11+ Typing Jobs in Pune | Typing Job openings in Pune

• Smart & quick learners.
• Min 12th Pass
• Excellent communication skills 
• Proficient in computer operation
• Age between 18-22 years

Note:

• Should have hands-on core knowledge of Java.
• Must have min 3-5 years of experience.

Kindly do not apply otherwise.

Candidates must also fill out this form to start their processes. -> https://forms.gle/mBUAdg2NfrL6DF479

Looking for 5+ years of experienced Java developers to work on a new-age lending finance company based in Pune. We empower established banks with the lending ecosystem of the future. Backed by HDFC, we are on a mission to grow our current transactional amount of 13 Bn+ to tenfolds in the near future.

Our tech stack is one of the most exciting and ahead of its times where we would be expecting you to get your hands practical on these things.

- Ability to communicate effectively verbally and in writing.

- Mentoring junior developers with code reviews design reviews and unit tests.

- Code Versioning (Git, Bitbucket)

- Java

• Collections

• Multi-threading, Background Scheduling

• Design & Architecture patterns

• Springboot, MVC, API-first philosophy

• Understanding fundamental design principles behind a scalable application

• Work with database versioning concepts using Java.

- Api Gateways - APiCurio, Kong, Open API Concept

- Redis, Kafka, ElasticSearch

- DB - PSQL, Aurora, MongoDB

- Deployment - basic understanding of Docker, Kubernetes, Terraform AWS

- Alerting & Monitoring - grafana, elasticsearch, kibana, fluentd, prometheus

Although the full list of the tech stack is very vast, and we've multiple developers for each part of the stack, we would expect any senior role to understand the basics of other services end of the day, but be fluent in Core Java.

RELEASE MANAGER

Bangalore/Pune

Full Time

We are seeking a collaborative, organized, process and detail oriented Release manager to drive high quality, on-time deployment of quarterly product releases by designing, implementing and executing effective release management processes in a collaboration with global Engineering, Operations, Product Management, services and Technical Support teams.

Responsibilities

•  Managing risks and resolving challenges that impact release scope, quality, and
• schedules
• Planning release windows and cycles across portfolios, components
• Managing relationships working on interrelated processes
• Communicating crucial release plans and changes
• Measuring and monitoring progress to achieve a timely software release within
• defined budgetary limits and defined quality standards
• Producing deployment, implementation, and run books plans
• Conducting release readiness and milestone reviews
• Maintaining release schedules for every core service and ensuring it aligns with major vendors and other stakeholder. Qualifications
• Mid-Senior: 7-12+ years of experience
• Experience as a release manager leading a substantial feature/product in the enterprise
• space
• Curiosity to learn + Extreme ownership + EQ/interpersonal skills
• Enjoys streamlining complex engineering processes and wants to gain mastery ∙
• Excellent written and verbal communication skills
• Excellent analytical skills
• Structured thinking
• Experience in coordinating cross-functional work teams up to task completion.

We have a passion for excellence. We love what we’re doing and have fun doing it. We value great minds, but we’re also humble enough to rally around the best solution, regardless of whose idea it was. We appreciate talent, and we are always on the lookout for the right people to join us. dial for info nine one zero one four double three eight one two.

• Plan and execute all digital marketing activities, In app, SMS and Email notifications & other digital campaigns
• Measure and report performance of all digital marketing campaigns & activities
• Brainstorm new and creative growth strategies & high frequency scenario
• Plan, execute, and measure experiments and conversion tests
• Collaborate with internal teams to optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Analyse existing products and plan growth and improvement strategy
• Manage campaign timelines and deliverables
• Document best practices and seek out opportunities to improve existing processes
• Create reports and build reporting requirements for data management and analytics

• Masters/Bachelor’s Degree in Business or Marketing.
• MBA in Marketing will be preferred
• Min 2-5 years of experience in Digital operations role
• Solid MS Office skills – PowerPoint, Excel, Word.
• Strong project and product management expertise.
• Excellent interpersonal, communication and presentation skills.
• Strong analytical and creative problem solving skills.
• Ability to effectively organize, analyze, and present data with solutions.

• Oversee the sales process to attract new clients.
• Work with senior team members to identify and manage risks.
• Maintain fruitful relationships with clients and address their needs effectively.
• Research and identify new market opportunities.
• Prepare and deliver pitches to potential investors.
• Foster a collaborative environment within the organization

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

• Generate new revenue, identify and close new opportunities, aggressively prospect for new accounts and follow up leads.

• Identify potential clients in the target market and complete appropriate research on the prospective client’s business and equipment needs
• Generate lead by cold/Hot calls, Emails, social media and client visits
• Collaborating with management on sales goals, planning, and forecasting; maintaining short- and long-term business development plans. 
• Constantly gather and report insights on competitive activity, market shift, opportunities and threats.
• Create new Revenue generation ideas and techniques.
• Build strategy to explore new areas to expand Background Check and verification services
• Should be responsible for complete sales cycle from initiation to closure.