Responsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
- Full cycle of building machine learning solutions,
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem
- Experience using the full open source programming tools and utilities
- Experience in working in end-to-end data science project implementation.
- 2+ years of experience with development and deployment of Machine Learning applications
- 2+ years of experience with NLP approaches in a production setting
- Experience in building models using bagging and boosting algorithms
- Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
- Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
- Strong python skills following software engineering best practices
- Experience in using code versioning tools like GIT, bit bucket
- Experience in working in Agile projects
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
- Experience managing big data with efficient query program good to have
- Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
- Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience with Health care sector is preferred
- MS/M.Tech or PhD is a plus
About Statusneo
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Day Shift
Banking Domain
Job Description :
1. Candidate should have Strong SQL skills and manipulate large data sets in a database.
2. Advanced Excel proficiency including Pivot tables, lookup/hookup, graphs, etc.
3. Knowledge and experience in the Banking industry are preferred.
4. Top decile SQL skills are a MUST (Experience in Hive/Spark-SQL is strongly preferred)
5. Should possess a strong combination of analytical, technical, and business savvy.
6. Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously.Must be comfortable in ambiguity and constantly evolving environment
Key Responsibilities :
1. Will be the point of contact for reporting/data management needs and will be responsible to drive complex data analysis and propose improvement opportunities in existing tools and reports.
2. The Business Analyst will be responsible to establish best practices in data management, data visualization, and report distribution.
3. Understanding client requirements and converting them into technical and business deliverables.
4. Leverage data warehouse and other data sources to answer business queries.
5. Doing the ad-hoc analysis and presenting results in a clear manner.
Role Description
As a Senior QA Engineer, you will develop and execute exploratory manual and
automated tests to ensure product quality on both iOS and Android devices. You will
read, review, run test cases and capture screenshots of successful or unsuccessful
test activities for in-house mobile applications, web applications and operations
systems enhancements. You get to work with some of the best minds in the industry
at a place where opportunity lurks everywhere and in everything.
• Analysing and evaluating functional and technical requirements to determine
the scope of the functionality to be covered by testing.
• Responsible for designing and executing tests, reporting and tracking defects,
responding to inquiries, supporting UAT and other tasks pertaining to the QA
team.
• Analyse test results, leverage troubleshooting skills to assist with defining root
cause, and perform re-testing after defects are addressed.
Responsibilities
Your responsibilities are as follows.
• Review requirements, specifications and technical design documents to
provide timely and meaningful feedback
• Create detailed, comprehensive and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Design, develop and execute automation scripts using open-source tools
• Identify, record, document thoroughly and track bugs
• Perform thorough regression testing when bugs are resolved
• Develop and apply testing processes for new and existing products to meet
client needs
• Liaise with internal teams (For e.g. developers, project and product managers)
to identify system requirements
• Monitor debugging process results
• Investigate the causes of non-conforming software and train users to
implement solutions
• Track quality assurance metrics, like defect densities and open defect counts
• Stay up-to-date with new testing tools and test strategies
Required Qualifications
We are looking for individuals who are curious, excited about learning, and navigating
through the uncertainties and complexities that are associated with a growing
company. Some qualifications that we think would help you thrive in this role are:
• Minimum 5 Years of experience in a Mobile Application Testing Space (Hybrid
is preferred)
• Proven work experience in software development
• Proven work experience in software quality assurance
• Strong knowledge of software QA methodologies, tools and processes
• Experience in writing clear, concise and comprehensive test plans and test
cases
• Hands-on experience with both white box and black box testing
• Experience working in an Agile/Scrum development process
• Bachelor/Masters of CS/IT Engineering, BCA/MCA, B Sc/M Sc in CS/IT
Preferred Qualifications
• Developing automation test scripts for mobile application
• Ability to understand financial and operational modules, business processes,
and underlying table structures
• Familiarity with online banking applications: Web or mobile platform based
• Experience with performance and/or security testing is a plus
• Knowledge of bug tracking software, preferably JIRA is a plus
• Knowledge of automation testing using Selenium is a plus
• Ability to work independently with minimal supervision
• Solid understanding of QA methodology and practices, within SDLC
• Intrigued by technology and new applications
• MS Office skills
• Effective communicator
• Team player
Company Profile:
A global industry leader in the manufacturing industry for over 90 years, we are dedicated to keeping the world in motion across a diverse range of sectors, from conveyor systems to container cranes. Our cutting-edge drive technology is a cornerstone of modern mechanical and plant engineering, and we continue to shape the trajectory of this field both now and in the future.
Key Facts:
The workforce of over 21,000 worldwide, including 900 engineers and 600 researchers, as well as a significant number of trainees and development professionals. Achieved sales totalling 4.2 billion Euros, reflecting our substantial impact on the industry. Our commitment extends beyond business, as we actively prioritise inclusion, diversity, fair partnerships, and responsible resource utilization. With a presence in 54 countries, we maintain 17 production facilities and 88 Drive Technology Centers across five continents, ensuring rapid response, short delivery times, and personalized on-site assistance to our customers.
Responsibilities:
- Conduct on-site service visits for the commissioning of inverters.
- Provide online service support to customers and branch engineers via telephonic conversations for electronics service and commissioning.
- Perform on-site service for SEW's electronics products, effectively diagnosing and resolving issues.
- Maintain thorough service documentation for all conducted services.
- Act as the primary contact for Germany, providing application and technical support for electronics products in collaboration with the Manager of D&A.
- Contribute to application engineering by developing new applications for complete drive management, in coordination with the Manager of D&A.
- Assist the repair department in critical or crisis situations.
- Offer technical support for switching cabinets through local vendors as per customer requirements.
- Ensure the maintenance and proper functioning of the Service centre, tools, equipment, and timely calibration.
- Provide training on service and application development for both customers and SEW employees.
- Maintain the Quality Manual System.
Authorities:
- Plan and execute Electronics Service Jobs on-site based on priority, jointly with the Manager of D&A.
- Make decisions regarding component replacement during job execution, in collaboration with the Manager of D&A.
- Possess authority to certify warranty cases on-site or in-house, working jointly with the Manager of D&A.
Dimensions:
- Handle approximately 40 service jobs per year.
- Contribute to the execution of 8 to 10 new application projects annually.
Profile:
- Education: Bachelor's degree in Electrical / Electronics from a recognized institute.
- Experience: Minimum 2-3 years in Drives & Automation.
- Skills: Proficient in servicing or maintaining drives and automation products. Good communication skills would be an added advantage.
What We Offer:
- An open and transparent working culture with clearly defined job responsibilities.
- Opportunities for outstanding employee development through structured training and mentoring.
- Personalized training and support from experienced managers and colleagues.
- State-of-the-art facilities and working conditions, utilising cutting-edge technology.
- A responsible organization committed to energy efficiency, social responsibility, and environmental protection.
Experience: 2+ Years
Key Skills:
- Programming Languages: C# or VB.NET
- Server-Side Technologies: ASP.NET / MVC
- Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
- Database: SQL Server
Location: Navi Mumbai, Mumbai, Noida, Bengaluru, Hyderabad, Chennai, Gurugram, surat, Bhopal
- Plan, architect, integrate, and develop back-end and database driven features using the Python language and frameworks (Flask/ Falcon, MongoDB ).
- Create decoupled, interactive web UIs using JavaScript (Angular, jQuery)
- Aid in the development and ongoing maintenance of our DevOps platform (Ansible)
- Provide technical advice and recommendations for language and software choices.
- Develop code that is cross-browser and cross-platform friendly
- Collaborate with project stakeholders to ensure all requirements are met
- Evaluate technologies and manage technical planning
- Support and ongoing development for existing projects
- Provide clean code and proper documentation for each project
- Fix bugs and resolve ongoing issues
- Strong writing and speaking skills (English)
• Responsibilities:
o Should be able to work with API, shards etc in Elasticsearch.
o Write parser in Logstash
o Create Dashboards in Kibana
• Mandatory Experience.
o Must have very good understanding of Log Analytics
o Hands on experience in Elasticsearch, logstash & Kibana should be at expert level
o Elasticsearch : Should be able to write Kibana API
o Logstash : Should be able to write parsers.
o Kibana : Create different visualization and dashboards according to the Client needs
o Scripts : Should be able to write scripts in linux.
Basic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.
Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
- Market research, understanding the competitive landscape and tailoring the customer communication accordingly
- Lead generation, customer qualification, Demos and achieving sales closure
- Maintaining the customer interactions on Fresh Sales CRM
- Meeting Quarterly & Annual Revenue Targets
- Total 0-2 year of experience
- Prior experience in selling SaaS (Software as a Service) solution or subscription-based product will be a definite plus
- Excellent written and verbal communication skills.
- Well versed with tools to prepare engaging Business presentations
- Strong knowledge of using LinkedIn and other social media platforms to reach out to prospects
- Self driven