15067 Ml Jobs - Page 16

JOB DESCRIPTION If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer & Community Banking, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals. Job responsibilities Design and architect scalable, responsive web and mobile applications using modern technologies and frameworks. Collaborate with product managers, developers, and UX/UI designers to translate business requirements into technical solutions. Ensure all applications adhere to industry-standard security best practices and compliance requirements. Provide technical leadership and guidance to development teams throughout the project lifecycle. Evaluate and recommend new technologies and tools to enhance the development process and product quality. Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs Defines the technical target state of their product and drives achievement of the strategy Participates in architecture governance bodies Evaluates recommendations and provides feedback on new technologies Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Proven experience as a Solution Architect or similar role in digital web and mobile application development. Strong proficiency in responsive web design principles and frameworks such as React, AngularJS, and Next.js. In-depth knowledge of industry-standard security best practices for public-facing digital applications. Experience with cloud platforms such as AWS, Azure, or Google Cloud and in building cloud-native application Experience in domain driven design, data modeling, micro services architecture, event & streaming technologies and best practices. Advanced experience in API design and management, Service definition and consumption including API, brokers, REST APIs Defining Non-functional requirements and architectures to satisfy availability, extensibility, and resiliency needs Advanced in one or more programming language(s) Familiarity with DevOps practices and tools for continuous integration and deployment. Preferred qualifications, capabilities, and skills Experience with AI/ML, LLM and Generative AI is preferred. AWS / Azure / GCP Certification is preferred Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Ability to work well at a conceptual and practical levels, resolve ambiguity, and to drive concepts out into workable solutions Ability to define target state architectures, and develop realistic transition plans for achieving target state Hands-on experience modeling with UML, object-oriented constructs, or other modeling language Experience with formal enterprise architecture models and tooling, such as TOGAF ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity “As a part of FICO’s highly modern and innovative analytics and decision platform, the Cyber-Security Engineer will help shape the next generation security for FICO’s Platform. You will address cutting edge security challenges in a highly automated, complex, cloud & microservices driven environments inclusive of design challenges and continuous delivery of security functionality and features to the FICO platform as well as the AI/ML capabilities used on top of the FICO platform." – VP of Engineering. What You’ll Contribute Secure the design of next next-generation FICO Platform, its capabilities, and services. Support full-stack security architecture design from cloud infrastructure to application features for FICO customers. Work closely with product managers, architects, and developers on implementing the security controls within products. Develop and maintain Kyverno policies for enforcing security controls in Kubernetes environments. Collaborate with platform, DevOps, and application teams to define and implement policy-as-code best practices. Contribute to automation efforts for policy deployment, validation, and reporting. Stay current with emerging threats, Kubernetes security features, and cloud-native security tools. Implement required controls and capabilities for the protection of FICO products and environments. Build & validate declarative threat models in a continuous and automated manner. Prepare the product for compliance attestations and ensure adherence to best security practices. Provide expertise as a subject matter expert regarding edge services for public/private cloud information system controls related infrastructure, policy, and decision-making processes. Provide timely resolutions for security configuration or solutions in support of service availability. Work on problems of diverse scope where analysis of situation requires evaluation and troubleshooting including network packet analysis, Linux or Windows DNS, certificates lifecycle, logfile analysis, and related. What We’re Seeking Strong knowledge and hands-on experience with Kyverno and OPA/Gatekeeper (optional but a plus). Experience in threat modeling, code reviews, security testing, vulnerability detection, attacker exploit techniques, and methods for their remediation. Hands-on experience with programming languages, such as: Java, Python, etc. Experience of deploying services and securing cloud environments, preferably AWS Experience of deploying and securing containers, container orchestration and mesh technologies (such as EKS, K8S, ISTIO). Experience with Crossplane to manage cloud infrastructure declaratively via Kubernetes. Certifications in Kubernetes or cloud security (e.g., CKA, CKAD, CISSP) are desirable Ability to articulate complex architectural challenges with the business leadership and product management teams. Independently drive transformational security projects across teams and organizations. Experience with securing event streaming platforms like Kafka or Pulsar. Experience with ML/AI model security and adversarial techniques within the analytics domains. Hands-on experience with IaC (Such as Terraform, Cloudformation, Helm) and with CI/CD pipelines (such as Github, Jenkins, JFrog). Resourceful problem-solver skilled at navigating ambiguity and change. Customer-focused individual with strong analytical problem-solving skills and solid communication abilities. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO? At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems. Lending — 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at www.fico.com/Careers FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Meet our team We are the Global Analytics and Data Science (GADS) team, working within GFCCP. Our expertise lies in leveraging machine learning and artificial intelligence to automate and optimize risk and dispute management processes in the back office, delivering scalable solutions. Job Description: Your way to impact As a Senior Machine Learning Engineer in the team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams on solution implementation, and integration within complex environments . Your day-to-day Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. What do you need to bring Minimum of 5 years of relevant work experience and a bachelor’s degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science, statistics or mathematics with a strong technical background in machine learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI). Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience in mentoring and supporting junior data scientists or engineers. Experience working in a multi-cultural and multi-location organization – an advantage. Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills. Good to Have: Experience with applying LLMs, prompt design, and fine-tuning methods Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Knowledge of Payments industry, transaction risk domain Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business, we’re building the next-generation AI platform to accelerate their development. We’re seeking a dedicated software engineer to drive building our next-generation AI compute platform that’s optimized for LLMs and distributed training.At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business, we’re building the next-generation AI platform to accelerate their development. We’re seeking a dedicated software engineer to drive building our next-generation AI compute platform that’s optimized for LLMs and distributed training. Key job responsibilities As an SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists and customers to influence our overall strategy and define the team’s roadmap. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment. About You: You are passionate about building platform and products for large scale deep learning model training (100+ billion parameter GPT, 1000s of GPU devices). You have a proven track record of bringing innovative research to customers. You are able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities. Ownership, delivering results, thinking big and analytical leadership are essential to success in this role. You have solid experience in multi-threaded asynchronous C++ or Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes, high performance computing, building scalable systems, experience in large language model training. This is a great team to come to have a huge impact on AWS and the world's customers we serve! A day in the life Every day will bring new and exciting challenges on the job while you: * Build and improve next-generation AI platform * Collaborate with internal engineering teams, leading technology companies around the world and open source community - PyTorch, NVIDIA/GPU * Create innovative products to run at scale on the AI platform, and see them launched in high volume production About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS ? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities: Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Designs a complete and complex Simulation framework, system, or product. Define simulationprocesses for technical platforms, system specifications, input/output and working parameters for hardware and/or software compatibility. Conceives system interfaces and business application prototypes. Identifies, analyzes and resolves system design weaknesses. Influences the shaping of future products by contributing to the framework (architecture) used across multiple products or systems. Responsibilities Validate concept designs using simulation techniques and determine design robustness, critical to function requirements. Deploy FEA Techniques – implicit and explicit approach, using Software tools like Ansys Work Bench, LSdyna, Hypermesh, Simufact, Digimat etc. Translate actual problem to Finite Element Analysis (FEA) model, interpret analysis results and select best solution which includes linear & non-linear analysis under different physics. Monitor and evaluate simulation software capabilities and industry trends. Deploy standardized process and work methodology. Train and develop capability of the team to be a multi-skilled resource pool. Benchmark implement productivity improvement methods. Track monitor metrics for sustained performance covering quality & delivery. Collaborate with design & validation teams to enhance the design optimization. Drive simulation automation, ROM (Reduced Order Modeling), Multiphysics simulations, and system-level simulations. Apply AI/ML techniques for design optimization and decision making. Desired Candidate Profile BE/ B.Tech (Mechanical/Electrical) M Tech (Mechanical/Electrical) (preferred) 5-7 years of industry experience Expertise in Ansys Workbench. Knowledge on material science (Metals, Resins & hyper elastic material) and implement for simulation. Knowledge of product, design processes and methodology. Expertise on CAE tools, Optimization techniques, and testing methods Understanding of LEAN / 6 Sigma / Kaizen techniques. Proficiency in state-of-the-art o FEA- ANSYS WORKBENCH, LS-DYNA, HYPERMESH, SIMUFACT, MOLDEX3D, OPTISLANG, ICEPAK MAXWELL, Ansys HFSS, CELCIUS EC (SIX SIGMA ET), System simulations such as MATLAB & SIMULINK. o CAD tools- PTC Creo, Space Claim. o Programming language - Python, Microsoft VB-script, Power BI. Proficiency in use of MS Office tools. Knowledge of associated manufacturing processes (molding, stamping, plating, crimping & assy). Experience on connector products (Plastic and Sheet Metal parts) is an added advantage. Exposure to AI/ML-based simulation optimization workflows and digital twin development. Experience with simulation process integration and automation tools (e.g., Ansys ACT, Workbench Scripting, PyAnsys). Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events Employee Resource Group IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Machine Learning Engineer Experience: 5+ years No. Of Positions: 5 Location : Bangalore (White Field) Budget : 27 LPA Key Skills: Strong experience in ML model development & deployment Hands-on with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras Proficiency in Python, scikit-learn, and ML/DL libraries Expertise in building and optimizing neural networks for real-world applications Solid understanding of data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, GCP) Job Types: Full-time, Permanent Pay: ₹2,080,325.89 - ₹2,519,922.05 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Experience: Cloud development: 5 years (Required) Work Location: In person Expected Start Date: 30/06/2025

Job Title: Head of Digital Transformation Company: Mangalaa Traaders Location: NO:27, SINGARATHOPE, TRICHY-620002, Tamil Nadu, India About Mangalaa Traaders: Mangalaa Traaders is a well-established and respected traditional business in Tiruchirappalli, with a rich history of serving our community. We are passionate about our legacy but recognize the imperative to evolve. We are embarking on an exciting journey to modernize our operations, embrace digital platforms, leverage automation, and integrate cutting-edge technologies like AI and chatbots to enhance efficiency, customer experience, and market reach. We are seeking a visionary and experienced leader to spearhead this transformation. The Opportunity: This is a unique opportunity for a dynamic and forward-thinking Head of Digital Transformation to shape the future of Mangalaa Traaders. You will be instrumental in bridging our traditional strengths with innovative digital solutions, driving significant growth and operational excellence. If you are passionate about technology, skilled in strategic thinking, and a natural leader who thrives on guiding organizations through change, we want to hear from you. Key Responsibilities: Develop and Execute Digital Strategy: Create a comprehensive digital transformation roadmap for Mangalaa Traaders, aligning with overall business objectives and market trends. Lead Digital Initiatives: Identify, prioritize, and oversee the implementation of digital projects, including but not limited to: Transitioning traditional sales and marketing to digital platforms (e-commerce, social media marketing). Implementing automation across various business processes (e.g., inventory management, customer support, supply chain). Exploring and integrating AI/Machine Learning solutions for data analysis, customer insights, and operational efficiency. Introducing and managing chatbot solutions for enhanced customer service and internal communication. Technology & Platform Selection: Research, evaluate, and recommend appropriate digital tools, platforms, and vendors. Change Management & Culture Shift: Champion a culture of digital adoption and innovation within the organization. Develop and implement strategies to ensure smooth transitions, employee buy-in, and digital literacy across all departments. Stakeholder Collaboration: Work closely with all department heads (Sales, Marketing, Operations, Finance, etc.) to understand their needs, gather requirements, and ensure digital solutions address core business challenges. Performance Monitoring: Define key performance indicators (KPIs) for digital initiatives, track progress, analyze data, and report on the effectiveness of transformation efforts. Risk Management: Identify potential risks associated with digital transformation and develop mitigation strategies. Team Development: Potentially build and mentor a small team or upskill existing employees in digital competencies. Qualifications: Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field. A Master's degree is a plus. 8+ years of progressive experience in digital transformation, technology strategy, or a related field, with at least 3 years in a leadership or managerial role. Proven track record of successfully leading and implementing digital transformation projects in a traditional business environment. Strong understanding of e-commerce platforms, CRM/ERP systems, cloud computing, data analytics, and digital marketing technologies. Familiarity with automation tools (RPA), AI/ML concepts, and chatbot technologies. Excellent project management skills (Agile/Scrum preferred). Exceptional communication, presentation, and interpersonal skills. Strong analytical and problem-solving abilities. Demonstrated ability to drive change, influence stakeholders, and build consensus. Experience in the retail, wholesale, or trading industry (preferred, but not essential if strong transferable skills are demonstrated). Why Join Mangalaa Traaders? Be a pivotal leader in transforming a respected traditional business into a future-ready enterprise. Opportunity to make a significant and measurable impact on the company's growth and success. Work in a collaborative and supportive environment that values innovation and continuous improvement. Competitive salary and benefits package. Application Process: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and vision for digital transformation at Mangalaa Traaders to venkeyvaa1@gmail.com. Please include "Head of Digital Transformation Application - [Your Name]" in the subject line. For any queries, you may contact us at 9965570830. Application Deadline: Open until filled Job Types: Full-time, Permanent Pay: ₹250,000.00 - ₹350,000.00 per year Schedule: Day shift Fixed shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Work Location: In person

About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested code. Build and consume RESTful or GraphQL APIs following best practices. Containerize microservices using Docker and collaborate on Kubernetes deployments. Implement and monitor background tasks with Celery, including retry strategies and alerting. Integrate third-party services via webhooks (e.g., Stripe, Razorpay). Set up WebSocket consumers using Django Channels to power real-time features. Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch. Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage. Follow Git branching strategies and contribute to CI/CD pipeline definitions. Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required Qualifications Bachelor’s degree in Computer Science or a related field. 2–3 years of professional experience working primarily in Python. Strong proficiency with Python standard library and common packages (e.g., NumPy). Solid experience designing and consuming RESTful/GraphQL APIs. Hands-on experience with Docker and at least one cloud platform (AWS or Azure). Proven track record of writing tests with pytest or unittest frameworks. Familiarity with Git workflows and CI/CD best practices. Excellent problem-solving skills and clear communication.  Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch. Prior work with the Django web framework. Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning). Background in data analysis, statistics, or applied mathematics. Exposure to Celery task queues and real-time application patterns. Contributions to open-source Python or AI projects.

Company Description Maharshi Industries Pvt. Ltd. is a leading authority in Robotics, Special Purpose Machinery (SPM), Embedded Systems, Artificial Intelligence, Virtual reality, and Engineering Design. Their advanced Robotics, AI, and VR solutions are tailored for Defense, Oil & Gas, Railways, Nuclear, and Public Safety sectors, aiming to boost operational efficiency, safety, and resilience. Role Description This is a full-time on-site role for an Artificial Intelligence-Computer Vision Engineer at Maharshi Industries Pvt. Ltd. located in Ahmedabad. The engineer will be responsible for tasks such as pattern recognition, neural networks, software development, and natural language processing as part of their day-to-day responsibilities. We are looking for a Computer Vision-focused AI/ML Engineer who can build robust, real-time models using image/video data. You will work on critical safety, defense, and industrial inspection projects, including: Human detection & identification Behavior recognition (sleeping, loitering, missing person, PPE compliance) Quality Control (QC) anomaly detection – cracks, surface defects, packaging issues Bird detection for aviation safety (runway & airspace) HSSE Compliance Monitoring for Oil & Gas, Railways, and Industrial setups Your work will directly contribute to saving lives, protecting critical infrastructure, and supporting national security missions. Key Responsibilities Develop, train, and deploy deep learning models for object detection, classification, and anomaly detection using CV data Handle datasets including thermal, IR, RGB video , and still images from surveillance or industrial cameras Optimize models for real-time inference on edge devices (Jetson Nano/Xavier, OpenVINO, etc.) Build pipelines for automatic defect and behavior detection in industrial and outdoor environments Collaborate with hardware, VR, and embedded teams for deployment and testing in real-world settings Continuously fine-tune models using on-field data and adversarial conditions. Must-Have Skills Strong experience in AI/ML model development using PyTorch / TensorFlow / Keras Deep understanding of Computer Vision techniques : ▫ Object detection (YOLO, Faster R-CNN, SSD) ▫ Instance segmentation (Mask R-CNN, Detectron2) ▫ Anomaly detection / QC using autoencoders or custom CNNs Hands-on with OpenCV , image preprocessing , and video analytics Familiarity with edge computing platforms (NVIDIA Jetson series, Coral, etc.) Working knowledge of model deployment frameworks (ONNX, TensorRT, Flask APIs) Experience with datasets like COCO, ImageNet , and custom data labeling Skills (Preferred) Bird or animal detection models Human pose estimation or behavior analysis (e.g., OpenPose, MediaPipe, LSTM-based tracking) Background in industrial inspection , aviation , or defense-related AI systems Basic knowledge of Docker , CI/CD , or Linux-based deployments Why Join Us? Work on prestigious projects for Indian Armed Forces, Airports, Oil & Gas PSUs, and DRDO labs Apply your skills in mission-critical real-world AI systems Join a team where innovation meets impact —your code could help save lives and protect national assets

Overview We are seeking an Associate Manager - Data IntegrationOps to support and assist in managing data integration and operations (IntegrationOps) programs within our growing data organization. In this role, you will help maintain and optimize data integration workflows, ensure data reliability, and support operational excellence. This position requires a solid understanding of enterprise data integration, ETL/ELT automation, cloud-based platforms, and operational support. Support the management of Data IntegrationOps programs by assisting in aligning with business objectives, data governance standards, and enterprise data strategies. Monitor and enhance data integration platforms by implementing real-time monitoring, automated alerting, and self-healing capabilities to help improve uptime and system performance under the guidance of senior team members. Assist in developing and enforcing data integration governance models, operational frameworks, and execution roadmaps to ensure smooth data delivery across the organization. Support the standardization and automation of data integration workflows, including report generation and dashboard refreshes. Collaborate with cross-functional teams to help optimize data movement across cloud and on-premises platforms, ensuring data availability, accuracy, and security. Provide assistance in Data & Analytics technology transformations by supporting full sustainment capabilities, including data platform management and proactive issue identification with automated solutions. Contribute to promoting a data-first culture by aligning with PepsiCo’s Data & Analytics program and supporting global data engineering efforts across sectors. Support continuous improvement initiatives to help enhance the reliability, scalability, and efficiency of data integration processes. Engage with business and IT teams to help identify operational challenges and provide solutions that align with the organization’s data strategy. Develop technical expertise in ETL/ELT processes, cloud-based data platforms, and API-driven data integration, working closely with senior team members. Assist with monitoring, incident management, and troubleshooting in a data operations environment to ensure smooth daily operations. Support the implementation of sustainable solutions for operational challenges by helping analyze root causes and recommending improvements. Foster strong communication and collaboration skills, contributing to effective engagement with cross-functional teams and stakeholders. Demonstrate a passion for continuous learning and adapting to emerging technologies in data integration and operations. Responsibilities Support and maintain data pipelines using ETL/ELT tools such as Informatica IICS, PowerCenter, DDH, SAP BW, and Azure Data Factory under the guidance of senior team members. Assist in developing API-driven data integration solutions using REST APIs and Kafka to ensure seamless data movement across platforms. Contribute to the deployment and management of cloud-based data platforms like Azure Data Services, AWS Redshift, and Snowflake, working closely with the team. Help automate data pipelines and participate in implementing DevOps practices using tools like Terraform, GitOps, Kubernetes, and Jenkins. Monitor system reliability using observability tools such as Splunk, Grafana, Prometheus, and other custom monitoring solutions, reporting issues as needed. Assist in end-to-end data integration operations by testing and monitoring processes to maintain service quality and support global products and projects. Support the day-to-day operations of data products, ensuring SLAs are met and assisting in collaboration with SMEs to fulfill business demands. Support incident management processes, helping to resolve service outages and ensuring the timely resolution of critical issues. Assist in developing and maintaining operational processes to enhance system efficiency and resilience through automation. Collaborate with cross-functional teams like Data Engineering, Analytics, AI/ML, CloudOps, and DataOps to improve data reliability and contribute to data-driven decision-making. Work closely with teams to troubleshoot and resolve issues related to cloud infrastructure and data services, escalating to senior team members as necessary. Support building and maintaining relationships with internal stakeholders to align data integration operations with business objectives. Engage directly with customers, actively listening to their concerns, addressing challenges, and helping set clear expectations. Promote a customer-centric approach by contributing to efforts that enhance the customer experience and empower the team to advocate for customer needs. Assist in incorporating customer feedback and business priorities into operational processes to ensure continuous improvement. Contribute to the work intake and Agile processes for data platform teams, ensuring operational excellence through collaboration and continuous feedback. Support the execution of Agile frameworks, helping drive a culture of adaptability, efficiency, and learning within the team. Help align the team with a shared vision, ensuring a collaborative approach while contributing to a culture of accountability. Mentor junior technical team members, supporting their growth and ensuring adherence to best practices in data integration. Contribute to resource planning by helping assess team capacity and ensuring alignment with business objectives. Remove productivity barriers in an agile environment, assisting the team to shift priorities as needed without compromising quality. Support continuous improvement in data integration processes by helping evaluate and suggest optimizations to enhance system performance. Leverage technical expertise in cloud and computing technologies to support business goals and drive operational success. Stay informed on emerging trends and technologies, helping bring innovative ideas to the team and supporting ongoing improvements in data operations. Qualifications 9+ years of technology work experience in a large-scale, global organization - CPG (Consumer Packaged Goods) industry preferred. 4+ years of experience in Data Integration, Data Operations, and Analytics, supporting and maintaining enterprise data platforms. 4+ years of experience working in cross-functional IT organizations, collaborating with teams such as Data Engineering, CloudOps, DevOps, and Analytics. 1+ years of leadership/management experience supporting technical teams and contributing to operational efficiency initiatives. 4+ years of hands-on experience in monitoring and supporting SAP BW processes for data extraction, transformation, and loading (ETL). Managing Process Chains and Batch Jobs to ensure smooth data load operations and identifying failures for quick resolution. Debugging and troubleshooting data load failures and performance bottlenecks in SAP BW systems. Validating data consistency and integrity between source systems and BW targets. Strong understanding of SAP BW architecture, InfoProviders, DSOs, Cubes, and MultiProviders. Knowledge of SAP BW process chains and event-based triggers to manage and optimize data loads. Exposure to SAP BW on HANA and knowledge of SAP’s modern data platforms. Basic knowledge of integrating SAP BW with other ETL/ELT tools like Informatica IICS, PowerCenter, DDH, and Azure Data Factory. Knowledge of ETL/ELT tools such as Informatica IICS, PowerCenter, Teradata, and Azure Data Factory. Hands-on knowledge of cloud-based data integration platforms such as Azure Data Services, AWS Redshift, Snowflake, and Google BigQuery. Familiarity with API-driven data integration (e.g., REST APIs, Kafka), and supporting cloud-based data pipelines. Basic proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, GitOps, Kubernetes, and Jenkins for automating infrastructure management. Understanding of Site Reliability Engineering (SRE) principles, with a focus on proactive monitoring and process improvements. Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders. Ability to effectively advocate for customer needs and collaborate with teams to ensure alignment between business and technical solutions. Interpersonal skills to help build relationships with stakeholders across both business and IT teams. Customer Obsession: Enthusiastic about ensuring high-quality customer experiences and continuously addressing customer needs. Ownership Mindset: Willingness to take responsibility for issues and drive timely resolutions while maintaining service quality. Ability to support and improve operational efficiency in large-scale, mission-critical systems. Some experience leading or supporting technical teams in a cloud-based environment, ideally within Microsoft Azure. Able to deliver operational services in fast-paced, transformation-driven environments. Proven capability in balancing business and IT priorities, executing solutions that drive mutually beneficial outcomes. Basic experience with Agile methodologies, and an ability to collaborate effectively across virtual teams and different functions. Understanding of master data management (MDM), data standards, and familiarity with data governance and analytics concepts. Openness to learning new technologies, tools, and methodologies to stay current in the rapidly evolving data space. Passion for continuous improvement and keeping up with trends in data integration and cloud technologies.

About Us Real estate construction in India is broken. From shady contractors to delayed timelines, opaque pricing, and families getting stuck with half-built homes — we’ve seen it all. At Brixline , we’re here to fix it. We’re not just simplifying homeownership — we’re rebuilding the foundation of trust, transparency, and tech in construction. Our approach is full-stack: from financing to floor plans, vetted contractors to on-time delivery. We’re blending AI, credit underwriting, and construction intelligence to deliver homes the way they should be — faster, fairer, and frustration-free. We’ve already built India’s first "Build Now, Pay Later" ecosystem and are delivering real homes through a zero-ops platform, a trusted vendor network, and deep fintech integrations. We're profitable, scaling fast, and backed by seasoned operators. What We Do Brixline is an integrated construction-financing and project-delivery platform helping middle-income families in Tier 2/3 cities build homes with confidence. Our platform provides: Instant loan disbursals with proprietary credit models Vetted contractor & material networks End-to-end project management with tech-first monitoring Property management until loan closure From blueprint to final delivery, we manage everything. The Role: Director of Product Brixline is looking for a Director of Product to lead the evolution of its full-stack construction-financing and project management platform. This role is for a builder of builders — someone who understands the complexities of real-world operations, fintech workflows, and has a passion for solving massive inefficiencies in one of India’s most underserved industries. Your Mandate Define and drive the overall product strategy across construction tech, fintech, and consumer experience. Lead, mentor, and scale a high-performing product team across verticals: credit, ops, homeowner UX, contractor app, and internal systems. Work directly with founders to translate vision into sprint-ready roadmaps. Build for India-scale. Build for messiness. Build for dignity. Drive 0 → 1 innovations in construction payments, monitoring, financing, and project lifecycle. Make data your second language and speed your default. Why You’ll Love It Here We’re solving one of the boldest, dirtiest, and most important challenges in India: housing. We’re a tech-first company solving physical world problems — and building for the next billion. You’ll work on complex systems at the intersection of credit, real estate, project ops, and fintech. We’re profitable and growing — with a massive whitespace ahead. You’ll report directly to the founder and have a seat at the leadership table. What You Must Have 8+ years in Product, with 4+ years in Operations or Infra-tech-heavy domains . Proven experience as Director of Product or equivalent , leading teams of PMs and cross-functional squads. Hands-on experience building and deploying GenAI/ML-powered products. Experience in scaling Series A+/B+ startups , ideally in infra-tech, real estate, fintech, or marketplaces. Ability to think in systems , and act with urgency. Obsession with data, user empathy, and product performance. Experience working with low-tech or non-digital-first user bases (think contractors, homeowners, agents). Bonus If You Have Experience in Proptech / Lending / Construction / Infra. Owned or influenced a P&L. Background in building multi-sided platforms (e.g. buyer/seller, lender/borrower, owner/contractor). Worked closely with or reported directly to founders. This Role Is Not For You If: You’re looking for a cushy 9-5 gig. You’re afraid of chaos or unstructured domains. You dislike hands-on execution. This is a rocketship. Not a cruise ship. If you’re excited about building with urgency, delivering tangible outcomes, and transforming an industry that touches millions of lives — we’d love to talk.

Job Title: Brand Manager Location: Malleshwaram, Bangalore (Work from Office only) Exp: 6+ yrs Company Profile SignDesk is a workflow automation and documentation product aimed at assisting businesses in digitizing and automating their documentation processes. We call it paperless Nirvana! SignDesk’s products constitute an end-to-end documentation system designed to digitize and streamline paper-based processes. Our product catalogue currently includes ● A Video KYC onboarding solution leveraged with ML and AI techniques. ● A digital stamping & franking product for real-time online stamp duty payment. ● An eSign workflow solution offering both Aadhaar eSign & digital signatures. ● An eMandate product to automate recurring payments through eNACH which also supports Aadhaar eSign-based mandates. ● A Smart contract lifecycle management via automated document creation, Online negotiation, paper-free execution & centralized storage About the Role We are seeking a Brand Manager with 10+ years of experience in B2B marketing (or from an agency handling B2B clients) to lead SignDesk’s brand-building efforts. This role goes beyond traditional marketing—it involves managing industry relations, PR, events, and thought leadership initiatives to position SignDesk as a category leader. Job Responsibilities: Brand Strategy & Marketing Develop and execute SignDesk’s brand strategy, including positioning, messaging, and visual identity. Create and implement integrated brand marketing campaigns across digital, social, paid media, offline, and print channels. Lead a team of designers and Collaborate with cross-functional teams to maintain brand consistency across all touchpoints. Analyze market trends, competitor positioning, and customer insights to identify growth opportunities. Measure and report the performance of all brand campaigns, optimizing based on ROI and KPIs. Industry Relations & PR Build and maintain relationships with key industry stakeholders, media agency and influencers to enhance brand credibility. Develop a PR and media relations strategy, securing coverage in top-tier industry publications. Event Management & Partnerships Plan and execute industry events, webinars, and panel discussions to showcase SignDesk’s expertise. Identify and participate in high-impact industry conferences and networking events to strengthen brand presence. Develop partnerships with industry associations and thought leaders to expand brand reach. Skills & Requirements: 6+ years of experience in B2B marketing or agency experience managing B2B clients. Proven ability to develop and execute brand strategies that drive business growth. Strong expertise in industry relations, PR, event management, and content-driven brand positioning. Experience in managing media relations, securing PR coverage, and building relationships with industry influencers. Excellent communication, storytelling, and leadership skills. Strong analytical and strategic thinking abilities. Proficiency in digital marketing, content marketing, and brand performance analytics. Experience in SaaS, fintech, enterprise tech, or digital transformation domains is a plus.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing… The MarTech team of Product & Marketing Org leverages AI/ML, Pega Customer Decisioning Hub technology, and agile software development to enhance customer and sales representative experiences across engagement systems. As part of the MarTech Pega Decisioning team, responsibilities include designing and implementing Pega-based solutions to optimize customer experience. This role involves collaboration with global teams in the USA and India, including product owners, Pega developers, architects, data scientists, front-end team members, and other stakeholders throughout the project lifecycle. Key duties include developing decisioning and recommendation strategies for personalization and utilizing data science/decisioning science skills to build and continuously optimize Next Best Experience (NBx) logic. Key Responsibilities Include Local Functional/Technical Subject Matter Expert (SME): Develop a deep understanding of Verizon Business, customer-used applications, and call center operations. Partner with US counterparts and the Global Technology Solutions (GTS) team to understand the design and architecture of solutions. Solution Implementation End-to-end analysis, build, optimization & execution of NBx strategies for key customer engagements Stakeholder with business/channel teams to ensure improvements in personalization e.g offer costs, improved sales funnel, increased product attach etc. Collaboration & Communication Work closely with geographically diverse teams in the US and India. Act as the primary point of contact for the India team, providing updates to US counterparts and escalating issues as needed. Present to senior onshore and offshore leaders and stakeholders Continuous Learning Stay current on the latest advancements and best practices in Pega tools and technologies. Share knowledge and insights with the team to foster innovation and technical excellence. What we’re looking for… You take a lot of pride in your work and as a self-starter you enjoy learning new skills and taking on new tasks. While you work well independently, your team orientation and collaborative nature make you an effective Technical leader. No stranger to succeeding in a fast-paced, ever-changing marketing environment, you balance competing priorities with ease. Talking to people comes very naturally to you and as a strong communicator you can effectively explain issues and resolutions to all levels of the organization. You are detail oriented and forward thinking, looking for the future-proof solution. You are great at influencing up, down, and across groups. You’ll Need To Have A Bachelor's degree in Computer Science, Information Technology, or a related field. Six or more years of proven work experience as a data scientist or a marketing technology experience with Pega or similar tools Hands-on expertise using Pega CDH as a Decisioning Strategy (LDA certification strongly preferred) Strong knowledge of relational databases and/Or NoSQL databases. Excellent problem solving skills with attention to detail and a strong sense of ownership. Strong communication skills Even better if you have one or more of the following: Understanding/Experience MarTech Tools - Adobe Analytics/Google Analytics/Marketo 8-10 years experience in Marketing/CX space, preferably B2B Telco If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #VBGDXP Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 30th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

About DESRI DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 11 gigawatts of contracted capacity across a portfolio of over 70 renewable energy projects in 24 states. DESRI is run by a dynamic team with offices located at New York, Denver, and Hyderabad (India). About The Role We are looking for a resourceful candidate to join the India office of DESRI, i.e., DESRI India Private Limited, based in Hyderabad, India. The candidate will be a part of Asset Management team and will regularly interact with the U.S. and Hyderabad-based teams, as well as external parties. The candidate will be a part of a small, inclusive, highly skilled team responsible for supporting DESRI’s portfolio of wind, solar, and storage projects within a dynamic environment that values collaboration, thoughtful problem solving, and attention to detail. What You'll Do In this role, you will use performance data and SCADA to improve the performance of a solar PV project and the minimize downtime of equipment. You will identify faults, offline and underperforming equipment, generate actionable insights for the O&M team, and monitor the performance of equipment pre-repair and post-repair to verify if the fault has been nullified completely. If the fault is not completely nullified, you will then provide appropriate feedback to the O&M team. You will be able to use this as an opportunity to improve fault detection. You will be expected to build new logic when a need arises, and then develop that new logic either based on published research, first principal physics, or best industry practices. Additionally, you will explore AI and ML based methods to detect faults in a solar PV project. You will create a fault log in an Excel sheet or database. You will also create a dashboard to report project specific activities on different fault logs. It is expected that you will conduct research and implement improvements to existing business processes. In addition to above, you will be required to build and maintain reports, and undertake automation initiatives. Furthermore, you will collaborate with cross-functional teams to develop and integrate new features. Qualifications The ideal candidate should hold- A B.Tech./M.Tech. in Energy Systems Engineering or Electrical Engineering and up to 6 years of relevant industrial experience (including design, operation, and energy estimation and performance due diligence) The ability for quick and fast visualization of performance data and weather monitoring station data Skills in documentation of due diligence and reporting Experience in stakeholder management Exposure to Python and data visualization Exposure to dashboard tools like Power BI Basic understanding of building machine learning models and experience in building a machine learning or deep learning model Excellent written and verbal communication skills

Roles & Responsibilities Job Summary We are seeking a highly skilled and self-motivated AI Engineer to join us as we establish our AI Center of Excellence (CoE). As an early team member, you will play a critical role in shaping the foundation, strategy, and implementation of AI and ML solutions across the organization. This role offers a unique opportunity to work at the forefront of AI innovation, contribute to impactful use cases, and collaborate with cross-functional teams to build intelligent agentic systems. You will work with both Microsoft technologies (Copilot Studio, AI Foundry, Azure OpenAI) and open-source frameworks to design, deploy, and manage enterprise-ready AI solutions. Key Responsibilities Design, develop, and deploy AI agents using Microsoft Copilot Studio and AI Foundry. Build and fine-tune machine learning models for NLP, prediction, classification, and recommendation tasks. Conduct exploratory data analysis (EDA) to extract insights and support model development. Implement and manage LLM workflows, including prompt engineering, fine-tuning, evaluation, deployment, and monitoring. Utilize open-source frameworks such as LangChain, Hugging Face, MLflow, and RAG pipelines to build scalable, modular AI solutions. Integrate AI solutions with business workflows using APIs and cloud-native deployment methods. Use Azure AI services, including AI Foundry and Azure OpenAI, for secure and scalable model operations. Contribute to the creation of an AI governance framework, including Responsible AI principles, model explainability, fairness, and accountability. Support the creation of standards, reusable assets, and documentation as the CoE grows. Collaborate with engineering, data, and business teams to define problems, build solutions, and demonstrate value. Stay up to date with emerging AI capabilities such as Model Context Protocol (MCP), Agent-to-Agent (A2A) frameworks, and Agent Communication Protocols (ACP), and proactively evaluate opportunities to integrate them into enterprise solutions. Required Qualifications Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. 5+ years of experience in AI, machine learning, or data science with production-level deployments. Strong foundation in statistics, ML algorithms, and data analysis techniques. Hands-on experience building with LLMs, GenAI platforms, and AI copilots. Proficient in Python, with experience using libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow, and Transformers. Experience with Microsoft Copilot Studio, AI Foundry, and Azure OpenAI. Working knowledge of open-source GenAI tools (LangChain, Haystack, MLflow). Understanding of cloud deployment, API integration, and version control (Git). Experience 6-8 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, GenAI Fundamentals, Large Language Models (LLM)

Company Description Engage Loom is a dynamic marketing and digital news agency specializing in AI, tech, and trending social content. We manage over 5 rapidly growing Instagram pages focused on the latest breakthroughs and viral updates. Our mission is to create compelling posts and stories that capture what the internet is buzzing about today. At Engage Loom, we thrive on creativity and innovation, transforming trends into captivating content. Role Description This is a full-time on-site role located in Pune for a Multimedia Graphic Designer. The Multimedia Graphic Designer will be responsible for creating graphics and multimedia content, designing web pages, contributing to branding projects, and supporting the visual needs of various campaigns. The candidate will collaborate with the team to produce high-quality visual content for digital and social media platforms. Responsibilities Design Instagram reels, carousels, infographics, and story animations Collaborate with writers and content strategists to turn news into engaging visual formats Edit and repurpose short-form video content for social media Stay up to date with design trends and news cycles to create fast-turnaround content Manage and maintain consistent brand identity across multiple handles Requirements Strong command over tools like Adobe Photoshop, Illustrator, Premiere Pro, After Effects, Canva or Figma Video editing & motion graphics skills An eye for aesthetics, typography, and storytelling Portfolio showcasing relevant Instagram or social media content (Mandatory) Bonus: Experience with AI tools like Runway ML, Midjourney, or Gen AI platforms Send us your portfolio and resume to job@engageloom.com

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are looking for a dedicated and proficient Senior Systems Engineer with extensive Data DevOps/MLOps knowledge to enhance our team. The ideal candidate should possess a comprehensive knowledge of data engineering, data pipeline automation, and machine learning model operationalization. The role demands a cooperative professional skilled in designing, deploying, and managing extensive data and ML pipelines in alignment with organizational objectives. Responsibilities Develop, deploy, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data integration and machine learning model deployment Set up and sustain infrastructure for data processing and model training through cloud-based resources and services Automate processes for data validation, transformation, and workflow orchestration Work closely with data scientists, software engineers, and product teams for a smooth integration of ML models into production Enhance model serving and monitoring to boost performance and dependability Manage data versioning, lineage tracking, and the reproducibility of ML experiments Actively search for enhancements in deployment processes, scalability, and infrastructure resilience Implement stringent security protocols to safeguard data integrity and compliance with regulations Troubleshoot and solve issues throughout the data and ML pipeline lifecycle Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or similar roles Proficiency in cloud platforms such as Azure, AWS, or GCP Background in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies including Docker and Kubernetes Hands-on experience with data processing frameworks such as Apache Spark and Databricks Proficiency in programming languages including Python with an understanding of data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch Familiarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions Experience with version control tools and MLOps platforms such as Git, MLflow, and Kubeflow Strong understanding of monitoring, logging, and alerting systems including Prometheus and Grafana Excellent problem-solving abilities with capability to work independently and in teams Strong skills in communication and documentation Nice to have Background in DataOps concepts and tools such as Airflow and dbt Knowledge of data governance platforms like Collibra Familiarity with Big Data technologies including Hadoop and Hive Certifications in cloud platforms or data engineering

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. Responsibilities We are looking for an experienced Manager, Software Development Engineering skilled in the DevOps space. You would be reporting to the Director of Software Engineering and your responsibilities will include: Leading the DevSecOps team, you will oversee operations for multiple development teams, hands-on responsibilities and guiding a team of engineers by distributing tasks, tracking progress, and facilitating their success Spearheading the development of internal product tools using AI/ML, MLOps and Code LLM functionalities Owning the end-to-end process for Open-Source License Governance and Vulnerability assessment in software applications developed by several other teams, using tools like Blackduck or Snyk integrated in the CI pipelines Managing the Infrastructure: Responsible for administration & maintenance of source control management systems, such as GitLab, GitHub, BitBucket Nexus, CI/CD systems, Artefact management repositories, test beds etc Integrating SAST, DAST or IaC, tools into the CI / CD pipelines What We're Looking For (Minimum Qualifications) Bachelor's Degree in Engineering, CS, MIS, or related field along with 8+ years of hands-on experience in app development, build & release management and setting up CI/CD pipelines 2 years of Team Lead experience managing various tools required in the software lifecycle, Scripting in shell, Python, Groovy or Programming knowledge on Java / C /C++ with Unix / Linux systems expertise Experience in domains like Application Security, API Security, DevSecOps , Devops and AI/ML is preferred Excellent leadership skills with a track record of managing high-performing teams with strong presentation and communication skills Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, scrum, and Waterfall methodologies What Will Make You Stand Out (Preferred Qualifications) Experience writing and developing yaml based CI/CD Pipelines using GitLab, GitHub and knowledge of build tools like makefiles/gradle/npm/maven etc Experience with Networking, Load Balancers, Firewalls, Web Security Experience with AI and ML tools in day to day DevSecOps activities At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Benefits Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 10 new teams from scratch ! The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India , you will be key to building a base for one of Databricks’ most central engineering teams . You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure . Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The Impact You Will Have Own Money systems and services that govern usage of all Databricks products and offerings. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams. What We Look For BS (or higher) in Computer Science, or a related field 7+ years of production level experience in one of: Java, Scala, C++, or similar language Comfortable working towards a multi-quarter vision with incremental deliverables Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems Experience with software security and systems that handle sensitive data Demonstrated ability to lead engineering projects across functional and organizational boundaries A proactive approach and a passion for delivering high-quality solutions Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About the role : You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria: Provide technical direction for projects. Break down business requirements into work for the team to execute on. Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business,product, and recommender system objectives Lead routine projects with manageable risks and resource requirements Deliver AI/ML solutions using emerging technologies for multiple products or complex projects with minimal guidance Train and mentor colleagues Explain difficult concepts and influence others to adopt a point of view for ideas and initiatives Craft and sustain technical outputs such as design documentation and representative models. Design and develop control logic for end-to-end AI-based solutions Lead the design and development of Proof of Concepts and complex AI/ML solutions Improve operations by conducting systems analysis and recommend policy changes About You You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria: Over 5 years of experience with machine learning, especially Recommender Systems. Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. At least 2 years with cloud technologies (preferably AWS). Proficient in Python, SQL, and data modeling; DBT is a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras. Experience leading engineering teams. Creative problem-solving skills. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About This Role As a Staff AI Engineer you will get to play with petabyte data gathered from a multitude of data sources including Balbix proprietary sensors and 3rd party threat feeds. You will leverage a variety of AI techniques including deep learning, probabilistic graphical models, graph learning, recommendation systems, reinforcement learning, NLP, etc. And of course, you will be part of a team building a world-class product addressing one of the grand challenges in the technology industry. DATA SCIENCE AT BALBIX At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. We are building a data science culture with equal emphasis on knowing our data, grokking security first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. You Will Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment Design and implement algorithms for statistical modeling of enterprise cybersecurity risk Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation. Build production quality solutions that balance complexity and performance Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn You Are Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution Product-focused and passionate about building truly usable systems Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps Responsible and like to take ownership of challenging problems A good communicator, and facilitate teamwork via good documentation practices Comfortable with ambiguity and thrive in designing algorithms for evolving needs Intuitive in using the right type of models to address different product needs Curious about the world and your profession, constant learner You Have A Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience 5+ years of experience in the field of Machine Learning and programming in Python. Expertise in programming concepts and building large scale systems. Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling. Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc. Foundational knowledge of probability, statistics and linear algebra