Job description Role Overview: Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs). You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale. Key Responsibilities: Design and implement scalable ML systems, from experimentation to deployment. Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring. Lead the development and deployment of ML models across a variety of use cases including classical ML and LLM-based applications like summarization, classification, document understanding, and more. Define model training and evaluation pipelines, ensuring reproducibility and performance tracking. Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions. Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML. Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management. Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions. Mentor junior ML engineers and data scientists, and help scale the ML function across the organization. Required Qualifications: 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale. Proven experience with classical ML algorithms (e.g., regression, classification, clustering, ensemble models). Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain) and their integration into production workflows. Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent. Solid background in statistics and the ability to apply statistical thinking to real-world problems. Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL, Pandas, AWS Glue, etc.). Familiarity with cloud services (AWS preferred) and containerization tools (Docker, Kubernetes) is a plus. Strong communication and leadership skills, with experience mentoring and guiding junior team members. Self-starter attitude with a bias for action and ability to thrive in fast-paced environments. Masters degree in Machine Learning, Artificial Intelligence, Statistics, or a related field is preferred. Preferred Qualifications: Experience deploying ML systems in microservices or event-driven architectures. Hands-on experience with vector databases, embeddings, and retrieval-augmented generation (RAG) systems. Understanding of Responsible AI principles and practices. Why Join Us? Lead the ML charter in a mission-driven company solving real-world challenges. Work on cutting-edge LLM use cases and platformize ML capabilities for scale. Collaborate with a passionate and technically strong team in a high-impact environment. Competitive compensation, flexible working model, and ample growth opportunities. Wok location - Chennai and Bangalore. Role: Full Stack Data Scientist Industry Type: Legal Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Information Technology Key Skills Skills highlighted with ‘‘ are preferred keyskills TensorflowPytorchscalable ML systemsScikit-learnmicroservices Statistics

Job description Job Opportunity: Senior Data Analyst Bangalore Location: Bangalore, India Company: GSPANN Technologies Apply: Send your resume to heena.ruchwani@gspann.com GSPANN is hiring a Senior Data Analyst with 57 years of experience to join our dynamic team in Bangalore! What Were Looking For: Education: Bachelor’s degree in Computer Science, MIS, or a related field Experience: 5–7 years in data analysis, with a strong ability to translate business strategy into actionable insight Advanced SQL expertise Proficiency in Tableau, Power BI, or Domo Experience with AWS, Hive, Snowflake, Presto Ability to define and track KPIs across domains like Sales, Consumer Behavior, and Supply Chain Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities Experience working in Agile environments Retail or eCommerce domain experience is a plus If this sounds like the right fit for you, don’t wait—send your updated resume to heena.ruchwani@gspann.com today! Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: B.Sc in Computers, B.Tech/B.E. in Computers, B.Com in Commerce Key Skills Skills highlighted with ‘‘ are preferred keyskills Data AnalysisSQL HivePrestoSnowflakeStatistical ModelingData VisualizationTableauData AnalyticsAWSPython

Job description Responsibilities: Design and implement secure frameworks and features (e.g., Passkeys). Collaborate with Security & Engineering to drive roadmap execution. Lead architecture decisions and participate in security-focused code reviews. Break down complex problems into agile deliverables. Mentor junior engineers and champion security best practices. Ensure secure, scalable solutions for internal tools and customer-facing products. Requirements: 5+ years in software engineering with leadership responsibilities. Proficient in Java (Spring), JavaScript/TypeScript, React, and CI/CD pipelines. Experience with Docker, Kubernetes, AWS, and IaC tools (Terraform, Ansible, etc.). Knowledge of authentication (SAML, JWT, OIDC), authorization, cryptography, and app security. Familiarity with security compliance (PCI DSS, SOC2, HIPAA, FedRAMP) is a plus. Strong communication and cross-functional collaboration skills. Role: Security / Fraud - Other Industry Type: Software Product Department: Risk Management & Compliance Employment Type: Full Time, Permanent Role Category: Security / Fraud Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Full StackJava Spring FrameworkBackendFrontend Development PCI DSSJavaScript/TypesciptJwtSassNode.JsSAMLSecurityDevopsReactSOC2Javascript FrameworksSQLVagrantNoSQLGITAccess ManagementDockerAuthenticationJavascriptPython

Job description Title Overview: Data Scientist Location: Bangalore Experience: 3-12 years Employment Type: Full-time Job Overview: We are seeking a Data Scientist to help drive AI-driven insights and solutions, leveraging both traditional machine learning and Generative AI (GenAI). This role focuses on data exploration, predictive modeling, and extracting actionable insights from structured and unstructured data. You will work closely with business teams to translate challenges into AI-powered solutions, using advanced analytics, machine learning, and large language models (LLMs). Key Responsibilities: • Conduct exploratory data analysis (EDA) to uncover patterns, trends, and insights. • Develop and implement predictive and prescriptive models to support data-driven decision-making. • Work with large datasets and apply techniques in statistics, probability, and optimization. • Fine-tune large language models (LLMs) for text analytics, summarization, and conversational AI. • Leverage Generative AI for knowledge retrieval, document automation, and personalization. • Work on A/B testing, experimentation, and causal inference to evaluate AI model effectiveness. • Collaborate with business teams to identify AI opportunities and present insights through visualizations. • Use vector databases, retrieval-augmented generation (RAG), and prompt engineering for GenAI applications. • Assist AI/ML Engineers in transitioning models from research to production while ensuring interpretability and explainability. • Stay updated on the latest ML algorithms, generative AI advancements, and statistical techniques. Required Skills & Qualifications: • Bachelors/Masters/PhD in Data Science, Statistics, Mathematics, or a related field. • Strong proficiency in Python, SQL for data analysis and modeling. • Hands-on experience with statistical modeling, hypothesis testing, and feature engineering. • Experience in ML frameworks (Scikit-learn, TensorFlow, PyTorch) and working with LLMs (e.g., GPT, BERT etc). • Knowledge of time-series forecasting, clustering, and anomaly detection techniques. • Familiarity with NLP, embeddings, and GenAI-driven analytics. • Strong experience with data visualization tools. • Ability to translate data insights into business impact and storytelling. • Exposure to A/B testing, experiment design, and optimization algorithms Role: Data Scientist Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Doctorate: Any Doctorate Key Skills Skills highlighted with ‘‘ are preferred keyskills Large Language ModelGenerative Artificial Intelligence PyTorchNatural Language ProcessingNeural NetworksScikit-learnRagVectore databaseTensorFlow

Job description Senior Developer Kafka Experience: 8 - 20 Years Exp Salary : INR 25-28 Lacs per annum Preferred Notice Period: Within 30 Days Shift: 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Kafka, Kafka Administration, Kafka Confluent, Linux SoHo Dragon (One of Uplers' Clients) is Looking for: Senior Developer Kafka who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description We are seeking an experienced professional with 8-15 years of IT experience to join our team. The ideal candidate should possess expertise in Kafka architecture and operations, along with a strong understanding of Confluent-specific tools, Linux/Unix systems, networking, and security practices. Key Responsibilities & Requirements: Kafka Architecture & Operations: Deep understanding of core Kafka components including brokers, topics, partitions, producers, and consumers. Ability to create, configure, and manage Kafka topics and partitions. Confluent Ecosystem: Proficiency in Confluent-specific tools such as Control Centre, Schema Registry, ksqlDB, and Kafka Connect. Linux/Unix Expertise: Strong command over Linux/Unix systems, including shell scripting and system monitoring. Networking Knowledge: Understanding of network configurations, protocols, and security best practices to ensure efficient and secure Kafka operations. Programming Skills: Knowledge of Java programming and JVM tuning, as Kafka is built on Java. Automation & Scripting: Proficiency in scripting languages like Python or Bash for automation and management tasks. Monitoring & Logging: Experience with monitoring tools such as Prometheus, Grafana, and Confluent Control Centre to track Kafka performance. Familiarity with logging frameworks like Log4j for troubleshooting and maintaining Kafka logs. Security Practices: Implementation of security measures, including SSL/TLS encryption, Kerberos authentication, and access control lists (ACLs) to safeguard Kafka data. Integration Expertise: Experience in integrating Kafka with various systems and data sources, including databases, data lakes, and cloud services. Capacity Planning: Ability to plan and scale Kafka clusters to handle dynamic workloads while ensuring high availability. Backup & Recovery: Knowledge of backup and recovery strategies to protect data and ensure business continuity in case of failures (a frequent task in T&S). Preferred Qualification: Confluent Certification: Preference for candidates holding the Confluent Certified Administrator for Apache Kafka (CCAAK) certification. Note: This role is a 6-month contractual position with the possibility of extension based on performance. The work location is Bangalore-Eco World Bellandur, and it requires on-site presence at the office. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: We are a full-service Software Application Development company that focuses on portals, document management, collaboration, business intelligence, CRM tools, cloud technology, and data. Much of the work done for our clients are based in the Microsoft Application stack of business tools. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We

Job description Experience: 3+ years Location: Bengaluru( Work from office) Notice period: Immediate joiners Roles: Build and deploy AI models in Computer Vision and GenAI domains Work with tools like OpenCV and pose detection models Collaborate directly with clients to understand needs and deliver solutions Use low-code/no-code platforms for rapid prototyping Leverage AI code editors/code generators to accelerate development Requirements: 3+ years of hands-on experience in AI/ML, with a focus on Computer Vision and GenAI Proficiency with OpenCV, pose detection, and Python-based AI frameworks Experience working with clients and managing technical deliverables Knowledge of platforms like Bubble, or other low-code tools Familiarity with AI coding assistants like GitHub Copilot, Replit, etc. Role: Computer Vision Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills GenAIOpencvpose deductionLow CodeComputer Vision Image ProcessingNo Code

Job description Experience:- 6+Years. Location:- Bengaluru. Preferred candidates:- Immediate or available to join within 15 days. JD: Develop maintainable test automation frameworks, tools, and automated test suites in response to the growing feature set and customer requirements Execute the Regression test suite, analyses & fix the test failure issues, Manual testing to enable automation. Work closely with software engineers, test engineers, and product leads/managers from the beginning of the development cycle. Work in a fast-paced continuous integration and continuous delivery-based engineering environment Skill and Experience: Minimum 6+ years of overall experience Experience in Agile/Scrum or full software development life cycle, including requirement analysis, design, development, testing, and defect fixing Experience with automation using Python, Shell, Rest API Experience in general networking and network protocols including OSI model, TCP, UDP, Routing, etc Experience in Linux environments and general networking concepts Work experience with Bugzilla, GitHub, and Jenkins Location: Bangalore only Should work from Client office all 5 days of the week. Qualification Bachelor's degree in CS, CE or EE is required Masters in CS, CE or EE is preferred. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills ShellProtocolsPython TCPUDPNetworking ProtocolsAutomationRoutingOSI model

Job description We are seeking a highly skilled Python Developer with Strong AWS & Terraform experience. The ideal candidate must possess strong Python development capabilities, robust hands-on experience with AWS, and a working knowledge of Terraform. This role also requires foundational SQL skills and the ability to integrate and automate various backend and cloud services. Requirements and Qualifications: 57+ years of overall experience in software development Strong proficiency in Python development Extensive experience working with AWS services (Lambda, API Gateway, CloudWatch, etc.) Hands-on experience with Terraform Basic understanding of SQL Experience with REST APIs, Salesforce SOQL Familiarity with tools and platforms such as Git, GitHub Actions, Dell Boomi, Snowflake Knowledge of QA Automation using Python, Cucumber, Gherkin, Postman Roles and Responsibilities: Integrate automation frameworks with AWS, X-Ray, and Boomi services Develop backend automation scripts for Boomi processes Build utility tools for Salesforce data cleanup and EDI document generation Create and manage automated triggers in the test framework using AWS services (Lambda, API Gateway, etc.) Develop utilities for internal EDI processes integrating third-party applications (Salesforce, Dell Boomi, AWS, Snowflake, X-Ray) Integrate utilities into Cucumber Automation Framework Connect automation framework with Jira and X-Ray for test reporting Automate test cases for various EDI processes Collaborate on development and integration using Python, REST APIs, AWS, and other modern tools Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills SQLTerraformAWSPython Dell BoomiJiraGitGitHub ActionsCloudWatchGherkinSnowflakeX-RayLambdaCucumberPostmanAPI GatewayREST APIsSalesforce SOQL

Job description Are you passionate about driving customer successInterested in learning new technologiesDo you thrive in a dynamic, fast-paced environmentFBA is seeking a Support Engineer to assist our business intelligence engineers, investigation specialists, and ML data associates in developing, maintaining, and automating tech solutions with a focus on end-to-end Seller Experience (SX). This includes, but is not limited to, Seller reimbursements, Seller coaching, Seller abuse, Seller Returns, FC operations, AWS security breaches, tech solution documentation, and automating and improving repetitive processes. You will frequently collaborate with program and product managers, who work with global and regional teams to launch new web pages, portals, and tools for our Sellers. Your role will be instrumental in ensuring that all tech-related, business-critical issues preventing Sellers from adopting FBA programs and services are resolved. While we obsess over issue resolution, you will also develop tools to scale our support and service quality, and provide critical input for product prioritization to address root causes of SX issues. In a typical day, as a Support Engineer, you will: Trace Seller specific defects across upstream systems and data lake to detect, investigate, and fix the root causes (e.g., algorithmic bottlenecks, data quality issues, software flaws). Develop the tools for the efficient Seller coaching. Assess the health and compliance of Seller-facing and internal web portals used to resolve Seller escalations. Troubleshoot, diagnose, reproduce (if needed), and fix operational issues in analytics pipelines. Automate standardized processes using Python scripts. Provide ad-hoc data using SQL for faster seller escalation case resolution or proactive insights sharing. Apply case management tools to manage and prioritize issues based on multiple factors, including Seller impact. Develop visual SX monitoring solutions with alerts (e.g., in Amazon QuickSight). Architect tech solutions on AWS to support standardized processes or feed internal systems. Conduct regular assessments and document technical artifacts created by BIEs to ensure compliance and error-free execution. Proactively seek solutions to Seller needs, communicate trends to leadership, and suggest innovative tech solutions to make a step change in SX. Drive internal projects that improve support-related processes and FBA programs SX. Build and contribute to tech training materials and documentation. We are open to hiring candidates to work out of the following location: Hyderabad, TS, IND - Bachelors degree in computer science or a related quantitative field - 5+ years of hands-on experience in technical support, data engineering, business analytics, or related field - 5+ years of experience working with and extracting data from relational databases (SQL) - 3+ years of experience troubleshooting and debugging technical systems - Experience scripting in modern programming languages (Python) - Experience in agile/scrum or a similar collaborative workflow - Demonstrated skills and passion for operational excellence - ADAPTABLE: You willingly undertake a variety of tasks, switching from complex to routine tasks as needed. You quickly adapt to new technologies and products and work effectively with a variety of personalities and work styles. - BIG PICTURE: You solve problems at their root by stepping back to understand the broader context. - PROACTIVE: You demonstrate energy and initiative in solving problems, exploring all possible avenues to get the job done. - Experience working with cloud services (preferably AWS services for databases, compute, storage, or analytics) - Experience working with business intelligence solutions (e.g., Tableau, Power BI, Amazon QuickSight) - Knowledge of web services or e-commerce operations - Proven documentation skills read more Key Skills Computer scienceData analysisDebuggingWorkflowCustomer serviceBusiness intelligenceTechnical supportMonitoringSQLPython

Job description Experience: o 8 - 10 years of experience in Automic Workload Automation, with a focus on Implementing/ solutioning Automic automation for enterprise environments. o Proven expertise in designing and implementing complex automation solutions across large IT landscapes, including cloud, on-premises, and hybrid infrastructures. o Strong knowledge of infrastructure automation and experience integrating Automic into cloud platforms (AWS, Azure, Google Cloud) and on-prem systems. o Experience with developing and customizing Automic Action Packs and extending platform functionality through custom integrations. Job Summary: We are seeking a seasoned Automic Expert with over 8-10 years of experience in architecting and delivering automation solutions across complex IT landscapes. In this senior role, you will take a leadership position in designing, building, and optimizing Automic Workload Automation solutions that drive efficiency, scalability, and reliability for our IT infrastructure. As an expert, you need to guide the strategic direction for integrating Automic into various IT systems, automating workflows, and ensuring alignment with business needs. You ll collaborate closely with key stakeholders across operations, development, and DevOps teams to design comprehensive automation strategies that meet operational objectives. If you thrive on solving complex automation challenges and enjoy architecting solutions that shape the future of IT, this is the role for you. Key Responsibilities: Automic Platform Leadership: o Design scalable and resilient automation solutions that integrate with cloud platforms, on-prem systems, databases, and hybrid environments. o Define automation strategies for enterprise-level projects, focusing on streamlining operations, improving uptime, and reducing manual intervention. o Take ownership of the Automic platform architecture, overseeing installations, configurations, upgrades, and performance tuning to ensure the environment s stability and scalability. o Implement custom workflows, jobs, and schedules to meet business-critical needs. o Provide technical leadership on the development of Automic Action Packs and custom components to extend automation capabilities. Infrastructure Automation: o Architect and deliver solutions for infrastructure automation using Automic, driving automation for server provisioning, patch management, deployments, and system monitoring. o Lead initiatives to automate processes across multi-cloud environments, integrating with platforms like AWS, Azure, and Google Cloud. Technical Leadership and Collaboration: o Act as the subject matter expert on all things Automic, guiding and mentoring team members while collaborating with IT, DevOps, and business teams to deliver robust automation solutions. o Drive discussions and provide thought leadership on best practices for infrastructure automation, ensuring continuous improvement and optimization of automation frameworks. Innovation and Optimization: o Continuously assess and evaluate emerging technologies in workload automation, identifying areas where new features or tools can be leveraged to further optimize the Automic environment. o Lead automation innovation initiatives to ensure the IT landscape remains future-proof and aligned with the latest industry trends in automation and AI-driven orchestration. Documentation and Standards: o Establish and maintain architectural standards and best practices for using Automic in the IT infrastructure. Ensure all documentation, from workflows to integrations, is kept up-to-date and accessible . Technical Skills: o Deep expertise in Automic Automation Engine, with hands-on experience in architecture, administration, and workflow development. o Strong understanding of infrastructure automation tools and frameworks, with scripting capabilities in languages like Python, Shell, and PowerShell. o Experience in CI/CD pipeline integration using tools like Jenkins, GitLab, or Azure DevOps to drive continuous delivery. Soft Skills: o Ability to think strategically and arc