with an open-door policy where any employee can reach founders directly.
Our cultural values are...
Customer First: You put the best interest of customers first. It means doing the right thing for the customer even when none (the customer, your manager) is watching.
Innovation: Be an out of the box thinker
Love of Learning: Be curious to learn and implement
Impact: You accomplish an amazing amount of work
Ownership Taker: You take ownership of your goals and don’t blame others for lack of success and be a problem solver.
Authentic and Honest: You are quick to admit mistakes, learn from it. Always assume everyone is working with the best intention. No behind-the-door criticism.
Pro-active- Do it before someone come to ask for it.
Co-operative- Finally gel well with the team.
So, if you think you’re a right fit and ready to take the challenge why late write to us and our People and Culture department will come in touch with you to discuss further.


