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Proficiency with Service Now Implementation, ITSM, CSM, Integration Hub / API integration, Java Script, UI Builder, App Engine, Scripting, Flow Designer with 4-5 yrs for service now development experience. 

Experience 

 8-9 years of experience in Software Development Methodologies.  

 Experience with ServiceNow HR module development and support. 

 Working in a cloud-enabled environment is desirable 

 Experience in supporting discovery and service mapping in ServiceNow 

 ITIL certified 

 ServiceNow System Administrator certified 

 ServiceNow HR certified 

 A professional with Implementation, Configuration, and all types of Development in

ServiceNow and Requirement gathering from customer, designing the technical solution and

implementation documents

Essential capabilities 

 Sound knowledge of delivery methodologies and working experience in Agile delivery 

 Competent stakeholder management skills, with the ability to apply the fundamentals of

Change Management throughout the delivery lifecycle 

 Effective communication skills with the ability to synthetise data and communicate findings 

 ITSM Best Practice Knowledge/Incident, Problem, Change, SRM, SLM, HR and Asset

Management Specialist 

 ITOM specialist, process strategy & framework, tool implementation 

 API Integration

 Workflow design expertise

 use of BR,UI Policies, Client Script, Script Include etc fulfill the requirement raised by

legal team.

 Create and Manage Service Catalog, Workflows, SLA's, Reporting etc.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

You will be working on AI/IOT cloud and responsible for architecture and hands on coding. 
We need someone who can engage in conversations about technical architecture with internal teams and external customers. Write well designed, testable, efficient code by using the best software.

We are looking for a Senior full-stack preferred with a demonstrated track

record of developing and maintaining production services, innovative thinking, and technical

excellence. As a senior engineer, you will be responsible for the end-to-end ownership of

systems, from conception to launch and maintenance. You should have a solid understanding of

software development lifecycle and software design principles.

.

This person MUST have:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong Django and ReactJS experience
• Advanced knowledge of Python and relational databases
• Understanding of APIs, pagination, searching, sorting 
• Experience with building, modifying and extending API endpoints (REST or

GraphQL) for data retrieval and persistence.

• Creating high performance UI etc.
• Experience with SQL and NOSQL databases

• Experience with the full software development life cycle, including requirements

collection, design, implementation, testing, and operational support.

• Experience with scrum or other agile software development methodology.
• Excellent verbal and written communication, teamwork, decision making and

influencing skills.

Experience:

• Min 3 year experience
• Startup experience is a must. 

Location

• Remotely, anywhere in India

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.

About 4-5 years of total experience of recent full life cycle IT and non-IT recruitment, and some amount of HR and general administration experience such as coordinating, scheduling, tracking, collecting and organising documents, etc.

• Own the responsibility for talent acquisition (internal as well as Singapore-based), including job posting, collating applications, and tracking candidate status to closure
• Constantly look to find new ways of identifying/sourcing technical and recruitment talent
• Screen and shortlist candidates for interviewing.
• Prepare offer letters and stay in touch with upcoming joiners
• Help new joiners onboard, identify any required facilities, set them up on email, e-phones and intranet
• Track and close (or coordinate to close) support requests pertaining to HR, desktops, payroll, leave, etc.
• Assist the executive management in occasional administrative or organisational tasks as requested. These may include gathering and collating data, organising documents, etc.
• Attention to detail, an organised and systematic approach to working, and good oral and written communication skills are non-negotiable.
• Ability to maintain smooth professional working relationships with employees, other internal and external support roles, vendors, etc.
• A passion for getting things right, getting results, employment branding, selection, and quality of candidates and associates experience

• Should be a Backend Developer - Python only
• Should be MCA/B.Tech IT
• Should have Database Knowledge
• Should have DJango Knowledge
• Writing effective, scalable code
• Good Communication