9416 Machine Learning Jobs - Page 27

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done. Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Position Summary We are looking for a skilled Software Engineer with 3-5 years of experience in Java development, SaaS architectures, and cybersecurity solutions. You will play a key role in designing and implementing scalable security applications while following best practices in secure coding and cloud-native development. Key Responsibilities Develop and maintain scalable, secure software solutions using Java. Build and optimize SaaS-based cybersecurity applications, ensuring high performance and reliability. Collaborate with cross-functional teams including Product Management, Security, and DevOps to deliver high-quality security solutions. Design and implement security analytics, automation workflows and ITSM integrations. Basic Qualifications A bachelor’s or master’s degree in computer science, electronics engineering or a related field 3-5 years of experience in software development using Java. Experience with cloud platforms (AWS, GCP, or Azure) and microservices architectures. Proficiency in containerization and orchestration tools (Docker, Kubernetes). Knowledge of DevSecOps principles, CI/CD, and infrastructure-as-code tools (Terraform, Ansible). Preferred Qualifications Exposure to cybersecurity solutions, including SIEM (Splunk, ELK, QRadar) and SOAR (XSOAR, Swimlane). Familiarity with machine learning or AI-driven security analytics. Strong problem-solving skills and ability to work in an agile, fast-paced environment.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : Accenture Delivery Methods (ADM) Estimators, Accenture Delivery Methods (ADM)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented efficiently and effectively. Your typical day will involve collaborating with the team to perform tasks, making team decisions, and engaging with multiple teams to contribute to key decisions. Additionally, you will provide solutions to problems for your immediate team and across multiple teams, showcasing your problem-solving skills and expertise in application development. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Ensure efficient and effective development and implementation of applications- Design and build applications to meet business process and application requirements- Contribute to the decision-making process for application development Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM)- Good To Have Skills: Experience with Accenture Delivery Methods (ADM) Estimators- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Plant Maintenance (PM)- This position is based at our Pune office- A 15 years full time education is required Qualification 15 years full time education

Job Overview Are you a knowledgeable ML/AI professional or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Machine Learning and AI domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills: Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. You will work on cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Apply GenAI models as part of the solution.- Implement deep learning and neural networks.- Create chatbots and work on image processing.- Collaborate with the team to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Machine Learning.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

ThoughtPad InfoTech is looking for Intern to join our dynamic team and embark on a rewarding career journey Support assigned departments by assisting with daily tasks, data entry, research, documentation, and project coordination Participate in meetings and training sessions to gain industry knowledge and hands-on experience Collaborate with team members on various assignments, contributing fresh ideas and enthusiasm Maintain professionalism, meet deadlines, and adhere to company policies while developing practical skills relevant to the field

Admini Boosting Productivity is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Role: Senior Software Developer Python Location: Bengaluru, India About the Role: We are looking for a talented Senior Software Developer with strong Python skills. You will join our AI Solutions team. We focus on creating advanced AI systems in the Electri cation eld. In this role, you will work with AI/ML engineers, data scientists, and cloud architects. Together, you will develop robust, scalable software solutions using the latest AI technologies. This is a great chance to work where AI innovation meets high-performance backend systems and cloud-native development. Responsibilities: 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. 3. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. 4. Contribute to software architecture and design discussions to ensure scalable and e icient solutions. 5. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. 6. Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms. 7. Optimize code and system performance, ensuring reliability and robustness at scale. 8. Participate in code reviews, promote clean code practices, and mentor junior developers when needed. Required Quali cations: Bachelor s or Master s degree in Computer Science, IT, or a related eld. 5+ years of hands-on experience in software development, with a focus on Python. Deep understanding of OOP concepts, software architecture, and design patterns. Experience with backend web frameworks, preferably FastAPI. Familiarity with integrating ML/DL models into software solutions. Practical experience with CI/CD, containerization (Docker), and version control systems (Git). Exposure to MLOps practices and tools for model deployment and monitoring. Strong collaboration and communication skills in cross-functional engineering teams. Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service). Preferred Quali cations: Experience in Rust is a strong plus. Experience working on high-performance, scalable backend systems. Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or OpenTelemetry. Understanding of data engineering concepts, ETL pipelines, and processing large datasets. Background or interest in the Power and Energy domain is a plus

Tech Permanent Job Description Be part of something bigger. Decode the future. At Electrolux, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living. Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together. All about the role: We are looking for a Engineer to help driving our global MarTech strategy forward, with a particular focus on data engineering and data science to design and scale our customer data infrastructure. You will work closely with cross-functional teams - from engineering and product to data and CX teams - ensuring scalable, future-ready solutions that enhance both consumer and business outcomes. Great innovation happens when complexity is tamed, and possibilities are unleashed. That s what we firmly believe! Join our team at Electrolux, where we lead Digital Transformation efforts. We specialize in developing centralized solutions to enhance inter-system communications, integrate third-party platforms, and establish ourselves as the Master Data within Electrolux. Our focus is on delivering high-performance and scalable solutions that consistently achieve top-quality results on a global scale. Currently operating in Europe and North America, we are expanding our footprint to all regions worldwide. About the CDI Experience Organization: The Consumer Direct Interaction Experience Organization is a Digital Product Organization responsible for delivering tech solutions to our end-users and consumers across both pre-purchase and post-purchase journeys. We are organized in 15+ digital product areas, providing solutions ranging from Contact Center, E-commerce, Marketing, and Identity to AI. You will play a key role in ensuring the right sizing, right skillset, and core competency across these product areas. What you ll do: Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first party and behavioural data from digital and offline touchpoints. Ability to productionize probabilistic and/or machine learning models for audience segmentation, propensity scoring, content recommendations, and predictive analytics. Collaborate with Data Engineering and Cloud teams to build out event-driven and batch data flows using technologies such as Azure Data Factory, Databricks, Delta Lake, Azure Synapse, and Kafka. Lead the integration of MarTech data with enterprise data warehouses and data lakes, ensuring consistency, accessibility, and compliance. Translate business needs into scalable data models and transformation logic that empower marketing, analytics, and CX stakeholders. Establish data governance and quality frameworks, including metadata management, lineage tracking, and privacy compliance (GDPR, CCPA). Serve as a subject matter expert in both MarTech data architecture and advanced analytics capabilities. Who are you: Bachelor s or Master s degree in Computer Science, Data Engineering, or related field. 8+ years of experience in data engineering, analytics platforms, and data science applications roles, ideally within a MarTech, CX, or Digital environment. Hands-on experience with customer data platforms (CDPs) and integrating marketing data into enterprise ecosystems. Solid programming skills in Python, SQL, and experience working with Spark, ML pipelines, and ETL orchestration frameworks. Experience integrating marketing technology platforms (e.g., Iterable, Qualtrics, Dynamic Yield) into analytical workflows and consumer intelligence layers. Strong understanding of data privacy, consent management, and ethical AI practices. Excellent communication skills with the ability to influence and collaborate effectively across diverse teams and stakeholders. Experience in Agile development environments and working in distributed/global teams. Where youll be This is a full-time position, based in Bangalore, India. Benefits highlights Flexible work hours/hybrid work environment Discounts on our award-winning Electrolux products and services Family-friendly benefits Extensive learning opportunities and flexible career path.

Tech Permanent Job Description Be part of something bigger. Decode the future. At Electrolux, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living. Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together. Join us in our exciting quest to build the future home. All about the role: We are seeking a passionate and skilled AI Developer to join our Contact Center initiatives within the CDI Service Platforms team. This role will focus on designing, building, and deploying AI-powered solutions that enhance customer interaction, automate support workflows, and improve operational efficiency. You will work in a cross-functional team together with product owners, data scientists, and software engineers to integrate conversational AI, natural language processing (NLP), and machine learning into our digital post-purchase landscape. This is a high-impact role with opportunities to shape the technical direction of our AI strategy. In this role, you will be reporting to the Engineering Lead for Contact Center and AI. You will work on a daily basis with colleagues remotely that are based in other countries. About the CDI Experience Organization: The Consumer Direct Interaction Experience Organization is a Digital Product Organization responsible for delivering tech solutions to our end-users and consumers across both pre-purchase and post-purchase journeys. We are organized in 15+ digital product areas, providing solutions ranging from Contact Center, E-commerce, Marketing, and Identity to AI. You will play a key role in ensuring the right sizing, right skillset, and core competency across these product areas. What you ll do: As AI developer at Electrolux, your main tasks will include: Design and develop AI-driven solutions for Contact Center platforms, including chatbots, voicebots, and intelligent routing engines. Contribute to AI architecture decisions and align solutions with enterprise standards and cloud infrastructure. To be constantly improving the functionality of our existing contact center solution. Deliver prototypes, proofs of concept (PoCs), and production-grade implementations that scale. Monitor and improve AI models through testing, tuning, and feedback loops. To collaborate cross-functionally in your own team and across related teams within the organization. To keep yourself updated with the latest developments within contact center AI and the fast-paced environment of generative AI You should be eager to take on new challenges when exploring these new technologies and to think outside of the box Who are you: University degree in computer science, NLP, data science, statistics or related field 3+ years of industry experience with dialog technology, preferably in Google Dialogflow, but similar technologies are also accepted. Profound theoretical understanding of machine learning algorithms, including but not limited to the newest versions of generative AI models. Hands-on experience with this technology is a major plus. Fluent in at least one of the following scripting languages: Python, Node.js, Javascript, Groovy, Perl. Experience with REST APIs, microservices, and cloud-native application design. Hand-on experience with DataScience is a big plus. Previous experience building or integrating AI into Contact Center systems (e.g., Genesys). Very good analytical and conceptual skills paired with a pronounced ability to structure and simplify complex relationships Excellent communication skills are a must due to the cross-functional nature of the roll. Thriving in a multi-lingual, multi-cultural environment Where youll be: This is a full-time position, based in Bangalore , India Benefits Highlights: Flexible work hours and a hybrid work environment Discounts on our award-winning Electrolux products and services Family-friendly benefits Extensive learning opportunities and a flexible career path

OPENTEXT - THE INFORMATION COMPANY OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do powering innovation, transforming work, and empowering digital knowledge workers. Were hiring talent that AI cant replace to help us shape the future of information management. Join us. Your Impact At OpenText, we are looking at motivated highly passionate Full-Stack developer for the AI development team, which is part of ITOMs OpsBridge team. The candidate must have the experience, talent, skill set and confidence to work with world-class development team at the OpenText office in Bengaluru, India. What the roles offer Collaborating with teams with diverse expertise to work on Java, Python with machine learning, and AI projects. Develop, design, and deploy large-scale models and AI strategies for AIOps Product line. Work closely with AI technology and engineering teams to take models from development to production and make them operational. Own the critical modules of core products and enhance the product to meet customer and architecture expectations in ongoing basis. Review and evaluate designs to ensure long term adaptability and sustainability. Champion processes that ensure very high-quality product releases Ensure timely release of high-quality product releases. Own and drive high quality resolution of product technical issues. Encourage and contribute to innovation aligned with the business Coach mentor junior engineers and new members into the team What you need to succeed Bachelors or Masters Engineering degree in Computer Science, Information Systems, or equivalent. 8+ years of experience in software development Expertise in machine learning and artificial intelligence domain. Mastering the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement As a strategic leader, youll excel in making critical technical decisions, shaping roadmaps and visions that drive the success of transformative machine learning projects in AI Ops & related areas. Demonstrated experience in programming with Python and utilizing machine learning frameworks, including but not limited to PyTorch, TensorFlow, and Hugging Face libraries. Proficient in Java and/or Python, their skills transform abstract machine learning concepts into robust, efficient, and scalable solutions. Proficient in system architecture concepts & should have experience in building enterprise grade products. Proven expertise in developing and deploying machine learning solutions on public cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). A solid understanding and practical knowledge of working with APIs (Application Programming Interfaces). Strong grasp of data structures, algorithms, and programming methodologies. Proficiency in version control using tools like Git and experience with Continuous Integration/Continuous Deployment (CI/CD) tools. Ability to automate tasks and proficiently collect, integrate, and analyze data from diverse sources. High levels of curiosity, creativity, and enthusiasm for tackling open-ended problems, demonstrating a strong problem-solving mindset. Experience in working large enterprise product setup includes Agile/Safe Agile process. Preferred Qualifications Previous hands-on experience in training and fine-tuning Large Language Models (LLMs) or proficiency in working with various inference engines. Proven track record in deploying, optimizing, and effectively managing AI/ML models in production environments. OpenTexts efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at hr@opentext.com . Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenTexts vibrant workplace.

Develop Rest API as per requirements document Work with a team of developers to ensure smooth delivery Handle database design and queries for applications Qualifications: Masters or bachelors degree in Computer Science or IT Engineering or equivalent. Excellent written and oral communication skills Experience : 0 - 2 years

Company: Marsh Description: Marsh McLennan Global Services (MMGS) India is seeking candidates for the following position based in the Mumbai office: Job Profile: Senior Engineer - Data Science MMC Business Unit: Marsh MMGS Function: Knowledge Services Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. Marsh Advisory is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help. MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. The Knowledge Services function under MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design. This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. Position Details This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. Responsibilities Develops solutions based on OpenAI API s and other proprietary/open source LLM s Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Designs, develops and contributes to Data Pipelines involving MongoDB, S3 buckets, data lakes etc. Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings We will count on you to Explore and understand business nuances and help drive business strategies Mine and analyze data to drive optimization and implement business strategies Build AI and machine learning algorithms based on the business ask Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development Conduct research on the client s risk areas and prepare a point of view for consulting and apply AI expertise to solve client problems Qualifications Master s Degree in Engineering, Computer Science, Data Science, Actuarial Science or related field 4+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including familiarity with AI and machine learning techniques Ability to influence others within and outside of the job function regarding approach and procedures Ability to develop strong internal/external client oriented solutions Superior detail orientation, excellent communication and interpersonal skills Knowledge of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch, Streamlit, Taipy etc. R or VBA may be helpful but not required What makes you stand out?s Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

The Basics: Role: Artificial Intelligence Strategist Location: Mumbai Introduction $11 trillion of money flows ev ery year between companies in India. It typically takes avg. 70 days for a business to get paid, an d it s increasing 5% every yea r. Formal funding options are limited, and cover We are building India s larges t B2B Payments Platform that t ransforms how businesses pay a nd get paid. Our award-winning pl atform already processes INR 2 0,000+ Crores of invoices ever y month, across 300,000 MSMEs and 1200+ corporates; with 30+ lenders plugged in for credit. Globally, companies in this sp ace, like Coupa, Bill.com, Mel io, C2FO, Tipalti, have witnes sed tremendous success over the past decade doing $ Billion+ disbursements weekly and cumulatively valued over $50 Billion. You will join our core team th at currently consists of ex- BCG and ISB / IIM alumni with a team of industry veterans serving on t he advisory board. We are back ed by Elevation Capital (one o f the most successful VCs in India) and General Catalyst ($15 Bill ion+ global fund, and early in vestors in Stripe, Airbnb etc.). We sh are our lineage with HCS, a 25 year old investment bank and a registered NBFC. We are a team of passionate problem solvers and we re building a technolo gy company with a strong product innovation mindset. We are looking for someone who loves a challenge, is ambitio us, super tenacious and persis tent. S/he is a self-starter, thrive s in a dynamic, small start-up environment, has a knack for understanding customer needs, and is result-oriented. If you check these boxes - we want t o talk to you! Key Responsibilities : 1.Strategic Planning and Vision: Develop and implement a comprehensive AI strategy aligned with the companys business objectives. Stay abreast of emerging AI trends and technologies, evaluating their potential impact on the business. 2.AI Integration and Deployment: Lead cross-functional teams to integrate AI solutions into business operations. Oversee the development and deployment of AI-driven projects, ensuring alignment with business goals. 3.Collaboration and Leadership: Collaborate with various departments (e.g., IT, marketing, sales, customer service) to identify AI application opportunities. 4.Data Management and Analytics: Oversee the management of data resources and analytics, ensuring the quality and integrity of data used in AI models. Leverage data insights to inform strategic decisions and AI project implementations. 5.Stakeholder Engagement: Communicate AI strategies and results to stakeholders at all levels, including executives, non-technical team members, and external partners. Advocate for the ethical use of AI and ensure compliance with relevant laws and regulations. Qualifications : Bachelors or Masters degree Knowledge in AI, machine learning, and data analytics. Proven track record of leading AI projects and teams is a plus but not mandatory. Strong understanding of business processes and how AI can enhance them. Excellent communication and leadership skills, with the ability to articulate complex AI concepts to both technical and non-technical stakeholders. Ability to think strategically and translate insights into action.

Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand why metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics. We are growing our data science team and looking for a passionate individual who can bridge the gap between business problems and data solutions. Key Responsibilities Own the end-to-end problem-solving lifecycle: from understanding the business challenge to delivering actionable insights. Collaborate with clients and internal stakeholders to gather and define business requirements. Analyze large and complex datasets using SQL and Python to uncover trends and patterns. Build interactive dashboards and visualizations using Tellius to communicate insights effectively. Translate ambiguous business problems into well-structured data science tasks. Partner closely with cross-functional teams including engineering, product, and business. Present results and recommendations clearly and confidently to both technical and non-technical audiences. Stay updated with the latest trends in data science, analytics, and visualization. Must-Have Skills 3+ years of experience in Data Science or a related field. Strong proficiency in SQL for data querying and transformation. Hands-on experience with Python (pandas, numpy, matplotlib, etc) for data analysis and scripting. Hands-on experience with machine learning ( logistic regression, decision tree, random forest, etc). Experience creating interactive dashboards in analytics tools (Power BI, Looker, Tableau) . Proven ability to act as a business analyst and translate business problems into data solutions. Excellent communication and stakeholder management skills. Good to Have Exposure to machine learning (ML) and AI techniques . Familiarity with cloud platforms (AWS, Azure, or GCP). Experience working in a product-based or analytics SaaS company. Who You Are You re curious and analytical by nature. You enjoy solving real business problems with data. You re not just technical you re also a storyteller with data. You thrive in a fast-paced, collaborative environment. Why Join Us? Be part of a rapidly growing team building next-gen analytics products. Work on impactful projects with real business outcomes. Collaborate with a world-class team of engineers, data scientists, and business leaders. Flexible work culture and opportunities for learning and growth.

Job Summary:We are seeking an experienced Enterprise Architect to design and govern the enterprise-wide AI platform architecture by bringing Architecture best principles. This role will be responsible for defining the technical vision, architectural standards, and integration patterns for AI/ML, Generative AI and Agentic AI capabilities across the organization. The ideal candidate will bridge business strategy with technical implementation, ensuring scalable, secure, and interoperable AI platform solutions that align with enterprise objectives and drive digital transformation. The candidate will work closely with clients to understand their needs and guide them through their AI transformation journey, from strategy to implementation. This role demands a deep understanding of industrial systems, intelligent automation, data ecosystems, and AI-driven innovation to build resilient, future-ready digital architectures. Key Responsibilities: AI Platform Architecture Design: Define and maintain the enterprise AI & Generative AI platform architecture, including reference architectures, design patterns, and technical standards for AI/ML workloads, data pipelines, and model lifecycle management. Technology Strategy & Roadmap: Develop comprehensive technology roadmaps for AI platform evolution, evaluating emerging technologies and their alignment with business strategy and enterprise architecture principles. Integration Architecture: Design integration patterns and APIs for seamless connectivity between AI platforms and existing enterprise systems, ensuring data consistency, security, and performance optimization. Governance & Standards: Establish architectural governance frameworks, design principles, and best practices for AI platform development, including data governance, model governance, DevOps and MLOps standards. Cross-functional Collaboration: Work closely with solution architects, data engineers, ML engineers, security teams, and business stakeholders to ensure architectural alignment and successful implementation. Platform Scalability & Performance: Define scalability patterns, performance benchmarks, and infrastructure requirements for enterprise AI platforms, including cloud-native architectures and hybrid deployment models. Risk Assessment & Compliance: Conduct architectural risk assessments, ensure compliance with enterprise security policies, data privacy regulations, and industry standards for AI systems. Technical Leadership: Provide architectural guidance and mentorship to development teams, conduct architecture reviews, and drive adoption of architectural standards across AI initiatives. Innovation & Research: Stay current with AI platform technologies, architectural patterns, and industry trends to continuously enhance the enterprise AI architecture framework. Preferred Qualifications: Bachelor s or master s degree in computer science, Information Systems, Software Engineering, or a related technical field. Overall 15+ years of experience with at least 10 years of experience in enterprise architecture and 5+ years specifically in AI and Generative AI platform architecture, with proven success in architecting, designing and implementing enterprise grade AI platforms. Certified TOGAF/Zachman with proven experience in applying the same Deep technical knowledge of AI/ML technologies, including machine learning frameworks, deep learning platforms, computer vision, Generative AI, Agentic Design patterns, ACP, MCP and LLMOps/ MLOps tools. Strong experience in Architecting multiple production grade AI deployments on cloud and on-premises Proven experience in multiple enterprise grade Data platform implementation. Strong experience in Data and AI governance area and responsible AI practices. Experience in Software development models e.g. V-model Excellent stakeholder management and communication skills to effectively engage with technical teams, business leaders, and executive stakeholders. Expe Qualifications BE,BTech,MS,TEch or PHD

Machine learning engineer (4-6 years) Position ID Position Location Duration View Job Description 504 Machine learning engineer Visakhapatnam/Remote Fulltime/Freelance Roles and Responsibilities: Consulting with managers to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Design dynamic ML models and systems that can train, retrain, and untrain themselves whenever required. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyse huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Keeping abreast of developments in machine learning. Eligibility Criteria: Bachelors or Masters degree in Computer Science, Engineering, or a related field, A Ph.D. is a plus. Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of machine learning projects. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models at scale.

We are Reckitt Home to the worlds best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Information Technology & Digital In IT&D, youll be a force for good, whether youre championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products. Working globally across functions, youll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if youre willing to bring your ideas to the table, youll get the support and investment to make them happen. Your potential will never be wasted. Youll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, youll keep learning exciting new approaches. About the role The IT&D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth. We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market. Data-led insights and decision-making is a key pillar that enables this objective. We are on the lookout for a rockstar data scientist & analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights. Your responsibilities This role will be responsible for the below key job specifications: 1. Lead Reckitt South Asia s data stack evolution and strategy to enhance our reporting and analytics capabilities. 2. Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian. 3. Collaborate with cross-functional teams to understand business needs & identifying opportunities and integrate analytics-driven solutions into their business processes. 4. Leverage a profound understanding of mathematical & statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value. 5. Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance. 6. As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices. 7. As member of the South Asia IT&D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function. The experience were looking for 5-9years of experience post-qualification with significant experience in consumer goods/ durables/ retail/ food & beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing. Comprehensive understanding of regression and classification algorithms with mathematical expertise. Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn). Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential. Great problem-solving skills and depth of business understanding is a key consideration. Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential. The skills for success Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, Customer Segmentation. What we offer

Tech Lead - Machine Learning, Data Scientist Senior Data Scientist Generative AI Senior Data Scientist Generative AI Location: Mumbai (Work from Office, with flexibility on need basis) Employment Type: Full-Time Experience: 4 5 Years Reports To: Director Machine Learning and Gen AI About the Role: We are looking for a hands-on and solution-oriented Senior Data Scientist Generative AI to join our growing AI practice. This role is ideal for someone who thrives in designing and deploying Gen AI solutions on AWS, enjoys working with customers directly, and can lead end-to-end implementations. You will play a key role in architecting AI solutions, driving project delivery, and guiding junior team members. Key Responsibilities: - Design and implement end-to-end Generative AI solutions for customers on AWS. - Work closely with customers to understand business challenges and translate them into Gen AI use-cases. - Own technical delivery, including data preparation, model integration, prompt engineering, deployment, and performance monitoring. - Lead project execution ensure timelines, manage stakeholder communications, and collaborate across internal teams. - Provide technical guidance and mentorship to junior data scientists and engineers. - Develop reusable components and reference architectures to accelerate delivery. - Stay updated with latest developments in Gen AI, particularly AWS offerings like Bedrock, SageMaker, LangChain integrations, etc. Required Skills & Experience: - 4 5 years of hands-on experience in Data Science/AI/ML, with at least 1 2 years in Generative AI projects. - Proficient in building solutions using AWS AI/ML services (e.g., SageMaker, Amazon Bedrock, Lambda, API Gateway, S3, etc.). - Experience with LLMs, prompt engineering, RAG pipelines, and deployment best practices. - Solid programming experience in Python, with exposure to libraries such as Hugging Face, LangChain, etc. - Strong problem-solving skills and the ability to work independently in customer-facing roles. - Experience in collaborating with Systems Integrators (SIs) or working with startups in India is a major plus. Soft Skills: - Strong verbal and written communication for effective customer engagement. - Ability to lead discussions, manage project milestones, and coordinate across stakeholders. - Team-oriented with a proactive attitude and strong ownership mindset. What We Offer: - Opportunity to work on cutting-edge Generative AI projects across industries. - Collaborative, startup-like work environment with flexibility and ownership. - Exposure to full-stack AI/ML project lifecycle and client-facing roles. - Competitive compensation and learning opportunities in the AWS AI ecosystem. About Oneture Technologies Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and Startups-like agility with Enterprises-like maturity philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.

Our team is the strength and the driving force behind our success story, they have overcome hurdles and have strived together as a unit, keeping the client s success as the primary goal. For us, Transformation is also about transforming the lives of our dedicated team. We continue to make employee experience the core, focus on an innovation and research-driven culture, continue to encourage our team to think outside the box, with complete freedom to constantly experiment, through trial and error if needed, and re-invent and nurture new skills. We would like to take this celebration of strength and dedication of work not only as a business principle, but as a life changing practice to transform and benefit our incredible team professionally, financially, and more importantly make an enriching experience in their personal lives. We look forward to making our work environment more vibrant and scale even greater heights. Why Join Oneture? We re constantly on a lookout for unsolved problems, ideas to contribute to - which is where you come in - we re always looking diverse range of people, talents and powerful minds like yours to help our clients improve their performance. We are fast-growing, flexible and agile. We adapt to new opportunities and are more open to new ideas making it exciting to work for us. You ll get the opportunity to work on a more varied selection of projects, expanding your skillset and giving you a much broader range of experience. Youll be a part of a growing team; you will work in small, multi-disciplinary, fast-moving teams that co-builds products, services, and experiences. You will play a critical role in innovating and building solutions from scratch, iterating quickly and getting them client/market-ready. Executives and company owners, are much more accessible, you can learn from them, express your ideas, build relationships, and get noticed. You ll find there is more camaraderie with everyone feeling a greater sense of ownership of what the business does, pleasant environment to work in, but it also gets you closer to the success of the business as you play an integral part, something which is very rewarding. The performance appraisal process is much more flexible and is more directly linked to your performance and career progression. This often means higher percentage increases for high performers. We follow hybrid work, enables you to work closer to where you live or closer to where you want to live. Our culture makes daily challenges enjoyable and rewarding and is one of the reasons why Oneture is a great place to work. Our Core Values The qualities that define us, how we behave and make decisions builds our culture and guides us to the right things. Clients Success Solve, create, help grow. Make client success your success Best People Attract and nurture talent Respect for people Treat people well Collaborate Create win win situations with People, Process & Technology Integrity Trust, Ethical, Honesty, Open Ownership mentality Taking accountability for you and everyone around you Passion to be the best Pursue for excellence in everything you do Innovation & Technology Leading Edge, Purposeful, Drive, Challenge Common Questions We look for people who want to make an impact in both their careers and the world around them by solving real life problems and turning them into business realities. You should have entrepreneurial drive, inquisitiveness of how things work, problem solving skills, passion to create new things. Life @ Oneture? Oneture creates an environment of opportunities and self-development for every employee. We thrive on business critical challenges and love to roll up our sleeves and solve them. Simply put, you will constantly be busy building innovative solutions. We seriously believe that work is more fun and productive in an open environment. We dont just work together, we trust each other. Meet Our People I joined Oneture as a python developer. Its been more than a year and so far my experience working with Oneture is really amazing. Oneture has one of the best corporate cultures and friendly colleagues. Everyday I get to learn new things. Exposure and the amount of opportunities I get to work on different technologies makes working here really exciting and worth it. Suraj Jare Full Stack Developer Current Openings Have we got you excited? Take a look at our current openings Job Role

Data Science Analyst in Bangalore, , India ISP India - Bangalore Bangalore, India Date Added: Jun 27, 2025 Description ISP Data Science - Analyst Role Profile Purpose of Role We are seeking a highly skilled and data-driven Data Science - Analyst to join our team. The ideal candidate will leverage advanced data analytics and AI techniques along with business heuristics to analyse student enrolment and retention data, identify trends, and provide actionable insights to support ISP and its schools enrolment goals. This role is critical for improving student experiences, optimising resource allocation, and enhancing overall enrolment and retention performance. The successful candidate will bring strong expertise in Python or equivalent-based statistical modelling (including propensity modelling), experience with Azure Databricks for scalable data workflows, and advanced skills in Power BI to build high-impact visualisations and dashboards. The role requires both technical depth and the ability to translate complex insights into strategic recommendations. Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding and Health & Safety issues and acting and following up on all concerns appropriately. Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others. Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community. We make financial choices carefully based on the needs of the children, students and our schools. Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement. ISP Data Science - Analyst Key Responsibilities Collect, clean, and preprocess, enrolment, retention, and customer satisfaction data from multiple sources. Analyse data to uncover trends, patterns, and factors influencing enrolment, retention, and customer satisfaction. AI and Machine Learning Implementation: Expertise in developing and deploying propensity models to support customer acquisition and retention activities and strategy. Experience with Azure, Databricks (and other equivalent platforms) for scalable data engineering and machine learning workflows. Develop and implement AI models, such as predictive analytics and propensity models to forecast enrolment patterns and retention risks. Use machine learning algorithms to identify high-risk student populations and recommend intervention strategies. Support lead scoring model development on HubSpot CRM. Collaborate with key colleagues to understand and define the most impactful use cases for AI and Machine Learning. Analyse cost/benefit of deploying systems and provide recommendations. Reporting and Visualisation: Create relevant dashboards on MS Power BI, reports, and visualisations to communicate key insights to stakeholders. Present findings in a clear and actionable manner to support decision-making. Collaboration: Work closely with key Group and Regional colleagues to understand challenges and opportunities related to enrolment and retention. Partner with IT and data teams to ensure data integrity and accessibility. Continuous Improvement: Monitor the performance of AI models and analytics tools, making necessary adjustments to improve accuracy and relevance. Stay updated with the latest advancements in AI, data analytics, and education trends. Skills, Qualifications and Experience Bachelor s degree in Data Science, Computer Science, Statistics, or a related field (Master s preferred). At least 2 years experience in data analytics, preferably in education or a related field Experience in implementing predictive models - propensity models and interpreting their results. Strong Python skills for statistical modelling, including logistic regression, clustering, and decision trees. Hands-on experience with Azure Databricks is highly preferred. Strong working knowledge of Power BI for building automated and interactive dashboards. Hands-on experience with AI/ML tools and frameworks and currently employed in an AI/ML role. Proficiency in SQL, Python, R, or other data analytics languages. Skills and preferred attributes: Strong understanding of statistical methods and predictive analytics. Proficiency in data visualization tools (e.g., Tableau, Power BI, or similar). Excellent problem-solving, critical thinking, and communication skills. Ability to work collaboratively with diverse teams. Experience in education technology or student success initiatives. Familiarity with CRM or student information systems. Knowledge of ethical considerations in AI and data privacy laws. ISP Commitment to Safeguarding Principles ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years employment history. ISP Commitment to Diversity, Equity, Inclusion, and Belonging ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote What do you need for this opportunity Must have skills required: Start-up Experience, Python, Ml frameworks, Statistical analysis, CNNs, Machine Learning, Computer Vision, AI models Leegality is Looking for: What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 - ML Fundamentals, NLP models Assessment Technical Round 2 - Discussion on the assignment submitted modify it according to the requirements Round 3 - with the Tech Lead - Tech Managerial - Past projects in-depth knowledge of ML

About this role: Wells Fargo is seeking an Analytics Manager. The team manager will lead the DS&O team based out of Bengaluru, as an extension of its functional team in the US, working closely with the US team. The leader will be responsible for fraud monitoring, fraud strategy analysis implementation, automation and reporting across work areas. In this role, you will: Manage and develop a team of individual contributors in planning, coordinating, and executing data research projects or results oriented intelligence that supports line of business or companywide business objectives Identify and recommend strategies for developing and utilizing technical or analytic resources to enable initiatives that predict, improve, support, and measure business success Interpret and develop strategies that maximize profits or asset growth and minimize credit losses, operating losses and other risk exposures Ensure adherence to data management and data governance regulations, and policies and compliance requirements Collaborate and consult with peers, colleagues and multiple level managers to ensure effective consultation and recommendations based on data analysis Provide leadership to the department in the identification and development of innovative research concepts and designs Work with clients to define issues and information needs and translate them into specific data and technical requirements to support business initiatives and projects Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent This position will manage and lead the team responsible for performing various complex activities related to fraud detection & prevention efforts for ACH, Wires or Instant Payment products. Team member must be able to work and align with operations and the broader fraud prevention team. The leader will communicate regularly with team members and management to share trends or analysis, facilitate strategy development, or drive mitigation work streams. An ideal candidate must be able to communicate effectively and efficiently to large audiences, including senior management, and be proactive in the development and partnership related to fraud strategy creation and fraud analysis. Manage the teams day to day responsibilities and delivery activities, collaborate across lines of business including operations on fraud and scam mitigation efforts. Provide analytical support for different types of fraud identification and prevention/detection strategies, methods, and other fraud- related projects Support monitoring of fraud rules/models Support analysis and development of strategies, methods, and other fraud-related projects Establish mechanisms to manage and mitigate fraud risks for all portfolios Assess current state of capabilities and bring on board, manage the right talent to achieve plan goals Stakeholder management with the objective of improving the effectiveness of the team Performance evaluation for team members along with building the career maps for the team Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience 4+ years of experience in one or a combination of the following: data analytics, or predictive modeling with a background in fraud detection. 2+ years of leadership experience in with at least 4+ years of managerial experience Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies. BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics Strong analytical skills with high attention to detail and accuracy Fraud domain understanding experience Ability to create documentation of process flows, business analysis and metadata Demonstrated critical thinking and problem-solving skills. Desired Qualifications: Knowledge and understanding of fraud detection process in banking Strong analytical skills with high attention to detail and accuracy Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously Possesses a strong work ethic and thrives in a collaborative team environment Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills; ability to tell the story to an executive audience. Engage with cross culture team members and stakeholders, and other lines of business with competing priorities. Engage with cross culture team members and stakeholders Understanding of retail branch, phone, and digital customer experience Experience working on BI Tools like QlikView or Tableau Experience with MS Office Suite (PowerPoint, Excel, Word) intermediate at a minimum

Data Scientist Full-time Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Data Scientist : Robust knowledge of machine learning model development , including strong familiarity with classical ML techniques, both supervised and unsupervised approaches. Proficiency in Python , with a solid understanding of key data science packages such as scikit-learn, pandas, NumPy, xgboost, LightGBM, and nltk. Strong knowledge of SQL , ideally with experience in Snowflake’s SQL flavour. Familiarity with agile methodologies . Knowledge of version control and git-based workflows . Experience with Spark , particularly PySpark. Familiarity with cloud-based environments , with a focus on AWS, especially SageMaker. Total Experience Expected: 08-10 years Qualifications Professional Degree with Data Science experience Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.