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AI/ML ENgineer Hybrid(Pune) Full time Overview We are looking for a skilled AI/ML Engineer to join our team and contribute to the development and implementation of advanced artificial intelligence and machine learning models. The ideal candidate will have a strong background in AI/ML techniques, a passion for solving complex problems, and experience working with large datasets. Key Responsibilities Model Development and Deployment Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Optimize models for performance, scalability, and accuracy. Data Analysis and Preprocessing Collect, clean, and preprocess large datasets for training and evaluation. Perform exploratory data analysis to identify patterns and insights. Algorithm Selection and Implementation Select appropriate machine learning algorithms based on project requirements and data characteristics. Implement and fine-tune algorithms using frameworks such as TensorFlow, PyTorch, and scikit-learn. Research and Innovation Stay updated with the latest research and advancements in AI/ML technologies. Experiment with new techniques and approaches to improve existing models. Collaborative Development Work closely with data scientists, software engineers, and domain experts to integrate AI/ML solutions into products and services. Participate in code reviews, knowledge sharing, and collaborative problem-solving. Performance Monitoring and Maintenance Monitor the performance of deployed models and ensure their reliability and accuracy. Continuously update models to adapt to new data and changing requirements. Required Skills and Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Experience : 2+ years of experience in AI/ML engineering or a related role. Technical Skills : Proficiency in programming languages such as Python, R, and Java. Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, scikit-learn, and Keras. Strong understanding of statistical methods and data analysis techniques. Data Skills : Experience with data preprocessing, feature engineering, and model evaluation. Analytical Skills : Strong analytical and problem-solving abilities. Communication Skills : Excellent verbal and written communication skills. Collaboration : Ability to work effectively in a collaborative, team-oriented environment. Preferred Qualifications Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with big data technologies like Hadoop, Spark, and SQL. Knowledge of natural language processing (NLP) and computer vision techniques. Understanding of software development best practices, including version control and CI/CD pipelines. Job Type: Full-time Pay: ₹500,000.06 - ₹700,000.30 per year Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Food provided Health insurance Internet reimbursement Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Application Question(s): what is your current ctc? what is your expected ctc? what is your notice period ? we are hiring for maharashtra candidate who can come to office for onsite interview and our office location is *une ? Location: Pune, Maharashtra (Required) Work Location: In person

About Motadata Motadata is a renowned IT monitoring and management software company that has been transforming how businesses manage their ITOps since its inception. Our vision is to revolutionize the way organizations extract valuable insights from their IT networks. Bootstrapped since inception, Motadata has built up a formidable product suite comprising cutting-edge solutions, empowering enterprises to make informed decisions and optimize their IT infrastructure. As a market leader, we take pride in our ability to collect and analyze data from various sources, in any format, providing a unified view of IT monitoring data. Position Overview We are seeking a Senior Machine Learning Engineer to join our team, focused on enhancing our AIOps and IT Service Management (ITSM) product through the integration of cutting-edge AI/ML features and functionality. As part of our innovative approach to revolutionizing the IT industry, you will play a pivotal role in leveraging data analysis techniques and advanced machine learning algorithms to drive meaningful insights and optimize our product's performance. With a particular emphasis on end-to-end machine learning lifecycle management and MLOps, you will collaborate with cross-functional teams to develop, deploy, and continuously improve AI-driven solutions tailored to our customers' needs. From semantic search and AI chatbots to root cause analysis based on metrics, logs, and traces, you will have the opportunity to tackle diverse challenges and shape the future of intelligent IT operations. Role & Responsibility Lead the end-to-end machine learning lifecycle, understand the business problem statement, convert into ML problem statement, data acquisition, exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring (MLOps). Should be able to lead the team of ML Engineers to solve the business problem and get it implemented in the product, QA validated and improvise based on the feedback from the customer. Collaborate with product managers to understand business needs and translate them into technical requirements for AI/ML solutions. Design, develop, and implement machine learning algorithms and models, including but not limited to statistics, regression, classification, clustering, and transformer-based architectures. Preprocess and analyze large datasets to extract meaningful insights and prepare data for model training. Build and optimize machine learning pipelines for model training and inference using relevant frameworks. Fine-tune existing models and/or train custom models to address specific use cases. Enhance the accuracy and performance of existing AI/ML models through monitoring, iterative refinement and optimization techniques. Collaborate closely with cross-functional teams to integrate AI/ML features seamlessly into our product, ensuring scalability, reliability, and maintainability. Document your work clearly and concisely for future reference and knowledge sharing within the team. Stay ahead of latest developments in machine learning research and technology and evaluate their potential applicability to our product roadmap. Skills And Qualifications Bachelor's or higher degree in Computer Science, Engineering, Mathematics, or related field. Minimum 5+ years of experience as a Machine Learning Engineer or similar role. Proficiency in data analysis techniques and tools to derive actionable insights from complex datasets. Solid understanding and practical experience with machine learning algorithms and techniques, including statistics, regression, classification, clustering, and transformer-based models. Hands-on experience with end-to-end machine learning lifecycle management and MLOps practices. Proficiency in programming languages such as Python and familiarity with at least one of the following : Java,Golang, .NET, Rust. Experience with machine learning frameworks/libraries (e.g. , TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g. , MLflow, Kubeflow). Experience with ML.NET and other machine learning frameworks. Familiarity with natural language processing (NLP) techniques and tools. Excellent communication and teamwork skills, with the ability to effectively convey complex technical concepts to diverse audiences. Proven track record of delivering high-quality, scalable machine learning solutions in a production environment. (ref:hirist.tech)

Key Responsibilities Model Design & Implementation : Architect and develop deep learning solutions (e.g., UNet, 3D CNN) for segmentation, classification, and anomaly detection in medical images. Data Coordination : Partner with hospitals and radiologists to source, preprocess, and annotate large-scale imaging datasets (e.g., DICOM)-ensuring high-quality training data. Architecture Evaluation : Tailor neural network architectures to specific imaging applications,optimize for performance and interpretability. Algorithm Optimization : Implement robust ML techniques for CT/MRI analysis, includingartifact correction, noise suppression, and feature extraction. Required Skills & Qualifications Experience : 5+ years in ML/deep learning model development at the enterprise level; 3+years focused on medical image analysis (CT, MRI, radiological imaging). Programming Skills : Expert in Python, including data and image processing libraries (NumPy,pandas, OpenCV), and segmentation workflows. DL Frameworks : Proficiency with PyTorch, TensorFlow, or Keras for model development an experimentation. (ref:hirist.tech)

We are looking for an AI/ML Engineer with expertise in Text-to-Speech (TTS) systems to train and optimize a Glow-TTS model for Indian languages, starting with Telugu/ other indian languages. The goal is to develop a high-quality, natural-sounding TTS system using datasets like AI4Bharat or other relevant sources. Selected Intern's Day-to-day Responsibilities Include Dataset preparation & preprocessing: Identify and curate high-quality Telugu or other Indian languages speech datasets (AI4Bharat, IndicTTS, or custom datasets) Clean, normalize,e and preprocess text and audio data (phoneme alignment, noise removal, sample rate standardization) Model training & optimization: Fine-tune GlowTTS or Coqui-TTS (or comparable neural TTS architecture) for Telugu/other Indian language speech synthesis Ensure loss convergence by tuning hyperparameters (learning rate, batch size, duration predictors) Experiment with transfer learning from existing multilingual TTS models (if applicable) GPU training & performance tuning (good to have): Optimize training for GPU efficiency (NVIDIA CUDA, mixed precision) Monitor validation loss, attention alignments, and speech quality (MOS testing) Debug training instability (vanishing gradients, overfitting, etc.) Deployment & evaluation: Integrate trained model into an inference pipeline (ONNX, TensorRT, or PyTorch runtime) Benchmark latency, speech quality, and speaker similarity against existing TTS solutions About Company: Coinearth Technologies Pvt Ltd is a dynamic and innovative product-based company established in 2017. While some public records indicate a later incorporation date of 2020, their official communication states their founding year as 2017, suggesting a period of initial development and strategic planning before formal registration. Based in Hyderabad, Telangana, India, the company specializes in building and deploying cutting-edge applications, particularly in the Web3 and fintech sectors. Core Focus: Product Development and Deployment Coinearth Technologies primarily operates as a product company, focusing on creating proprietary software solutions rather than offering traditional IT services. Their expertise lies in the entire lifecycle of app development, from conceptualization and design to robust deployment and ongoing maintenance.

Job Title: L3 SDE (AI/ML) Location: Arjan Garh, MG Road (Delhi) Job Type: Full-Time, On site Salary: Rs.30,000- 70,000 No. of Openings: 10 **IMMEDIATE JOINERS REQUIRED** About Us: Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning. Key Responsibilities: * Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems. * Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance. * Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models. * Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows. * Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities. * Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality. * Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies. Required Qualifications and Experience: * Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields. * Experience: 1 year of AI/ML development, with a proven track record of deploying AI solutions in a production environment. *IMMEDIATE JOINERS REQUIRED* Technical Skills requirement: Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras). Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP). Experience in integrating AI based solutions with web frameworks like Django, Flask. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team. Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. How to Apply: Drop your resume at hr@timbletech.com with Current Notice, Current CTC, Expected CTC

Role: Lead Generator Job Location : Ahmedabad, Gujarat Experience : 2 Years Roles and responsibilities : We are looking for a skilled Data Minor with 2 years of experience to support our lead generation and data analysis efforts. The ideal candidate should have strong expertise in data mining, lead generating, lead qualification, and market research . If you have a keen eye for detail and a passion for extracting valuable insights from data, we’d love to have you on our team! Key Responsibilities Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms . Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data . Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights. Create detailed reports and dashboards to present lead generation metrics and performance. Work closely with sales and marketing teams to align lead generation efforts with business goals. Apply knowledge of market trends in the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation. Qualifications and Requirements 1-2 years of experience in data mining, lead generation, or a related field . Proficiency in data mining tools and techniques . Strong analytical and problem-solving skills with attention to detail. Experience in generating and qualifying leads using data-driven methods . Ability to present data insights and lead generation results clearly and effectively. Bachelor’s degree in Data Science, Marketing, Business Analytics, or a related field . Excellent written and verbal communication skills . Benefits: Flexible schedule Performance bonus Career growth opportunities Collaborative and innovative work environment About Us Perigeon Software is a leading data-driven organization specializing in lead generation and market research . We focus on leveraging data insights to support sales and marketing teams in identifying high-potential opportunities. Be part of an innovative team and make an impact with your expertise! Job Type: Full-time Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Ambawadi, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Lead generation: 2 years (Preferred) Location: Ambawadi, Ahmedabad, Gujarat (Preferred) Shift availability: Day Shift (Required) Night Shift (Required) Overnight Shift (Required) Work Location: In person

Assistant Manager EXL/AM/1381018 Human ResourcesNoida Posted On 09 Jun 2025 End Date 24 Jul 2025 Required Experience 7 - 12 Years Basic Section Number Of Positions 1 Band B1 Band Name Assistant Manager Cost Code G100404 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 800000.0000 - 1100000.0000 Complexity Level Not Applicable Work Type Work From Office – Fully Working From EXL/ Client Offices Organisational Group Enabling Sub Group Human Resources Organization Human Resources LOB Insurance Academy SBU Capability Development Country India City Noida Center Noida - Centre 59 Skills Skill TRAINING & DEVELOPMENT LIFE INSURANCE EXCEL POWERPOINT POWER BI COMMUNICATION STAKE HOLDER MANAGMENT Minimum Qualification GRADUATE Certification No data available Job Description Basic Function This role is primarily responsible for designing and delivering high performing learning solutions, which align with & meet business needs and client expectations. This role is required to manage the team as well as the delivery of Preprocess and Certification Trainings to all EXL employees. The job also includes evaluating training feedback and providing recommendations to further enhance the effectiveness of trainings. The primary interactions would include coaching and mentoring of the trainers and periodic reporting of all the above to the Insurance Academy (IA)/Capability Development (CD) Lead. This role also involves designing and developing pre - process and /or specialized training modules after need assessments for all Processes at EXL. The role entails regular connect with Business units for domain/digital/functional upskilling requirements received and curation and conducting appropriate trainings, as applicable. Essential Functions Identifying the gaps between the desired state and the current state of knowledge and developing customized training curriculum that is scalable and provides EXL a competitive edge Training need analysis, researching, designing and developing content such as module outlines, presentations, trainer’s guide, participant’s guides and other training material Managing end to end roles and responsibilities of the team Designing training aids like activities, role plays, case studies, etc. in order to make the training session livelier and more interactive Ensuring that the quality of content is maintained as per the targets assigned and should be in accordance with internal standards Identification of appropriate methodology for the implementation of training Training and certification of trainers on the training modules Conducting insurance and professional development training programs Managing training material and content - regular reviews and updation Building PPTs and other material and participate in presentation to the client/ internal customers Provide guidance, direction, and training to instructional designers and trainers Conduct verification and re-verification of trainers in the department Participate in RFXs and Client visits Handle administrative tasks with respect to training & certification Undertake research for the purpose of creating value to the business and driving business results Convert research into knowledge and disseminate to the businesses Maintain regular touch points with Business units and share updates and cater to specific training needs Develop understanding of Digital deployment in Insurance domain and help conduct, facilitate upskilling sessions. Performance parameters Quality and accuracy of deliverables Efficiency and effectiveness (result-orientation) Training delivery and certification of trainers Adherence to internal standards Adherence to timelines Interaction with the clients/ customer at an appropriate level to ensure high levels of client satisfaction Employee satisfaction, people development and morale Good performance on any other function that may occur from time to time or as directed by the Supervisor Help assess and develop critical skills for specific roles and requirements per Business needs Regular assessment and update of training content and repository for aligned resources/vertical Primary Internal Interactions Employees, for the purpose of designing and developing training solutions Process managers and leaders, for the purpose of identifying the training needs and follow up IA_CD Team, for the purpose of up-skilling and certification of trainers Supervisor, for the purpose of reporting performance, escalation handling, clarifying concerns, and seeking feedback and support, settling issues left unresolved, monthly evaluation of performance, updating training curriculum, trainer certification and for ongoing audits and feedback Transitions and BHR SPOC for data requirements, as applicable Primary External Interactions Business/ Clients, for the purpose of seeking feedback and incorporating the same into training modules, as and when needed Institute partners of CD for managing and running programs Vendors, for any material/ service availed Skills Technical Skills Good knowledge of MS Office applications like – PowerPoint, MS Word, MS Excel, Outlook, MS Project and MS Visio Internet usage and email access Process Specific Skills Extensive knowledge of US Property & Casualty Insurance/L&A Insurance/F&A Insurance Content designing and development Ability to present the information in simple and easy to understand manner Ability to understand and comprehend quickly about unfamiliar industry Prioritizing customer needs Strong customer service focus Ability to do research and produce research documents Soft Skills (Minimum) Good verbal and written communication skills Good presentation skills Good research skills Flexibility and urgency to handle pressure Team work/ Managing Self / Adaptability Self-disciplined and result oriented Data gathering ability/ Eye for detail Ability to multi task Soft skills (Desired) Ability to approach problems logically Interpersonal Skills Feedback Skills Customer Service Focus Active listening skills Coaching and mentoring skills Education Requirements Graduate (in any stream) Domain training related training background with any relevant domain certifications (P&C domain - CPCU, AINS, AIC, AU etc. and/or L&A domain – LOMA 280/281, 290/291 and/or F&A domain (AIAF, IFRS etc.) Knowledge and understanding of vertical specific roles, functions, and work items in Insurance Work Experience Requirements Total work experience should be a minimum of 6-8 years of relevant work experience in conducting training and developing training curriculum Minimum 3-4 year in the current role/assignment Experience in implementing or background of digital is added advantage Workflow Workflow Type L&S-DA-Consulting

Title: Drupal Developer Experience: 4+ Yrs Notice Period: 15 Days or Less Location: Navi Mumbai Job Description Custom module development (Hooks, Plugin system, Form API, Entity API)REST / JSON:API / GraphQL in Drupal Drupal theming using Twig and preprocess functions Experience with user roles and access control Best practices in securing Drupal applications Familiarity with APIs and third-party integration. Preferred Experience with Rocket.Chat integration or other messaging tools Preferred Exposure to Solr/Elasticsearch using Drupal Search API Please DO NOT apply if your profile does not meet the job description or required qualifications. Irrelevant applications will not be considered. Share this opportunity to help it reach more job seekers! © Allime Tech Solutions Pvt. Ltd. All rights reserved. About Us At Allime Tech Solutions, we believe in empowering innovation through technology. Our mission is to connect talent with opportunity, creating a future where everyone can thrive. Driven by integrity and excellence, we are committed to providing tailored solutions for our clients.

Role: Lead Generator Job Location : Ahmedabad, Gujarat Experience : 2 Years Roles and responsibilities : We are looking for a skilled Data Minor with 2 years of experience to support our lead generation and data analysis efforts. The ideal candidate should have strong expertise in data mining, lead generating, lead qualification, and market research . If you have a keen eye for detail and a passion for extracting valuable insights from data, we’d love to have you on our team! Key Responsibilities Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms . Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data . Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights. Create detailed reports and dashboards to present lead generation metrics and performance. Work closely with sales and marketing teams to align lead generation efforts with business goals. Apply knowledge of market trends in the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation. Qualifications and Requirements 1-2 years of experience in data mining, lead generation, or a related field . Proficiency in data mining tools and techniques . Strong analytical and problem-solving skills with attention to detail. Experience in generating and qualifying leads using data-driven methods . Ability to present data insights and lead generation results clearly and effectively. Bachelor’s degree in Data Science, Marketing, Business Analytics, or a related field . Excellent written and verbal communication skills . Benefits: Flexible schedule Performance bonus Career growth opportunities Collaborative and innovative work environment About Us Perigeon Software is a leading data-driven organization specializing in lead generation and market research . We focus on leveraging data insights to support sales and marketing teams in identifying high-potential opportunities. Be part of an innovative team and make an impact with your expertise! Job Type: Full-time Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Ambawadi, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Lead generation: 2 years (Preferred) Location: Ambawadi, Ahmedabad, Gujarat (Preferred) Shift availability: Day Shift (Required) Night Shift (Required) Overnight Shift (Required) Work Location: In person

About The Role We are looking for a highly skilled Senior Power BI Developer with strong expertise in Python and SQL. The ideal candidate should be a data visualization expert with the ability to develop, optimize, and maintain Power BI dashboards, reports, and data models. This is an individual contributor role requiring excellent problem-solving skills and the ability to work independently. Key Responsibilities Build interactive and insightful dashboards, reports, and visualizations. Design and optimize data models using DAX and Power Query Write complex SQL queries, optimize database performance, and ensure seamless data integration. Utilize Python for advanced data processing, automation, and machine learning-driven analytics. Transform, clean, and preprocess large datasets for reporting purposes. Ensure efficiency in Power BI reports and data processing workflows. Collaborate with business teams to understand reporting needs and translate them into actionable insights. Required Skills & Qualifications 8+ years of hands-on experience in Power BI, Python, and SQL. Strong expertise in DAX, Power Query, and data modeling. Advanced SQL skills for writing complex queries and optimizing performance. Proficiency in Python for data manipulation and automation. Experience in handling large datasets and optimizing Power BI performance. Excellent analytical and problem-solving skills. Strong communication and stakeholder management skills. Ability to work independently in an individual contributor role. Must be an immediate joiner (ready to join within a week). Perks & Benefits Competitive Salary - We value your expertise! Flexible Work Options - Choose between office or remote work. Learning & Development - Upskill with cutting-edge technology training. Work-Life Balance - A culture that values employee well-being. Opportunity to Work on Exciting Projects - Solve real-world data challenges. (ref:hirist.tech)

Overview: We at Magure are looking for an experienced ML/AI Developer to lead the development and deployment of machine learning models that solve complex business challenges. As an ML/AI Developer, you will work on designing, building, and optimizing AI-driven applications. This is an exciting opportunity to be a part of a team that values innovation, precision, and results. Roles & Responsibilities: 1. Data Management & Preprocessing: Collect, clean, and preprocess large datasets for machine learning projects. Develop automated data pipelines and manage data quality checks. 2. Model Development & Optimization: Design and implement machine learning models for real-world applications. Train, evaluate, and optimize models to ensure high accuracy and performance. Utilize both supervised and unsupervised learning techniques and evaluate algorithm effectiveness. 3. Deployment & Monitoring: Deploy models in production and monitor performance for continuous improvement. Set up model tracking, A/B testing, and version control. 4. Algorithm Research & Innovation: Stay updated with cutting-edge AI/ML algorithms, tools, and best practices. Innovate and experiment with new algorithms to improve project outcomes. 5. Collaboration & Knowledge Sharing: Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver results. Participate in team meetings, contribute to brainstorming sessions, and support junior team members. 6. Documentation & Reporting: Document model development processes, results, and performance metrics. Prepare reports and presentations to showcase findings and recommendations to management. Qualifications: Education: Bachelor’s or master’s degree in computer science, Data Science, AI, or related field. Experience: Proven experience in ML/AI development with a track record of deploying successful models. Skills: Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit learn). Solid understanding of data structures, algorithms, and big data processing. Experience with cloud platforms like AWS, Azure, or GCP for ML operations. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer with 3-4 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine learning. Key Responsibilities: Develop and Implement AI/ML Models Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization and Evaluation * Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing and Feature Engineering * Collect, clean, and preprocess structured and unstructured data from various sources. * Engineer relevant features to improve model performance and interpretability. Collaboration and Communication * Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. * Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment and Monitoring * Deploy models to production using MLOps practices and tools (e.g., MLflow, Docker, Kubernetes). * Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current with AI/ML Advancements * Stay informed of current research, tools, and trends in AI and machine learning. * Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews and Best Practices * Participate in code reviews to ensure code quality, scalability, and adherence to best practices. * Promote knowledge sharing and mentoring within the development team. Qualifications · Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. · 3-4 years of experience in machine learning, artificial intelligence, or applied data science roles. Required Skills: · Strong programming skills in Python (preferred) and/or R. · Proficiency in ML libraries and frameworks, including: scikit-learn, XGBoost, LightGBM, TensorFlow or Keras, PyTorch · Skilled in data preprocessing and feature engineering, using; pandas, numpy, sklearn.preprocessing · Practical experience in deploying ML models into production environments using REST APIs and containers. · Familiarity with version control systems (e.g., Git) and containerization tools (e.g., Docker). · Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. · Understanding software development methodologies, especially Agile/Scrum. · Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Job Information Date Opened 06/23/2025 Job Type Full time Industry Technology State/Province Karnataka Zip/Postal Code 560048 City Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role We are seeking a motivated and talented Test Automation Engineer to join our Quality Assurance team. This role is ideal for individuals with a strong work ethic, a passion for learning, and expertise in designing automation solutions enhanced by AI. You’ll thrive in our collaborative, innovative environment, working on impactful projects to ensure the quality of cutting-edge web applications. The ideal candidate excels at managing multiple tasks, meeting deadlines, and leveraging tools like Playwright and Python , alongside AI techniques, to optimize testing efficiency and deliver precise, scalable results. While financial domain knowledge is a plus, it’s not required. Key Responsibilities Develop Automation Scripts: Create and maintain automated test scripts using Playwright with Python to validate web applications, ensuring cross-browser compatibility, dynamic content handling, and complex interactions like data grid sorting, filtering, and validation. Maintain Automation Suites: Manage and enhance automation suites for sanity checks, smoke testing, regression testing, and API testing, integrating with CI/CD pipelines (e.g., GitHub Actions, Jenkins). Data Management for Testing: Preprocess and manage large datasets using SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB ) databases to support AI models and test data integrity. Optimize Testing Workflows: Fine-tune Playwright scripts and AI models for performance, scalability, and reliability, minimizing false positives and ensuring robust test coverage. Review and Troubleshoot: Analyze automated test runs, troubleshoot failures, and report defects with clear, actionable insights, generating automated HTML or JUnit XML reports for stakeholders. Collaborate Across Teams: Work with QA analysts, developers, and data scientists to align automation and AI solutions with project goals, supporting manual testing when needed. Documentation: Responsible for technical specifications and guide for automation process and the design of test cases from User Stories when needed. Stay Current with Trends: Continuously adopt advancements in Playwright, Python, AI technologies, and testing best practices to enhance QA capabilities. What We’re Looking For Must-Have Qualifications Education: Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Experience: 5+ years in test automation, with a focus on QA applications. Proven expertise in developing Playwright with Python automation scripts for web testing, including locators (e.g., CSS, XPath, text), cross-browser testing, and API interactions. Hands-on experience with AI-driven testing solutions (e.g., test case optimization, defect prediction). Technical Skills: Advanced proficiency in Python for automation and AI development (please list additional coding languages you’re experienced in, e.g., Java, JavaScript, or C#). Expertise in Playwright for web automation; familiarity with other tools (e.g., Selenium, Cypress, Appium) is a plus. Strong knowledge of AI techniques (e.g., supervised/unsupervised learning, NLP, anomaly detection) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with SQL databases for test data management. Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins), REST API testing (e.g., Postman), and data-driven testing frameworks . Hands-on experience with cloud platforms (e.g., Azure , AWS ) for testing in cloud-based environments. Knowledge of Playwright fixtures and pytest for structured QA automation. Soft Skills: Exceptional attention to detail to ensure error-free automation and high-quality outcomes. Strong problem-solving skills to independently troubleshoot challenges. Excellent communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities in a fast-paced environment with a willingness to learn and ask questions. Nice to Have Basic understanding of financial systems or fintech concepts. Experience with performance testing tools (e.g., JMeter, LoadRunner). Certifications in AI (e.g., Google Professional Machine Learning Engineer) or test automation (e.g., ISTQB Advanced Test Automation Engineer). Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., GCP).

We are looking for a skilled and passionate AI/ML Engineer to join our team and help us build intelligent systems that leverage machine learning and artificial intelligence. You will design, develop, and deploy machine learning models, work closely with cross-functional teams, and contribute to cutting-edge solutions that solve real-world problems. Key Responsibilities: Design and implement machine learning models and algorithms for various use cases (e.g., prediction, classification, NLP, computer vision). Analyze and preprocess large datasets to build robust training pipelines. Conduct research to stay up-to-date with the latest AI/ML advancements and integrate relevant techniques into projects. Train, fine-tune, and optimize models for performance and scalability. Deploy models to production using tools such as Docker, Kubernetes, or cloud services (AWS, GCP, Azure). Collaborate with software engineers, data scientists, and product teams to integrate AI/ML solutions into applications. Monitor model performance in production and continuously iterate for improvements. Document design choices, code, and models for transparency and reproducibility. Preferred Qualifications: Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). Background in deep learning architectures such as CNNs, RNNs, GANs, or transformer models. Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). Contributions to open-source AI/ML projects or publications in relevant conferences/journals.

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

Data Science Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our Data Science Internship is designed to enhance your technical skills while solving real-world data challenges, equipping you for the industry. Role Overview As a Data Science Intern , you’ll dive deep into real datasets, apply machine learning techniques, and generate insights that support informed decision-making. This internship provides the perfect launchpad for aspiring data professionals. Key Responsibilities Collect, clean, and preprocess data for analysis Apply statistical and machine learning techniques Build models for classification, regression, and clustering tasks Develop dashboards and visualizations using Python or Power BI Present actionable insights to internal stakeholders Collaborate with a team of peers on live data projects Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, or a related field Solid understanding of Python and key libraries: Pandas, NumPy, Scikit-learn Familiarity with machine learning algorithms and SQL Strong analytical and problem-solving abilities Eagerness to learn and grow in a fast-paced environment What You’ll Gain Real-world experience with industry-standard tools and datasets Internship Completion Certificate Letter of Recommendation for outstanding contributors Potential for full-time opportunities A portfolio of completed data science projects

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Lead and preprocess multi-temporal EO SAR imagery; run the packaged change-detection application on real client datasets Interpret algorithm outputs (change masks, confidence scores);generate value-oriented deliverables such as annotated maps, dashboards, and case-study reports Document edge cases, false positives/negatives, and usability pain points; propose workflow or UI enhancements for future sprints Assist the Software engineers in tuning configuration parameters and validating metric improvements against QC baselines Capture domain-specific requirements from client stakeholders and translate them into structured tickets or product-feature briefs Provide training sessions and quick-reference guides for end-users Requirements 2-3 yrs hands-on with remote-sensing analytics Basic understanding of working and Analysing Geospatial datasets Proficiency in QGIS/ArcGIS, GDAL/Rasterio Ability to communicate technical findings to non-technical stakeholders through compelling visuals and concise narratives Basic familiarity with YAML/JSON configs, Git, and CLI toolchains to support iterative testing Extremely good with documentation and presentation in a disciplined manner Additional Skillset Experience with optical + SAR data fusion, time-series analysis, or machine-learning model evaluation Exposure to React-based front ends or UX feedback loops for geospatial applications Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 24th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 24th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 24th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

REQUISITION ID: 9569 LOCATION: Chennai DEPARTRMENT: Business Intelligence(BI) - Data Scientist Your Tasks Develop and maintain BI dashboards and reports to track business performance Analyze large datasets to identify trends, patterns, and business opportunities Use machine learning and statistical modeling to predict business outcomes Collaborate with stakeholders to define KPIs and performance metrics Clean, preprocess, and optimize data for reporting and analytics Communicate findings through compelling data storytelling and visualization Experience with Power BI and should research and implement new AI and analytics techniques to enhance BI capabilities Proficiency in VBA, SQL, Python, or R for data manipulation and analysis Ability to translate complex data into business insights and recommendations Your Profile Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. Experience in cloud platforms (AWS, Azure, GCP) for data analytics. Knowledge of A/B testing, forecasting, and customer segmentation. Previous experience in a BI, data analytics, or consulting role. Relevant 5 years of experience in data analytics, BI, or data science roles Business Intelligence (BI) – Power BI and data Science & Analytics – Python, R, SQL Machine Learning & AI – Predictive modeling BI Developer – Hands-on experience with BI tools and data modeling Machine Learning Engineer – Applied AI and ML in business contexts Nordex adheres to a policy of equal employment opportunity. All employment decisions are made without regard to protected characteristics and in full compliance with all laws and legislations.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 24th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Designation - Associate - Data Analyst Location - Mumbai, Lower Parel About Us: The Souled Store is a homegrown youth casual-wear brand started in 2013. We are one of India’s largest online merchandising platforms with licenses like Disney, Warner Bros; WWE, IPL, Viacom18 to name a few. Apart from selling products with themed designs such as superheroes, movies, TV shows, and cartoons, the brand also is at the forefront of the latest youth style and fashion trends. In addition to core men and women wear apparel categories, we have also expanded to new categories and introduced new product lines like activewear, supima products, innerwear, personal care products like perfumes etc. We have also launched footwear and kidswear recently. Although we are primarily an online brand, we’ve expanded in the offline retail space as well and have stores pan India. The Souled Store was born out of the idea of loving what you do, from the soul. We believe that people do their best work when they love what they do. There are too many Monday mornings and you can’t go dreading every single one of them. Over the years, we have built a strong team of like-minded people that work smart, own their work, and think like leaders. If you identify with what we do and are interested in being a part of an aggressively growing brand, we would love to have you on Board! Work Overview : The Associate Data Analyst will assist in the collection, processing, and analysis of data to help drive business insights. This role requires an analytical mindset, proficiency in data analysis tools, and the ability to present actionable insights to business stakeholders. Key Responsibilities: Data Collection & Preparation - Gather, clean, and preprocess large datasets from multiple sources Ensure data accuracy and consistency Collaborate with functional teams, tech teams to improve data pipelines Data Analysis - Identify trends and patterns through exploratory data analysis Apply statistical methods to derive insights Build and maintain dashboards and reports Reporting & Communication - Present actionable insights to support business decisions Work with teams across sourcing, category and operations Simplify complex data findings for non-technical stakeholders Supply chain and operations improvement - Conduct data-driven research and analysis to improve process efficiency of sourcing activities Conduct partner evaluations across performance KPIs and suggest corrective aciton Tool Proficiency - Very strong in Excel, Power BI and experience in SQL, Python etc. Automate tasks and build visual reports Continuous Improvement - Stay updated with data trends and tools Improve processes in data handling and reporting Qualifications: Educational Background: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Experience: 0-2 years of experience in data analysis or related fields (internships or academic projects can be considered). Ability to clearly communicate complex data insights to stakeholders. Strong problem-solving abilities with attention to detail. Knowledge of machine learning or AI concepts can be advantageous.

Bangalore,Karnataka,India Job ID 768928 Join our Team About this opportunity: We are looking for a skilled and motivated AI/ML & GenAI Engineer to join our team and drive innovation through cutting-edge artificial intelligence and machine learning solutions. In this role, you will be responsible for designing, developing, and deploying scalable AI models—including large language models (LLMs)—to solve real-world business challenges. You'll work across the full machine learning lifecycle, from data preparation to production deployment, leveraging modern MLOps practices and cloud technologies such as AWS and Azure. This role offers a unique opportunity to contribute to impactful projects in a collaborative, fast-paced, and technology-driven environment. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS). Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution. The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Experience Experience: 2-5 years of hands-on experience Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Job Information Date Opened 06/23/2025 Job Type Full time Industry Technology State/Province Karnataka Zip/Postal Code 560048 City Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role We are seeking a motivated and talented Test Automation Engineer to join our Quality Assurance team. This role is ideal for individuals with a strong work ethic, a passion for learning, and expertise in designing automation solutions enhanced by AI. You’ll thrive in our collaborative, innovative environment, working on impactful projects to ensure the quality of cutting-edge web applications. The ideal candidate excels at managing multiple tasks, meeting deadlines, and leveraging tools like Playwright and Python , alongside AI techniques, to optimize testing efficiency and deliver precise, scalable results. While financial domain knowledge is a plus, it’s not required. Key Responsibilities Develop Automation Scripts: Create and maintain automated test scripts using Playwright with Python to validate web applications, ensuring cross-browser compatibility, dynamic content handling, and complex interactions like data grid sorting, filtering, and validation. Maintain Automation Suites: Manage and enhance automation suites for sanity checks, smoke testing, regression testing, and API testing, integrating with CI/CD pipelines (e.g., GitHub Actions, Jenkins). Data Management for Testing: Preprocess and manage large datasets using SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB ) databases to support AI models and test data integrity. Optimize Testing Workflows: Fine-tune Playwright scripts and AI models for performance, scalability, and reliability, minimizing false positives and ensuring robust test coverage. Review and Troubleshoot: Analyze automated test runs, troubleshoot failures, and report defects with clear, actionable insights, generating automated HTML or JUnit XML reports for stakeholders. Collaborate Across Teams: Work with QA analysts, developers, and data scientists to align automation and AI solutions with project goals, supporting manual testing when needed. Documentation: Responsible for technical specifications and guide for automation process and the design of test cases from User Stories when needed. Stay Current with Trends: Continuously adopt advancements in Playwright, Python, AI technologies, and testing best practices to enhance QA capabilities. What We’re Looking For Must-Have Qualifications Education: Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Experience: 5+ years in test automation, with a focus on QA applications. Proven expertise in developing Playwright with Python automation scripts for web testing, including locators (e.g., CSS, XPath, text), cross-browser testing, and API interactions. Hands-on experience with AI-driven testing solutions (e.g., test case optimization, defect prediction). Technical Skills: Advanced proficiency in Python for automation and AI development (please list additional coding languages you’re experienced in, e.g., Java, JavaScript, or C#). Expertise in Playwright for web automation; familiarity with other tools (e.g., Selenium, Cypress, Appium) is a plus. Strong knowledge of AI techniques (e.g., supervised/unsupervised learning, NLP, anomaly detection) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with SQL databases for test data management. Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins), REST API testing (e.g., Postman), and data-driven testing frameworks . Hands-on experience with cloud platforms (e.g., Azure , AWS ) for testing in cloud-based environments. Knowledge of Playwright fixtures and pytest for structured QA automation. Soft Skills: Exceptional attention to detail to ensure error-free automation and high-quality outcomes. Strong problem-solving skills to independently troubleshoot challenges. Excellent communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities in a fast-paced environment with a willingness to learn and ask questions. Nice to Have Basic understanding of financial systems or fintech concepts. Experience with performance testing tools (e.g., JMeter, LoadRunner). Certifications in AI (e.g., Google Professional Machine Learning Engineer) or test automation (e.g., ISTQB Advanced Test Automation Engineer). Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., GCP).