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Pivotroots Digital is urgently looking for Magento Developer Role. 
Company Website - https://www.pivotroots.com/
Skills and Qualifications

• Solid understanding of Magento and ecommerce technologies
• Experience in working in Magento 2.x
• Performance improvement and Security updates for Magento
• Proficient in the UI, HTML, JavaScript usage
• Strong understanding of PHP back-end development
• Strong knowledge of MySQL database
• Good to have knowledge of WordPress
• Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
• Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
• Proficient understanding of code versioning tools such as GIT

Position: Presales Consultant

Location: Andheri, Mumbai (May involve travel or client site placements)

Experience: 2-5 years

CTC: Up to 11 LPA

About the Role:

We’re seeking a Presales Consultant with a strong background in the insurance domain to support our sales team. You’ll play a critical role in demonstrating our solutions, managing the bid process, and collaborating with clients to understand their needs and craft tailored proposals.

Key Responsibilities:

• Support the sales team through the entire sales journey and lead qualification.
• Conduct product demos and participate in client discussions on functional and technical solutions.
• Lead proof-of-concept workshops with customers and partners.
• Design compelling business proposals, RFPs/RFIs, and cost estimations.
• Serve as a subject matter expert on the C2L BIZ suite of solutions.

What We’re Looking For:

• 2-5 years of experience in the insurance industry (Life or General Insurance).
• Ability to understand technical product specifications and work with tech teams.
• Great communication skills and proficiency in Microsoft Office.
• Male candidates only, due to field visit requirements.
• Educational Qualification: BE/MBA/MMS/PGDBA with first class throughout academics.

Why Join Us?

• Work with senior architects on transformative solutions.
• Opportunity to grow through certifications (e.g., FLMI, ALMI).
• Exposure to global insurance markets and best practices.

About the Role: LOOKING FOR QA ENGINEERS(ONLY FROM SAAS-BASED COMPANIES)

You will help the team in building an awesome testing platform that can be leveraged by QA for testing the product for quality & stability.

You should have hands-on software development experience to design and implement test automation infrastructure. You will have to implement test automation systems and provide seamless integration with DevOps infrastructure. You should have strong interpersonal and communication skills.

Location = Mumbai

Responsibilities:

Implementation of test automation for Web Interface and Mobile Applications

Implement functional and non-functional API Testing or integration testing

Carry out Load testing and Performance testing as required

Integration of test suite and testing tools with DevOps Infrastructure and CI/CD pipelines

Assist the QA team to be able to diagnose the test case failures

Follow agile test methodology for timely delivery of test case automation

Manage the upkeep of existing Automation Regression suite based on changes

Requirements:

Bachelor's degree in Computer Science, Information Technology or related field

0 to 1 year of relevant experience in the testing domain

Self-driven with the ability to work independently and carry out assignments as required.

Knowledge of Selenium or Appium framework with JAVA is a must-have

Programming ability in JAVA

Exposure to API testing, load testing, system integration will be a big plus

Experience in working on Linux/Unix OS and cloud environment such as AWS

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics