Solytics Partners Reviews by Employees

Consultant

Job Overview : We are seeking a highly skilled and experienced Senior Test Engineer to join our quality assurance team. The ideal candidate will possess strong programming skills in Python, coupled with extensive experience in automated testing across UI, API, and database layers. You will be instrumental in designing, developing, and executing robust test automation frameworks, ensuring the high quality and reliability of our software products. Responsibilities : - Design, develop, and maintain automated test scripts using Python with strong Object-Oriented Programming (OOP) concepts. - Implement Behavior-Driven Development (BDD) tests using the Behave framework. - Develop and maintain UI automation tests using Selenium WebDriver. - Perform API testing using tools like Postman or SoapUI, ensuring the quality and functionality of backend services. - Conduct database validation and write complex SQL queries for data integrity and test data management. - Integrate automated tests into the CI/CD pipeline using tools like Jenkins or CircleCI, ensuring continuous testing and rapid feedback. - Utilize Git for version control, managing test code repositories and collaborating effectively with development teams. - Apply strong knowledge of HTTP, REST, XML, and JSON for effective API testing and data manipulation. - Work with Jira, TestRail, or other defect and test management tools to track bugs, manage test cases, and report on testing progress. - Utilize JMeter for performance and load testing, identifying potential bottlenecks and ensuring application scalability. - Participate in all phases of the software development life cycle, from requirements analysis to deployment and post-release validation. - Collaborate closely with development, product, and other QA teams to ensure comprehensive test coverage and high product quality. - Mentor junior test engineers and contribute to the continuous improvement of testing processes and methodologies. Requirements : - 5+ years of experience as a Test Engineer with a strong focus on test automation. - Strong programming skills in Python with solid OOP concepts. - Hands-on experience with the Behave framework for BDD testing. - Proven expertise with Selenium WebDriver for UI automation. - Experience with API testing using Postman or SoapUI. - Proficiency in SQL and database validation. - Familiarity with CI/CD tools like Jenkins or CircleCI. - Experience using Git for version control. - Solid knowledge of HTTP, REST, XML, and JSON. - Exposure to Jira, TestRail, or other defect/test management tools. - Familiarity with JMeter for performance testing. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Bachelor's degree in Computer Science, Engineering, or a related fieldor equivalent practical experience.

Pune

Solytics Partners - Senior Test Engineer - Python/Selenium (5-7 yrs)

Position : Data Scientist Job Description : We are seeking a highly skilled and innovative Data Scientist with a strong passion for leveraging cutting-edge Machine Learning, Deep Learning, and Generative AI technologies to solve complex business problems. The ideal candidate will possess deep expertise in developing and deploying AI solutions, particularly in the realm of Natural Language Processing, and will be proficient in a wide array of technical tools and platforms. This role requires a blend of strong analytical capabilities, expert programming skills, and the ability to collaborate effectively in a fast-paced, distributed environment. Key Responsibilities : - Develop, implement, and deploy advanced Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) solutions from concept to production. - Design and build robust Natural Language Processing (NLP) solutions, leveraging state-of-the-art deep learning architectures and transformer models (e.g., BERT, GPT, T5). - Write production-level Python code, including developing APIs using frameworks like FastAPI and Streamlit, and ensure high code quality and maintainability. - Work effectively within Linux environments, utilizing shell scripting for automation and system management tasks. - Interact with and retrieve data from various SQL ecosystems and data retrieval systems like Solr using Python. - Apply strong statistical modeling knowledge and techniques to analyze complex datasets, extract meaningful insights, and inform model development. - Collaborate with cross-functional teams of engineers, product designers, and other data scientists to translate business requirements into technical solutions. - Champion emerging technologies and AI trends, continuously seeking opportunities for innovation and improvement in existing and new solutions. - Manage multiple projects concurrently, prioritize tasks independently, and thrive in a dynamic, distributed technical environment. Required Technical and Professional Expertise : - Expertise in developing Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) solutions, including hands-on experience with transformer models (e.g., BERT, GPT, T5). - Proficiency in developing Natural Language Processing (NLP) solutions, leveraging state-of-the-art deep learning architectures. - Expert-level knowledge of Python programming, along with extensive experience in production-level Python scripting, API development, and clean coding practices. - Experience with Python-based web frameworks such as FastAPI, Streamlit, and other relevant libraries. - Proven experience in working on Linux environments, including shell scripting. - Hands-on experience with SQL ecosystems and proficiency in working with data retrieval systems like Solr in Python. - Strong knowledge of statistical modeling and the ability to apply statistical techniques to analyze datasets effectively. - Experience with Cloud Native technologies from Azure and AWS, including services such as Cognitive Search, Form Recognizer, and related AI offerings. - Solid understanding of computer science fundamentals, including data structures, algorithms, operating systems, and databases. - Good communication and organizational skills with a strong focus on detail, especially when working across teams of engineers, data scientists, and product designers. - Excellent problem-solving skills, with a strong attention to detail and the ability to thrive in a fast-paced, distributed technical environment. - Passionate about emerging technologies and AI trends, with a strong drive for continuous innovation and improvement. - Self-motivated, able to manage priorities independently while working on multiple projects concurrently.

Solytics Partners - Data Scientist - Machine Learning/Machine Learning (3-5 yrs)

Responsibilities : - Design, develop, and maintain automated test frameworks and scripts for various application types (web, mobile, API). - Identify and prioritize test automation opportunities based on risk, complexity, and business impact. - Execute automated test suites, analyze test results, and report defects in a clear and concise manner. - Collaborate with developers, QA analysts, and other stakeholders to integrate automation into the CI/CD pipeline. - Develop and maintain test plans, test cases, and test data for automated testing. - Evaluate and select appropriate automation tools and technologies for different testing needs. - Contribute to the improvement of QA processes and best practices. - Troubleshoot and resolve issues related to test automation frameworks and scripts. - Stay up-to-date with the latest trends and technologies in test automation. Technical Skills & Qualifications : - Bachelor's degree in Computer Science or a related field. - [Specify] years of experience in software quality assurance and test automation. - Proficiency in at least one programming language (Java, Python, JavaScript). - Hands-on experience with test automation frameworks (Selenium, Appium, Cypress, Playwright). - Experience with API testing tools (Postman, Rest-Assured). - Knowledge of CI/CD tools (Jenkins, GitLab CI, Azure DevOps). - Strong understanding of software testing principles and methodologies. - Experience with version control systems (Git). - Excellent analytical and problem-solving skills. - Strong communication and collaboration skills. Preferred Skills : - Experience with performance testing tools (JMeter, LoadRunner). - Experience with mobile testing frameworks. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with containerization (Docker). - Familiarity with Agile development methodologies.

Mumbai

Solytics Partners - Quality Assurance Automation Engineer - Java/Selenium (3-5 yrs)

About Us : Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it's solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. About the Role : We are looking for a Data Scientist with 4-8 years of experience to join our innovative team. In this role, you will focus on AI model development, data analysis, and deployment, contributing to advanced legal technology solutions. You'll have the opportunity to work on impactful projects that enhance business performance, streamline operations, and drive technological innovation. Key Responsibilities : - Design, develop, and refine AI models, incorporating user feedback and domain expertise for continuous improvement. - Collaborate with cross-functional teams to facilitate seamless AI solution deployment and integration. - Conduct data analysis to extract actionable insights that support decision-making. - Manage and maintain databases and data repositories efficiently. - Stay updated with the latest trends and advancements in AI, machine learning, and data science. - Document data collection processes, analytical methods, and technical workflows. Required Skills & Qualifications : - Strong proficiency in Python and its data science ecosystem. - Hands-on experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). - Expertise in LangChain or similar frameworks for generative AI development. - Experience in building FastAPIs to integrate AI models with APIs. - Solid understanding of MLflow for tracking and logging model development. - Proven ability to develop and maintain machine learning (ML) solutions. - Strong background in Natural Language Processing (NLP). - Experience with Azure AI Cloud Services or similar cloud-based AI platforms. - Proficiency in SQL and working with the Solr framework using Python.

Data Scientist - Artificial Intelligence Model (4-8 yrs)

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