22983 Ml Jobs - Page 36

Job Title: Technical Lead - Data Engineering Career Level: E Introduction to role Are you ready to make a significant impact on patient lives through data and technology? Join our Operations IT team, where we partner with various Operations capability areas to redefine our ability to develop life-changing medicines. As part of the Data Analytics and AI (DA&AI) organization, you'll deliver innovative solutions that empower our business to perform at its peak. As the Technical Lead, you'll drive the successful technical delivery of projects aligned with business goals, using your deep technical expertise across data, cloud engineering, software engineering, AI, and more. Are you prepared to lead and coordinate technical workstreams and collaborate with team members both internally and externally? Accountabilities Collaborate closely with product managers, architects, and delivery managers to provide technical knowledge and support. Lead the technical vision of the product and work with multi-functional teams to define designs that meet objectives. Compile detailed technical designs, refine user stories, and ensure consistency to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of Service Introduction deliverables. Ensure alignment with regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions adhere to FAIR principles for enhanced data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Good understanding of DevOps and DataOps ways of working Shown expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Supervise the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Lead the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Strong hands-on experience with Snowflake, ETL processes, SQL, and Python Proficiency in either API development or UI development Working knowledge and experience with AWS Desirable Skills/Experience Bachelor's or master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios. Possess solid understanding of basic prompting techniques and continuously improve these skills. Stay up-to-date with developments in AI and GenAI, applying new insights to work-related situations Familiarity with GitHub and GitHub Actions is a plus When we put unexpected teams in the same room, we ignite aggressive thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world. At AstraZeneca, we connect across the entire business to power each function towards better patient outcomes. Our work is impactful and valuable, driving innovative transformation on our journey to becoming a digital and data-led enterprise. Collaborate with leading experts in specialist communities, access innovative techniques, and be part of novel solutions. We thrive on breaking new ground while maintaining high ethical standards. Here, innovation meets large-scale impact as we turn sophisticated information into life-changing insights every day. Ready to take on this exciting challenge? Apply now to join us on this dynamic journey! Date Posted 18-Jul-2025 Closing Date 22-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Introduction To Role Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle longstanding life sciences challenges? Then Evinova, a new healthtech business within the AstraZeneca Group, might be for you! Transform billions of patients’ lives through technology, data, and cutting-edge ways of working. You’re disruptive, decisive, and transformative—someone who’s excited to use technology to improve patients’ health. We’re building Evinova, a fully-owned subsidiary of AstraZeneca Group, to deliver market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Smart risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we’re helping. Launch game-changing digital solutions that improve the patient experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector. Accountabilities The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is newly formed to spearhead the design, creation, and operational excellence of our entire ML/AI data and computational AWS ecosystem to catalyze and accelerate science-led innovations. This team is responsible for the design, implementation, deployment, health, and performance of all algorithms, models, ML/AI operations (MLOps, AIOps, and LLMOps), and Data Science Platform. We manage ML/AI and broader cloud resources, automating operations through infrastructure-as-code and CI/CD pipelines, ensuring best-in-class operations—striving to push beyond mere compliance with industry standards such as Good Clinical Practices (GCP) and Good Machine Learning Practice (GMLP). As a ML/AI Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of MLOps systems for our trial management and optimization SaaS product. You will collaborate closely with data scientists to transition projects from embryonic research into production-grade AI capabilities, utilizing advanced tools and frameworks to optimize model deployment, governance, and infrastructure performance. This position requires a deep understanding of cloud-native ML/AI Ops methodologies and technologies, AWS infrastructure, and the unique demands of regulated industries, making it a cornerstone of our success in delivering impactful solutions to the pharmaceutical industry. Role & Team Key Responsibilities Operational Excellence Lead by example in creating high-performance, mission-focused and interdisciplinary teams/culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people. Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest. Design and implement resilient cloud ML/AI operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability). Drive precision and systemic cost efficiency, optimized system performance, and risk mitigation with a data-driven strategy, comprehensive analytics, and predictive capabilities at the tree-and-forest level of our ML/AI systems, workloads and processes. ML/AI Cloud Operations and Engineering Develop and manage MLOps/AIOps/LLMOps systems for clinical trial design, planning and operational optimization. Partner closely with data scientists to shepherd projects from embryonic research stages into production-grade ML/AI capabilities. Leverage and teach modern tools, libraries, frameworks and best practices to design, validate, deploy and monitor data pipelines and models in production (examples include, but are not limited to AWS Sagemaker, MLflow, CML, Airflow, DVC, Weights and Biases, FastAPI, Litserve, Deepchecks, Evidently, Fiddler, Manifold). Establish systems and protocols for entire model development lifecycle across a diverse set of algorithms, conventional statistical models, ML and AI/GenAI models to ensure best-in-class Machine Learning Practice (MLP). Enhance system scalability, reliability, and performance through effective infrastructure and process management. Ensure that any prediction we make is backed by deep exploratory data analysis and evidence, interpretable, explainable, safe, and actionable. Personal Attributes Customer-obsessed and passionate about building products that solve real-world problems. Highly organized and detail-oriented, with the ability to manage multiple initiatives and deadlines. Collaborative and inclusive, fostering a positive team culture where creativity and innovation thrive. Essential Skills/Experience Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture. Expert in MLflow, SageMaker, Kubeflow or Argo, DVC, Weights and Biases, and other relevant platforms. Strong software engineering abilities in Python/JavaScript/TypeScript. Expert in AWS services and containerization technologies like Docker and Kubernetes. Experience with LLMOps frameworks such as LlamaIndex and LangChain. Ability to collaborate effectively with engineering, design, product, and science teams. Strong written and verbal communication skills for reporting and documentation. Minimum of 4 years in ML/AI operations engineering roles. Proven track record of deploying algorithms and machine learning models into production environments. Demonstrated ability to work closely with cross-functional teams, particularly data scientists. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca is where creativity meets critical thinking! We embrace technology to reimagine healthcare's future by predicting, preventing, and treating conditions more effectively. Our inclusive approach fosters collaboration internally and externally to share diverse perspectives. We empower our teams with trust and space to explore innovative solutions that redefine patient experiences across their journey. Join us as we drive change that benefits both business and patients. Ready to make an impact? Apply now to join our journey towards transforming healthcare! Date Posted 18-Jul-2025 Closing Date 31-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a Mathematics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical mathematics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced mathematical concepts. Key Responsibilities: Create high-quality, accurate, and pedagogically sound content in mathematics, including: Conceptual explanations Problem sets and solutions Theoretical summaries and derivations Research abstracts and technical writing Collaborate with AI researchers and engineers to: Review and refine mathematics-related model outputs Identify and fill conceptual gaps in LLM training data Build datasets across various mathematics domains (e.g., Algebra, Calculus, Geometry, Linear Algebra, Probability, Statistics, Number Theory, Discrete Math, etc.) Provide feedback to improve LLM performance in reasoning, solving, and communicating mathematical content Eligibility Criteria: PhD in Mathematics or a closely related discipline (MS with exceptional experience may be considered) Strong background in theoretical and/or applied mathematics Excellent technical and academic writing skills As part of the project, you are required to complete the English language assessment. *The assessment is mandatory & non-billable* If interested, kindly share your updated resume at : tsingh3@innodata.com

Hiring: Computer Science Faculty Position: Computer Science Faculty Location: Vijayawada Salary: Competitive (Based on experience) Experience Required: 2+ years (Academic/Industry) Qualification: M.Tech, MCA, M.Sc (Computer Science) Job Type: Full-Time Reporting to: Principal Job Responsibilities: Teach undergraduate and postgraduate Computer Science courses Develop and enhance curriculum to align with industry standards Guide students in projects, research, and hands-on learning Stay updated with emerging technologies in programming, AI, ML, Data Science, and more Mentor students for placements and industry readiness Who Can Apply? Candidates with academic or industry experience are welcome Strong technical expertise in software development, AI, cybersecurity, cloud computing, or related fields (Part-time) Passion for teaching, mentoring, and curriculum innovation Industry professionals may apply (salary expectations may vary) Apply Now! Send your CV to [your email] or apply. Know someone who fits this role? Tag them! #Hiring #ComputerScience #FacultyJobs #EducationJobs #CSFaculty #TechCareers #AcademicCareers

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. ___________________________________________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics ____________________________________________________________________________________________________________ About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.)

Job Description Circle K (Part of Alimentation Couche-Tard Inc., (ACT)) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. This is a unique opportunity to be a part of an experienced team of data scientists and analysts within a large organization. The Data Scientist is responsible for delivering advanced analytics and insights that drive business results and operational excellence to our dynamic and forward-thinking Merchandise team in Europe. The ideal candidate should possess both technical capabilities as well as commercial savviness, should be able to drive independent analysis as well as work effectively in a group. About The Role We are looking for an individual who is a proven problem solver with exceptional critical thinking ability. The candidate should have a high sense of curiosity and be comfortable with ambiguity when faced with a difficult challenge. Additionally, the candidate should possess excellent communication skills, the ability to collaborate with others, and simply and effectively communicate complex concepts with a non-technical audience. Roles & Responsibilities Analytics (Data & Insights) Evaluate performance of categories and activities, using proven and advanced analytical methods Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis Oversee the design and measurement of experiments and pilots Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas Stakeholder Management Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Be an advocate for a data-driven culture among the stakeholders Job Requirements Education A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar Relevant Experience Experience: 3-4 years for Data Scientist Relevant working experience in a quantitative/ applied analytics role Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python Excellent communication skills in English, both verbal and written Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems Business intelligence & reporting (Power BI) Cloud computing services in Azure/ AWS/ GCP for analytics

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company and a leader in the convenience store and fuel space with over 16,700 stores. It has footprints across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Associate ML Ops Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for implementing Azure data services to deliver scalable and sustainable solutions, build model deployment and monitor pipelines to meet business needs. Roles & Responsibilities Development and Integration Collaborate with data scientists to deploy ML models into production environments Implement and maintain CI/CD pipelines for machine learning workflows Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management. Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure Automation & Monitoring Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments. Collaboration and Communication Work closely with data scientists to ensure that models are production-ready Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications. Optimization and Scaling Optimize ML pipelines for performance and cost-effectiveness Operational Excellence Help the Data teams leverage best practices to implement Enterprise level solutions. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Helping to define common coding standards and model monitoring performance best practices Continuously evaluate the latest packages and frameworks in the ML ecosystem Build automated model deployment data engineering pipelines from plain Python/PySpark mode Stakeholder Engagement Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle. Job Requirements Education & Relevant Experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1-2 years of relevant working experience in MLOps Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Knowledge of core computer science concepts such as common data structures and algorithms, OOPs Programming languages (R, Python, PySpark, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Exposure to ETL tools and version controlling Experience in building and maintaining CI/CD pipelines for ML models. Understanding of machine-learning, information retrieval or recommendation systems Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, GitLab).

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Associate Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About The Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications And Experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1–2 years of relevant working experience in a data science/advanced analytics role Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment.

Senior Manager - Presales (CPaaS RCS) Mobility Sales| Mumbai (Lower Parel) Full-time •Are you ready to be a Strategic partner for our GTM teams? •Are you obsessed with equipping our Sales teams with the solutioning skills and ready to close on customers? If so, this is an opportunity for you to join a high-functioning team and make your mark on our organisation! What will you do? - Collaborate with the sales team to understand client requirements and create tailored RCS/CPaaS solutions. - Conduct product demonstrations and technical walkthroughs of CPaaS capabilities including RCS, SMS, WhatsApp, and Voice. - Prepare solution proposals, RFIs, RFPs, and presentations aligned with customer goals. - Map customer use-cases to product features and create mock journeys or proof-of-concept campaigns. - Work closely with product and engineering teams to provide feedback and influence product roadmap. - Stay updated on GSMA RCS protocols, Google Jibe standards, and CPaaS industry trends. - Develop and execute GTM plans for CPaaS offerings, especially new RCS-based features or integrations. - Help create enablement content for sales (pitch decks, battle cards, use-case playbooks). - Define competitive positioning, ICP alignment, and vertical messaging for CPaaS. - Partner with product marketing to support launch readiness and messaging consistency. - Participate in analyst briefings, webinars, and industry events to establish thought leadership. What are we looking for? - 8 to 10 years of experience in Pre-Sales, Solution Consulting, or GTM roleswithin a SaaS, CPaaS, or Telecom environment. - Strong domain know owledge in CPaaS (RCS, SMS) and understanding of messaging workflows, fallback logic, and APIs. - Demonstrated success in owning solution cycles with enterprise clients. - Exposure to GTM planning and cross-functional coordination with sales, marketing, and product. - Familiarity with customer engagement use-cases in industries like BFSI, eCommerce, Retail, or D2C. - Exceptional communication, storytelling, and presentation skills. - Experience with Postman, Swagger, or similar tools for API testing is a plus. - Any Graduate , MBA - Marketing and International Business preferred. Why Netcore? - Netcore Cloud stands as a pioneering leader in customer engagement and experience (CEX) solutions. We empower businesses of all sizes to personalize customer journeys, optimize marketing campaigns, and drive unparalleled growth. As a cutting-edge SaaS company, we deliver AI-powered customer experiences that have earned the trust of global brands like Tommy Hilfiger, Crocs, Hamleys, McDonald's, Kentucky Fried Chicken, and The Body Shop for over 25 years. - Our impact is substantial: we proudly serve 6,500+ clients across 40+ countries, deliver 20 billion emails a month, and meticulously track 120 trillion marketing events every year. Innovation is in our DNA; Netcore Cloud is recognized as the first and leading AI/ML-powered Customer Engagement and Experience (CEE) Platform. We help B2C brands significantly boost engagement, conversions, revenue, and retention through our advanced SaaS products, which enable personalized engagement across the entire customer journey and build truly amazing digital experiences. - Our comprehensive Martech platform seamlessly integrates: Customer Engagement, Emails, Personalization, Product Experience, Search, Browse, Recommendations, and Analytics. -Netcore uniquely combines deep industry experience with an agile, forward-thinking mindset. We are the trusted partner for over 70% of Unicorns in India, solidifying our position as a top-rated customer engagement & experience platform globally. Headquartered in Mumbai, our global footprint extends across 14 countries, including key markets like the United States and Germany. - Our consistent recognition as a Great Place to Work for the seventh consecutive year underscores our commitment to being a truly people-centric company, where every individual is a valued family member. A career at Netcore Cloud is more than just a jobit's an exceptional opportunity to shape the future of customer experience. For more information, we invite you to visit netcorecloud.com or follow us on LinkedIn. Why Join Us? - Work th intersection of technology, strategy, and marketing in a future facing industry. - Help shape the CPaaS and RCS roadmap for leading global brands. - Fast-paced, growth-oriented culture with flexible work options and global exposure.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Develop and deploy AI/ML solutions to address complex business problems and impactful needs. Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques. Engage in research and development of innovative AI/ML techniques. Create, document, and deliver AI/ML program updates for stakeholders. Implement and maintain efficient data pipelines using SDLC best practices. Develop, optimize, and execute for smooth data extraction, transformation, and reporting. Create dashboards and monitoring tools to support ongoing data quality and performance. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with team members to operationalize end-to-end AI/ML solutions. Collaborate with cross-functional teams to align with the mission and vision of the organization. Required Qualifications, Capabilities, And Skills Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience Proven experience in data engineering and applied AI/ML. Strong skills in data wrangling, analysis, and modeling. Experience in developing scalable data systems and impactful AI/ML models. Ability to engage with stakeholders and translate business requirements into technical solutions. Strong collaboration skills to work across teams and drive strategic initiatives. Understanding of software quality, operational efficiency, and strategic goal achievement. Ability to address existing skill gaps and technical debt in data engineering and AI/ML. Experience in merging traditional data engineering with AI/ML-driven solutions. Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $5 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With Arista Networks is looking for a Software Developer to build and implement software tools and Machine Learning models. The ADE will work with other Developers throughout the software development life cycle. The role necessitates Team Player abilities with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular Machine learning models, we’d like to meet you. The goal will be to build efficient programs and systems that serve user needs Collect, process, and clean large data sets from various sources. What You’ll Do Design machine learning systems Apply statistical analysis and machine learning techniques to solve complex business problems. Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Visualize data and present findings to stakeholders using data visualization tools. Verify and deploy programs and systems Troubleshoot, debug and upgrade the existing systems Recommend and execute improvements Create technical documentation for reference and reporting Collaborate with cross-functional teams to implement data-driven solutions. Stay updated with the latest advancements in data science and machine learning. Study and transform data science prototypes Qualifications Bachelor’s Degree in Computer Science from a four-year college or university or related experience and/or training; or equivalent combination of education and experience. 5 to 8 years experience. Attention to detail Knowledge of Python and SQL. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib. Experience in using Jupyter notebooks to collaborate on research is a plus. Familiarity with Agile software development methodology Creative thinker and team player Should be ready to adopt new technologies Excellent communication skills Resourcefulness and troubleshooting aptitude Nice To Have Working experience in docker and K8s deployments Working Experience in AWS/GCP Working experience with Network technologies Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

Company Description Vrinsoft Technology Pvt Ltd, the No.1 Mobile App Development Company in India, has been committed to client success for over 15 years. Renowned for expertise in AI/ML, Digital Transformation, Flutter, React, and Custom Apps, the company has a team of over 200 professionals, noted as India's top 1% expert resources. Vrinsoft delivers reliable solutions to clients worldwide, including the USA, UK, Canada, Australia, Germany, and UAE. With 2,000+ apps developed across industries like retail, healthcare, fintech, and logistics, Vrinsoft focuses on providing a smooth and effective app development experience for businesses of all sizes. Role Description This is a full-time on-site role for a Senior Customer Success Manager located in Ahmedabad. The Senior Customer Success Manager will be responsible for managing customer relationships, ensuring product adoption, and maximizing customer satisfaction. Day-to-day tasks include onboarding new clients, providing continuous support, and acting as a liaison between clients and internal teams to resolve issues efficiently. The role also involves understanding customer needs, delivering tailored solutions, and driving overall customer success strategies. Qualifications Possess skills in Back-End Web Development, and Software Development Experience with Programming and Object-Oriented Programming (OOP) Proficiency in Databases Excellent communication and interpersonal skills Strong problem-solving and analytical abilities Experience working in a client-facing role is a plus Bachelor's degree in Computer Science, Engineering, or a related field

AI/ML Lead Experience : 8+ Yrs Relevant Exp : 5+ Years Location : Remote Duration : 6 months & extendable Work Timings: 10 am to 7 pm IST Industry/Domain: Medical Budget : up to 1.1L per month Job Overview: AI/ML Lead We are seeking a dynamic and technically strong AI Lead with 6–8 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsoft’s AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Mandatory Skills Required: • 5+ years in AI/ML or Conversational AI • Azure ML / Cognitive Services / AI Foundry • Experience with LLMs, NLP (GPT, BERT) • Integration with Microsoft Graph, REST APIs • Prompt engineering, fine-tuning • RAG architecture, embeddings, vector DBs • Azure OpenAI Services & APIs • M365 Copilot APIs / Plugin development • Microsoft Copilot Studio • Python/Node.js coding & orchestration • Microsoft Bot Framework (SDK, Composer) • Good to have CI/CD, Azure DevOps, containerization (Docker/K8s) Must Have Skills: • 6–8 years of overall experience, including 5+ years in AI/ML or Conversational AI • Deep hands-on knowledge of: • Azure OpenAI services and APIs • Copilot Studio for building Microsoft 365-integrated assistants • Microsoft Bot Framework SDK/Composer for chatbot development • Prompt engineering for LLM optimization • Strong Python or Node.js development skills (for AI orchestration and integration) • Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) • Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps • Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) • Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) • Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: • Experience with Semantic Kernel or LangChain. • Working knowledge of AI Foundry for orchestrating AI pipelines. • Familiarity with Copilot extensibility and Teams App Studio. • Exposure to M365 Copilot APIs and custom plugin creation. • Knowledge of Responsible AI, data security, and compliance principles. • Familiarity with containerized deployment (Docker, Kubernetes). • Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance. • Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI. Key Responsibilities : • Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. • Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. • Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. • Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. • Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). • Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. • Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines. • Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. • Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. • Create documentation and reusable components/templates for repeated use across the organization. • Stay current on Microsoft’s AI advancements and recommend tools, features, or practices that improve time-to-value and performance. • Design, build and maintain automated unit and integration tests • Support healthy system operations and ensure high levels of availability are achieved. Be part of the on-call rotation during business hours NOTE Copilot, Azure, Microsoft bot framework experience must, and other Mandatory Skills are mentioned in the JD. Make sure every skill mentioned in the resume as well (Overall Summary, Technical Skillsets Table, Projects)

🚀 We're Hiring | Machine Learning Engineer | 3–6 Years Experience | Noida / Hyderabad (Hybrid) Are you an experienced ML Engineer ready to hit the ground running? Xebia is hiring for a Machine Learning Engineer role – immediate joiners or candidates with ≤ 2 weeks notice only. 🔍 What We're Looking For: Proven experience with AWS Machine Learning Services (e.g., SageMaker, AWS ML Suite) Solid understanding of ML model lifecycle , evaluation techniques & real-world deployment Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn Experience with SaaS-based ML platforms (like Dataiku, Indico, H2O.ai or similar) Working knowledge of AWS Data Engineering tools – S3, Glue, Athena, Lambda Strong track record of delivering end-to-end ML solutions 📍 Location: Noida or Hyderabad Hybrid – 3 days per week from office ⚠️ Note: Apply only if you are an Immediate Joiner or can join within 2 weeks. 📩 To Apply: Send your updated CV along with the below details to: 📧 vijay.s@xebia.com Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (Noida / Hyderabad) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile URL #Xebia #HiringNow #MachineLearning #AWSJobs #SageMaker #DataScience #Python #HybridJobs #ImmediateJoinersOnly #MLJobs #NoidaJobs #HyderabadJobs

Job Title: Senior Technical Recruiter / Senior HR Manager Location: Patna Department: Talent Acquisition / Human Resources Reports To: Talent Acquisition Manager / Director of HR Looking for Immediate joiners - 10 Days About Company Gravity Engineering Services is a Digital Transformation and Product Engineering companybased in USA, Europe and India, through cutting-edge IT solutions. Our diverse portfolioincludes Generative AI, Commerce Technologies, Cloud management, Business Analytics andMarketing technologies. We are on a mission for Building experiences and influencing change through delivering digital consulting services that drive innovation, efficiency, and growth for businesses globally, with a vision to be the world's most valued technology company, driving innovation, and making a positive impact on the world. Our goal is to achieve unicorn status (valuation of $1 billion) by 2030. We are looking for an experienced Senior Technical Recruiter to join our growing team. In this role, you will be responsible for sourcing, engaging, and hiring top technical talent across a variety of engineering, data, product, and IT roles. You will partner closely with hiring managers and business leaders to understand hiring needs, develop effective recruiting strategies, and deliver a seamless candidate experience. Key Responsibilities Lead full-cycle recruitment for technical positions including software engineers, data scientists, DevOps, product managers, and IT specialists. Partner with hiring managers to define job requirements, develop job descriptions, and build sourcing strategies. Use multiple channels (LinkedIn, GitHub, Stack Overflow, job boards, employee referrals, Naukri etc.) to proactively source high-quality candidates. Screen resumes, conduct initial interviews, and manage candidate pipelines. Provide market intelligence, talent mapping, and strategic hiring insights to leadership. Facilitate a positive and professional candidate experience from first contact to offer acceptance. Collaborate with HR and hiring managers to define and implement employer branding initiatives. Track and report recruitment metrics to improve processes and performance. Stay updated with tech industry trends and best practices in talent acquisition. Mentor junior recruiters and contribute to the development of recruiting best practices. Requirements Bachelor's degree in Human Resources, Business, IT, or a related field. 3+ years of technical recruiting experience, preferably in a fast-paced tech environment or agency setting. Deep knowledge of technical roles and technologies (e.g., Java, Python, AWS, DevOps, AI/ML, etc.). Proven experience with sourcing tools and applicant tracking systems (e.g., LinkedIn Recruiter, KEKA ). Excellent interpersonal, communication, and stakeholder management skills. Strong organizational skills with the ability to manage multiple roles and priorities. Data-driven mindset and familiarity with recruitment metrics. A passion for finding and attracting top talent and building diverse teams. Team Lead - as a positive point . Preferred Qualifications MBA - HR Experience recruiting for startups or scaling technology companies. Certifications in recruiting or talent acquisition. Skills: team lead,technical recruiter,data analysis,sourcing,talent acquisition,technical hiring,sales hiring,employer branding,communication,technical recruiting,consulting,organizational skills,mentoring,stakeholder management,linkedin,hiring,recruiter

JOB DESCRIPTION Key Responsibilities:  Develop EEE-based projects using MATLAB/Simulink for undergraduate, postgraduate, and Ph.D. scholars.  Design, model, and simulate power systems, control systems, signal processing, image processing, machine learning, IoT, and embedded systems applications.  Assist students and researchers in algorithm development, code optimization, and simulation execution.  Provide training and technical guidance on MATLAB programming and Simulink modeling.  Develop documentation, reports, and research papers related to project work.  Stay updated with the latest research trends and emerging technologies in the EEE domain.  Debug and troubleshoot MATLAB/Simulink models to ensure accuracy and efficiency.  Collaborate with faculty, research scholars, and students to enhance project outcomes. Required Skills & Qualifications:  Bachelor's/Master’s/Ph.D. in Electrical, Electronics, Power Systems, Control Systems, or a related field.  Proficiency in MATLAB & Simulink with experience in modeling, simulation, and debugging.  Strong knowledge of power electronics, renewable energy systems, signal processing, image processing, AI/ML applications in EEE, and IoT.  Hands-on experience in control system design, optimization techniques, and embedded system interfacing is an advantage.  Good understanding of research methodologies and technical paper writing.  Strong analytical, problem-solving, and communication skills.  Ability to train and mentor students and research scholars effectively. Applicant can Directly contact HR : through WhatsApp or call at 8688400273 Job Types: Full-time, Permanent, Fresher Pay: From ₹180,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Sales Leader - Global Expansion Location: HQ: Gurgaon, India Department: Revenue & Growth Experience Required: 5-8 years B2B tech sales leadership The Opportunity Join CreateBytes as we accelerate our global expansion into premium enterprise markets across North America, Europe, and APAC. We're seeking an exceptional Sales Leader to architect and execute the revenue strategy that transforms CreateBytes into a globally recognized AI-first technology platform. Revenue Transformation Scale enterprise revenue through aggressive expansion into high-value global markets Transform business model from project-based to recurring revenue streams Build premium market positioning to compete with global technology leaders Establish predictable, scalable revenue growth across multiple geographies Market Expansion & Positioning Target Fortune 500 enterprises in FinTech, HealthTech, Defense, GovTech, and Industrial IoT Position dual value proposition : AI-powered services + proprietary SaaS platforms Establish CreateBytes as a premier AI solutions provider competing globally with industry leaders Launch industry-specific solutions with premium pricing and positioning Strategic Partnership Ecosystem Secure Tier-1 cloud partnerships (AWS, Microsoft, Google, NVIDIA) with substantial co-sell opportunities Drive partner-sourced pipeline through hyperscaler channels and system integrator alliances Establish CreateBytes as preferred AI implementation partner for major technology providers Key Responsibilities Design and implement world-class sales infrastructure with real-time analytics and forecasting Build predictable enterprise pipeline with high forecast accuracy Standardize enterprise sales playbooks for consistent large deal execution Optimize sales cycles through value-based selling methodologies Personally lead enterprise deals across multiple geographies Build and manage global sales organization spanning Americas, EMEA, and APAC Execute Account-Based Marketing campaigns targeting Global 2000 prospects Drive data-driven demand generation with continuous experimentation Collaborate with product teams to package AI/ML capabilities into scalable platforms Drive product-led growth initiatives with strategic market entry Establish vertical-specific go-to-market strategies with specialized approaches Launch partnership and API monetization strategies Position CreateBytes leadership as global AI innovators through industry engagement Develop strategic industry events and thought leadership initiatives Build CreateBytes' reputation in Enterprise AI and emerging technology markets Establish relationships with industry analysts and technology influencers What Makes You Exceptional 5+ years leading B2B tech sales with proven experience scaling revenue exponentially Enterprise deal expertise closing significant transactions with C-suite buyers Global expansion experience building sales capabilities across multiple regions AI/ML market knowledge with understanding of enterprise technology adoption World-class communication skills - comfortable presenting to executives and technical teams Native English fluency with ability to engage global enterprise decision makers Inclusive leadership philosophy with track record building high-performing, diverse teams Cultural intelligence to navigate enterprise sales across international markets Deep understanding of enterprise technology buying cycles and decision processes AI/ML solution knowledge sufficient to engage technical decision makers Sales operations expertise with hands-on experience in modern sales technology stack Strategic thinking balanced with strong operational execution capabilities Existing relationships with enterprise buyers, technology providers, or AI ecosystem players Industry connections that can accelerate market entry and partnership development Professional recognition through speaking, writing, or advisory roles in technology communities Ready to Lead Our Global Expansion? If you're an exceptional sales leader ready to architect the revenue strategy for CreateBytes' transformation into a global AI powerhouse, we want to connect with you. Apply now or reach out directly to discuss this opportunity. Contact: aman.deep@createbytes.com Subject Line: Sales Leader - Global Expansion

Job Overview As an SDE / ML Engineer, you will be responsible for designing, developing, and maintaining scalable pipelines and infrastructure for machine learning models, ensuring high performance, reliability, and efficient deployment. You will work closely with a team of senior engineers to optimize systems, implement robust engineering practices, and contribute to the evolution of our ML and AI infrastructure through scalable software solutions. This position is for immediate joinees only. Key Responsibilities ML Engineering Translating working models into scalable ML pipeline solutions. Maintaining, deploying, and optimizing machine learning pipelines for production environments. Participate in the operational lifecycle of ML systems, including feature engineering support, performance benchmarking, monitoring, and seamless deployment. Tuning pipelines and infrastructure for efficiency, scalability, and low-latency operations. Collaborate with team members to integrate ML models into high-throughput data pipelines and distributed workflows, focusing on code quality, system reliability, and maintainability. Data Engineering Building and maintaining robust, scalable, and high-performance modelling pipelines that handle large-scale data processing. Cleaning, aggregating, & preprocessing data from diverse sources with an emphasis on efficient, parallelizable code. Optimize data retrieval, storage, and processing for speed and resource efficiency in distributed systems. Collaborate with the team on the development and maintenance of large-scale database systems, ensuring fault-tolerance and high availability. Qualifications Bachelor’s degree with 3-5 years of experience or Master’s degree with 2-4 years of experience in Computer Science, Software Engineering, or a related field. Excellent understanding of data structures, algorithms, and software engineering principles, with a proven track record of writing clean, efficient, and maintainable code. Strong command over programming languages, especially Python and Java. Experience with distributed systems and orchestration frameworks such as Kafka for streaming data and Kubernetes for container management. Knowledge of SQL and hands-on experience with large-scale databases and distributed systems (e.g., BigTable, Spark, Hive). Strong problem-solving skills, ability to optimize for performance and scale, and quick learning aptitude. Excellent communication and teamwork skills. About Us Minivet.ai is a small AI products and services firm providing on-prem AI solutions tailored to clients in India and across the world. We take pride in our innovation, and in our ability to empower businesses to address their unique challenges. We collaborate closely with each client, ensuring that every AI solution is a pivotal business advantage to them. This role is a full-time position and is for people living in Bengaluru, India. Application Process Please send your resume as a PDF to jobs@minivet.ai with the subject “SDEJUL25” and the following fields in the message: “Name”, “Highest Qualification”, “Year of completion”, “Phone Number”, “Earliest Joining Date”, “Reason” why you think you are a good fit. If you have less than 2 years of experience, we will be opening up a different position, please DO NOT apply . Applications will be scanned by software and hence applications not meeting the format requirements will not be considered.

Job Description Job Title: Full Stack Python Developer Location: Indore Experience: 3–6 Years Employment Type: Full-Time Job Summary: We are seeking a skilled Full Stack Python Developer with strong backend/API development experience and working knowledge of modern frontend frameworks. The ideal candidate should be proficient in Python (Django, Flask, or FastAPI), database design, and cloud integrations. Exposure to AI/ML is a plus. Responsibilities: Develop and maintain scalable REST/GraphQL APIs using Python frameworks. Design and manage databases (PostgreSQL, MySQL, MongoDB). Write clean, testable, and well-documented code. Integrate with third-party APIs and cloud platforms (AWS/GCP/Azure). Collaborate with frontend teams (React/Angular/Vue). Participate in code reviews, sprint planning, and architecture discussions. Optimize app performance, security, and scalability. Skills: Strong Python development experience (3–6 years). Familiar with modern frontend and database technologies. Hands-on with Git, Docker, CI/CD, and cloud services. Good problem-solving and communication skills. AI/ML exposure is a plus. About Company :- 5 Exceptions Software Solutions Private Limited is a premier offshore software development company led by a team with over 15 years of industry experience. Specializing in a wide array of technology domains, we excel in delivering high-quality products, websites, and mobile applications tailored to client needs. Our expertise spans various technology areas, enabling us to provide innovative solutions across multiple platforms. At 5 Exceptions, we foster a work environment that encourages both technical and professional growth, supporting our team members in achieving their full potential. For more info visit our website - https://5exceptions.com/ Interested Candidates can share their CV through email ID - career@5exceptions.com You can share Via whatsapp - 9329796665 / 7987118432/7780322967 Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹800,000.00 per year Benefits: Health insurance Internet reimbursement Provident Fund Schedule: Monday to Friday Ability to commute/relocate: New Palasia, Indore, Madhya Pradesh: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Education: Bachelor's (Preferred) Experience: Python: 3 years (Preferred) Language: English (Preferred) Work Location: In person

About the Role : We are seeking a Senior Front-End Developer who thrives in building systems from scratch. This role involves designing and developing highly responsive, scalable, and intuitive web applications. You'll work closely with cross-functional teams to bring cutting-edge AI products to life while ensuring a seamless user experience. You should be passionate about modern front-end technologies, comfortable working with CI/CD pipelines, and have hands-on experience deploying applications on AWS. Key Responsibilities Build from the ground up: Architect, develop, and deploy responsive and feature-rich web applications using React.js, Next.js, or other modern frameworks. Collaborate deeply with UI/UX designers, back-end engineers, and product teams to translate designs and user stories into functional web interfaces. Implement CI/CD pipelines to ensure rapid and reliable delivery of code into production. Deploy and manage front-end applications on AWS, ensuring high availability and scalability. Develop and maintain SDKs and reusable UI components to accelerate product development. Optimize applications for maximum speed and scalability across browsers and devices. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Write clean, well-documented, and maintainable code. Stay current with emerging technologies and propose ways to improve architecture and workflows. Required Skills & Qualifications 3-5 years of front-end development experience in product-driven environments. Strong proficiency in HTML, CSS, JavaScript, and TypeScript. Expertise in React.js (Next.js is a plus) and experience with Redux, Flux, or similar state management libraries. Familiarity with other frameworks like Angular, Vue.js, or Node.js is an advantage. Solid understanding of RESTful APIs, GraphQL, and integrating APIs with front-end applications. Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI). Hands-on experience with AWS services (e.g., S3, CloudFront, Lambda, Amplify) for deploying and managing applications. Familiarity with Docker and containerized deployments is a plus. Strong problem-solving skills, attention to detail, and a user-focused mindset. Excellent communication and collaboration skills in a startup environment. What We’re Looking For Someone who loves building things from scratch and thrives in a startup setting. A developer who cares deeply about user experience and understands how back-end choices impact the front-end. A team player who values clean architecture, scalable systems, and developer productivity. Preferred Skills (Good to Have) Experience with SCSS/SASS, styled-components, and design tools like Figma. Familiarity with micro-frontends architecture. Exposure to AI/ML product ecosystems or interest in learning them.

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Job Description Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About The Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. Ping Identity is seeking a Senior Software Engineer to play a key role in migrating our legacy SaaS platform (V1) to our next-generation identity security platform (V2). This is a high-impact opportunity to shape the future of our product and significantly enhance the customer experience. As a Software Engineer, you will help define the migration strategy and contribute directly to the hands-on implementation. Your work will ensure customers experience a seamless transition while unlocking advanced features such as orchestration, identity verification, risk protection, digital credentials, and AI-powered security. What You’ll Do Part of technical migration of core components from the legacy platform (V1) to the next-generation Ping Identity platform (V2). Design and implement a proxy service for SAML/OIDC endpoints, ensuring smooth interoperability between V1 and V2 systems. Develop, own, and enhance migration tools, automation, and scalable processes to support efficient and secure transitions. Collaborate cross-functionally with Product Management, Engineering, and Support to shape and deliver a world-class migration experience. Contribute to platform enhancements in identity orchestration, risk-based access, and intelligent access control. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5–8 years of experience in full-stack Java development, including backend (SpringBoot) and UI components. Familiarity with legacy UI frameworks such as Apache Wicket is a plus. Experience with Node.js, particularly for building backend services or tools in a microservices or proxy-based architectures, is a plus Strong understanding of IAM protocols like OIDC, OAuth2, and SAML. Proven experience building and scaling multi-tenant SaaS applications using microservices architecture Proficiency in CI/CD pipelines, DevOps practices, and containerized deployments (e.g., Docker, Kubernetes). Hands-on experience developing migration tooling in complex enterprise environments. Exposure to cloud infrastructure such as AWS, GCP, or Azure. Nice to Have Knowledge or experience applying AI/ML in identity security or access management. Excellent problem-solving and debugging skills. Ability to work effectively across teams in Agile environments. Life at Ping: We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day. Here are just a few of the things that make Ping special: A company culture that empowers you to do your best work. Employee Resource Groups that create a sense of belonging for everyone. Regular company and team bonding events. Competitive benefits and perks. Global volunteering and community initiatives Our Benefits: Generous PTO & Holiday Schedule Parental Leave Progressive Healthcare Options Retirement Programs Opportunity for Education Reimbursement Commuter Offset (Specific locations) Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self. We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. Ping Identity is seeking a Software Engineer to play a key role in migrating our legacy SaaS platform (V1) to our next-generation identity security platform (V2). This is a high-impact opportunity to shape the future of our product and significantly enhance the customer experience. As a Software Engineer, you will help define the migration strategy and contribute directly to the hands-on implementation. Your work will ensure customers experience a seamless transition while unlocking advanced features such as orchestration, identity verification, risk protection, digital credentials, and AI-powered security. What You’ll Do Part of technical migration of core components from the legacy platform (V1) to the next-generation Ping Identity platform (V2). Design and implement a proxy service for SAML/OIDC endpoints, ensuring smooth interoperability between V1 and V2 systems. Develop, own, and enhance migration tools, automation, and scalable processes to support efficient and secure transitions. Collaborate cross-functionally with Product Management, Engineering, and Support to shape and deliver a world-class migration experience. Contribute to platform enhancements in identity orchestration, risk-based access, and intelligent access control. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 4–5 years of experience in full-stack Java development, including backend (SpringBoot) and UI components. Familiarity with legacy UI frameworks such as Apache Wicket is a plus. Experience with Node.js, particularly for building backend services or tools in a microservices or proxy-based architectures, is a plus Strong understanding of IAM protocols like OIDC, OAuth2, and SAML. Proven experience building and scaling multi-tenant SaaS applications using microservices architecture Proficiency in CI/CD pipelines, DevOps practices, and containerized deployments (e.g., Docker, Kubernetes). Hands-on experience developing migration tooling in complex enterprise environments. Exposure to cloud infrastructure such as AWS, GCP, or Azure. Nice to Have Knowledge or experience applying AI/ML in identity security or access management. Excellent problem-solving and debugging skills. Ability to work effectively across teams in Agile environments. Life at Ping: We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day. Here are just a few of the things that make Ping special: A company culture that empowers you to do your best work. Employee Resource Groups that create a sense of belonging for everyone. Regular company and team bonding events. Competitive benefits and perks. Global volunteering and community initiatives Our Benefits: Generous PTO & Holiday Schedule Parental Leave Progressive Healthcare Options Retirement Programs Opportunity for Education Reimbursement Commuter Offset (Specific locations) Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self. We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.