33 Genai Technologies Jobs

We are looking for a skilled Technical Project Manager with a strong background in Data Science to lead cross-functional teams, manage project timelines, and ensure successful delivery of data-driven solutions. The ideal candidate will have experience working with data scientists, engineers, and business stakeholders to drive impactful analytics and AI/ML projects. Responsibilities: Lead end-to-end project delivery for GenAI and Agent AI initiatives, from planning to deployment. Collaborate with AI researchers, data scientists, ML engineers, and product teams to define project scope and goals. Manage project timelines, resources, risks, and dependencies across multiple AI projects. Ensure alignment between technical teams and business stakeholders. Track progress using Agile/Scrum methodologies and tools like Jira, Confluence, or Asana. Facilitate sprint planning, stand-ups, retrospectives, and reviews. Support model development, testing, deployment, and performance monitoring. Stay updated on the latest trends in GenAI, LLMs, autonomous agents, and MLOps. Required Skills: 8+ years of experience in technical project management, with at least 2-3 years in AI/ML or GenAI projects. Strong understanding of GenAI technologies, LLMs Experience with Agile/Scrum methodologies. Excellent communication, leadership, and stakeholder management skills. PMP, PMI-ACP, or Scrum Master certification is a plus. Show more Show less

About the Client: ARAs client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees (200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee-oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees. Role Summary: We are seeking a seasoned leader with a proven track record in managing large-scale, complex, multi-technology implementations, transformations, and migrations across diverse industry verticals. This role is critical for turning around troubled projectsrequiring the ability to assess the current state, define recovery solutions, and execute recovery plans with minimal impact on cost, schedule, and scope. Roles & Responsibilities: Proven experience in recovering, stabilizing, and realigning programs facing significant delivery challenges. Demonstrated ability to restore delivery excellence through governance re-establishment, client relationship, stakeholder trust rebuilding, financial realignment, and delivery turnaround. Led delivery recovery efforts end-to-endincluding issue identification, impact assessment, recovery solutioning, and execution of turnaround plans. Established robust delivery governance frameworks aligned with TDLC, Agile, or SAFe methodologies, ensuring strict adherence to sprint cycles, milestones, and process standards. Successfully re-baselined delivery plans, managed risks and issues proactively, and realigned delivery commitments with client expectations to restore program health. Monitored and enhanced Delivery Experience (DEX), drove reductions in Cost of Poor Quality (COPQ), and improved delivery quality through measurable KPIs. Built and maintained trust with internal and external stakeholders through structured communications, governance routines, and proactive engagement. Led Steering Committees, weekly executive connects, and status reviews to ensure transparency, alignment, and stakeholder confidence. Tracked and analyzed key schedule, quality & financial metrics (Ex) SPI, burn rate, forecast accuracy, margin, and budget compliance. Identified cost leakages and led commercial resets and Estimate at Completion (EAC) recovery initiatives. Proactively identified delivery risks and implemented preventive or corrective actions. Ensured compliance with internal audits, InfoSec requirements, and quality gates. Provided strategic and hands-on leadership to address complex technical and program-level challenges across teams. Defined and managed contract deliverables, including financial constructs, liability clauses, dependencies, and entry/exit criteria. Drove excellence through agile methodologies, quality frameworks, and continuous improvement initiatives. Experience in at least one major enterprise platformSAP, Oracle, Salesforce, Workday, o9 Solutions, or other supply chain platforms. Experience in one or more of the following industries: Health, Products, Communications, Media, Technology, Resources, Utilities, Financial Services, or Life Sciences. Proficiency in one or more business domainsFinance, HR, Supply Chain Management, or Customer Experience. Deep understanding of Agile and SI delivery principles with a focus on transformation excellence, governance, and stakeholder satisfaction. Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool Good to have Skill: SAP Ariba; SAP Business Suite on HANA; SAP FI S/4HANA Accounting Facilitated platform design validations and pivot decisions. Developed and executed platform realignment strategies across engagements. Hands on Experience in at least one major enterprise platformSAP, Oracle, Salesforce, Workday, o9 Solutions, or other supply chain platforms. Delivered thought leadership, mentored technical teams, and developed reusable assets, knowledge bases, and recovery playbooks. Managed and coached high-performing delivery teams. Oversaw knowledge transition, onboarding, and skills alignment for sustainable delivery capability. AMS End to End Recovery experience Lead workforce planning, readiness tracking, and onboarding quality. Exposure to GenAI technologies. Additional Information: The candidate should have minimum 1620 years of experience in SAP Master Data Governance MDG Tool PMI, PRINCE2 or equivalent certification Relevant platform certifications (SAP, Oracle, Salesforce, Workday, o9, Supply Chain Platform etc.). A 15-year full time education is required. Position Open across PAN India Show more Show less

The role based in Kuala Lumpur, Malaysia is seeking an LLM Engineer to work in the technology powerhouse office of the company. The team at Kuala Lumpur office is known for its innovative initiatives and thrives in a fast-paced and challenging environment. They are looking for individuals who are willing to relocate to KL, Malaysia, to join the multicultural team of visionaries and industry rebels in disrupting the traditional finance industry. As an LLM Engineer, you will be responsible for developing and optimizing AI models, specifically focusing on large language models. Your main task will involve enabling innovation and delivering generative AI applications by leveraging Large Language Models (LLMs) and state-of-the-art techniques. You will play a critical role in deploying, optimizing, and scaling GenAI applications to ensure efficient and reliable performance in a production environment. This role will involve close collaboration with Applied Scientists, Data Scientists, and Product teams to bring cutting-edge GenAI solutions to life and scale them to handle increasing loads. Your key responsibilities will include designing, implementing, and maintaining robust, scalable, and efficient GenAI application infrastructure. You will deploy LLMs and other Machine Learning models into production, ensuring high availability and performance. Additionally, you will develop and maintain caching layers to optimize the performance of GenAI applications, implement monitoring and logging systems, and collaborate with Data Scientists to integrate models into existing systems and workflows. It is essential to ensure best practices in Software Engineering are applied to Machine Learning projects and work with cross-functional teams to translate business requirements into technical solutions. To qualify for this role, you should have a strong background in software engineering with a focus on machine learning infrastructure. Proficiency in deploying, scaling, and optimizing Machine Learning models in a production environment is required, along with a solid understanding of distributed systems, microservices architecture, and cloud platforms such as AWS, GCP, and Azure. Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes is essential. Proficiency in Python and experience with other programming languages such as Java, C++, or Go is a plus. Strong knowledge of CI/CD pipelines, coding best practices, version control systems, and DevOps practices is also necessary. It is important to have familiarity with GenAI technologies and frameworks, along with excellent problem-solving skills, communication skills, and the ability to work independently on projects from end-to-end. If you are growth-minded, collaborative, and passionate about fintech, this role offers an opportunity to work in a dynamic environment where teamwork, customer-first approach, and innovation are valued. The company is committed to equal employment opportunities and building a diverse team that represents various backgrounds, perspectives, and skills. The benefits package includes competitive salary packages, bonuses, comprehensive medical, dental, vision, and life insurance benefits, equity-based compensation, wellness perks, paid parental leave, unlimited Paid Time Off, learning and development resources, and flexible working hours.,

As an AI Engineer at Deriv, you will play a key role in revolutionizing the world of CFD trading by leveraging cutting-edge AI solutions. Your responsibilities will involve crafting and refining production-grade prompting strategies for large language models, building and maintaining LLM pipelines using LangChain, and developing frameworks for LLM performance metrics and quality assessments. Additionally, you will design and implement GenAI applications, optimize similarity-based retrieval systems, and architect multi-agent systems for autonomous decision-making. If you enjoy solving complex problems, staying updated on AI technologies, collaborating with diverse teams, delivering high-quality results under tight deadlines, and contributing to the future of online trading through AI, then you will thrive in this role. To excel in this position, you should be proficient in Python with a focus on GenAI best practices, have a deep understanding of LLMs, prompt engineering, and GenAI technologies, be skilled in data analysis tools like Pandas and NumPy, and possess hands-on experience with vector databases such as Weaviate or Pinecone. Strong problem-solving skills, critical-thinking abilities, clear communication skills, and an advanced degree in Computer Science, Machine Learning, or a related field are preferred qualifications. Deriv offers a dynamic work environment where you can make a significant impact by working on transformative AI projects that shape the future of online trading. You will have access to innovative tools, models, and learning resources, competitive compensation, and opportunities for career growth within a forward-thinking team committed to embracing an AI-driven future.,

As a Specialist I in ML Engineering at UST, you will be responsible for designing and implementing AI/ML solutions using advanced frameworks and technologies to ensure scalability, efficiency, and alignment with business goals. Your role will involve developing and optimizing various AI models tailored to specific use cases, such as LangChain, CrewAI, GenAI, and NLP models. Additionally, you will build and deploy production-ready systems like RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. You will leverage Azure and GCP services, including Lambda functions in Python, to deliver high-performing AI solutions. Your responsibilities will also include applying advanced prompt engineering techniques, maintaining CI/CD pipelines, working with GitHub for version control, and using Docker effectively for containerization and deployments in cloud environments. Furthermore, you will ensure that solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency, and implement responsible AI practices. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effectively communicating complex technical concepts to both technical and non-technical stakeholders will be essential in this role. Qualifications for this position include 4+ years of hands-on experience with AI/ML frameworks like PyTorch and TensorFlow, expertise in AWS services, demonstrated experience with RAG systems and chatbot development, deep understanding of LangChain components and advanced NLP techniques, strong knowledge of Docker and CI/CD pipelines, familiarity with best practices in system design, and proven ability to write high-quality production code and work in collaborative environments. As part of UST, you will be working in an environment that values humility, humanity, and integrity. UST is an Equal Opportunity Employer that encourages innovation, diversity, inclusion, and places people at the centre of everything they do. Skills required for this position include RAG systems, chatbot development, AI/ML frameworks, and GenAI technologies. About UST: UST is a global digital transformation solutions provider that partners with clients worldwide to make a real impact through transformation. With over 30,000 employees in 30 countries, UST embeds innovation and agility into their clients" organizations, touching billions of lives in the process.,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhereon premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new placesall in a day's work! MongoDB PS exists to support the development of our customers" vision, accelerate customers" time to value, and drive a multitude of customer adoption scenariosfrom building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. As the lead technical software developer in a small Agile team, you will deliver solutions onsite for customers focused on migrating one of the customer's legacy relational database-based Java applications to a more modern cloud-based architecture running on MongoDB. You will leverage the latest GenAI tools and approaches to accelerate this process. During each project, you will be required to innovate on potential new GenAI-based solutions for specific challenges, in addition to applying existing playbooks and tooling for migration. We are looking for candidates based in Gurugram for our hybrid working model. Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities. Participate as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritize the best ideas. Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions, and guidance to the rest of the team. Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies. Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design, and solution to get from the source state to the target state on each project. Be prepared to change direction on projects if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change. Face-off to lead technical personnel on the customer side to resolve issues and identify solutions. Requirements: - 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead. - Strong proficiency in Java. - Some experience and knowledge of Python or JavaScript/Node.js. - Strong experience in building applications that interact with relational databases using SQL. - Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. - History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control. - Proven experience in leading software/application development projects. - Able to provide technical direction and authority to the whole delivery team (to developers, the project manager, and other customer and executive stakeholders). - Strong written, verbal, and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer's organization. - Strong strategic thinking capabilities to understand and align technical work with business goals. - Ability to travel and work on customer sites for a number of continuous weeks. Nice-to-have skills: - Working knowledge of microservices architectures and Domain-Driven Design approaches. - Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): - Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs. - Practical experience of using MongoDB. Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees" wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

The ideal candidate for the position should have a Master's degree in Computer Science, Data Science, or a related field, with a preference for a Ph.D. They should have 8-12 years of experience in a Data Scientist or equivalent role, including at least 4 years of specialized experience in Generative AI. This experience should involve leading technical development, mentoring teams, and troubleshooting and debugging GenAI models in production. Additionally, candidates should have experience working with financial data, applying NLP techniques, developing and testing Python code for GenAI solutions, integrating with vector databases, and monitoring MLOps pipelines. It is essential for the candidate to stay up-to-date with the rapidly evolving GenAI landscape, continuously learn new tools and techniques, and communicate technical concepts clearly to non-technical stakeholders. Candidates must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation, including deploying, monitoring, and maintaining models in a live environment. Proof-of-concept work alone is not sufficient. Candidates should have expertise in various technical areas such as data structures, algorithms, object-oriented programming, scientific computing (NumPy, Pandas, SciPy), machine learning (Scikit-learn, XGBoost, LightGBM), deep learning (TensorFlow, PyTorch), and GenAI (Transformers, LangChain). Specific skills in LLM architectures, RAG, Advanced Chatbot Architectures, Prompt Engineering, Fine-tuning LLMs, and API Development are required. Expert-level Python skills are mandatory, including proficiency in core Python and key libraries for AI/ML and GenAI applications. The candidate should have proven abilities in designing, developing, and deploying complex GenAI projects, a deep understanding of LLMs, RAG, and advanced chatbot architectures, and experience in designing scalable API architectures for GenAI applications. Preferred qualifications include experience with MLOps, cloud computing platforms, conversational AI solutions, research contributions in Generative AI, and building and managing large datasets for training GenAI models. Strong technical leadership, mentorship skills, and excellent communication and collaboration skills are also essential for this role. Overall, the candidate should be able to articulate the challenges and successes of deploying GenAI solutions at scale, effectively convey technical concepts to diverse audiences, and work collaboratively with stakeholders to meet their needs.,

You should have 6 to 8 years of experience in Appian. Your role will involve designing and developing technical solutions on Appian, along with having extensive knowledge on Process Models, Record Types, Interfaces, and Integrations. It is essential to have knowledge of SQL/ Stored Procedures. Desirable Skills / Preferred Qualifications: - A degree in engineering, computer science, or a quantitative discipline like statistics, physics, or mathematics is preferred. - Banking/ finance or Internal Audit experience is advantageous but not a pre-requisite. - Experience with Infrastructure as Code: CHEF & AWS CloudFormation. - Ability to deploy machine learning models and work with embeddings (Vector stores). - Proficiency in cloud platforms like AWS, Azure & GCP. - Working knowledge of GenAI technologies. - Experience with RDBMS database platforms such as Microsoft SQL Server, MySQL. Location: Pune, Chennai, Bangalore,

Job Requirements This Role shall be responsible to drive Software Quality for Product features/modules being developed with GenAI Technologies and shall own the quality gates for feature readiness for the Module/Feature. The said role shall analyse the feature requirements and derive the required test strategy & coverage based on the feature impact on all relevant platform components using GenAI Technologies. The incumbent shall closely work with the Product Management & Dev feature owner in reviewing the test coverage & strategy to ensure feature quality. Shall derive the test scenarios & associated test cases from the feature requirements and shall conduct dry runs incrementally on the dev builds to enable feature readiness for verification/validation. Shall be well versed with QMS process and while generating the qualitative test artifacts by self, shall also ensure quality reviews for artifacts generated by other SQA members in the team to enable anytime audit readiness. Should be able to perform first line triage for the issues found and should have attention to detail while reporting issues along with all the supporting information. Should have experience in automating the regression test suites using any of the industry standard test automation frameworks. Work Experience Groom the product features by closely working with the product management and development feature leads to come up with test strategy, test scenarios & test cases. Come up with feature test plans, seek test case reviews from product owner & feature lead to derive optimal test plan for the product features. Perform incremental dry runs for the feature during the design & development phase to help identify issues early in the cycle and collaboratively work with the dev team to drive feature readiness towards verification/validation. Adept with the Organizations QMS and be able to produce quality test artifacts that shall help audit readiness for the product any time. Ability to understand the system workflows, impact of feature updates to other related features in the system and be able to translate that to adequate test coverage to find as many issues as possible during dry runs and verification cycle to avoid issue escapes to the field installs. Act as a quality gate keeper to the feature delivery towards program milestones and un-yielding attitude towards product quality Engage closely with product install team to understand the customer site problems, analyze and plug holes in the SQA test coverage to help strengthen the product quality Show more Show less

Job Description Summary We are seeking a dynamic and experienced Senior Manager Install Base (IB) Support to lead the support and lifecycle management of key deployed products. This role is critical to ensuring platform stability, customer satisfaction, and proactive lifecycle planning across four strategic products: Elastic Edge, Data Highway, Mural Clinical Viewer. The IB Manager will lead a cross-functional team of experts and will be responsible for driving operational excellence, cyber compliance, and upgrades, upgrade strategies across the install base. He/she will also lead and implement proactive maintenance and auto healing. Designs, programs, documents, tests, and fixes bugs involved in creating and maintaining applications and frameworks involved in a software release lifecycle resulting in a digital product. Impacts approaches, projects and programs in the functional area or affected business organization and ways of working. Impacts quality, efficiency and effectiveness of own team. Has significant input into priorities. Guided by professional practices and policies that are shaped by the role. The role has moderate autonomy, requiring high levels of operational judgment. Job Description At GE Healthcare, youll be part of a mission-driven team thats transforming healthcare through innovation and technology. This role offers a unique opportunity to lead critical install base operations, drive AI-powered support innovation, and make a tangible impact on patient care and system reliability. Key Responsibilities Customer Support Leadership Lead and manage customer support operations for the install base, ensuring timely resolution of issues and high customer satisfaction. Patch and Upgrade Management Oversee planning and execution of software patches, upgrades, and hotfixes across all supported products. Cybersecurity and EOL Planning Proactively manage cybersecurity upgrades and end-of-life (EOL) transitions to ensure compliance and minimize risk. Platform Stability and Responsiveness Monitor and enhance system performance, availability, and responsiveness across the install base. GenAI-Driven Support Innovation Leverage Generative AI Technologies To Enhance Product Support Through Proactive issue detection and resolution Predictive maintenance strategies Auto-healing capabilities and intelligent alerting Knowledge base generation and intelligent ticket triaging Cross-Functional Collaboration Work closely with product engineering, quality, regulatory, and customer success teams to align support strategies with business goals. Team Leadership and Development Build and mentor a high-performing team, fostering a culture of accountability, continuous improvement, and customer focus. Qualifications Bachelors or Masters degree in Engineering, Computer Science, or related field. 12+ years of experience in software engineering, product support, or technical operations. Proven leadership experience managing cross-functional teams and customer-facing operations. Demonstrated experience managing and supporting healthcare digital products, with a strong understanding of clinical workflows, compliance, and customer expectations. Strong understanding of software lifecycle management, cybersecurity, and regulatory compliance in healthcare or similar domains. Experience or interest in applying AI/ML or GenAI technologies to operational workflows. Excellent communication, problem-solving, and stakeholder management skills. Roles And Responsibilities Design, build, deliver and maintain software applications & services. Working in the areas of machine, cloud, platform and/or application. Responsible for full software lifecycle including activities such as requirement analysis, documentation/procedures and implementation. Typically a 1st line manager of professionals or a 2nd line manager of a professional department. Developing specialized knowledge in their discipline. Serves as best practice/quality resource. Has awareness of latest technical developments in own area. Contributes towards strategy and policy development, and ensure delivery within area of responsibility. Has in-depth knowledge of best practices and how own area integrates with others; has working knowledge of competition and the factors that differentiate them in the market Uses judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology or engineering. Takes new perspective on existing solutions. Uses technical experience and expertise for data analysis to support recommendations. Uses multiple internal and limited external sources outside of own function to arrive at decisions. Acts as a resource for colleagues with less experience. May lead small projects with moderate risks and resource requirements. Explains difficult or sensitive information; works to build consensus. Developing persuasion skills required to influence others on topics within field. Additional Information Relocation Assistance Provided: Yes Show more Show less

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always searching for creative ways to grow and learn, aiming to make a real impact now and in the future. If you resonate with this mindset, you would be a valuable addition to our vibrant international team. As a Product Manager, you will play a crucial role in the following areas: - Defining and executing a clear product vision and strategy for Gridscale X MDM, which includes leveraging AI/ML and GenAI technologies. - Collaborating with business leaders to transform market needs into innovative solutions. - Developing and enhancing product strategies based on customer insights, market trends, and competitive positioning. - Working closely with diverse teams, such as data scientists, application developers, and enterprise architects, to foster product innovation. - Creating detailed product specifications, encompassing use cases, workflows, data sources, analytics, and integration requirements. - Serving as the Product Owner within agile teams, prioritizing backlogs and steering execution. - Establishing, monitoring, and evaluating product success metrics based on customer value and business impact. - Leading go-to-market strategies in collaboration with Sales, Marketing, and Professional Services departments. - Cultivating a robust customer community, advocating for feedback to improve the Gridscale X MDM product suite. To excel in this role, we are seeking a professional with: - 8 to 10 years of product management experience in enterprise SaaS or software platforms. - A Bachelor's degree in computer science, Engineering, Data Science, or a related field. - Background in utility markets and data-driven business solutions. - Preferred industry experience in product management within Meter Data Management, Advanced Metering Infrastructure, Customer Information Systems, Customer Relationship Management, and exposure to customer-facing roles. - Proficiency in enterprise systems with UI front end and backend architecture. - Strong understanding of AI/ML, Generative AI, and data analytics within enterprise applications. - Exceptional skills in presentation, communication, collaboration, and partner management. - Demonstrated ability to translate business strategies into actionable product roadmaps. - Hands-on experience with agile methodologies and software development lifecycles. - Strong analytical capabilities to evaluate market opportunities and build compelling business cases. Join us in creating a better future with Siemens! This position is based in Noida, offering you the opportunity to collaborate with teams that influence entire cities, countries, and the future landscape. Siemens is a global organization comprising over 312,000 individuals shaping the future day by day across 200 countries. We are committed to diversity and encourage applications that mirror the varied communities we operate in. All hiring decisions at Siemens are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to help us shape tomorrow. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

Organization: At CommBank, we never lose sight of the role we play in other peoples 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: Principal Software Engineer - Gen AI Location: Manyata Tech Park, Bangalore Business & Team: CTO- Cloud Modernisation Impact &contribution: As an experienced Principal Engineer who act as thought & technology leader, responsible for providing technical strategy and guidance, overseeing engineering projects of all kinds includes AWS, Cloud Adoption, end to end application design and understanding at enterprise level and good in domain understanding with proven expertise in Gen AI platform engineering and a passion for providing AI-driven solutions, youre ahead of trends and work at the forefront of AI. Roles & responsibilities: Evangelist, leader and champion of strategic practice development across the Gen AI domain. Leader amongst engineers with respected technical views. Lead and direct multiple teams on complex troubleshooting activity. Play a mentoring role in providing design and technical assistance to other members of the team. Utilises an outstanding competency in core business and technical strategies across platforms to deliver best business outcomes. Build Gen AI capability among engineers including but not limited to Knowledge Engineering/prompt engineering/platform engineering. Knowledge Engineering: identifying and gathering relevant domain specific knowledge from various sources and structuring it in a structured way for LLM model to understand and utilize. Platform engineering: Collaborate with other teams to integrate AI solutions into existing workflows and systems to get the platform running and available. They configure and manage the underlying infrastructure that supports the platform, ensuring scalability, reliability, and high availability. Staying up to date on advancements: The field of generative AI is constantly evolving, so staying informed about the latest research and developments, latest releases on different models and their performances are crucial. Ability to develop, suggest best practices of designing infrastructures that support fine-tuning of models to improve performance and efficiency, and troubleshoot any issues that arise during development or deployment. Analyse systems and applications and provide recommendations for design, enhancement and development, and play an active part in their execution. Have a great understanding of software delivery practices and lifecycles in Agile methodologies Essential skills: 16+ years of experience in relevant filed. Strong programming skills in languages (Python/ Java/ C#/ .NET Core) Hands-on experience with cloud platforms (Azure or AWS) and deploying AI models in cloud-native environments. Proven experience in building applications using LLMs and GenAI technologies. Experience with DevOps practices and tools for continuous integration and deployment. Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques. Proficiency in using LLM frameworks and toolkits in one or more such as Langchain, Crew AI, MCP, Cline, Aider, and similar technologies. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills. Education Qualification: Bachelors degree or Masters degree in Engineering in Computer Science/Information Technology. If you&aposre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&aposll need to apply through Sidekick to submit a valid application. Were keen to support you with the next step in your career. We&aposre 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: 16/08/2025 Show more Show less

Ciklum is seeking an Expert Java Developer to join the team full-time in India. As a custom product engineering company supporting multinational organizations and scaling startups, we aim to tackle complex business challenges with a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners. Our goal is to engineer technology that reshapes industries and enhances people's lives. Join us as an Expert Java Developer and become part of a cross-functional development team dedicated to crafting the experiences of tomorrow. Embrace new technologies and approaches, especially those related to GenAI advancements, as projects evolve. Stay updated on the latest GenAI developments and leverage cutting-edge solutions for migration projects. As a software developer on small Agile teams, you will deliver software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow migration playbooks and innovate when necessary to overcome project-specific challenges. Collaborate in sprint grooming, planning, and showcases, contributing ideas and suggestions. Requirements for this role include a minimum of 10 years of software development experience, strong proficiency in Java, and expertise in building applications that interact with relational databases using SQL and PL/SQL. Familiarity with Enterprise Java application architectures and Agile methodologies is essential. Desirable skills include knowledge of microservices architectures, Domain-Driven Design approaches, Python, JavaScript/Node.js, and ORMs like Hibernate or JPA. At Ciklum, we prioritize your well-being by offering comprehensive company-paid medical insurance and support for your mental and physical health. Enhance your skills with tailored education paths, internal events, language courses, and certifications. Collaborate with skilled professionals globally and locally in a growth environment that encourages sharing experiences and expertise. Enjoy a hybrid work mode in Chennai or Pune with opportunities for professional growth and career development. Work on large-scale projects that have a global impact and be part of a welcoming environment with regular team-building events. Join us in shaping the experiences of tomorrow and creating innovative solutions in a dynamic and supportive company culture. India is a key growth market for Ciklum, and we invite you to be part of this exciting journey. Submit your application to join our team and embark on a rewarding career with us. Let's innovate and grow together at Ciklum - where experiences of tomorrow are engineered collaboratively. Apply now and be part of our story!,

AI Project Manager is a senior project management role focused on leading the development and implementation of AI/GenAI projects. The ideal candidate will have a strong understanding of AI/GenAI technologies, experience managing complex projects in a technical environment, and the ability to lead and motivate cross-functional teams. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Define project scope, objectives, and deliverables in collaboration with stakeholders. Develop detailed project plans, including timelines, milestones, and resource allocation. Monitor project progress and make adjustments as necessary to ensure successful completion. Act as the primary point of contact for project stakeholders. Communicate project status, risks, and issues to stakeholders in a timely manner. Manage stakeholder expectations and ensure alignment with project objectives. Prepare and present project reports to stakeholders and senior management. Responsible for defining project scope, managing timelines and budgets, ensuring quality deliverables, and communicating effectively with stakeholders. KEY SKILLS AND EXPERIENCE You Have: Bachelor's or Master's degree in Computer Science with overall experience of 10-15 years and working as a Project Manager, preferably in AI/ML or technology platforms. Strong understanding of GenAI technologies and development processes. Experience with Agile methodologies and product management tools. Leadership experience in a technical project management role. Excellent problem-solving, organizational, and analytical skills. It would be nice if you also had: Experience in managing AI/ML platforms or tools. Familiarity with software development and data science workflows. Ability to translate complex technical concepts into clear, actionable plans.

You have a great opportunity to join our team as an Appian Developer in Pune, Chennai, or Bangalore. With 4+ years of experience in Appian, you will be responsible for designing and developing technical solutions on the Appian platform. Your role will involve working with Process Models, Record Types, Interfaces, and Integrations, requiring extensive knowledge in these areas. Additionally, you should have a good understanding of SQL and Stored Procedures. Ideally, you will have a degree in engineering, computer science, or a quantitative discipline such as statistics, physics, or mathematics. While not mandatory, experience in Banking/Finance or Internal Audit would be beneficial. Moreover, familiarity with Infrastructure as Code tools like CHEF and AWS CloudFormation, as well as Machine Learning concepts including deploying models and working with embeddings, will be advantageous. In this role, proficiency in Cloud Computing is essential, with experience in cloud platforms like AWS, Azure, and GCP being highly valued. Knowledge of GenAI technologies and RDBMS database platforms such as Microsoft SQL Server and MySQL will also be beneficial for your success in this position.,

Oracle Cloud Infrastructure (OCI) is leading cloud innovation, combining startup agility with the reliability of a top enterprise software provider. The AI Science team focuses on cutting-edge machine learning solutions that address real-world challenges at scale. We are seeking an experienced Sr. Applied Scientist (IC3) with expertise in Generative AI and Computer Vision to develop highly complex and accurate data science models. As a Senior Applied Scientist, you will work on secure, scalable, and innovative AI solutions utilizing advanced techniques in computer vision and GenAI technologies. Key Responsibilities: - Develop advanced AI models and algorithms, particularly in large language model, large multimodal, computer vision, and foundational models. - Design, implement, and test critical features of AI services ensuring correctness, high availability, scalability, and cost-effectiveness. - Advocate best practices for testing, benchmarking, and model validation to ensure reliability and performance. - Analyze ML models, optimize for accuracy and latency, and handle large-scale training and production deployment. - Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. - Implement machine learning algorithms from scratch to production, work with complex data sets, and proactively address technical issues. - Collaborate with product managers, engineering leads, and data teams to define requirements and ensure data quality. - Leverage Oracle Cloud technology to develop best-in-class computer vision solutions for Oracle's business domain at scale. Preferred Qualifications: - Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field. - Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. - Strong foundation in deep learning architectures like CNNs, transformers, diffusion models, and multimodal models. - Proficiency in high-level languages such as Python, Java, or C++, and experience in ML algorithm design and production deployment. - Familiarity with working in cloud environments like Oracle Cloud (OCI), AWS, GCP, or Azure, and Agile development processes. - Strong problem-solving skills, a drive to learn new technologies, and an ability to thrive in a fast-paced work environment. This role offers an opportunity to contribute to cutting-edge AI solutions, collaborate with cross-functional teams, and drive innovation in the field of computer vision.,

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

As a Senior AI Engineer at our leading global credit rating and financial analytics organization, you will play a key role in leveraging cutting-edge AI and analytics to redefine how financial intelligence is powered and delivered. In this role, you will have the opportunity to work on state-of-the-art solutions and drive our AI capabilities into the future. You will be at the forefront of AI innovation in finance technology, with exposure to next-gen GenAI techniques. Collaborating with dynamic global teams spanning finance, technology, and client solutions, you will work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Your responsibilities will include developing and deploying advanced AI solutions using the latest Generative AI techniques, such as Retrieval-Augmented Generation (RAG) pipelines, designing and building Agentic AI systems, and fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation. In addition, you will build scalable AI workflows, lead the end-to-end AI solution development lifecycle, and collaborate closely with cross-functional global teams to translate business challenges into AI-driven solutions. You will continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. To be successful in this role, you should have 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and experience deploying AI/ML solutions on cloud platforms are essential. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus, along with decent communication skills and a self-driven, proactive mindset. You should hold a Bachelors or Masters degree from premier Indian institutes in Computer Science, Any Engineering discipline, Mathematics, or related quantitative fields. Benefits of this role include a hybrid work model, continuous learning budget, and opportunities to work on industry-leading AI research. If you are eager to push boundaries of AI in financial analytics and thrive in a global, fast-paced environment, we encourage you to apply now and step into the Future of Financial technology with AI.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

As part of our team at Pega, you will be working alongside a group of dedicated engineers who are driven by motivation and a strong sense of ownership. Our focus is on building high-quality software to ensure success for our customers. We believe in excellence and utilize agile methodologies to achieve our goals. Collaboration and support are key components of our work environment as we strive to innovate and make our products stand out using the latest technologies. In your role at Pega, you will lead engineering teams responsible for developing core features of the Pega Launchpad platform. This platform is cloud-native, scalable, and fault-tolerant, with a focus on integrating GenAI capabilities and enabling the Vibe coding paradigm. Your responsibilities will include setting clear goals for your team, providing continuous feedback, and ensuring that best engineering practices are followed to build top-notch software. Your expertise in database and data integration technologies, along with your experience in software development, will be crucial in translating requirements into application features. You will work closely with product management to define technical and architectural solutions, ensuring the quality and timely delivery of features. With over 9 years of experience in software development, you have a proven track record of delivering high-quality solutions that meet client expectations. Your background in enterprise-level, cloud-native software, coupled with your experience in managing high-performing teams, makes you an ideal candidate for this role. Your hands-on experience with cloud-native software and GenAI technologies will be instrumental in driving innovation and productivity within the team. At Pega, you will have the opportunity to work in a dynamic and inclusive environment that fosters continuous learning and development. Join us in our mission to deliver cutting-edge solutions and make a meaningful impact in the world of software development. Job ID: 22267,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere - on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day's work! MongoDB PS exists to support the development of our customers" vision, accelerate customers" time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. As the lead technical software developer in a small Agile team, you will be delivering solutions onsite for customers focused on migrating one of the customer's legacy relational database-based Java applications to a more modern cloud-based architecture running on MongoDB. You will be leveraging the latest GenAI tools and approaches to accelerate this process. During each project, you will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Mumbai for our hybrid working model. Position Expectations: - Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. - Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities. - Participate as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. - Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritize the best ideas. - Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions, and guidance to the rest of the team. - Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies. - Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design, and solution to get from source state to target state on each project. - Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change. - Face-off to lead technical personnel on the customer side to resolve issues and identify solutions. Requirements: - 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead. - Strong proficiency in Java. - Some experience and knowledge of Python or JavaScript/Node.js. - Strong experience in building applications that interact with relational databases using SQL. - Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. - History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines, and using Git version control. - Proven experience in leading software/application development projects. - Able to provide technical direction and authority to the whole delivery team (to developers, the project manager, and other customer and executive stakeholders). - Strong written, verbal, and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer's organization. - Strong strategic thinking capabilities to understand and align technical work with business goals. - Ability to travel and work on customer sites for a number of continuous weeks. Nice-to-have skills: - Working knowledge of microservices architectures and Domain-Driven Design approaches. - Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): - Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs. - Practical experience of using MongoDB. Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees" wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

You will play an active role in all aspects of defining the experience of a new application, including identifying user needs, prototyping, iterative end-user validation, and testing/supporting produced code. Your responsibilities will involve interpreting business requirements into effective UI and server-side specifications, building prototypes to explore new scenarios and optimizations of existing solutions, and working collaboratively with Product managers and UX/Design team members from diverse technical, creative, and business backgrounds to develop complex solutions. Additionally, you will review designs, code, and approve solution approaches, provide leadership to junior team members, and work alone or with a small group of people on projects in a self-directed and mature manner. Maintaining a very high-quality bar in projects from the start and championing quality improvements by implementing better technical practices will be crucial. You are expected to multi-task and provide efficient input on Development activities while assisting in developing, organizing, and maintaining technical practices along with the manager and actively engaging in rolling out improvements. Collaboration with teams/stakeholders across multiple geographies will also be part of your responsibilities. To qualify for this role, you should have 3-5 years of Frontend Development experience and experience in the development of Cloud-enabled applications and Responsive Web Applications with a focus on great User Experience. Excellent verbal and written communication skills are essential, along with a deep understanding of Web UI, HTML5, CSS, JavaScript, and hands-on experience with React, Redux, Webpack, Saga, Material UI, NodeJS, and other related technologies. Strong problem-solving and analytical skills with exposure to real customer problems are required, as well as a good understanding of Design Patterns, TDD, Cloud First principles, OOPs concepts, RESTful services, and Data Structures, especially XML and JSON operations. Exposure to AI/ML/GenAI technologies and their use in designing cutting-edge solutions is a plus. You should have a deep understanding of the E2E request/response cycle between client and server, knowledge of CSS Frameworks like Bootstrap, LESS, or SASS, and hands-on experience with Unit Testing frameworks like Cypress, Jest, Mocha, chai, etc. Experience with version control systems like GIT and build tools like Gradle and Jenkins, as well as good knowledge of Workers, Socket Programming, ECMA2015, ECMA5, cross-browser scalability & compatibility, troubleshooting, debugging, caching, fixing memory leaks, performance tuning, and open-source tech will be beneficial for this role.,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. They enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. MongoDB's industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere - on-premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. The role in MongoDB PS solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day's work! MongoDB PS exists to support the development of customers" vision, accelerate customers" time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Consulting solutions ensure that organizations get the best out of MongoDB. As a software developer in a small Agile team, you will be delivering solutions onsite for customers focused on migrating legacy relational-based Java applications to a modern cloud-based architecture running on MongoDB. You will be leveraging the latest GenAI tools and approaches to accelerate this process. During each project, you will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. Position Expectations: - Be a part of and mentor agile teams as a senior developer, focusing on end-to-end migration of enterprise-grade Java applications using SQL-based databases to modern, cloud-based MongoDB architectures - Pioneer the use of GenAI technologies to overcome complex migration challenges, bringing creativity to adopt the latest tools and approaches for each unique project - Analyze existing SQL-based architectures, including extensive work with stored procedures, system design, and enterprise integration, and design optimal solutions to modernize and streamline applications - Collaborate with stakeholders across technical and business units, serving as a strategic advisor for enterprise clients - Guide and mentor junior team members, providing direction and fostering a collaborative team environment - Showcase advanced debugging skills, identifying and resolving technical issues promptly, even in high-stakes environments Technical Skills And Requirements: - 7-10 years of software development experience, with strong proficiency in Java, including multithreading, AOP, and enterprise-grade frameworks such as Spring Boot and/or Quarkus - Previous direct exposure to enterprise-grade systems is a must - Expertise in relational databases, particularly in SQL, stored procedures, and ORM tools like JPA and Hibernate - Extensive experience with system design, microservices architectures, and Domain-Driven Design approaches - Demonstrated history of delivering high-cadence applications through Agile methodologies, TDD, CI/CD pipelines, and Git version control - Excellent skills in stakeholder management, with proven success leading teams and collaborating cross-functionally - Familiarity with Python and JavaScript (Node.js) is a plus Bonus Skills: - Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP - Knowledge of containerization and orchestration tools like Docker and Kubernetes - Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects Key Competencies: - Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences - Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations - Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices Additional Considerations: Due to the highly regulated nature of the industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth. Why MongoDB Join MongoDB in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience. To drive the personal growth and business impact of employees, MongoDB is committed to developing a supportive and enriching culture for everyone. From employee affinity groups to fertility assistance and a generous parental leave policy, MongoDB values employees" wellbeing and wants to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB and help make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within the application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,