Qureos Mentor

Entytle

<div><div><div><div>Submit Your Resume Here</div>
</div>
<p>jobs-pune@entytle.com</p>
<p>We are seeking a <b>Full Stack Engineer</b> with 5-10 years of experience, who can design, build, and maintain scalable applications. The ideal candidate is strong in <b>Java, AWS, Spring, Hibernate, PostgreSQL, React, Data Structures, System Design, Microservices, and Agile Development</b>. Exposure to <b>Python and AI/ML</b> is a plus. Candidates should be <b>quick learners</b>, comfortable with <b>AI-assisted coding tools</b> (Cursor, GitHub Copilot), and productive from <b>Day 1</b>.</p>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3>
<ul><li>Design &amp; develop scalable full-stack applications.</li>
<li>Architect <b>system designs</b> and implements <b>microservices</b> for high performance &amp; reliability.</li>
<li>Build &amp; maintain backend services with <b>Java, Spring Boot, Hibernate</b>.</li>
<li>Develop <b>RESTful APIs</b> and integrate with <b>AWS cloud services</b>.</li>
<li>Design &amp; optimize databases (<b>PostgreSQL</b>).</li>
<li>Build modern, responsive UIs with <b>React</b>.</li>
<li>Apply strong knowledge of <b>Data Structures &amp; Algorithms</b> for efficient solutions.</li>
<li>Work in an <b>Agile development environment</b>, delivering high-quality features iteratively.</li>
<li>Leverage <b>AI coding tools</b> (Cursor, Copilot) for accelerated development.</li>
</ul><h3 class="jobSectionHeader"><b>Must-Have Skills:</b></h3>
<ul><li><b>Java, Spring Boot, Hibernate</b></li>
<li><b>AWS (cloud services &amp; deployments)</b></li>
<li><b>PostgreSQL</b></li>
<li><b>React (front-end)</b></li>
<li><b>Data Structures &amp; Algorithms</b></li>
<li><b>System Design &amp; Microservices</b></li>
<li><b>Agile Development practices</b></li>
<li>Experience with <b>CI/CD, Git</b></li>
<li>Strong problem-solving &amp; debugging skills</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b><b>
</b></h3><ul><li><b>Python</b> exposure</li>
<li>Understanding of <b>AI/ML concepts</b></li>
<li><b>Docker, Kubernetes</b> knowledge</li>
</ul><h3 class="jobSectionHeader"><b>What We Offer</b></h3>
<ul><li>Work on cutting-edge <b>AI + cloud-native applications</b></li>
<li>Access to latest <b>AI-powered developer tools</b></li>
<li>Collaborative, flexible work environment</li>
<li>Growth opportunities in <b>AI/ML, cloud, full-stack</b> engineering</li>
</ul> <h3 class="jobSectionHeader"><b>About Entytle:</b></h3>
<p>Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India.</p>
<div><div>Submit Your Resume Here</div>
</div>
</div><p></p><div><div><div><div><b>Job Category: </b>Engineering
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Pune,India</div></div></div></div></div>

Full Stack Engineer

<div><div><div><div>Submit Your Resume Here</div>
</div>
<p>jobs-pune@entytle.com</p>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3>
<ul><li>Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions that leverage the latest statistical and machine learning techniques.</li>
<li>Work collaboratively with the rest of the data science team, data engineers, developers, and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques.</li>
<li>Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges.</li>
<li>Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain.</li>
<li>Use best practices in applying and deploying data science at scale..</li>
</ul><h3 class="jobSectionHeader"><b>Competencies:</b></h3>
<ul><li>Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers.</li>
<li>Proficiency in data analysis and programming languages such as SQL, Python, and R.</li>
<li>5+ years of hands-on experience in machine learning, statistics, or experiment design.</li>
<li>Master&rsquo;s Degree required in Statistics, Mathematics, Econometrics, Operations Research,</li>
<li>Computer Science, Physics, or a related field with a focus on data analysis.</li>
<li>Expertise in machine learning, statistics, and data analysis. Must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of problems.</li>
<li>Solid grasp of probability, statistical or mathematical modeling, with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus.</li>
<li>Demonstrated experience in applying machine learning to real-world problems.</li>
<li>Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS.</li>
<li>Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus</li>
</ul><h3 class="jobSectionHeader"><b>Must Have Skills</b></h3>
<ul><li>Machine Learning, Master&rsquo;s degree required in statistics, Mathematics, econometrics</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3>
<ul><li>Cloud computing platform</li>
</ul> <h3 class="jobSectionHeader"><b>About Entytle:</b></h3>
<p>Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India.</p>
<div><div>Submit Your Resume Here</div>
</div>
</div><p></p><div><div><div><div><b>Job Category: </b>Data Scientist
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Pune,India</div></div></div></div></div>

Data Scientist

Join Entytle and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Entytle

ABOUT_COMPANY

Full Stack Engineer

Data Scientist