Job Description: We are looking for an experienced Senior Verification Engineer to join our dynamic team, dedicated to developing high-performance software applications for the mining, drilling, and construction equipment domain. The ideal candidate will bring strong expertise in Python programming, along with proven experience working with automation frameworks such as Robot Framework and Selenium . This role involves contributing to robust and scalable solutions that meet industry-grade performance and reliability standards. Key Responsibilities: Proven expertise in designing and developing automated test suites for functional, integration, regression, and performance testing. Ability to define test strategies, create detailed test plans, and manage test case repositories using tools like Jira. Experience in system validation and verification, particularly for real-time, embedded, or industrial applications. Ability to perform hardware-software integration testing in domains like mining, drilling, or construction. Familiarity with testing scalable and responsive user interfaces (UI), especially in resource-constrained or embedded environments. Familiarity with testing scalable and responsive user interfaces, especially in resource-constrained or embedded environments. Skilled in troubleshooting and root cause analysis of complex issues. Experience with debugging tools and version control systems (e.g., Git). Strong communication skills to work with cross-functional teams including developers, system engineers, and product owners. Ability to lead testing discussions, reviews, and defect triages. Passion for quality advocacy and mentoring junior team members in testing best practices. Required Skills and Qualifications: Bachelor’s or Master’s degree in relevant engineering fields (e.g., Electronics, Mechatronics, Robotics, Computer Science) with 6 to 10 years of professional experience. Proficient in Python with the ability to develop test scripts and automation frameworks. Experience with automation tools such as Robot Framework, Selenium, and related test libraries. Hands-on experience with Agile methodologies (Scrum/Kanban), including sprint planning, standups, and retrospectives. Demonstrated ability to work effectively in a collaborative, team-based environment. Familiarity with communication protocols like CAN, J1939, LIN, and Ethernet is an advantage. Experience using Git for version control, CI/CD practices, and tools within the Azure DevOps ecosystem. Familiarity with automated deployment pipelines and versioning best practices. Excellent customer-facing skills with a proactive approach, capable of understanding client needs and delivering customized solutions Good to Have: Previous experience in heavy machinery in mining, construction, or automotive control systems Self-starter with curiosity to learn and an exploratory mindset Experience with Docker containers Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Agile certifications such as Scrum Master Enthusiastic, positive minded and able to work well in an international client environment Good interpersonal, communication and analytical skills Team player - open-minded and flexible Location: This position is located in Bengaluru/Chennai/Hyderabad, India. In this recruitment process we review applications continuously. Welcome with your application as soon as possible, but no later than 03rd May 2025. Epiroc is a global productivity partner for mining and construction customers, and accelerates the transformation toward a sustainable society. With ground-breaking technology, Epiroc develops and provides innovative and safe equipment, such as drill rigs, rock excavation and construction equipment and tools for surface and underground applications. The company also offers world-class service and other aftermarket support as well as solutions for automation, digitalization and electrification. Epiroc is based in Stockholm, Sweden, had revenues of around SEK 64 billion in 2024, and has almost 19000 passionate employees supporting and collaborating with customers in around 150 countries. Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Senior Platform Engineer Vault Location: Manyata Tech Park, Bangalore Business & Team: CTO-Cloud Integration Impact & contribution: The cloud movement at CommBank is going strong and continues to grow. We are looking for out of the box thinkers who want to use technology to work on real-world problems that have the potential to change the lives of our 17 million+ customers. The successful applicant will join a team tasked to build and operate the secret management platform for the bank which is built using HashiCorp Vault. You will be expected to continuously improve the platform through DevSecOps model and improve the security posture of the bank in this area. Roles & responsibilities: Ensure the platform is running 24/7 and respond to incidents as needed. Design and build all aspects of an enterprise platform, e.g. tooling, CI/CD, Security, Observability. Share engineering knowledge through presentation, blogs, videos with the broader engineering community. Collaborate with Product Owner and team to create relevant engineering roadmaps. Essential skills: Minimum 7 years of experience. Working with programming languages, such as Golang, is a must. Any additional languages like Rust are desirable. Possesses technical hands-on experience in AWS. Have very good understanding of Docker container and Kubernetes technology. Have very good system design/architecture knowledge. Have very good communication skills (verbal and written). Proficient with versioning systems and CI/CD tools like; GitHub Github Action, Artifactory, ArgoCD. Experience in administration and implementation of HashiCorp Vault is desirable but not a must. Education Qualification: Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 14/07/2025

As a member of the OCI Networking software engineering division, you will apply basic to intermediate knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications. Build enhancements within an existing software architecture and occasionally suggest improvements to the architecture. Career Level - IC2 You will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems. Design and build distributed, scalable, and fault-tolerant software systems for Networking services. Participate in the entire software lifecycle, from design to development, to quality assurance, and to production. Invest in the best engineering and operational practices upfront to ensure our software quality bar is high. Optimize software for orders of magnitude higher throughput and faster latencies. Leverage a plethora of internal tooling at OCI to develop, build, deploy, and troubleshoot software. Qualifications 3+ years of experience in the software industry working on design, development and delivery of highly scalable products and services. Strong knowledge of Java, J2EE or JVM based languages. Experience with multi-threading and parallel processing. Experience of building scalable, performant, and secure services/modules. Experience with Micro Services architecture and API design Very good understanding of testing methodologies. Experience with CI/CD technologies. Experience with observability tools like Spunk, New Relic, etc Good understanding of versioning tools like Git/SVN. Understanding of the entire product development lifecycle that includes understanding and refining the technical specifications, HLD and LLD of world-class products and services, refining the architecture by providing feedback and suggestions, developing, and reviewing code, driving DevOps, managing releases and operations. Fluent verbal and written English, including technical specs creation. BS or MS degree or equivalent experience relevant

Experienced Enterprise Content Management (ECM) Systems Content & Document Lifecycle Management: 13+ years of experience in Content Management, Document Management, Records Management, or Enterprise Content Management (ECM). Manage and maintain content and documents across various systems (e.g., SharePoint, Documentum, OpenText, internal repositories, Adobe Experience Manager (AEM)) ensuring accuracy, consistency, and compliance. Develop and enforce content classification schemas, metadata standards, and tagging conventions. Oversee document version control, access permissions, retention policies, and archival processes. Ensure all content and document management practices comply with internal policies, industry regulations, and legal requirements (e.g., data privacy, record-keeping). Contribute to the development and refinement of content governance frameworks. Conduct regular content audits to identify outdated, redundant, or inconsistent information. Engineer solutions to capture not only document content but also organizational and semantic context—ensuring each document is tagged, enriched, and classified for optimal downstream use. Implement context-preserving transformations, such as OCR, language detection, classification, and context-based metadata extraction, leveraging Azure Cognitive Services and custom AI models. Define strategies for automated metadata extraction, entity recognition, taxonomy management, and document context embedding (including vector-based semantic search). Implement auto-tagging, versioning, and lineage tracking to ensure every document’s journey—from ingestion to consumption—remains transparent and auditable. Champion the integration of advanced content embedding (e.g., knowledge graphs, vector databases) to enable intelligent, context-aware document retrieval and RAG (Retrieval Augmented Generation) solutions Educate and train users on best practices for content creation, organization, and AI-enabled tools. Knowledge of Headless CMS: Examples: Contentful, Strapi, Sanity, ButterCMS, Storyblok, Hygraph, Directus. Many traditional CMS like WordPress and Drupal now also offer "headless" options via APIs. AI Skills Demonstrated understanding and working knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts , particularly as they apply to unstructured data (e.g., Natural Language Processing - NLP, intelligent document processing - IDP, text analytics, generative AI basics). This is not an AI development role, but a comprehension of capabilities and limitations is key. A genuine interest in how AI can transform information management. Team Leadership skills: Responsible for designing functional technology solutions, overseeing and reviewing development and implementation of solutions, and providing support to software development teams under supervision of Technical Lead and in close collaboration with Lead Engineers. Communication & Collaborative Skills Lead workshops and knowledge-sharing sessions to promote best practices in document enrichment and contextualization. Strong analytical and problem-solving abilities, with a keen eye for detail. Excellent communication and interpersonal skills, capable of explaining complex information clearly. Ability to work independently and collaboratively in a team-oriented environment. Proactive, organized, and capable of managing multiple priorities.

As a Flutter Developer at Evyaparpay, you will be responsible for developing high-quality mobile applications using Flutter. You will work closely with our team of developers, designers, and product managers to deliver exceptional user experiences on both iOS and Android platforms. Responsibilities: Design and develop high-quality, maintainable, and robust mobile applications using Flutter. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs to optimize application performance. Help maintain code quality, organization, and automatization. Stay up-to-date with the latest industry trends in mobile technologies and Flutter development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Flutter Developer with a strong portfolio of released applications on the App Store and Google Play. Solid understanding of the full mobile development life cycle. Deep knowledge of Dart and its ecosystems. Familiarity with RESTful APIs to connect mobile applications to back-end services. Strong understanding of design principles and user interface guidelines. Proficient understanding of code versioning tools, such as Git. Excellent problem-solving skills and ability to perform well in a team. Strong attention to detail and a passion for delivering high-quality user experiences. Nice-to-Have: Experience with other mobile development frameworks and languages (Swift, Java, Kotlin, etc.). Knowledge of payment gateway integration in mobile apps. Experience with cloud message APIs and usage of push notifications. What We Offer: Competitive salary and benefits package. Opportunity to work with an innovative and creative team. Professional growth and career advancement opportunities. Engaging and supportive work environment. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Education: Diploma (Preferred) Experience: total work: 3 years (Required) software development: 3 years (Required) Work Location: In person

Live your best work-life WE OFFER A GREAT WORK ENVIRONMENT WITH UNLIMITED GROWTH OPPORTUNITIES AND REWARDS! 5 Days Working Per Week Competitive Salary Training & Development Performance Bonus Flexible Environment Celebrations & Events We are inviting self-driven and passionate young minds to join our team Send your resume to career@innovativeglance.com WordPress Developer Minimum Experience 1+ Years Workplace type On-site Requirements: PHP: WordPress HTML, CSS, javaScript, jQuery, ajax, REST APIs Helping formulate an effective, responsive design and turning it into a working WordPress theme, plugin, or application. Design and implement new features and functionality for WordPress websites and applications. Ensuring high performance and availability to manage all technical aspects of the CMS. Designing and managing the website’s back-end, including database and server integration. Conducting website/application performance and UI tests. Monitor the performance of the live website and application built on PHP/WordPress. Conduct WordPress or PHP/Laravel training with the client. Establish and guide the website’s architecture using JS library/Framework and PHP framework or WordPress. Good to have: Strong Knowledge of OOPs fundamentals Knowledge of API integration Experience with working on different layouts in WordPress theme development. Experience with page builders like Elementor, Divi & Gutenberg, etc. Strong Knowledge of WordPress Backend Side as well as Frontend Side. Understanding of Hooks, Shortcodes, etc. Understanding of code versioning tools like Git(GitHub), Bitbucket, SVN WordPress Custom Theme & Plugin development Custom Gutenberg & Elementor blocks development Strong Knowledge of Javascript, jQuery, Ajax, and REST APIs Problem Solving, Logic Building, and Research and Development Skills Knowledge of WP-CLI Strong communication skills. Work with challenging tasks and Team Leading Expertise. Responsibility: Able to work independently with minimal supervision Flexibility, energy, and ability to work well with others in a team environment String problem-solving skills

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Candidates ready to join immediately can share their details via email for quick processing. 📌 CCTC | ECTC | Notice Period | Location Preference nitin.patil@ust.com Act fast for immediate attention! ⏳📩 Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle —from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , ing , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services . Skills Enterprise Architecture,Enterprise Architect,Aws,Python Show more Show less

Candidates ready to join immediately can share their details via email for quick processing. 📌 CCTC | ECTC | Notice Period | Location Preference nitin.patil@ust.com Act fast for immediate attention! ⏳📩 Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle —from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , ing , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services . Skills Enterprise Architecture,Enterprise Architect,Aws,Python Show more Show less

Job Description Job Summary: As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking line of business, you will play a pivotal role in setting the strategic direction for the Account Open and Activation platform. You will lead multiple technology scrum teams based in India, and collaborate with product and business teams to lay a multi-year roadmap for platform features. This role provides an opportunity to promote the modernization and transformation of the platform, ensuring scalability, security, and performance. Job Responsibilities Lead and mentor multiple technology scrum teams in India, fostering a culture of innovation and excellence. Set strategic direction for the Account Open and Activation platform, aligning with business goals and customer needs. Collaborate with product and business teams to develop and execute a multi-year roadmap for platform features. Drive the modernization and transformation of the platform, ensuring scalability, security, and performance. Oversee the end-to-end development process, including requirements definition, design, implementation, testing, and integration. Lay the strategy for and train teams in the "You Build It, You Run It" (YBIYRI) model, promoting ownership and accountability for the entire lifecycle of the software. Ensure alignment with the firm’s Risk and Control agenda and security standards. Provide mentorship and training to new development teams, promoting continuous learning and improvement. Required Qualifications, Capabilities And Skills Formal training or certification of 15+ years of experience in software engineering and technology leadership roles. Proven track record of leading successful digital transformation projects. Experience in aligning technology roadmap strategy to business goals and executing complex projects. Strong command of architecture, design, software patterns, and business processes. Demonstrated ability to build relationships with cross-functional teams, including contractors, third-party vendors, and internal stakeholders. Experience leading teams in an agile environment, with a strong commitment to teamwork and collaboration. Knowledge of privacy and compliance requirements related to customer and personal data (e.g., CCPA, GDPR). Strong technical and analytical skills, with experience in continuous integration processes and tools. Preferred Qualifications, Capabilities And Skills Strong experience in building highly scalable and high-throughput data platforms. Bachelor’s degree in computer science or equivalent; advanced degree preferred. Proficiency in designing and developing applications using object-oriented principles and design patterns in Java. Familiarity with front-end technologies such as HTML5/CSS3 and JS frameworks (e.g., AngularJS, React, jQuery, Bootstrap). Experience implementing RESTful services and cloud application development using Spring and Spring Boot. Knowledge of testing tools (e.g., JUnit, Selenium, Cucumber) and build/packaging tools (e.g., Jenkins, Maven). Experience with code versioning tools. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Show more Show less

Job Title: Front-End Development Engineer Primary Tech stack: JavaScript Experience level: 3 years and above Salary: 5-8 LPA Location: T-Hub, Hyderabad (In- office) Joining: Immediate or as per the availability "Minimum three years of experience as a Front-End Developer with leadership skills" We are looking for a talented Front-End Developer to join our dynamic team. As a key player in our development process, you will be responsible for creating the client-side of our web applications. You will play a crucial role in bringing to life the features and design aesthetics, ensuring they are both engaging and highly functional. Your expertise Javascript, React.js, Next.js, CSS, and HTML, along with an understanding of the MERN stack will be vital in developing responsive, dynamic user interfaces and contributing to the overall user experience of our products. What will you do? (but not limited to) Develop new user-facing features using React.js / Next.js and integrate them with the backend services. Build reusable components and front-end libraries for future use, ensuring scalability and efficiency. Translate designs and wireframes into high-quality code, bringing to life our UI/UX designs. Optimize applications for maximum performance and scalability, ensuring a seamless and responsive user experience across all devices and browsers. Collaborate with backend developers and UI/UX designers to improve usability and enhance the overall aesthetic and functional aspects of our applications. Integrate API’s and ensure its efficiency to allow for a seamless application experience. Implement optimization techniques and ensure the technical feasibility of UI/UX designs and maintain the integrity of the user experience. Implement robust security measures and data protection in the front-end architecture. Write clean, maintainable, and efficient code, adhering to industry best practices, and conduct code reviews. Stay updated with emerging trends in front-end development and technologies, continuously improving our practices and technologies. Troubleshoot and resolve issues, bugs, and performance bottlenecks. Who can apply? Bachelor's degree or higher in Computer Science, Software Engineering, or related field. Minimum 3 years of experience as a Front-End Developer, with a strong portfolio showcasing proficiency in developing web applications. Expertise in React.js+ Next.js and a solid understanding of the MERN stack. Proficient understanding of web markup, including HTML5 and CSS3. Experience with asynchronous request handling, cron jobs, partial page updates, and AJAX. Familiarity with front-end build tools, such as Webpack, NPM, and Babel. Strong understanding of cross-browser compatibility issues and ways to work around them. Good understanding of browser rendering behavior and performance optimization. Experience with code versioning tools, such as Git / GitHub. Excellent problem-solving skills and the ability to work effectively in a team. Strong project management skills, with experience in agile methodologies. What do we offer? A supportive and flexible workplace that promotes work-life balance, recognizing and appreciating your contributions. The autonomy to embrace, explore, and experiment with your ideas. An inclusive environment where your individuality is highly valued, fostering open dialogue and diverse perspectives. Additional Benefits Cross-functional exposure to diverse teams, enabling a holistic understanding of all business functions. Engaging social events that foster camaraderie and networking opportunities with various startups. A fantastic problem-solving team that criticizes and gels along, creating a better version of every idea. About Shoshin Tech We're more than just a tech startup — we're on a mission to build a platform that empowers professionals, educators, and researchers to work smarter, faster, and with greater impact. Our tools are designed not just for productivity, but for transformation. If you possess a creative and innovative mindset, entrepreneurial spirit, and can-do attitude, where you hold a genuine passion for cutting-edge technology, a drive to facilitate transformative learning experiences or a commitment to promoting well-being for all, and wish to be part of a high-performance team enthusiastic about operational excellence, you'll love it here. Shoshin Tech believes in envisioning an Equal Opportunity Employer - We celebrate diversity and are committed to creating an inclusive environment for all teams. We are committed to working with and providing reasonable accommodations to individuals with disabilities. Show more Show less

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage. Support and enhancement of data ingestion infrastructure and pipelines. Designing and implementing data pipelines that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data platform. Extract Translate and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow. Identifying and onboarding data sources using existing schemas and, where required, conducting exploratory data analysis to investigate and determine new schemas Requirements To be successful in this role, you should meet the following requirements: Ability to script (Bash/PowerShell, Azure CLI), code (Python, C#, Java), query (SQL, Kusto query language) coupled with experience with software versioning control systems (e.g., GitHub) and CI/CD systems. Programming experience in the following languages: PowerShell, Terraform, Python Windows command prompt and object orientated programming languages Data Acquisition, Cloud-based Data Pipelines (Azure preferred) Data Transport and Data Cleaning Data Engineering pipeline automation, productionisation, and optimisation Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Containers, Databases) Cloud & Big Data Technologies such as Azure Cloud, Azure IAM, Azure Active Directory (Azure AD), Azure Data Factory, Azure Databricks, Azure Functions, Azure, Kubernetes, Service, Azure Logic App, Azure Monitor, Azure Log Analytics, Azure Compute, Azure Storage, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less