Work Location : Hyderabad/ Bangalore Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. Experience applying various machine learning techniques and understanding the key parameters that affect their performance. Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). Previous experience in ML, data scientist or optimization engineer role with a large technology company. Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Experience in creating data driven visualizations to describe an end-to-end system. Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field. (ref:hirist.tech) Show more Show less

Skills: Data Engineer, Spark, Scala, Python, Onpremise, Cloudera, Snowflake, kafka, Overview Of The Company Jio Platforms Ltd. is a revolutionary Indian multinational tech company, often referred to as India's biggest startup, headquartered in Mumbai. Launched in 2019, it's the powerhouse behind Jio, India's largest mobile network with over 400 million users. But Jio Platforms is more than just telecom. It's a comprehensive digital ecosystem, developing cutting-edge solutions across media, entertainment, and enterprise services through popular brands like JioMart, JioFiber, and JioSaavn. Join us at Jio Platforms and be part of a fast-paced, dynamic environment at the forefront of India's digital transformation. Collaborate with brilliant minds to develop next-gen solutions that empower millions and revolutionize industries. Team Overview The Data Platforms Team is the launchpad for a data-driven future, empowering the Reliance Group of Companies. We're a passionate group of experts architecting an enterprise-scale data mesh to unlock the power of big data, generative AI, and ML modelling across various domains. We don't just manage data we transform it into intelligent actions that fuel strategic decision-making. Imagine crafting a platform that automates data flow, fuels intelligent insights, and empowers the organization that's what we do. Join our collaborative and innovative team, and be a part of shaping the future of data for India's biggest digital revolution! About the role. Title : Senior Data Engineer Location : Mumbai Responsibilities End-to-End Data Pipeline Development: Design, build, optimize, and maintain robust data pipelines across cloud, on-premises, or hybrid environments, ensuring performance, scalability, and seamless data flow. Reusable Components & Frameworks: Develop reusable data pipeline components and contribute to the team's data pipeline framework evolution. Data Architecture & Solutions: Contribute to data architecture design, applying data modelling, storage, and retrieval expertise. Data Governance & Automation: Champion data integrity, security, and efficiency through metadata management, automation, and data governance best practices. Collaborative Problem Solving: Partner with stakeholders, data teams, and engineers to define requirements, troubleshoot, optimize, and deliver data-driven insights. Mentorship & Knowledge Transfer: Guide and mentor junior data engineers, fostering knowledge sharing and professional growth. Qualification Details Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Core Programming: Excellent command of a primary data engineering language (Scala, Python, or Java) with a strong foundation in OOPS and functional programming concepts. Big Data Technologies: Hands-on experience with data processing frameworks (e.g., Hadoop, Spark, Apache Hive, NiFi, Ozone, Kudu), ideally including streaming technologies (Kafka, Spark Streaming, Flink, etc.). Database Expertise: Excellent querying skills (SQL) and strong understanding of relational databases (e.g., MySQL, PostgreSQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. End-to-End Pipelines: Demonstrated experience in implementing, optimizing, and maintaining complete data pipelines, integrating varied sources and sinks including streaming real-time data. Cloud Expertise: Knowledge of Cloud Technologies like Azure HDInsights, Synapse, EventHub and GCP DataProc, Dataflow, BigQuery. CI/CD Expertise: Experience with CI/CD methodologies and tools, including strong Linux and shell scripting skills for automation. Desired Skills & Attributes Problem-Solving & Troubleshooting: Proven ability to analyze and solve complex data problems, troubleshoot data pipeline issues effectively. Communication & Collaboration: Excellent communication skills, both written and verbal, with the ability to collaborate across teams (data scientists, engineers, stakeholders). Continuous Learning & Adaptability: A demonstrated passion for staying up-to-date with emerging data technologies and a willingness to adapt to new tools. Show more Show less

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Core Responsibilities Core Responsibilities You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Excellent Communication skills with both US team and the team in India You are a lifelong learner, who is driven by curiosity and a desire to make a positive impact in the organization. You are results-driven, possess business acumen, and an ability to communicate your work and your findings. You are an engineer/manager at heart with an analytical mindset, but with a keen sense of serving the business. You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings. You have excellent project management, organizational, and collaboration skills. You enjoy working in global teams, assisting and educating less experienced members, while also learning from more senior colleagues. You take initiative and have the ability to drive projects to completion at each phase of the process, from ideation to data acquisition, to engaging with stakeholders, to developing the models, to evaluating and fine-tuning their performance, to productionizing solutions via ML pipelines, to building model performance reports. Knowledge of how supply and demand best practice business and data processes generate business value. Including, but not limited to demand forecasting, inventory management, supply planning, Sales and Operations Planning, and replenishment planning. Demonstrated excellent track record of innovative and effective applications of data science principles, technology, and techniques to solve business problems efficiently. Knowledge of and experience with best practice demand management metrics; forecast accuracy, demand attainment, bias, planner value add. Intelligence, integrity, domain knowledge, and verbal agility that allows you to earn the trust of business and technical teams across the company. Excellent operational and managerial skills required, with a proven track record of successful management of complex, data driven demand forecasting, logistics, supply chain, & operations. The successful candidate will have multiple years of consumer goods retail environment, utilizing advanced modeling techniques as a basis to drive results. A strong analytical & data mindset is essential for this position. Flexible to work and support team with extended time/shifts when and where required. Required Skillset Should be an effective and prolific doer but should also be a creative thinker who likes to operate outside the box and suggest alternative solutions. Should have experience in developing Forecasting models and understand Demand Planning processes. Understand optimization models, techniques and tools (Gurobi, Coupa, etc.) Experience in Network optimization / Transportation opt Experience in Data science, machine learning or optimization models (linear programming) Experience in Python, SQL or R for model development Knowledgeable in handling large set of data, databases, data warehouse design, cloud storage and ETL best practices. Experience with BI tools like PowerBI and Tableau Experience in data pipelines developments and systems such as SQL, Maria DB etc.. Preferred Requirements Experience in data science/ops research experience preferably within the supply chain / logistics industry, demand planning, CPG industry and/or retail replenishment. Master’s Degree in Statistics, Operations Research, Data Science, Computer Science or related field is a plus. Experience in supply chain planning systems and their data science capabilities like 09 Solutions, SAP, Blue Yonder or other top tier solutions a plus Knowledge of and experience with leading data reporting applications including Tableau, Power BI, QlikView, etc. is a plu Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years Show more Show less

About Barco Barco designs technology to enable bright outcomes around the world. Seeing beyond the image, we develop visualization and collaboration solutions to help you work together, share insights, and wow audiences. Our focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). We have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents. As part of GEAX organization which is the Software product development group at Barco our vision is to be a world class software team partnering with our businesses to offer successful software solutions and outcomes that delight our customers and set the trend in our dynamic markets. About Image processing group @ BARCO The demand for extremely high-resolution, video-based installations that impress audiences with an exceptional visual experience is growing. That’s why digital image processing, screen management, and show control are key. Barco provides event professionals and themed venue owners with a very complete range of image processing software and hardware solutions. Unbridled creativity and ultimate ease-of-use, that’s what our processors are all about. The power and flexibility can be used in different applications from live shows to meeting environments and from auditoriums to television studios. The only limit is your imagination. About The Role We are seeking an Expert C++20 Developer with specialized expertise in GStreamer and Vulkan to enhance our multimedia and graphics processing capabilities. You will be responsible for developing and optimizing pipelines and rendering solutions that leverage these technologies to deliver high-performance and visually stunning experiences, and a string understanding of real-time multimedia applications. Key Responsibilities Design and implement GStreamer pipelines for audio and video processing. Develop and optimize Vulkan-based rendering solutions. Integrate GStreamer and Vulkan with other components of the platform. Design and development of virtual assistance features and interfaces. Optimize performance for various hardware configurations. Troubleshoot and resolve complex issues related to GStreamer and Vulkan. Stay up-to-date with the latest developments in GStreamer and Vulkan. Document technical specifications and best practices. Preferred Skills And Experience B.Tech./B.E/M.Tech in computer science or equivalent stream 5- 9 years of experience working in an R&D environment Excellent interpersonal, communication skills Excellent team players Attitue to learn new skill and work on stretched goals Must Have Skills Well demonstrated expertise in proficiency in C++20 and modern C++ paradigms. In-depth knowledge of GStreamer pipeline development. Strong understanding of Vulkan graphics API. Experience with audio and video processing. Experience with virtual assistance technologies like AR/VR and AI frameworks. Excellent problem-solving and debugging skills. Experience with Sony NMOS and MediaTek NeuroPilot. Experience with FFmpeg. Knowledge of OpenXR. Familiarity with Linux development environments. Experience with multimedia frameworks and real-time data streaming. Strong understanding of graphics rendering techniques and optimization. Familiarity with NLU and AI engines. Nice To Have Skills Exposure to AI/ML technologies especially around computer vistion Exposure to NVIDIA ecosystem with libraries like TAO, DeepStream, Rivermax, NVidia CUDA Show more Show less

Job Description Key Responsibilities Hands-on Development Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here . Show more Show less

Selected Intern's Day-to-day Responsibilities Include Write blogs, social media captions, email content, and website copy. Conduct research and translate technical or financial topics into reader-friendly content. Proofread and edit drafts for clarity, grammar, and tone. Work with the marketing team to brainstorm new ideas and campaigns. Follow content guidelines and adapt to different writing styles. Stay up to date with content marketing and digital trends. About Company: SIHO is a cutting-edge stock research and analytics firm dedicated to providing high-quality, data-driven investment insights. We leverage the latest technology, including AI, ML, and both fundamental and technical analysis, to evaluate and execute investment opportunities. We are a team of Software Architects, Engineers, Equity Research Analysts, AI engineers who are passionate about equity investing with a vision to make investing simple and provide best research services. Our Flagship product is InvestVidhi.com. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Junior Data Scientist Location: Bangalore Reporting to: Senior Manager – Analytics Purpose of the role The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of: LLM-based frameworks, tools, and technologies Cloud-native technologies and solutions Microservices-based software architecture and design patterns As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Key tasks & accountabilities Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) Bachelor's or masterʼs degree in Computer Science, Engineering, or a related field. Previous Work Experience Required Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. Technical Skills Required Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. Strong programming skills in languages such as Python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

📍 Location: Tonk road, Jaipur 💼 CTC: 2 LPA 🕒 Program Duration: 15 Days (Job-linked certification with LOI from AdvaRisk Key Responsibilities:Work alongside AI/ML-based software for property data verification. Analyze lending documents and validate property-related records. Extract, verify, and reconcile data from documents with high accuracy. Conduct backend title verification, KYC audits, and due diligence tasks. Ensure consistency and quality in document processing. Handle digital tools and systems with minimal supervision. Eligibility Criteria:Graduate from a recognized university. Basic proficiency in English (reading & writing). High attention to detail and accuracy. Comfortable working independently and handling repetitive tasks. Prior exposure to legal or banking documentation is a plus. Career Growth Path:Entry-Level → Senior Ops Associate → Team Lead → Managerial Roles Program Highlights:Letter of Intent (LOI) before training begins. Certification from Crack-ED upon completion. Live Projects and hands-on experience. Structured training in compliance, risk, legal tech & lending ops.

Job Description The AI2NE Org strives to be global leaders in the RDMA cluster networking domain and enable seamless, accelerated High-Performance Compute (HPC), Artificial Intelligence and Machine Learning advancements. We envision a future where artificial intelligence and machine learning revolutionize industries, reshape societies, and unlock limitless possibilities. Our vision is to be a pioneering force, driving the development and design of state-of-the-art RDMA clusters tailored specifically for AI, ML, HPC workloads. We strive to be the go-to experts in RDMA cluster architecture, leveraging our deep understanding of the unique demands of AI/ML and HPC applications. By staying at the forefront of technological advancements, we aim to redefine the boundaries of what is possible, pushing the envelope of computational capabilities and unlocking unprecedented performance. Supports the design, deployment, and operations of a large-scale global Oracle Cloud Infrastructure (OCI). Primarily focused on the development and support of network fabric and systems through a combination of a deep level understanding of networking at the protocol level coupled with programming skills. As OCI is a cloud-based network with a global footprint, this support will include hundreds of thousands of network devices supporting millions of servers, connected over a mix of dedicated backbone infrastructure, CLos Network, and the Internet. Responsibilities Will primarily use existing procedures and tools to develop and safely execute network change. However, may have to develop new procedures from time to time. Develop solutions to enable front line support teams to act on network failure conditions. Participate in operational rotations as either primary or secondary. Provide break-fix support for events. Serve as the escalation point for event remediation. Participate post-event root cause analysis. Frequently develops scripts to automate routine tasks for team and business units. Coordinate with networking automation services for the development and integration of support tooling. Coordinate with network monitoring to gather telemetry and create alerts rules using them. Build dashboards to represent data at various network layers and device roles that help identify network issues, anomalies. Collaborate with network vendor technical account team and internal Quality Assurance team to drive bug resolution and assist in the qualification of new firmware and/or operating systems. Qualifications: Bachelor’s degree in CS or related engineering field with 2+ years of Network Engineering experience or master’s with 1+ years of Network Engineering experience. Experience working in a large ISP or cloud provider environment. Experience in RDMA Networking is a plus. Experience working in a network operations role. Folks with knowledge of routing protocols such as knowledge of TCP/IP, IPv4, IPv6, DNS, DHCP and SSL. Experience with scripting or automation and data center design – Python preferred but must demonstrate expertise in scripting or compiled language. Experience with network monitoring and telemetry solutions. Experience with network modeling and programming – YANG, OpenConfig, NETCONF. Ability to use professional concepts and company objectives to resolve issues in creative and effective ways. Excellent organizational, verbal, and written communication skills. Participate in an on-call rotation. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Bosch Software Engineering, Data Science Bengaluru, Karnataka, India Posted on Jun 17, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. For more than 138 years, Robert Bosch GmbH has led groundbreaking innovations across a wide range of industries. As the world becomes increasingly software-driven, Bosch is accelerating its journey to create smarter solutions "Invented for Life." As an integral part of this transformation, Bosch Software and Digital Solutions (SDS) was established as a global technology powerhouse within BGSW, a captive unit of Bosch. Experts in software, sensors, and services, we partner with organizations ranging from leading startups to established industry giants to deliver new-age digitalization. We help reimagine the present and the future of businesses with Smarter Digital solutions. Be a part of a company that's constantly evolving and driving innovation! Stay connected and explore career opportunities by following us on LinkedIn and visiting our website Job Description Roles & Responsibilities : Bosch Software and Digital Solutions is a leading systems integrator and solution provider for technology led business transformation. It is the systems integration arm of Bosch Global and is headquartered in Bangalore. The Chief AI Officer (CAIO) will be responsible for developing and articulating a clear AI vision for SDS and overseeing, implementing and governing SDS’ AI strategy that aligns with business goals. The CAIO will also oversee the development of innovative AI and Gen AI solutions/offerings for further transforming SDS’s offerings portfolio and to support SDS customers with their AI journeys. The CAIO will lead Bosch SDS’s AI-first approach and align SDS’ portfolio offerings to the rapidly evolving needs of our customers. Key Responsibilities Strategic AI Vision and Roadmap Develops and articulate a clear AI vision that aligns with SDS’s short, medium and long-term goals. Creates an AI roadmap that outlines short-term and long-term initiatives. Identifies vital areas where AI can drive business growth and efficiency. AI Strategic Leadership Develop and drive SDS’ AI strategy to align with organization's broader transformation roadmap and business goals. Define overall AI GTM and growth strategy in conjunction with business leaders. AI Product and Solution Development Analyze emerging trends to create AI products/accelerators, frameworks and capabilities in key areas such as predictive analytics, NLP, Computer vision, generative AI, agentic AI, and automation. Define guidelines for AI model development for customers, ensuring ethical, transparent, and responsible AI Use Conceptualize the blueprint of asset to-be developed and collaborate with technical team to execute and implement the same. Co-lead initiatives like hackathons, workshops, and other events to encourage innovation and cross sharing of ideas. AI Strategy Consulting and Advisory Lead customer discussions to understand their existing problem statements and business challenges and assess their existing AI maturity. Define target AI Reference architecture, use case discovery, business case and implementation approach for AI initiatives. Define consulting approach and frameworks and develop AI Consulting proposals, bid defense, and help in acquisition. Manage/Lead AI consulting engagement to define AI strategy, roadmap, and execution plans aligned with business objectives. AI Implementation Oversee the implementation of AI projects for customers, which includes Design and deployment of AI-powered solutions, including machine learning (ML), generative AI, computer vision, NLP, and generative AI solutions for customers. Identify emerging AI trends and technologies to create competitive, scalable offerings. Leverage the existing code base/solutions to ideate and create re-usable assets/IPs. AI Team leadership and Talent Development Build and Lead cross-functional AI teams (Data Scientists, ML Engineers, AI researchers, Gen AI developers, Product Managers, etc.) Foster a culture of continuous learning, innovation, and collaboration. Establish AI training and upskilling programs for employees. Qualifications Qualifications & Experience: Bachelor’s degree in computer science or engineering. Good to have master’s degree/Post-graduate in IT, AI, Data Science, or related fields. 15+ years of experience in AI, data science, or machine learning, with a proven track record in leadership roles Strong knowledge of AI frameworks, Gen AI, cloud AI services, and big data technologies Good understanding of emerging technologies like Gen AI, Agentic AI etc. Experience in leading mid and large-scale AI transformations across domains such as Manufacturing, healthcare, retail, etc. Strong knowledge of AI ethics, governance, and regulatory considerations Excellent communication, leadership, and stakeholder management skills Key Competencies and Skills: Deep understanding of AI technologies, including NLP, Computer Vision, and Generative AI Strategic thinking and strong skills across leadership, collaboration and stakeholder management Ability to drive cross-functional teams towards AI innovation, deal closures and successful project delivery. Additional Information KPIs And Success Criterion AI-driven revenue generation and cost optimization Growth of AI portfolio in Bosch SDS, along with opportunity pipeline and AI Adoption across customers Growth of AI team, employee engagement and retention AI project delivery success rates and business outcomes/customer feedback Apply now See more open positions at Bosch Show more Show less

Job Description: Test Data Architect This job posting is for a senior-level manager who specializes in automating the movement and transformation of data (ETL) within a banking environment. We are seeking a highly skilled and self-driven Automation Manager to oversee and own design, build, and deploy of scalable ETL pipelines across hybrid environments including Cloudera Hadoop, Red Hat OpenShift, and AWS Cloud. This role focuses on developing robust PySpark-based data processing solutions, building testing frameworks for ETL jobs, and leveraging containerization and orchestration platforms like Docker and AWS EKS for scalable workloads. You will be responsible for automating ETL processes, integrating with data lakes and data warehouses, managing large datasets efficiently, and ensuring reliable data delivery through CI/CD-enabled workflows. What You'll Do (Developer Focus): Build Data Pipelines: Create programs using PySpark (a powerful data processing tool) to extract data from various sources (like databases and data lakes), clean and transform it, and load it into target systems Testing and Validation: Develop automated tests to ensure the data pipelines are working correctly and the data is accurate. This is like quality control, making sure everything meets the bank's standards Containerization and Orchestration: Package these data pipelines into containers (using Docker) and manage their execution using orchestration tools (like AWS EKS) Cloud Integration: Work with various cloud services (like AWS S3, Lambda, and Airflow) for data storage, processing, and scheduling Test Data Management - Oversee test data strategies and environment simulations for scalable, reliable automation. Experience with synthetic data generation Build and maintain ETL validation and testing scripts that run on Red Hat OpenShift containers Work with Hive, HDFS, and Oracle data sources to extract, transform, and load large-scale datasets Develop Dockerfiles and create container images for PySpark jobs Deploy and orchestrate ETL jobs using AWS EKS (Elastic Kubernetes Service) and integrate them into workflows Leverage AWS services such as S3, Lambda, and Airflow for data ingestion, event-driven processing, and orchestration Design and develop PySpark-based ETL pipelines on Cloudera Hadoop platform Create reusable frameworks, libraries, and templates to accelerate automation and testing of ETL jobs Participate in code reviews, CI/CD pipelines, and maintain best practices in Spark and cloud-native development Ensures tooling can be run in CICD providing real-time on demand test execution shortening the feedback loop to fully support Handsfree execution Regression , Integration, Sanity testing – provide solutions and ensures timely completion What You'll Do (Lead Focus): Team Management: Lead a team of automation professionals, guiding them on projects and helping them develop their skills Own and maintain automation best practices and educates team via meetings, Demos and Q&A sessions Ensures new utilities are documented and transitioned to testers for execution and supports for troubleshooting in case required Strategy and Planning: Define the overall strategy for automating data processes and testing, ensuring it aligns with the bank's goals Lead initiatives related to automation on Data & Analytics testing requirements for process and product rollout into production Tooling and Innovation: Research and implement new automation tools and techniques, including AI and machine learning, low-code solutions to improve efficiency Design and develop integrated portal to consolidate utilities and cater to user needs Collaboration: Work closely with other teams and partners to ensure smooth data operations and meet regulatory requirements. Cross team collaboration to ensure automated solutions are provided and can be run self sufficient Works with Business/Stakeholders to insure proper test coverage and Incident analysis and prevention Reporting and Metrics: Track key performance indicators (KPIs) related to automation for entire D&A team and report on progress to leadership. Automation ROI Analysis: Measure the impact of automation productivity, quality and cost; adjust strategy based on data Provides SMT forward looking agenda, plans, improvements, measured progress Monitors and reviews code check-ins from the Team and helps maintain project repository Skillset: 12-15 years of experience on automation testing across UI, Data analytics and BI reports in the Financial Service industry especially with knowledge of regulatory compliance and risk management Extensive knowledge on developing and maintaining automation frameworks, AI/ ML related solutions Detailed knowledge data flows in relational database and Bigdata (Familiarity with Hadoop (a platform for processing massive datasets)). Selenium BDD Cucumber using Java, Python Strong experience with PySpark for batch and stream processing deploying PySpark workloads to AWS EKS (Kubernetes) Proficiency in working on Cloudera Hadoop ecosystem (HDFS, Hive, YARN) Hands-on experience with ETL automation and validation framework. Strong knowledge of Oracle SQL and HiveQL Familiarity with Red Hat OpenShift for container-based deployments Proficient in creating Dockerfiles and managing container lifecycle Solid understanding of AWS services like S3, Lambda, EKS, Airflow, and IAM Experience with Airflow DAGs to orchestrate ETL jobs Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) Scripting knowledge in Bash, Python, and YAML Version Control: GIT, Bitbucket, GitHub Experience on automating BI reports e.g., Tableau dashboards and views validation Hands on experience in Python for developing utilities for Data Analysis using Pandas, NumPy etc Experience with mobile testing using perfecto, API Testing-SoapUI, Postman/Rest Assured, SAS Tools will be added advantage Strong problem-solving and debugging skills Excellent communication and collaboration abilities to lead and mentor a large techno-functional team across different geographical locations Strong Acumen and great presentation skills Able to work in an Agile environment and deliver results independently ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Us AssistNow is a fast-growing digital transformation company and a certified Workday Advisory & Co-Seller Partner. We specialize in Workday implementations, AI-powered enterprise solutions, and staffing services for healthcare, finance, and professional services industries across North America and APAC. Join our mission to Simplify. Innovate. Transform. Role Overview We are hiring full-time fresher-level Associate Consultants (0–1 years experience) to be trained and certified in Workday Extend, Integrations, and AI/Prompt Engineering. From Day 1, you will be a part of our technical consulting team, contributing to real-world client projects across industries while building your skills in enterprise automation and AI. Alongside technical training, you will receive structured coaching in business acumen, problem-solving, and communication, preparing you to become a high-impact enterprise consultant capable of delivering both technical and strategic outcomes. Responsibilities Participate in structured onboarding covering: Workday Extend and Studio Integrations API-based development (REST, SOAP, JSON, XML) Prompt Engineering and LLM-based automation (OpenAI, LangChain, etc.) Consulting foundations including stakeholder communication and problem framing Support live Workday + AI implementation projects for AssistNow clients Contribute to the architecture, development, and continuous improvement of in-house AI solutions. Engage in coaching sessions, team reviews, and client-facing workshops Requirements Eligibility BE/B.Tech / MCA / M.Sc (CS/IT) – Batch 2023, 2024 or 2025 preferred Strong programming background (Java, Python, or JavaScript) Interest in enterprise SaaS, cloud integration, and AI Excellent problem-solving, written, and verbal communication skills Must be based in or willing to relocate to Chennai Nice to Have Internship or academic project experience in: ERP (Workday, Salesforce, SAP), AI/ML, or cloud platforms Generative AI tools, OpenAI APIs, or LangChain Basic knowledge of SQL and familiarity with AWS, GCP, or Azure Benefits Full-time role with competitive salary Comprehensive training + official Workday certification path AI specialization and hands-on experience with LLM technologies Exposure to global clients and cross-functional teams Rapid career path toward Integration Consultant, Extend Developer, or AI Consultant Dedicated mentorship and structured career progression Show more Show less

Autodesk Design Pune, Maharashtra, India Posted on Jun 17, 2025 Apply now Job Requisition ID # 25WD89122 Position Overview We’re seeking a Senior UX Designer to help shape the future of manufacturing through Autodesk Fusion, our industry-leading design and make platform. In this role, you will apply strategic thinking, User-centered design, and systems-level insight to create solutions that support a broad range of users and real-world design challenges. You’ll work cross-functionally with global teams to deliver thoughtful, data-informed, and responsible AI-powered experiences that enhance the way products are imagined, designed, and built. Responsibilities Apply inclusive, human-centered design practices to generate deep user insights translate research and strategy into effective, accessible, and scalable design solutions Design and iterate on wireframes, prototypes, and high-fidelity UIs using Figma Plan and conduct user research and usability testing independently Use systems-level thinking to address complex, multi-layered design challenges, clearly communicate design intent through storytelling, visuals, and structured presentations Collaborate with product managers, engineers, and designers using tools such as Jira and Confluence Support and mentor peers; contribute to evolving design practices and culture Leverage qualitative and quantitative data to guide design decisions and track impact Facilitate inclusive workshops and co-creation sessions to foster alignment and ideation Monitor and improve design outcomes tied to user and business success metrics Minimum Qualifications 5+ years of experience in UX, interaction, or product design Proven experience designing user-centered digital products or platforms Proficiency in Figma and contemporary design tools Strong research and synthesis skills grounded in empathy and critical thinking Clear and confident communication, facilitation, and presentation abilities Experience working both independently and collaboratively in hybrid or distributed environments Demonstrated project leadership and peer support or mentorship Bachelor’s degree in design, HCI, or a related field, or equivalent practical Experience Preferred Qualifications Familiarity with AI/ML-powered product experiences Understanding of manufacturing workflows or design-to-make processes Experience with CAD, 3D visualization, or technical software Comfortable with ambiguity and evolving requirements in large-scale environments Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Apply now See more open positions at Autodesk Show more Show less

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team Team directly supports the Associate Learning & Development team at SSC-M. Providing content development support and maintenance of courseware as required. Working in partnership with the SSC-M team, priorities are Job Summary The primary purpose of this role is to consult with business partners and learning peers to design and develop learning solutions tied to business strategies that met or exceed organizational objectives. This includes responsibility for understanding root cause business issues, facilitating conversations with Subject Matter Experts (SMEs), determining appropriate learning modalities, project planning and developing complex, blended learning solutions.. This role is critical to Lowe's because it ensures Lowe's associates are equipped with the confidence and competence to serve Lowe's customers. Roles & Responsibilities Core Responsibilities: Develops instructional training delivery methods (i.e., in-person, online, self-service) and mediums such as audio-visual materials, production videos, instructor guides, and curriculum, as appropriate Consults with subject matter experts (SMEs) and key stakeholders to understand needs, create design documents, and gather insights that will ultimately impact the effectiveness of the learning solution Ensure adult learning principles and a systematic instructional design process is applied to create learning content that best fits the needs of the learner (includes online, classroom, virtual instructor-led training and blended learning content) Develops exercises, tutorials, job aids, assessments, and other methods of learning including social or connected learning strategies Advises on technological learning solutions and methodologies to enhance the efficiency and effectiveness of learning programs Supports the needs assessment for training and staff development to enhance the effectiveness of employee performance in achieving the goals and objectives of the company Uses instructional design methodology to design and develop blended learning solutions Creates modes of assessment, such as tests or quizzes, to measure the effectiveness of training solutions Elevates risks and proposes mitigation strategies to meet timelines Years Of Experience Overall L&D experience of 2-5 years, out of which at least 2 years of Instructional design role as well as developing content and facilitating, within HR/Learning & Development. Experience in establishing credibility with HR Leaders and business executives through consulting Exceptional stakeholder management and cross-functional skills. Strong interpersonal and communication skills. Ability to bring innovative Learning & Development ideas and proposals to the team that can improve associate career development. Self-starter, ability to learn fast and contribute. Ability to build strong organizational knowledge and understanding of the current gaps within capability development. Passion for career development, training, leadership, and helping associates develop to their fullest potential. Team-orientated, engaging, and energetic. Shares our values, and work in accordance with those values Education Qualification & Certifications (optional) Required Minimum Qualifications List the education, certification, and work experience for an incumbent in the job. Enter the Minimum Qualifications and Preferred Qualifications as directed, and delete the areas not used. List the education, certification, work experience and skills required to minimally qualify an individual for the job. Candidate must have completed their graduation. A degree in HR/Learning would be preferable Certifications in Instructional design would be an added advantage Skill Set Required Primary Skills (must have) Instructional Design (this includes developing training materials and content, online/e-learning modules, instructor-led materials, job aids, online tutorials, multimedia products (video, graphic, audio) and other training assets) Adobe Creative Cloud Articulate 360 Studio/Rise Workday Learning Secondary Skills (desired) Experience with video production/editing Axonify Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe’s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act’s privacy provisions. Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

About tsworks tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements. About this Role We are seeking a dynamic AI Engineer to join our AI Research and Development team. Our AI Research team focuses on solving unique challenges while pushing the boundaries of AI research and innovation, turning these advancements into real-world impact for our customers. The ideal candidate will have a strong foundation in data analysis, algorithm development, and machine learning infrastructure, building and training Large and Small Language Models with experience in both the product development and services industry. This role demands a deep understanding of Generative AI models, industry standard algorithms, software engineering and cloud technologies, with a strong focus on validation and optimization processes. Requirements In this role, you will be expected to perform: Algorithm Development: Develop, optimize, and validate state-of-the-art algorithms, including Generative AI. Generative AI Model development and training: Working with, evaluating and using the best Language model for each task, training and building custom LLMs as necessary, and performing necessary prompt engineering to build reliable outcomes. Model Validation: Create robust internal and external validation frameworks for AI/ML models, ensuring accuracy, reliability, and scalability Building AI Agents: Building and productionizing AI agents that cater to specific needs in the industry. Cloud Deployment: Design and deploy ML solutions on cloud platforms such as AWS , Azure , or GCP , ensuring efficiency and scalability. Data Insights: Analyze large-scale data sets to derive actionable insights and guide AI/ML solution design. Product Development: Collaborate with cross-functional teams to design and integrate AI/ML components into innovative products and services. Stay updated with the latest advancements in AI/ML and contribute to the broader research community. Minimum Qualifications: Bachelor’s degree or equivalent practical experience in Computer Science, Data Science, or a related technical field. 4+ years of experience in software development, working with data structures and algorithms in one or more programming languages (e.g., Python, Java, R). The candidate should have experience in Microservices or Application development and hands-on knowledge on Dev-Sec-Ops principles and practices. 1+ years of experience with state-of-the-art Generative AI models (e.g., LLMs, Multi-Modal, Large Vision Models) or related concepts (e.g., language modeling, computer vision). 2+ years of experience with ML infrastructure , including model deployment, evaluation, optimization, data processing, and debugging. Master’s degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies to ensure inclusivity in AI solutions. Knowledge of distributed systems, large-scale system design, or natural language processing. What We Offer: The opportunity to work on cutting-edge AI/ML projects that address real-world challenges. A collaborative environment where innovation and leadership are encouraged. Access to industry-leading tools and platforms, enabling you to push the boundaries of AI. About the Team: The tsworks AI Research Team focuses on advancing AI technology and applying it across industries. We work on diverse challenges, ranging from information retrieval to AI-driven healthcare solutions, aiming to deliver tangible customer benefits. Join us to be at the forefront of AI innovation, delivering meaningful impact to businesses and society. Location: This position is based in our Bangalore office with a hybrid work model requiring 3 days per week in the office. You will be working on research and client projects, collaborating with teams and stakeholders as needed. Show more Show less

AI is transforming the way businesses operate, yet most AI-powered products fail to deliver real, measurable impact. Companies struggle to bridge the gap between cutting-edge models and practical applications, leading to AI features that are difficult to use, expensive to run, and misaligned with real business needs. Despite rapid advancements, most AI products still suffer from poor adoption, high inference costs, and limited integration into existing workflows. At IgniteTech, we are solving this problem by focusing on AI that delivers tangible improvements in customer engagement, retention, and efficiency. We don't just build prototypes; we bring AI-powered products to market, integrating them directly into high-value workflows. Our approach prioritizes business outcomes over research experiments, ensuring that every AI-driven feature is optimized for usability, performance, and long-term sustainability. This is an opportunity to work on AI that isactively reshaping how businesses operate. This role is not a high-level strategy position focused on product roadmaps without execution. It is a hands-on product management role where you will define, build, and ship AI-powered features that customers actually use. You will work closely with ML engineers to translate business needs into technical requirements, making decisions about model performance, trade-offs between accuracy and speed, and the real-world costs of AI inference. The ideal candidate understands both the business impact of AI and the technical challenges of deploying it at scale. If your experience is limited to general AI awareness without direct involvement in shipping AI-powered products, this role is not the right fit. If you thrive on solving hard problems at the intersection of AI, product, and business, and you're eager to bring AI to market in a way that truly matters, then we want to hear from you! What You Will Be Doing Identifying specific applications of GenAI technology within IgniteTech's product range Creating detailed roadmaps for each product and creating POCs that simulate the AI vision for the new features Rolling out AI-driven functionalities, addressing any blockers to customer adoption, and ensuring smooth integration into the product suite What You Won’t Be Doing Anything related to software engineering or technical support Product Manager Key Responsibilities Designing high-quality, customer-centric AI solutions that enhance product adoption, engagement, and retention Basic Requirements 3+ years of product management experience in the B2B software industry Professional experience using generative AI tools, such as ChatGPT, Claude, or Gemini, to automate repetitive tasks About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5438-IN-Hyderaba-ProductManager Show more Show less

About Launch Ventures Launch Ventures is a niche, award-winning technology company that co-creates products with industry partners who bring valuable expertise in the domain for which the product is intended. We are working with a range of startups to Fortune 500 companies. Some of our early products have achieved global scale and attracted investments from the likes of Google. We work in web, mobile, IoT, Blockchain, Cloud and AI / ML based applications, and have worked across multiple industry domains (financial services, media, e-commerce and more). We care deeply about the products we build and the software craftsmanship that goes into making them. This has been our mission and passion, to take software products from concept to scale, maturely and responsibly. We don't just write code, we Launch Ventures. Position: Fullstack Developer We are looking for a Full-Stack JavaScript Developer with 2–4 years of experience, who is motivated to combine the art of design with the art of programming. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Responsibilities Write clean, testable (test driven), well architected software applications Setup tooling and infrastructure to ensure continuous and reliable delivery of software. Ensure cross-platform optimization for mobile phones Ensure responsiveness of applications See through a project from conception to finished product Minimum qualifications 2 - 4 years of advanced knowledge and practical experience in JavaScript and related libraries and frameworks such as ReactJS, Angular, Vue.js, etc. 2 - 4 years of advanced knowledge and practical experience in writing server side applications using Node.js in JavaScript libraries like Express.js, Hapi.js, LoopBack, etc. At least 1 year of experience in writing Unit test cases with libraries like Jest, Chai, Mocha, Jasmine, etc Strong understanding of JavaScript, its quirks, and workarounds Good understanding of web markup, including HTML5 and CSS3 Good understanding of asynchronous request handling, partial page updates, and AJAX Experience of working with code versioning tools, such as Git, in depth Experience with and an accurate understanding of agile methodologies Preferred qualifications Experience in Typescript is a plus Experience of working with CSS preprocessors such as SASS, Less Good understanding of browser rendering behavior and performance Experience of working with cross-browser compatibility issues and ways to work around such issues Familiarity with tools, such as Webpack, Grunt, npm, npx, nx, Light House You should certainly apply if: You enjoy crafting elegant, well-tested solutions, not just delivering working code The acronyms FP, OO, TDD, BDD, XP mean something to you You have logical and well researched opinions on existing and new technologies, and relish the learnings and challenges of working on different platforms and products You have experience with or interest in user-centred interaction design You have an entrepreneurial mindset You strive for yourself, your team and your organization to continuously learn and improve Show more Show less

34129BR Bangalore - Global Axis Job Description Job Description: Senior Cloud & AI Engineer Role Overview We are seeking a highly skilled Senior Cloud & AI Engineer to design, build, and optimize cloud-based AI/ML platforms. You will drive the platformization of our cloud infrastructure, leveraging Azure, OpenAI, and MLOps to deploy scalable AI solutions. This role is critical for advancing our AI capabilities and enabling seamless integration of tools like Copilot to enhance productivity and innovation. Exposure to AI Foundry preferred. Key Responsibilities Cloud Platform Development: Architect, implement, and manage Azure-based cloud platforms to support AI/ML workloads at scale. AI/ML Solutions: Design and deploy generative AI models (OpenAI) and end-to-end ML pipelines, ensuring robust MLOps practices for monitoring, testing, and CI/CD. Copilot Integration: Develop and optimize Copilot-based tools to automate code generation, data analysis, and workflow efficiency. Automation & Optimization: Script infrastructure-as-code (IaC) using Python, automate cloud resource management, and enhance platform reliability. Cross-functional Collaboration: Partner with data scientists and developers to operationalize AI models and ensure alignment with business goals. Best Practices: Establish governance, security, and cost-optimization strategies for cloud and AI resources. Required Skills & Qualifications Cloud Expertise: 5+ years in cloud engineering with Azure (IaaS/PaaS, AKS, Databricks, Synapse) and a focus on cloud platformization. AI/ML Proficiency: Hands-on experience with OpenAI, generative AI, and AI/ML Ops (e.g., MLflow, Azure ML). Programming: Advanced Python skills for automation, API development, and scripting. Copilot Tools: Proven ability to implement Copilot (GitHub/GitLab Copilot, Azure Copilot) for code/process automation. DevOps: Experience with CI/CD (Azure DevOps), containerization (Docker/Kubernetes), and IaC (Terraform/Bicep). Analytical Skills: Ability to troubleshoot complex systems and optimize performance. Preferred Qualifications Azure certifications (e.g., Azure Solutions Architect, Azure AI Engineer). Familiarity with big data tools (Spark, Delta Lake) and LLM fine-tuning. Knowledge of other cloud platforms (AWS/GCP) or AI frameworks (LangChain, Hugging Face). Education Bachelor’s/Master’s in Computer Science, Engineering, or related field. Qualifications B.Tech Range of Year Experience-Min Year 7 Range of Year Experience-Max Year 15 Show more Show less

About Levo.ai Levo.ai is an advanced and automated API security platform designed to proactively discover, document, monitor, and mitigate security risks. By leveraging an in-depth automated offensive security testing approach, Levo ensures that vulnerabilities are identified and addressed before they can be exploited. Our platform is fully aligned with essential security practices endorsed by OWASP, as well as compliance frameworks such as PCI, GDPR, and HIPAA. Traditional security methods often rely on manual processes, which are not only costly and error-prone but also leave organizations exposed to significant security risks. Levo revolutionizes this process by providing comprehensive visibility and testing coverage, reducing both cost and complexity while eliminating false positives. Our seamless integration between development and security teams ensures that security does not become a bottleneck but rather an enabler of innovation. Founded in 2021 by Buchi Reddy, a former engineering leader at AppDynamics, Cisco, and D.E. Shaw, Levo is backed by a team with extensive enterprise security and engineering expertise. Our mission is to ensure that business growth, deployment deadlines, security, and compliance are not conflicting priorities but rather integrated seamlessly into the software development lifecycle. Job Overview Levo.ai is seeking an experienced and highly motivated DevOps Engineer to join our team in Hyderabad. This role is critical in managing cloud infrastructure, optimizing deployment processes, ensuring system reliability, and enhancing operational efficiency. The ideal candidate will have extensive hands-on experience in operating platforms at scale, platform engineer, cloud computing, automation, CI/CD pipelines, container orchestration, and monitoring tools. Key Responsibilities Cloud Infrastructure Management: Design, deploy, and manage highly available and secure cloud environments using Kubernetes in AWS, Azure, or Google Cloud. CI/CD Pipeline Development: Build and maintain automated deployment pipelines using GitHub, GitLab CI/CD, or similar tools to streamline software releases. Infrastructure as Code (IaC): Automate infrastructure provisioning and management using Terraform, CloudFormation, or Ansible. Containerization & Orchestration: Deploy, scale, and manage containerized applications using Docker and Kubernetes. Monitoring & Logging: Implement robust monitoring and logging solutions with Prometheus, Grafana, ELK stack, or Datadog to ensure system performance and security. Security & Compliance: Enforce cloud security best practices, including Identity and Access Management (IAM), Role-Based Access Control (RBAC), and compliance with regulatory frameworks. Automation & Scripting: Develop scripts in Python, Bash, or PowerShell to automate operational tasks and improve system efficiency. Troubleshooting & Incident Management: Identify, diagnose, and resolve infrastructure issues to ensure high availability and system reliability. Collaboration & Optimization: Work closely with software developers, AI/ML teams, and security engineers to optimize workflows and improve overall efficiency. Requirements & Qualifications Minimum of 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles. 2 years of experience in deploying and operating distributed systems in production at scale. Strong hands-on experience with AWS, Azure, or Google Cloud services. Proficiency in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or CircleCI. Deep understanding of Infrastructure as **Code (IaC) with Terraform, CloudFormation, or Ansible. Expertise in containerization (Docker) and orchestration (Kubernetes).** Strong experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or Datadog. Solid understanding of cloud security principles, including IAM, RBAC, and compliance frameworks. Proficiency in scripting languages such as Python, Bash, or PowerShell for automation. Strong problem-solving skills with the ability to work in a** fast-paced, dynamic environment.** Excellent communication and collaboration skills to work effectively across teams. Preferred Qualifications Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent. Experience in AI/ML environments with MLOps best practices is a huge plus. Exposure to serverless computing and event-driven architectures. Prior experience working in early-stage startups or high-growth technology companies. What We Offer Competitive compensation and benefits package. Career growth opportunities in a rapidly expanding AI-driven company. A collaborative and innovative work culture that values autonomy and impact. The opportunity to work with cutting-edge technologies and solve real-world security challenges. If you are passionate about DevOps, cloud automation, and building secure, scalable infrastructure, we invite you to join us at Levo.ai and be part of a team that is redefining API security. Show more Show less

Job Category: AIML Job Type: Full Time Job Location: Bengaluru Mangalore Experience: 4-8 Years Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow Position Overview We are looking for an experienced AI/ML Engineer to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer. Job Type: Full-Time Job Location: Bengaluru Experience Required: 4-8 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles And Responsibilities Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning. Implement image preprocessing and advanced computer vision pipelines. Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices. Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models. Accelerate model inference using GPU programming with CUDA and cuDNN. Port and test models on embedded and edge hardware platforms. ( Orin, Jetson, Hailo ) Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks. Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services. Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training. Required Skills Strong programming experience in Python. Solid background in deep learning, CNNs, and transfer learning and Machine learning basics. Expertise in object detection, classification, segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo ) Understanding of image processing techniques. Familiarity with data pipelines, data preprocessing, and data analytics. Willingness to explore and contribute to Generative AI and cloud-based AI solutions. Good problem-solving and communication skills. Preferred (Nice-to-Have) Experience with C/C++. Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition). Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc. Knowledge of real-time deployment systems and streaming analytics. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities. Visit us on: CodeCraft Technologies LinkedIn : CodeCraft Technologies LinkedIn Instagram : CodeCraft Technologies Instagram Show more Show less

About The Role We are looking for a highly driven and experienced Data Scientist to join Uber's FinTech - Data Science team. In this role, you will have the amazing opportunity to shape how Uber understands and optimizes its financial performance across diverse business lines. You'll partner closely with Data Science, Product, Engineering, Finance, and other cross-functional stakeholders on fast-moving, high-stakes problems. A deep analytical and science passion and the ability to execute key business priorities are a must for this role. Your performance is measured by the insights you give, communication effectiveness, and the initiative to drive ideas and implement them into action! What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Analyze large volumes of financial and operational data to extract actionable insights, with a focus on key financial and business metrics Develop models to forecast financial metrics, detect anomalies, and support strategic decision-making across Uber's financial systems. Partner with stakeholders across Finance, Product, Engineering, and ML teams to design, prototype, and productionize end-to-end data science solutions. Build end-to-end data pipelines and self-serving dashboards. Automate whatever you can! Communicate your findings to cross-functional peers and management. Build tools and documentation that enable operational teams to independently explore financial metrics and monitor key performance indicators. Investigate and resolve discrepancies across multiple financial systems and datasets, ensuring consistency and trust in reported metrics Build effective visualizations to communicate data to key decision-makers Get a deep understanding of the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice. Basic Qualifications Bachelor's degree with 2+ years, or Master's degree with 1+ years, of relevant industry experience in Data Science or similar roles. Advanced SQL proficiency and strong understanding of data modeling. Solid foundation in statistical methods and data exploration techniques. Experience building dashboards or visualizations using Tableau, Plotly, Looker, or similar platforms. Strong communication skills, with the ability to translate data findings into clear recommendations to cross-functional stakeholders Preferred Qualifications Experience in Python/R for data analysis, modeling, and pipeline automation. Experience developing forecasting or anomaly detection models, ideally in financial or operational domains Demonstrated ability to decompose complex business problems into structured analytical approaches Proven success in cross-functional collaboration and stakeholder engagement. Prior exposure to finance or related industries is a plus Show more Show less

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations—including banks, financial institutions, and large enterprises—to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, every team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that our work not only advances technology but also meets the rigorous demands of regulated sectors. Role Overview As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You’ll lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities Model Evaluation & Customization: Evaluate, fine-tune, and implement appropriate AI/ML models on AryaXAI.com tailored for enterprise and regulated use cases. Consider factors such as accuracy, computational efficiency, scalability, and regulatory constraints. Architectural Assessment: Assess and recommend various model architectures, ensuring that selected solutions meet the high standards required by complex business problems in financial services and other regulated industries. Enterprise Integration: Lead the deployment of AI models into production environments, ensuring seamless integration with existing enterprise systems while upholding strict compliance and security standards. Advanced AI Techniques: Drive the development and implementation of state-of-the-art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred) Proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Technical Expertise: Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.). Diverse Data Handling: Experience working with varied data types—including textual, tabular, categorical, and image data—and the ability to develop models that handle complex, enterprise-level datasets. Deployment Proficiency: Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems. Publications & Contributions: Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded. Show more Show less

About The Job Position Name - Senior Data & AI/ML Engineer – GCP Specialization Lead Minimum Experience - 10+ years Expected Date of Joining - Immediate Primary Skill GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow Programming: Python & SQL MLOps: CI/CD for ML, Model deployment & monitoring Infrastructure-as-Code: Terraform Data Engineering: ETL/ELT, real-time & batch pipelines AI/ML Tools: TensorFlow, scikit-learn, XGBoos Secondary Skills GCP Certifications: Professional Data Engineer or ML Engineer Data Tools: Looker, Dataform, Data Catalog AI Governance: Model explainability, privacy, compliance (e.g., GDPR, fairness) GCP Partner Experience: Prior involvement in specialization journey or partner enablement Work Location - Remote What Makes Techjays An Inspiring Place To Work At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence. This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You’ll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development. Preferred Qualification GCP Professional Certifications: Data Engineer or Machine Learning Engineer. Experience contributing to a GCP Partner specialization journey. Familiarity with Looker, Data Catalog, Dataform, or other GCP data ecosystem tools. Knowledge of data privacy, model explainability, and AI governance is a plus. Work Location: Remote Key Responsibilities Data & AI/ML Architecture Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage. Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines. Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry. Define and implement data governance, lineage, monitoring, and quality frameworks. Google Cloud Partner Enablement Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions. Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP. Contribute to building repeatable solution accelerators in Data & AI/ML. Work with the leadership team to align with Google Cloud Partner Program metrics. Team Development Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning. Organize and lead internal GCP AI/ML enablement sessions. Represent the company in Google partner ecosystem events, tech talks, and joint GTM engagements. What We Offer Best-in-class packages. Paid holidays and flexible time-off policies. Casual dress code and a flexible working environment. Opportunities for professional development in an engaging, fast-paced environment. Medical insurance covering self and family up to 4 lakhs per person. Diverse and multicultural work environment. Be part of an innovation-driven culture with ample support and resources to succeed. Show more Show less

AI is transforming the way businesses operate, yet most AI-powered products fail to deliver real, measurable impact. Companies struggle to bridge the gap between cutting-edge models and practical applications, leading to AI features that are difficult to use, expensive to run, and misaligned with real business needs. Despite rapid advancements, most AI products still suffer from poor adoption, high inference costs, and limited integration into existing workflows. At IgniteTech, we are solving this problem by focusing on AI that delivers tangible improvements in customer engagement, retention, and efficiency. We don't just build prototypes; we bring AI-powered products to market, integrating them directly into high-value workflows. Our approach prioritizes business outcomes over research experiments, ensuring that every AI-driven feature is optimized for usability, performance, and long-term sustainability. This is an opportunity to work on AI that isactively reshaping how businesses operate. This role is not a high-level strategy position focused on product roadmaps without execution. It is a hands-on product management role where you will define, build, and ship AI-powered features that customers actually use. You will work closely with ML engineers to translate business needs into technical requirements, making decisions about model performance, trade-offs between accuracy and speed, and the real-world costs of AI inference. The ideal candidate understands both the business impact of AI and the technical challenges of deploying it at scale. If your experience is limited to general AI awareness without direct involvement in shipping AI-powered products, this role is not the right fit. If you thrive on solving hard problems at the intersection of AI, product, and business, and you're eager to bring AI to market in a way that truly matters, then we want to hear from you! What You Will Be Doing Identifying specific applications of GenAI technology within IgniteTech's product range Creating detailed roadmaps for each product and creating POCs that simulate the AI vision for the new features Rolling out AI-driven functionalities, addressing any blockers to customer adoption, and ensuring smooth integration into the product suite What You Won’t Be Doing Anything related to software engineering or technical support Senior Product Manager Key Responsibilities Designing high-quality, customer-centric AI solutions that enhance product adoption, engagement, and retention Basic Requirements 3+ years of product management experience in the B2B software industry Professional experience using generative AI tools, such as ChatGPT, Claude, or Gemini, to automate repetitive tasks About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5438-IN-Gurgaon-SeniorProductM Show more Show less

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Specialist, Full Stack Developer What does a successful CEG Developer do at Fiserv? You will be part of a Team of Professionals who excel in delivering world class technology solutions for Fiserv You will get he opportunity to work on hot technology trends like Cloud, Containerization, event streams, DevOps, AI/ML etc. Your will be involved in developing, and supporting the solutions that are delivered, suiting to the business needs. Your role requires you to work with surround teams that are involved in providing the wholistic solution to business. Your direct and indirect involvement will result in our business units being successful and earn appreciation for the group. What You Will Do Responsible to drive full stack application development using React & Java. Develop distributed, highly scalable, efficient, and fault-tolerant systems focused on creating solutions using Microservice architecture. Build Solutions and Platforms for enterprise wide reuse. Participating in development activities with onshore resources. Conducting technical walkthroughs with all stakeholders. Build proof of concepts, develop application using industry best practices and standards Influence and implement best practices, solutions and processes Work in agile teams to deliver user stories on time and at high quality. What You Will Need To Have Strong working experience on Java/ J2EE technologies like Spring 6.0, Spring boot, Spring Micro services, Spring JPA, Spring Web flux, Hibernate etc. Experience in JSON, Swagger, REST APIs, XML, XML Schemas, and Web Service technology Experience working in SQL and No SQL Databases Strong cloud foundation (Azure/AWS). Experience working on containers and container management - Docker, Podman, Kubernetes Agile development experience Collaborate with multiple teams to provide technical knowhow, solutions to complex business problems A strong engineering and experimentation mindset to learn and adopt new technologies and opensource packages What Would Be Great To Have Experience on Python Knowledge of Machine Learning & AI Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Show more Show less