Job Title: Principal Engineer -Data Engineering Company: Wells Fargo Job Category: Machine Learning Roles & Responsibilities: About this role: Wells Fargo is seeking a highly motivated Principal Engineer to design, architect, and lead Data Engineering initiatives within the HR Information Technology organization. This role requires a hands‑on technologist who can anchor critical initiatives to drive operational excellence and enhance employee and customer experience. The Principal Engineer will provide technical leadership across the design, development, and operationalization of Data and Generative AI solutions, while shaping the enterprise HR data strategy. This role will oversee the architecture and delivery of scalable, secure, and resilient data engineering solutions across the HR data ecosystem, enabling advanced analytics, AI‑driven insights, and next‑generation HR capabilities. The Principal Engineer will also act as a trusted advisor to senior leadership, influencing architecture decisions, solution design, and implementation strategies to ensure alignment with business objectives, enterprise standards, and long‑term technology strategy. In this role, you will: * Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups * Lead the strategy and resolution of highly complex and unique challenges requiring in\-depth evaluation across multiple areas or the enterprise, delivering solutions that are long\-term, large\-scale and require vision, creativity, innovation, advanced analytical and inductive thinking * Translate advanced technology experience, an in\-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions * Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions * Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization * Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership * 7\+ years of progressive engineering experience with sustained hands‑on expertise in architecture, system design, and end‑to‑end solution development. * 7\+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloud‑native, lakehouse‑based architectures * 3\+ Years of Hands\-on experience in transformation of legacy data framework to modern stack in private or public cloud. * Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, Real‑Time Analytics, Power BI integration). * Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog * Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam) * Strong hands‑on background of developing large scale enterprise applications. * Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture. * Hands on experience in building modernized applications using Microservice architecture. * Cloud\-native engineering experience — serverless, managed Spark, event\-driven architectures. * Familiarity with containerization (Docker, K8s) and workflow operators. * Knowledge of data governance platforms (Collibra, Alation, Purview). * Experience implementing lineage, observability, drift detection. * Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decision‑making, automation, and predictive insights. * Strong background in AI, Machine Learning, GenAI, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows. * Enterprise Technical Stewardship + Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise. + Define and evolve enterprise‑scale architectures for Data modernization ensuring alignment with security, risk, and regulatory requirements. * Hands‑On Leadership + Remain deeply hands‑on—designing, reviewing, and occasionally coding critical components to set a high engineering bar. + Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices. * Influence \& Thought Leadership + Serve as a visible technical spokesperson internally and externally, presenting ideas, architectures, and innovation narratives with clarity and conviction. + Mentor senior engineers and architects, raising the overall technical maturity of the organization. + Foster a culture of engineering excellence, curiosity, and continuous learning. * Outside‑In Innovation + Continuously scan the external ecosystem to bring new ideas, technologies, and patterns into the enterprise in a pragmatic, value‑driven manner. + Challenge legacy thinking and advocate for simplification, modernization, and platform thinking. + Balance innovation with operational stability, risk management, and long‑term sustainability. * Data Engineering + Responsible for designing, developing, optimizing, and maintaining metadata‑driven, scalable, high‑performance data engineering frameworks that power critical data ecosystem in the HR space. + Define and execute the enterprise data engineering roadmap aligned to business priorities. + Mentor data engineering teams delivering scalable, secure, and high quality data solutions. + Partner with architecture, product, analytics, and risk teams to drive data driven decision making. + Track industry trends, evaluate relevant tools/platforms, and adapt the best practices, * AI / GenAI Enablement + Drive the strategy, adoption, and governance of AI and GenAI capabilities across HR initiatives. + Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions. + Identify high‑value use cases and guide teams from proof‑of‑concept to production at scale. * Outcome‑Driven Execution + Measure success through business impact, not just technical delivery—improved time‑to‑market, developer productivity, system resilience, and customer outcomes. + Partner closely with stakeholders to ensure technology investments deliver durable, enterprise‑wide value. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance\-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: Karnataka, India Availability: Full time
Job Title: Principal Consultant GIS Company: WSP Job Category: Machine Learning Roles & Responsibilities: WSP India is currently looking for a talented Principal Consultant – GIS to contribute \& involve assisting with data management and mapping activities related to WSP AU projects systems. The position will be for BANGLORE/MUMBAI/NOIDA location . This is a hands\-on technical and delivery\-focused role. This position provides opportunities to contribute to advanced GIS, automation, digital and strategic initiatives. A significant component will involve day\-to\-day project delivery, including routine GIS activities and supporting the operational requirements of Australian project teams. * Build and maintain strong relationships with Australian business stakeholders to ensure effective communication, alignment on priorities, and successful project delivery. * Collaborate with multiple stakeholders across Australia and global GCC teams to manage work pipelines and ensure timely delivery of geospatial services. * Act as a trusted advisor for GIS, spatial analytics, and digital transformation initiatives. * Manage and prioritise GIS work pipelines, balancing project requirements, resource capacity, deadlines and technical complexity. * Take ownership of GIS delivery for assigned projects, including scope, programme, quality, risks and technical outcomes * Facilitate collaboration across regions to promote consistency, innovation, best practices, and knowledge sharing. * Provide regular status updates, identify delivery risks, and implement mitigation strategies. * Support business development activities, proposals, estimates, and technical solution development. Technical Leadership \& Team Development * Provide leadership, mentoring, and technical guidance to GIS professionals and project teams. * Provide technical oversight and direction on complex or higher\-risk GIS tasks and projects * Drive continuous improvement of GIS delivery standards, processes, and technical capabilities. * Conduct technical reviews and ensure compliance with organizational quality standards. * Support capability development through technical training, coaching, and knowledge\-sharing initiatives. * Support the development of junior and intermediate GIS professionals through technical guidance and constructive review * Foster a culture of innovation, collaboration, and service excellence within the GCC\-AU Digital Services Team. * Design, develop, manage and maintain geospatial datasets, databases and GIS solutions appropriate to project requirements. * Perform spatial analysis, data validation, digitization, feature attribution, topological corrections, and data integration activities. * Capture and maintain infrastructure, utilities, environmental, land management, and operational datasets from imagery and multiple data sources. * Produce and oversee high\-quality maps, dashboards, web applications, reports, and spatial visualizations supporting business decision\-making. * Provide technical advice on spatial data structures, workflows, analysis methods and GIS solution design. * Ensure compliance with GIS standards, data governance policies, and quality management systems. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. * Identify opportunities for process optimization and service enhancement through automation. * Utilize advanced spatial analytics and location intelligence techniques to generate business insights. * Contribute to the adoption and implementation of GeoAI, machine learning, and AI\-driven geospatial solutions. * Evaluate emerging technologies and provide recommendations to improve business outcomes and operational efficiency. * Develop and implement automated GIS workflows using Python, , Model Builder, FME, ArcGIS tools, and other digital or coding technologies would be a plus. Infrastructure, Environment, Resources \& Asset Data Management * Support mining activities, asset management, infrastructure planning, environmental compliance, land access, disturbance footprint assessments, and operational GIS programs. * Perform geospatial assessments, asset register reviews, utility analysis, and data validation activities. * Deliver accurate spatial information products supporting operational and strategic decision\-making. * Ensure integrity, accuracy, and usability of geospatial information across the asset lifecycle. * Lead Quality Assurance and Quality Control (QA/QC) activities for GIS deliverables and spatial datasets. * Maintain compliance with organizational standards, governance frameworks, and quality management systems. * Develop and maintain technical documentation, workflows, standards, and procedures. * Promote continual improvement in geospatial service delivery and data quality. * Strong understanding of GIS data quality, governance, metadata and spatial data management principles. WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation \& Infrastructure, Property \& Buildings, Earth \& Environment, Power \& Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. * WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Maharashtra, India Availability: Full time
Job Title: Sr Software Engineer Company: Gartner Job Category: Machine Learning Roles & Responsibilities: Join a world\-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting\-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome\-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is seeking a talented and passionate Senior Software Engineer to join our growing Search Platform team. In this role, you will be responsible for building the foundational data and services for AI Products and Insights team. You will closely collaborate with Product Managers, Data Scientists and Cloud teams to expand the reach and accuracy of our Agentic and Search Solutions. * Technical Leadership : Provide leadership and guidance for medium\-sized initiatives, ensuring solutions are scalable and incorporate strategic considerations. * System Architecture: Contribute actively to architectural discussions and design sound, maintainable web services using Java or Python. * Engineering Standards: Promote organizational values within the team and ensure technical decisions align with broader team goals and best practices. * API Development: Build and performance tune highly scalable APIs * Developing Search Algorithms : Implementing advanced search algorithms leveraging search engine features such as vector search, natural language processing, personalization, and other state\-of\-the\-art technologies. * AI\-Powered Retrieval: Build and optimise reusable lexical, vector, and hybrid search services that provide relevant contextual information for AI products and agentic experiences, collaborating with Data Scientists to improve retrieval quality. * Agentic Search Integration: Develop reusable search tools and APIs for integration into agent frameworks, enabling AI agents to retrieve information and combine search capabilities within multi\-step workflows. Partner with Product Managers, Data Scientists, and Cloud teams to deliver scalable agentic search solutions. * Relevancy Model Development: Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data. * Search Result Tuning Based on Business Metrics: Collaborating with product and business teams to fine\-tune search results to align with business goals like conversion, engagement, and retention * Performance Tuning : Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics. * Integration: Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring. * Data Pipeline Management: Developing and maintaining scalable data pipelines to ensure efficient data flow, low\-latency indexing, and real\-time search capabilities. * Data Analysis: Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience. * Data \& ML Integration: Design and implement robust ETL/ELT pipelines and ML Engineering workflows that meet performance and reliability requirements. * Strategic Communication: Develop strong communication skills to articulate technical concepts to various stakeholders and influence technical direction at the Business Unit level. * Mentorship: Actively seek opportunities to mentor junior and peer engineers, fostering a culture of continuous learning and growth. * Experience: 3\-2-3 years of experience in the IT industry. * API Development: Experience and strong knowledge about REST APIs, API performance / scaling and best practices * Advanced Engineering: Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems. * Backend Mastery: Significant experience developing and maintaining production\-scale, customer\-facing web services. * Search \& Storage: Hands\-on exposure and solid understanding of different storage engines (SQL and NoSQL, Search Engines). * Cloud \& DevOps: Familiarity with AWS environments and a working knowledge of CI/CD pipelines and DevOps practices. At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission\-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in \~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Work Location: Gurgaon, India Availability: Full time
Job Title: Assistant Vice President, Specialist Data Scientist, Transformation and Data Company: DBS Bank Job Category: Machine Learning Roles & Responsibilities: Business Function Group Operations enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality \& control, technology, people capability and innovation. In Group Operations, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. As an Operations Department, we embrace and reinforce the strong PRIDE! culture that is built up in DBS. This is done through strategic focus on training and improving staff capability, empowerment, productivity, teamwork, innovation \& technology, managing operational risks \& strongly collaborating with our business partners in delivering excellent RED service to our customers. Responsibilities * Collaborate with business units across DBS to identify opportunities where data science and machine learning can drive business value and optimize banking processes. * Design, build, and deploy robust machine learning models, focusing on end\-to\-end model development from data ingestion to production. * Lead the development and execution of Generative AI (GenAI) Proof of Concept (POC) initiatives, evaluating their feasibility, performance, and alignment with business goals. * Perform complex data analysis, feature engineering, and statistical modeling to extract actionable insights from large\-scale banking datasets. * Establish evaluation frameworks and metrics to monitor, validate, and continuously improve the performance of deployed models and GenAI solutions. * Partner with data engineers and IT teams to integrate data science models into scalable, secure production environments. Work Location: Mumbai, Maharashtra, India Availability: Full time
Job Title: SR. Python (AIML and GenAI) Company: Cognizant Job Category: Machine Learning Roles & Responsibilities: Implements and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments. Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions. Overall knowledge of the Python Software Development Life Cycle Knowledge of model development processes and lifecycle in an ML environment. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Advanced Data Science Associate Company: ZS Associates Job Category: Machine Learning Roles & Responsibilities: : ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side by side with a powerful collective of thinkers and experts shaping life\-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing aclient\-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life\-changing impact to ZS. : Insights \& Analytics ZS's Insights \& Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem\-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you’lldo: How you’ll grow:* Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions * Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations \| Where we work \| ZS. Work Location: Karnataka, India Availability: Full time
Job Title: Lead I - ML Engineering Company: UST Job Category: Machine Learning Roles & Responsibilities: Role description Who we* are:* Summary: UST is looking for a strong hands\-on AI/ML Fullstack Engineer with 5 to 8 years of overall experience, combining applied AI/ML expertise (SciKit\-learn, Deep Learning, Computer Vision), Java Fullstack development, and deep Oracle Revenue Management and Billing (ORMB) domain knowledge to automate enrollment and billing processes for healthcare platforms.* The Opportunity: · Design, build, and productionize machine learning models and intelligent automation to improve billing accuracy, enrollment processing, and document/image handling. · Deliver and support Oracle Revenue Management and Billing (ORMB) configuration, Java microservices, and modern UI components. · Manage the end\-to\-end ML lifecycle from data preparation, model training, and evaluation to deployment, monitoring, and retraining. · Translate complex technical and functional requirements into robust ML models, APIs, and ORMB/Java solutions. · Resolve technical issues and errors during development, batch execution, and production support. · Act as a Point of Contact (POC), mentor junior associates, and collaborate effectively with onshore/offshore stakeholders in an Agile SCRUM environment. · Ensure adherence to coding, model governance, and testing standards through design and code reviews.* What you need: · 5 to 8 years of overall IT experience, including 3\+ years of hands\-on Machine Learning / Deep Learning development. · Strong expertise in US healthcare Enrollment \& Billing and Member Billing processes (group/individual enrollment, premium billing, invoicing, payments, adjustments, delinquency, reconciliation). · Strong logical, analytical, and problem\-solving skills with the ability to work independently and meet strict timelines. · Excellent communication and stakeholder\-management skills to articulate work and collaborate with cross\-functional teams (including Elevance Health vendors). · Flexibility to extend work hours as per project demand when necessary.* Required Skills: · Applied AI/ML \& Deep Learning: Python, SciKit\-learn, TensorFlow/PyTorch, Pandas, and NumPy · Computer Vision: OpenCV, CNNs, OCR, and document image processing (enrollment forms/billing extraction) · Java Fullstack Development: Java 8\+/11\+, Spring Boot, REST microservices, Hibernate/JPA, Angular or React · Oracle Revenue Management and Billing (ORMB): Customer, Account, Billing, Payments, Rating/Pricing configuration, Algorithms, Batch jobs, and Plug\-in scripts · Data \& SQL: Strong SQL and Oracle database skills for data extraction, feature engineering, and validation · End\-to\-End ML Lifecycle: Data prep, training, evaluation, REST/batch deployment, monitoring, and retraining* We honour our commitments and act with responsibility in all our relationships.* UST* reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.* * To support and promote the values of UST.* Scikit\-learn, Computer Vision, Enrollment, Member Billing, Oracle Revenue Management and Billing, Oracle, Java Work Location: Karnataka, India Availability: Full time
Job Title: Staff Data Scientist Company: Qualcomm Job Category: Machine Learning Roles & Responsibilities: General Summary The Staff Data Scientist / Full Stack Developer is a senior, hands on individual contributor responsible for designing, building, and operationalizing traditional machine learning models, agentic AI systems, and Databricks native data applications that drive real business outcomes. This role operates at the intersection of data science, ML engineering, and full stack data application development, with a strong focus on production grade solutions. This position requires deep expertise with AI assisted development of classic ML techniques, agent based AI workflows, and Databricks application development, along with strong ownership of end to end delivery—from data preparation and modeling to deployment, monitoring, and user facing experiences. Key Responsibilities * Design, develop, and deploy traditional machine learning models, including regression, classification, clustering, time series forecasting, and anomaly detection. * Perform feature engineering, model selection, training, validation, and performance tuning on large scale enterprise datasets. * Apply sound statistical and ML best practices to ensure model robustness, explainability, and business relevance. * Design and implement agentic AI workflows, where autonomous or semi autonomous agents orchestrate data access, ML inference, decision logic, and actions. * Build multi step agent pipelines that combine rules, ML models, and reasoning components to solve complex business problems. * Integrate agentic systems with enterprise data, ML models, and applications to enable intelligent automation and decision support. Databricks Application Development * Design and develop Databricks native applications, including notebook based apps, interactive dashboards, and parameterized data/ML workflows. * Build data and ML services/APIs leveraging Databricks, Python, and Lakehouse capabilities. * Partner with analytics, BI, and application teams to embed ML insights, predictions, and agent outputs directly into Databricks apps and business workflows. * Ensure Databricks apps meet performance, security, governance, and usability standards. * Operationalize ML models and agentic workflows into production pipelines, ensuring scalability, reliability, and monitoring. * Collaborate with data engineering teams to leverage curated Lakehouse data, feature stores, and governed datasets. * Implement model monitoring, drift detection, and retraining strategies to maintain long term model effectiveness. * Develop end to end solutions that span data ingestion, modeling, ML inference, agent execution, and user facing applications. * Translate business and analytical requirements into scalable, maintainable ML powered data products. * Enable downstream consumption through Databricks apps, dashboards, APIs, and integrated enterprise applications. Production Support \& Operational Excellence * Own production ML models, agentic systems, and Databricks applications, including monitoring, troubleshooting, and root cause analysis. * Implement logging, alerting, and observability for models, agents, and applications. * Drive continuous improvements in model accuracy, system reliability, and user experience. Technical Leadership \& Influence * Familiarity with Lakehouse architectures, feature stores, and ML lifecycle management. * Experience with MLOps practices, CI/CD, model monitoring, and retraining pipelines. * Exposure to cloud platforms (e.g., AWS) and scalable ML infrastructure. * Experience embedding ML and agent outputs into enterprise applications or analytics platforms. * Knowledge of data governance, access controls, and secure ML deployment. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e\-mail disability\-accomodations@qualcomm.com or call Qualcomm's toll\-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). If you would like more information about this role, please contact Qualcomm Careers. Work Location: Greater Hyderabad Area Availability: Full time
Job Title: Software Engineer II (Python - backend developer) Company: Barracuda Networks Job Category: Machine Learning Roles & Responsibilities: Job Description Job ID \- 27\-0434 Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. The Barracuda Central Intelligence team is looking for a highly skilled and passionate Software Engineer II to join our cross\-functional Agile team. Our team collects, aggregates, enriches, and distributes threat intelligence across the company to power threat detection systems that protect our customers. As a Software Engineer II, you will build, enhance, and maintain scalable, highly concurrent, low\-latency services owned by the Central Intelligence team. You will collaborate closely with SRE, Data Engineering, QA, and Operations to ensure high\-quality deliverables. If you have what it takes to excel in this role, we’d like to talk to you. * Cloud Platforms: AWS * CI/CD: GitHub/GitHub Actions, Jenkins * Product Technology: AWS (Server \& Serverless), ECS/ Kubernetes, Docker * Programming Languages: Python * Monitoring: CloudWatch, Kibana/Grafana * Data Storage: AWS S3, Elasticsearch * Database: DynamoDB/Casandra, MySQL * Streaming/Messaging Queues : Kafka, SQS, SNS * Caching: Redis, Hazlecast * AI/Machine Learning: Large Language Models (LLMs), AI APIs (e.g., OpenAI, Anthropic), Prompt Engineering * Email security domain knowledge will be a plus * Develop Software: Build solutions using Python, AWS, Kafka and NoSQL/SQL databases. * Team Collaboration: Gather requirements, define specs, and ensure timely delivery with cross\-functional teams. * CI/CD Implementation: Use DevOps tools for continuous integration and deployment. * Stay Current: Update on AWS, Python, and DevOps trends for innovative solutions. * Troubleshoot: Resolve technical issues for application stability. * Optimize: Improve system efficiency and scalability. * Document: Maintain technical documentation and user manuals * Integrating Artificial Intelligence and Machine Learning capabilities into our systems to drive automation, intelligent threat detection, and advanced product features. What you bring to the role: Work Location: Karnataka, India Availability: Full time
Job Title: Senior Data Scientist Company: JioStar Job Category: Machine Learning Roles & Responsibilities: Job Summary\~ As a Senior Data Scientist with expertise in the GenAI stack (audio \& video generation models), you will lead the research, analysis, and development of advanced video generation models to enhance JioStar’s current and prospective content production. This initiative aims to achieve quantifiable improvements in user engagement, satisfaction, and retention, driven by data\-driven innovations. Key responsibilities\~ * Design, prototype, and refine deep learning models for text\-to\-video and image\-to\-video generation using cutting\-edge techniques in generative AI (e.g., diffusion models, transformers, temporal GANs) * Collaborate with 3rd\-party AI vendors to evaluate their capabilities, run quality benchmarks, and drive technical integration where applicable * Lead the creation of in\-house solutions to augment 3rd\-party offerings, with a focus on improving video quality, generation time, and content relevance * Develop robust pipelines for dataset curation, preprocessing, training, and model evaluation, including automated visual, temporal, and semantic quality metrics * Work closely with product managers, engineering teams, and senior leadership to define use cases, set priorities, and bring production\-grade AI systems to life * Run A/B tests, iterate based on performance feedback, and ensure alignment with product experience goals and creative quality standards * Stay ahead of the curve in the fast\-moving GenAI space; guide strategy, share insights internally, and represent the team in technical forums as needed About Us\~ Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media \& entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies. Work Location: Bengaluru, Karnataka, India Availability: Full time
