13766 Ml Jobs - Page 3

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations Challenge Convention Champion Opportunity Lead responsibly Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Team Description Apollo’s Client & Product Solutions (CPS) organization globally supports the end-to-end sales, marketing and servicing of our global investor base. CPS globally supports clients originating from large Institutional asset owner channels (ICPS) as well as individual investors and their intermediaries originating through Global Wealth Management (GWM) channels including banks and financial institutions, independent financial advisors, and family offices. The CPS India analyst and associate teams work collectively across various CPS teams and function in building capabilities that support delivering excellence at scale in our global client management, business services, distribution digital, data & enablement functions. Primary Responsibilities We are seeking analysts/associates looking to build their careers in Data & Analytics and Business Intelligence within the Private Markets and Alternative Investments space. The ideal candidates should have a deep passion, interest, and experience in Distribution Enablement, Business Intelligence & Analytics, Product Ownership, and Data Science, with a goal of progressing into specialized analytics over time. Distribution Data & Intelligence – Analytics & Data Management Functions/Teams Build/maintain data analytics & intelligence capabilities, support management of data & analytics ecosystem Work directly with technology teams as distribution data product owners to design and implement a center of excellence around data analytics, business intelligence and visualization strategies Build data intelligence solutions including data quality tools, data on demand, executive reports/dashboards Explore and apply concepts of AI, ML, and Large Language Models (LLMs) for advanced analytics and automation Initiate and drive process, technology, and data improvement projects across the CPS organization Conduct in-depth data analysis to identify trends, patterns, and insights that drive business decisions Maintain analytics backlog, on-going prioritization and progress reporting against the backlog Distribution Digital & Enablement Product Ownership Functions/Teams Manage and execute core product owner discipline (Product Development Lifecycle) for development and delivery of enablement and intelligence capabilities for the CPS organization Ability to communicate product vision and value to key stakeholders. Develop KPIs and reporting strategy to demonstrate product impact/effectiveness; and develop a multi-year product roadmap and execution plan Program and change management for delivery of new products/releases Translate high level business requirements into detailed requirements (user stories) for development sprints Provide support throughout the product & platform enhancement lifecycle, manage user queries Qualifications & Experience Bachelor’s degree with excellent academic record and 2 years of related work experience Strong organizational skills with the ability to manage multiple projects simultaneously Keen attention to detail, given outputs and work products will ultimately be delivered to current and prospective LPs or firm executives Strong team player with an entrepreneurial predisposition and excellent interpersonal skills Passion for training and career development; excels in a rigorous and fast-paced work environment Self-starter with a strong work ethic and genuine willingness to learn, results-oriented, and highly accountable Strong interpersonal skills to interact effectively with various internal and external constituents Excellent verbal and written professional communication skills; [fluent in English] Flexible with regards to working hours and time zones Working knowledge of private equity, credit and real assets preferred Prior experience in Distribution Enablement, Distribution Intelligence, Product Owner or Analytics roles Advanced skills with hands-on experience in tools like Tableau, SQL, Snowflake, Alteryx, Seismic, Salesforce Solid understanding of data science, AI, ML, and LLMs concepts and their applications in business intelligence Strong proficiency in MS Office product suite - PowerPoint, Excel, Word, etc. Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo.

Experience Minimum 4+ Years of experience in machine learning & data analytics. Expert knowledge in Python, Statistics, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and NLP. Very good knowledge of Django/Flask, SQL, and TABLEAU is preferable. Deployment on AWS/GCP/Azure is preferable. Real-Time experience of working on Data Science (ML, DL & NLP) Projects is mandatory. Methodical and Aggressive learner. Roles & Responsibilities: Should be willing to handle Offline & Online training sessions. Deliver daily lectures and maintain high lecture rating Identify the gaps in learning when working with students. Design and develop engaging study material and content. Good at managing the cross-team effort Develop and deliver a complete end to end Data Science Projects Employment Type: Full-Time Job Types: Full-time, Part-time, Permanent, Freelance Pay: Up to ₹1,200,000.00 per year Schedule: Rotational shift Ability to commute/relocate: Nizampet, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 1 year (Required) Teaching: 1 year (Required)

Posting title: Python Developer Experience: 2-3 Years Location: Hyderabad Work mode: On-site Primary skills: Python, Fast API / Django / Flask , Model Integration , MySQL/SQL Server Qualification: Any Technical Degree Roles & Responsibilities : Develop robust and efficient Python code for applications. Collaborate with cross-functional teams to design and implement innovative solutions systems. Utilize Git for version control, ensuring proper code management and collaboration within the development team. Participate in code reviews, providing constructive feedback to improve code quality and maintainability. Troubleshoot and debug issues, employing effective problem-solving techniques. Stay up-to-date with the latest advancements in Python development. Contribute to the continuous improvement of development processes and best practices. Skills Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 2-3 years of professional experience in Python development. Strong proficiency in the Python programming language and its related libraries. Experience in computer vision, basic image processing with python and maybe a little understanding in ML will be an added advantage. Experience with Rest APIs and Microservices development in Flask or FastAPI. Familiarity with Git for version control and collaborative software development. Proficient in using Linux-based systems for development and deployment. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills to work effectively within a team. Ability to adapt to changing project requirements and deliver high-quality results.

Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience working with AI/ML models and training datasets (at least 1-2 years preferred). Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). Strong analytical and problem-solving skills. Basic knowledge of programming languages (Python preferred). Attention to detail and ability to work with large datasets. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹19,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Health insurance Internet reimbursement Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person

We are looking a professional having good knowledge in Python, Django, AI, Deep Learning. The person should have a passion for training and should have good presentation skills Job Type: Full-time Pay: ₹12,000.00 - ₹13,500.00 per month Schedule: Monday to Friday Work Location: In person

Job Overview: We are looking for a talented 3D Visualiser with experience in integrating AI tools into the visualization pipeline . You will be responsible for producing high-quality 3D renders, animations, and concept visuals for [architecture / product design / gaming / advertising], while leveraging AI technologies to enhance productivity, realism, and ideation. Key Responsibilities: Create photorealistic 3D visualizations, stills, and animations using tools such as 3ds Max, Blender, Maya, or Cinema 4D. Integrate AI tools (e.g., Midjourney, Runway ML, DALL·E, Adobe Firefly, Stable Diffusion) into concept development, moodboarding, and rendering workflows. Develop and present conceptual and final visualizations from architectural plans, sketches, or references. Use AI-assisted text-to-image or image enhancement tools to support faster creative iterations. Collaborate with architects, designers, and marketing teams to translate ideas into compelling visual content. Stay up-to-date with the latest in AI for design/visualization and suggest tools or workflows for adoption. Optimize 3D scenes for performance without compromising on quality. Render using V-Ray, Arnold, Octane, or similar render engines, enhanced by AI-based denoising or upscaling techniques. Required Skills & Qualifications: Bachelor’s degree in 3D Design, Architecture, Game Design, Animation, or related field. 3–5+ years of experience as a 3D Visualiser or similar role. Proficiency in 3D software (3ds Max, Blender, Maya, Rhino, etc.). Familiarity with AI-powered tools like Midjourney, DALL·E, Adobe AI tools, or similar. Experience with Photoshop, After Effects, and other post-production software. Knowledge of AI in rendering, image enhancement, or environment generation is a plus. Strong eye for lighting, composition, detail, and photorealism. Ability to manage multiple projects with tight deadlines. Nice-to-Have: Experience with Unity or Unreal Engine. Coding/scripting knowledge (Python, MEL) for automating tasks. Experience creating VR/AR content or real-time 3D models. AI prompt engineering skills. Job Type: Full-time Pay: ₹10,729.49 - ₹42,319.16 per month Schedule: Day shift Work Location: In person

Job Summary: We are seeking a creative and tech-savvy AI Video & Image Editor to join our digital content team. The ideal candidate should have a strong understanding of AI-based editing tools and platforms to produce compelling video and image content efficiently. You will work closely with the marketing and design teams to bring ideas to life using the latest AI technologies. Key Responsibilities: Use AI tools (e.g., Runway ML, Pika Labs, Sora, D-ID, Canva AI, Midjourney, etc.) to create and edit videos and images. Generate visual content including AI-generated characters, voiceovers, subtitles, and motion graphics. Enhance and retouch images and videos to meet brand aesthetics and social media guidelines. Collaborate with content writers, designers, and marketers to deliver engaging multimedia content. Stay updated with the latest AI tools and trends in video and image editing. Required Skills: Proficiency in AI-powered editing tools (e.g., Runway ML, Kaiber, Adobe Firefly, Descript, Canva AI). Basic to advanced video editing skills (CapCut, Adobe Premiere, Final Cut Pro is a plus). Familiarity with image editing tools like Photoshop, Lightroom, or AI equivalents. Creative mindset with a keen eye for design, storytelling, and visual composition. Ability to manage multiple projects and meet deadlines. Preferred Qualifications: Degree/Diploma in Multimedia, Design, Animation, or related field (not mandatory if skilled). Portfolio showcasing previous AI-generated works (images/videos). Experience with voice cloning, text-to-video/image tools, or avatar-based content. Perks & Benefits: Opportunity to work on global projects Skill development & AI tool training support Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Vellayambalam, Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: AI Video Editing: 1 year (Required) Work Location: In person

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D And A) – Python API Developer with AI/ML Exposure-Senior As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We are currently seeking a seasoned API developer with AI/ML Exposure to join our team of professionals. As part of data science team, you'll need to collaborate with the AI/ML engineers to integrate machine learning models and solutions into solution architecture. This will require understanding the core principles of AI/ML development, being enthusiastic about learning new information, and staying updated with the latest trends in this sphere. Key Responsibilities: Develop and maintain scalable, robust, and high-performance Python web applications and services with AI/ML models at their core Ensure high performance and responsiveness to front-end requests Cover the code with a comprehensive test suite Accurately estimate and plan your work Write clear and concise technical documentation. Skills and Qualifications Needed: 3+ years of experience with Python, including both Sync and Async programming [ Must have ] Proficient in building APIs and web applications using FastAPI and Django Strong knowledge of SQL and NoSQL database systems Familiar with Kafka for real-time data streaming and messaging Hands-on experience with Docker for containerization and deployment Skilled in implementing background task processing with Celery Solid understanding of the HTTP protocol and RESTful API design principles Comfortable working in Linux/UNIX environments, including shell scripting and system tools Passionate about writing reliable code with a focus on unit and integration testing English proficiency: Intermediate level or higher (written and spoken) A degree in computer science or a similar field Flexible, self-motivated approach with strong commitment to problem resolution. Excellent written and oral communication skills, with the ability to deliver complex information in a clear and effective manner to a range of different audiences. Willingness to work globally and across different cultures, and to participate in all stages of the data solution delivery lifecycle, including pre-studies, design, development, testing, deployment, and support. Preferred Skills : Good to have experience with microservices architecture Exposure to Machine Learning (ML) and Large Language Models (LLMs) will be added benefit Familiarity with AWS Cloud services Experience designing and managing ETL workflows Working knowledge of Terraform What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies: We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services: We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics: Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle: We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities. We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP: By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management: We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation: The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security: The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification : BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Work Flexibility: Hybrid What You Will Do: Design, develop, and maintain complex, high-performance, and scalable full-stack software applications Collaborate with cross-functional teams, including data scientists, AI researchers, mobile app developers, and AI/ML engineers, to gather requirements, define project scope, and ensure alignment with business objectives and goals. Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks in a cloud-native (Azure) environment. Troubleshoot and resolve complex software issues, ensuring optimal application performance and reliability Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions. Contribute to the development and maintenance of technical documentation, including design specifications, API documentation, and user guides. What You Will Need: Basic Qualification Bachelor’s degree in computer science or engineering or equivalent work experience  A minimum of 8 years of experience in software development, with a focus on full-stack development. Strong knowledge of multiple programming languages, such as JavaScript, Python, Java, or C#.  Proven experience with front-end technologies and frameworks, such as React, Angular, or Vue.js.  Solid understanding of back-end technologies and frameworks, such as Node.js, Django, or Spring Boot.  Familiarity with database technologies, such as SQL, NoSQL, and ORM tools. Preferred Qualification / Engineering tools: Experience with Azure cloud platform, services, and best practices. Knowledge of AI and machine learning concepts, technologies, and integration techniques. Experience with version control systems, such as GitLab, and project management tools such as Jira or Azure DevOps. Knowledge of CI/CD pipelines, containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates. Travel Percentage: None

Job Purpose We are looking for a skilled and versatile Data Engineer with hands-on experience in Databricks and backend development using either .NET or FastAPI. The ideal candidate will be responsible for building scalable data pipelines, integrating APIs, and enabling data-driven applications in a cloud-based environment. Desired Skills and experience  6-7 years’ experience as pure hands-on databricks engineer.  Strong understanding of full stack application development.  Experience within the pharma domain is a bonus  Programming Languages: Python, Pyspark  Tools: Databricks, MLFlow  Able to work independently without the needs for close supervision and collaboratively as part of cross-team efforts  Experience with delivering projects within an agile environment Key Responsibilities  Own and deliver bug fix/ feature development in databricks  Should be able to work independently on python/pyspark development  Own the development/maintenance of databricks workflows  Able to deploy external machine learning models in databricks and holds good understanding of AI/ML stack of databricks  Hands on experience in integrating databricks data with .net/fast apis  Hands on experience in migrating data across databricks clusters  Experienced in handling data quality issues in databricks platform  Able to deploy databricks models in code orange unity catalog.

Job Purpose We are looking for a passionate candidate in the application of advanced analytics and data science to address varied business problems. You will need to have a strong grounding in python and have experience of leading value delivery through product development and AI/ML modelling. You will operate in teams on a wide range of projects using agile ways of working collaboratively with other colleagues and partners from the wider Biostatistics, Data Science and R&D community. Desired Skills and experience  Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field.  5+ years of hands-on experience in machine learning, deep learning, or AI engineering roles.  Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.  Experience with cloud platforms (AWS, GCP, Azure [Preferred]) and deploying ML models in production.  Strong software engineering skills, including version control (Git), containerization (Docker), and CI/CD pipelines.  Solid understanding of data structures, algorithms, and system design.  Experience with data preprocessing, feature engineering, and model evaluation.  Excellent problem-solving, analytical, and communication skills.  Ability to work independently and as part of a collaborative team. Key Responsibilities  Design, develop, and deploy scalable machine learning models and AI-driven solutions for real-world business problems.  Collaborate with data scientists, software engineers, and product managers to define requirements and deliver impactful solutions.  Lead the end-to-end machine learning lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, and deployment.  Implement and maintain ML Ops pipelines for continuous integration, delivery, monitoring, and retraining of models.  Optimize models for performance, scalability, and efficiency in production environments.  Stay current with the latest AI/ML research, tools, and best practices; evaluate and implement new technologies as appropriate.  Document processes, models, and code to ensure reproducibility and knowledge sharing.  Mentor and guide junior engineers and team members.  Ensure compliance with data privacy, security, and ethical standards in all AI/ML initiatives.

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Job description Drives the execution of the technical and architectural decisions made by the team, ensuring employment of the right practices, helping to problem solve and ensuring team members remain invested and collaborate. Collaborates with key stakeholders to analyze ideas and demands for architectural fit and translates detailed business requirements into implementable solution. Partners with business and IT on solution architecture design. Keeps the alignment between enterprise architecture blueprint and recommendations and solution implementation. Ensures technical integrity, consistency, and quality of the solution on every stage of its lifecycle Preferred skills Understands generally accepted software design principles, concepts and terminologies specifically but not limited to the following: Architecture design (C4 Modeling) Building Block Design Solutions Modeling Microservices Architecture Software Engineering Security User Interface (web/mobile) is Proficient with identifying & applying relevant Architecture & Design Patterns for performance. Must have experience in integrating with Legacy systems. Knowledge of Development best practices, like TDD, BDD. Knowledge in design, presentation, and prototyping tools. Experience in designing Cloud native applications & services deployed over AWS. Good to have experience in handling Application security and API Security. Good understanding of latest Industry standards and architectural patterns in Distributed Computing, Cloud, UI, and Database would be essential for success. Experience in coaching an agile technical team. Should have experience of DevOps practices - Continuous Integration tools (Jenkins), Configuration management tools (Git, Bitbucket), Unit testing (JUnit), Build configuration (Maven, Gradle), Code Quality (SonarQube) etc. Qualifications Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, Engineering, or a related discipline. 12+ years IT experience, preferably 3+ years in a multi-national financial services company especially insurance 5+ years experience in sizable IT projects. Responsibilities Create target solution architecture for modernization and transformation initiatives comprising of core insurance platforms. Demonstrated expertise in developing cloud-native, microservices-based, and API-driven insurance solutions, leveraging modern architectural patterns and emerging technologies such as AI/ML, big data, and IoT Thorough understanding of common patterns, frameworks, and reference architectures for the Insurance domain, with a focus on digital transformation and innovation. Job Category: IT - Application Development Posting End Date: 29/07/2025

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Job description Solution architect for driving and supporting various transformation initiatives in Sun Life across Asia. This role will be part of RO IT Architecture team. Preferred skills Design and develop end-to-end contact center solutions using Salesforce and Amazon Connect. Collaborate with business stakeholders to understand their contact center requirements and translate them into technical solutions. Lead the architecture and design of complex contact center systems, ensuring they meet business needs and align with industry best practices. Provide technical leadership and guidance to development teams throughout the project lifecycle. Ensure the scalability, security, and performance of contact center solutions. Stay updated with the latest trends and technologies in Salesforce, Amazon Connect and contact center solutions. Extensive experience with Salesforce and Amazon Connect. Strong understanding of cloud computing, data integration, and API management. Proven experience in using Agile approach for development with frequent sprints for business benefits realization. Experience in leading the design and/or development of solutions with a virtual team in remote locations. Strong appreciation and proven achievement in selecting appropriate tools for platform delivery. Proficiency in Salesforce development and customization (Apex, Visualforce, Lightning Components). Expertise in Amazon Connect configuration and integration. Familiarity with API management and development (REST, SOAP, GraphQL). Excellent communication and presentation skills, able to engage conversations at all levels of senior management Qualifications Minimum Bachelor's degree, preferably with a Master's degree in Computer Science, Engineering, or a related discipline 15+ years of IT experience, with a minimum of 7+ years in the insurance industry, focusing on the application of emerging technologies. Responsibilities Accountable for leading the IT Architecture for all projects and programs, focusing on innovative business and IT solutions in the insurance domain, such as new-age digital platforms, cloud-native applications, AI/ML-powered decision-making, and data-driven insights. Evaluate solutions to ensure a high degree of sustainability, scalability, and seamless integration with the existing application landscape, leveraging modern architectural patterns and emerging technologies. Provide governance on solution architecture and technology standards across the region, with a focus on cloud, microservices, APIs, and data-centric architectures. Lead regional transformation programs, driving the entire solution architecture lifecycle, from conceptualization to execution, with a focus on agile and DevOps practices. Identify and evaluate industry-leading insurance solutions and emerging technologies that can address various business challenges in areas such as new business, underwriting, claims, document management, CRM, workflow, payments, and point-of-sale. Effectively communicate and collaborate with senior executives (CxO level), functional heads, senior managers, and peers across Asia BUs and Corporate on cross-functional matters, advocating for the adoption of innovative solutions. Conduct briefings and presentations to senior executives, both internally and externally, showcasing the value of technology-driven business transformation. Demonstrate excellent problem-solving skills for large, complex, and broad issues, working independently and leading cross-functional teams. Job Category: IT - Application Development Posting End Date: 29/07/2025

Skill required: Delivery - Financial Planning and Analysis (FP&A) Designation: I&F Decision Sci Practitioner Manager Qualifications: Master of Business Administration Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. In today’s business environment, growth isn’t just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselves? The key is a new operating model—one that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clients—by harnessing talent, data and intelligence to redefine their operating models. We are seeking an experienced FP&A Transformation Leader to drive financial planning and analysis modernization initiatives for our clients. This role combines deep FP&A domain expertise with cutting-edge technology capabilities to reimagine traditional finance processes and deliver measurable business outcomes. What are we looking for? • Apply deep subject matter expertise in core FP&A processes including strategic planning, budgeting, forecasting, variance analysis, and performance reporting to design optimal future-state solutions • Leverage advanced analytics and AI/ML technologies to build predictive models, scenario planning capabilities, and intelligent forecasting systems that transform traditional FP&A approaches • Conduct comprehensive process assessments to identify automation opportunities and design optimal technology-enabled workflows that reduce manual effort while improving accuracy • Translate complex financial concepts into technical requirements and vice versa, serving as the bridge between finance and technology teams • Help build data-driven FP&A platforms using modern technologies (cloud-based EPM systems, data visualization tools, robotic process automation) to create scalable, real-time financial insights • Support pursuit activities by developing compelling demonstrations of FP&A transformation capabilities and participating in client pitches • Contribute to RFP responses with technical solution design, project estimates, and implementation approaches for FP&A modernization opportunities • Advanced proficiency in one or more EPM platforms (Anaplan, Adaptive Insights, OneStream, Oracle PBCS, SAP BPC) • Strong data analytics capabilities using tools such as Alteryx, Tableau, Power BI, Python, or R for financial modeling and visualization • Experience with AI/ML applications in finance including predictive analytics, automated forecasting, and intelligent process automation • Database and data management knowledge including SQL, data warehousing concepts, and ETL processes • Develop business cases and ROI models for proposed FP&A transformation initiatives, including cost-benefit analysis and implementation roadmaps Certifications: CFA - Certified Financial Analyst; CPA - Certified Public Accountant Roles and Responsibilities: • Lead end-to-end FP&A transformation projects from vision development through implementation, managing complex stakeholder ecosystems across client organizations • Drive client conversations and presentations at C-suite and senior finance leadership levels to articulate transformation value propositions and secure buy-in • Manage and develop high-performing teams of experienced consultants, providing strategic direction and ensuring transformation and delivery excellence within time and budget constraints • Design and implement innovative FP&A solutions that leverage technology to automate processes, enhance analytics capabilities, and improve decision-making speed and accuracy • Coordinate cross-functional collaboration between finance, technology, and business teams to ensure seamless integration and adoption of new processes • Drive innovation initiatives by staying current with emerging FP&A technologies, industry best practices, and regulatory changes that impact financial planning processes • Conduct change management activities to ensure successful adoption of new FP&A processes and technologies within client organizations • Mentor junior team members and contribute to the development of the firm s FP&A transformation capabilities and methodologies • Maintain strong client relationships through exceptional delivery quality and proactive identification of additional value-creation opportunities Master of Business Administration

Job Description Turn data into impact. Help shape the future of security at Akamai. Are you passionate about using data to solve complex problems? Join our Security Strategy & Analytics team! We collaborate with the Security Technology Group to create solutions safeguarding Akamai's infrastructure and enhancing decision-making. Utilising data, AI/ML, and visual storytelling, we transform security and operational information into valuable business results. Partner with the best As a Strategy & Operations Analyst II, partner with security leadership to deliver analytics-driven insights and visualisations. Define data requirements, build models, and provide predictive insights for decision-making within Akamai's security organisation. As a Strategy & Operations Analyst II, you will be responsible for: Collaborating with security leadership to comprehend organisational needs and develop data-informed solutions. Translating business needs into technical requirements while partnering with IT teams for implementation. Designing and implementing scalable data architecture, pipelines, and visual analytics with SQL, Tableau, Python. Developing AI/ML models for uncovering patterns and driving predictive insights. Creating engaging dashboards and reports conveying stories and shaping decision-making effectively. Promoting adoption of analytics tools while improving solutions through ongoing user feedback integration. Do What You Love To be successful in this role you will: 2+ years of experience in Strategy, Operations, Consulting, or Analytics with a Bachelor's degree. Utilise SQL, Python, and Tableau to create dashboards and automate data-informed decision workflows. Deliver AI/ML solutions through real-world use cases achieving measurable business impact. Interpret datasets to identify trends, derive insights, and inform decisions through precise data analysis. Collaborate seamlessly with global cross-functional teams, ensuring clear communication and alignment across varied business objectives. Demonstrate ownership and initiative by consistently delivering timely, responsible, and impactful outcomes across all assigned responsibilities. Work in a way that works for you FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply. Learn what makes Akamai a great place to work Connect with us on social and see what life at Akamai is like! We power and protect life online, by solving the toughest challenges, together. At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here. Working for you Benefits At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life: Your health Your finances Your family Your time at work Your time pursuing other endeavors Our benefit plan options are designed to meet your individual needs and budget, both today and in the future. About Us Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away. Join us Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

Position Overview BayOne Solutions is seeking an exceptional AI/ML Engineer to join our innovative technology initiatives that will revolutionize talent acquisition through intelligent automation. This role is critical to developing and implementing cutting-edge AI/ML solutions that will transform core business processes and drive operational excellence. As our AI/ML Engineer, you will architect and deploy sophisticated machine learning models, implement generative AI solutions, and build multimodal AI systems that transform how we connect talent with opportunities. This position offers the opportunity to work with Fortune 500 clients while building scalable AI solutions that will define the future of our technology platform. Key Responsibilities AI/ML Model Development & Implementation (40%) Design and implement advanced machine learning algorithms for candidate-job matching, utilizing semantic understanding and behavioral prediction models Develop natural language processing solutions for job description parsing, candidate profile analysis, and automated content generation Build and optimize recommendation engines that intelligently match candidates to opportunities based on skills, experience, and cultural fit Create predictive models for recruitment outcomes, including candidate success probability and time-to-fill optimization Implement anomaly detection systems for candidate screening and quality assurance Generative AI & Large Language Models (25%) Develop and fine-tune large language models (LLMs) for recruitment-specific applications including automated job description generation, candidate communication, and interview preparation materials Implement RAG (Retrieval-Augmented Generation) systems for intelligent document processing and candidate information extraction Build conversational AI systems for candidate pre-screening, interview scheduling, and engagement campaigns Create prompt engineering solutions and implement advanced generative AI workflows using GPT, LLaMA, and other foundation models Develop multimodal AI applications that process text, voice, and structured data for comprehensive candidate assessment Data Pipeline & Integration (20%) Design and implement robust data pipelines for processing candidate profiles, job descriptions, and recruitment metrics Build ETL processes for integrating multiple data sources including internal systems, critical platforms, and external APIs Develop real-time data processing systems for candidate sourcing and matching operations Implement data quality monitoring and validation systems ensuring high-quality inputs for ML models Create scalable data architectures supporting AI model training, inference, and continuous learning Platform Integration & Deployment (15%) Integrate AI/ML models with the Django-based Recruitment 2.0 platform through RESTfuI APIs and microservices architecture Deploy models to production environments using containerization (Docker) and cloud platforms (Azure/AWS) Implement A/B testing frameworks for model performance evaluation and continuous improvement Build monitoring and alerting systems for model performance, drift detection, and system health Collaborate with full-stack developers to ensure seamless integration of AI capabilities into user- facing applications Required Qualifications Education & Experience Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field 2+ years of hands-on experience in machine learning, deep learning, and AI model development Proven track record developing and deploying AI/ML solutions in production environments Experience working with enterprise clients and understanding business requirements for AI applications Technical Skills Programming Languages: Expert-level Python proficiency; experience with C++, SQL, and web technologies ML/AI Frameworks: Advanced experience with TensorFlow, PyTorch, Keras, scikit-learn, and Huggin Face Transformers Generative AI & LLMs: Hands-on experience with GPT models, fine-tuning techniques, prompt engineering, and foundation models NLP & Text Processing: Strong background in natural language processing, text classification, named entity recognition, and semantic analysis Data Processing: Proficiency with NumPy, Pandas, and large-scale data processing frameworks Cloud & DevOps: Experience with Azure/AWS, Docker, Git, and CI/CD pipelines for ML model deployment Databases: Working knowledge of SQL databases, NoSQL systems, and vector databases for AI applications Specialized Experience Experience with multimodal AI systems processing text, audio, and structured data Background in recommendation systems, matching algorithms, and information retrieval Knowledge of automated assessment systems and candidate evaluation methodologies Experience with real-time AI applications and low-latency model serving Understanding of bias detection and fairness in AI systems, particularly for human-oriented applications Preferred Qualifications Master's degree in Machine Learning, AI, or related field Background in developing Al-powered applications for complex business processes Knowledge of federated learning and distributed AI system architectures Experience with document processing, OCR, and information extraction systems Familiarity with enterprise software integration patterns and API development Application Process We are looking for candidates who can start immediately and contribute to our fast-paced, innovative environment. Please submit your resume along with examples of AI/ML projects you've developed, particularly those involving NLP, generative AI, or recommendation systems. Equal Opportunity Employer: Bayone Solutions is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. This position o[fers an exceptional opportunity to shape the[uture of recruitment technology while working with cutting-edge AI systems and enterprise clients. Join us in building the next generation o[talent solutions.

About the Opportunity Job Type: Permanent Application Deadline: 09 July 2025 Job Description Title Senior Manager,FACET(CCoE Department Finance Location Gurgaon Reports To Associate Director Level 6, Senior Manager Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $616 billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers, and wealth managers, to private individuals. We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like you’re part of something bigger. About your team The Cost CoE team was formed in mid 2022 to address the complexity & drivers around cost, create a scalable operating model, and deliver services that drive business performance and ensure regulatory compliance. To progress on the vision of building cost CoE, the primary responsibility of this role would be enhancing the transparency and quality of costs & related datasets. The candidate will be responsible to support drive strategic programmes and develop implementation plans by coordinating with leaders across Controllership and Business finance. The candidate will also contribute to creation and implementation of best practices, cost estimation vision, strategy, policies, processes, and procedures to aid and improve both strategic partnerships and operational aspects About your role The FACET arm within the Cost Center of Excellence (CoE) is responsible for capability creation and innovation across AI, Python, data engineering, automation, and project management to drive efficiency and decision-making in Finance. As a Senior Manager, you will play a critical role in leading strategic capability-building initiatives, managing large-scale projects, and driving cross-functional adoption of emerging tools and processes. This role requires a blend of strong project management expertise, finance transformation knowledge, and a deep understanding of new-age technologies. Key Responsibilities: 1. Project Leadership & Execution: Lead and oversee multiple large-scale projects focused on capability building in Finance. Develop and manage project roadmaps, governance structures, and execution plans to ensure successful implementation. Identify key use cases for AI, Python, automation, and data engineering within Finance and drive adoption. Manage project risks, interdependencies, and ensure seamless execution through Agile and traditional project methodologies. 2. Capability Building & Technology Adoption: Establish and implement best practices for new technologies in Finance. Drive training, knowledge-sharing, and skill-building programs for teams on AI, Python, data engineering, and automation. Build a structured framework for measuring capability adoption and impact. 3. Stakeholder & Change Management: Partner with Finance, Technology, and Business teams to integrate new tools and capabilities into BAU processes. Lead change management efforts, ensuring smooth adoption and engagement across functions. Present updates, business cases, and impact assessments to senior leadership. 4. Process Optimization & Innovation: Evaluate finance processes to identify areas for automation, AI integration, and advanced analytics. Develop proof-of-concept (PoC) models and lead their full-scale implementation. Establish best practices and governance models for sustained improvements. About you 8 to 10 years of experience in finance transformation, project management, or technology-driven capability building. Strong project management expertise (PMP, PRINCE2, Agile, Six Sigma preferred). Exposure to Finance processes (FP&A, cost management, shared services). Knowledge of AI, Python, Power BI, data engineering, or automation tools. Excellent stakeholder management, analytical, and problem-solving skills. Proven track record in leading capability-building initiatives in Finance or Technology. Hands-on experience with financial automation, AI/ML, or data analytics. Experience in finance shared services, FP&A, or cost allocation models.

Software Engineer – AI/ML/LLM/Data Science Company Overview: Entra Solutions (A BSI Financial Services company) is a FinTech company specialized in technology based financial solutions and services for the mortgage Industry. We are a people-focused, growth-oriented, innovative company and we're looking for people like you to make a positive change and join our team today! We are looking for an innovative Software Engineer – AI/ML/LLM/Data Science to design, develop, and deploy AI-driven solutions using Machine Learning, NLP, and Large Language Models (LLMs). The ideal candidate will work with Python to build and optimize retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies. You will develop scalable AI pipelines, ensuring high performance and seamless integration with cloud and on-prem environments. This role involves MLOps best practices, AI model optimization, and deployment of intelligent applications. WHAT YOU WILL DO: Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases (e.g., ChromaDB, Pinecone, FAISS). Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. Develop end-to-end AI solutions with APIs using FastAPI, Flask, or similar frameworks. Build and maintain scalable data pipelines for training and inferencing AI models. Deploy and manage models using MLOps best practices on AWS or Azure. Optimize AI model performance for low-latency inference and scalability. Collaborate with cross-functional teams (Product, Engineering, Data Science) to integrate AI capabilities into applications. WHAT WE’RE LOOKING FOR: Must Have: Proficiency in Python – Strong hands-on experience in AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs. Good to Have: Experience with LLM fine-tuning, embeddings, and transformers. Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for AI models). Hands-on experience in cloud-based AI deployment (AWS Lambda, SageMaker, GCP Vertex AI, Azure ML). Knowledge of prompt engineering, GPT models, or knowledge graphs. WHAT’S IN IT FOR YOU? Competitive Salary & Full Benefits Package PTOs / Medical Insurance Exposure to cutting-edge AI/LLM projects in an innovative environment Career Growth Opportunities in AI/ML leadership Collaborative & AI-driven work culture EEO Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Job Title: Sr. Scrum Master Job Description About the Role We are looking for an experienced and motivated Scrum Master to lead agile delivery across our AI-driven product teams. Our platform focuses on building LLM-powered agentic bots, assistants, and custom AI agents that integrate with cloud services. In this role, you will be responsible for driving Agile best practices, removing impediments, and fostering a culture of continuous improvement. You will work closely with Product Owners, Engineering Managers, and stakeholders to ensure timely and high-quality delivery of business-critical initiatives. Key Responsibilities Facilitate core Scrum ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives) Coordinate with external teams, especially on platform dependencies or integrations (e.g., APIs, cloud, AI services) Guide and coach cross-functional teams on Agile principles and Scrum practices Remove blockers and enable team members to focus on delivering value Foster a high-performing, collaborative, and self-organizing team culture Collaborate with Product Owners to maintain a clear and prioritized backlog Track sprint progress and report key metrics and insights to stakeholders Drive continuous improvement initiatives through retrospectives and feedback loops Support education and adoption of Agile mindset within teams applying AI in their own projects Qualifications Bachelor's degree in computer science engineering, or a related field (master's preferred) 5+ years of experience in Agile project delivery, with at least 3 years as a Scrum Master Certified Scrum Master (CSM), SAFe Scrum Master (SSM), or equivalent certification Strong understanding of Agile frameworks (Scrum, Kanban, SAFe) Proven experience managing multiple Agile teams in a fast-paced environment Excellent facilitation, conflict resolution, and communication skills Comfortable working with technical teams building AI-integrated systems (APIs, cloud, ML/LLM workflows) Experience with Agile tools such as Jira, Confluence, etc. Nice to Have Experience in applied AI/ML or software projects involving LLMs, data, or API-heavy backends Exposure to agentic AI design patterns or NLP engineering Experience in scaled Agile environments (e.g., SAFe) Background in software development or technical project management Familiarity with DevOps practices and CI/CD pipelines Why Join Us? Work at the frontier of applied AI and automation Lead teams building agentic systems that solve real-world problems Be part of a collaborative, cross-functional culture where engineering, AI, and product intersect Help shape how teams deliver smart, scalable solutions using Agile best practices Location: IND Gurgaon B14-18 Flr Work-at-Home Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Job description About this role About this role At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $11 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. What are Aladdin Data and Process Engineering Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. Aladdin Data team is responsible for the data ecosystem within BlackRock. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams, and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin. Process Engineering engineers design and build large scale applications, data pipelines, process integrations for computation processes, and distributed systems. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers. Being a member of Aladdin Data, you will be: Tenacious: Work in a fast paced and highly complex environment Creative thinker: Analyses multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Responsibilities include: Collaborate with team members in a multi-office, multi-country environment. Deliver high efficiency, high availability, concurrent and fault tolerant software systems. Work with product management and business users to define the roadmap for the product. Design and develop innovative solutions to complex problems, identifying issues and roadblocks. Apply validated quality software engineering practices through all phases of development. Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support. Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others. Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement. Providing L2 or L3 support for technical and/or operational issues. Qualifications: B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. Skills and Experience: Over 4 years of hands-on experience in software development with a strong foundation in Core Java and related technologies. Proficient in object-oriented programming (OOP) and design patterns , with a proven track record of delivering high-quality, maintainable, and scalable software solutions. Experienced in developing robust enterprise applications using Java , Spring Framework , Spring Boot , Hibernate , and Microservices architecture . Skilled in working with both relational databases (e.g., MySQL , Sybase ) and NoSQL technologies (e.g., Cassandra , Redis ). In-depth understanding of concurrent programming , with experience designing high-throughput , high-availability , and fault-tolerant distributed systems . Proficient in modern development tools and practices including Git , Maven , CI/CD pipelines , unit and integration testing frameworks , and mocking tools . Strong capabilities in software architecture design , with a focus on test-driven development (TDD) and clean code principles. Excellent analytical thinking , problem-solving , and communication skills , enabling effective collaboration across cross-functional teams. Demonstrates a strong interest in finance and investment processes , with the ability to translate complex business requirements into scalable technical solutions. Nice to Have & Growth Opportunities Familiarity with high-scale distributed technologies such as Kafka , MongoDB , Apache Ignite , and Redis . Exposure to building microservices and APIs using REST , Kafka , or gRPC . Experience developing distributed applications using SQL (e.g., MS SQL , Sybase ) and NoSQL databases (e.g., Cassandra , Redis ). Practical understanding of cloud-native design patterns applied to event-driven microservice architectures . Hands-on experience or interest in working with cloud platforms like Microsoft Azure , AWS , or Google Cloud . Familiarity with cloud deployment tools such as Docker , Ansible , Terraform , and Kubernetes . Exposure to AI/ML-driven projects or experience in an AI research environment . Understanding of DevOps practices , observability tools (e.g., Prometheus , Grafana ), and performance tuning in distributed systems. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R254126

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :28 June 2025 Expected Start Date :7 July 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 29/06/2025 Expected Start Date: 07/07/2025

We’re looking for an experienced and strategic Senior Data Scientist who can drive high-impact business outcomes by deploying advanced real-time statistical and AI models. This role requires full ownership of projects—from business requirement gathering to production deployment—while working cross-functionally with teams such as marketing, sales, and service. Experience: 7-9 yrs , Hybrid Job Type: Contractual (min 6 months) Joining: Immediate joiners Key Responsibilities: Own end-to-end development and deployment of statistical and AI models. Collaborate with business teams to gather requirements and deliver data-driven solutions. Automate workflows and scale models in production. Continuously analyse marketing, sales, and service data to deliver insights and strategic recommendations. Explore new opportunities to enhance targeting strategies across departments. Work closely with marketing teams to align insights with key performance indicators (KPIs). Build full-stack solutions including backend and frontend components for deployed models. Required Skillset: Educational background in Data Science, Computer Science, Statistics, or related fields. Proven expertise in building and deploying Gen AI, Agentic AI, and foundational ML models (supervised, unsupervised, deep learning, etc.). Strong experience in deploying production-level models. Hands-on expertise in SQL, Snowflake, ER diagrams , and data engineering tools. Strong business acumen and ability to contextualise data solutions for business use cases. Certification in Gen AI / Agentic AI / ML is mandatory. Familiarity with Web Analytics and Customer Data Platforms (CDP) is required. Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹120,000.00 - ₹165,000.00 per month Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you an immediate joiner? Experience: Data science: 7 years (Required) Work Location: In person

Company Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects Job Description We are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, operationalization of AI/ML and process automation. You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems. Job Responsibilities Develop and apply machine learning innovations with minimal technical supervision. Understand the requirements from stakeholders and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Qualifications Essential Requirements Bachelor's degree in Computer Science or an equivalent numerate discipline Demonstrated senior experience in Machine Learning, Deep Learning & other AI fields Experience working with large datasets, production-grade code & operationalization of ML solutions EDA analysis & practical hands-on experience with datasets, ML models (Pytorch or Tensorflow) & evaluations Able to understand scientific papers & develop the idea into executable code Analytical mindset, problem solving & logical thinking capabilities Proactive attitude, constructive, intellectual curiosity & persistence to find answers to questions A high level of interpersonal & communication skills in English & strong ability to meet deadlines Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks Desired Skills Masters degree &/or specialization courses in AI/ML. PhD in science is an added value Experience in MLOPs (MLFlow, Prefect) & deployment of AI/ML solutions to the cloud (Azure preferred) Understanding & practice of LLMs & Generative AI (prompt engineering, RAG) Experience with Robotic Process Automation, Time Series Forecasting & Predictive modeling A practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss) Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio) Additional Information With @NielsenIQ, we’re now an even more diverse team of 40,000 people – each with their own stories Our increasingly diverse workforce empowers us to better reflect the diversity of the markets we measure. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Machine Learning Engineer (L1) Experience Required: 2-4 years As a Machine Learning Engineer at Spring, you’ll help bring data-driven intelligence into our products and operations. You’ll support the development and deployment of models and pipelines that power smarter decisions, more personalized experiences, and scalable automation. This is an opportunity to build hands-on experience in real-world ML and AI systems while collaborating with experienced engineers and data scientists. You’ll work on data processing, model training, and integration tasks — gaining exposure to the entire ML lifecycle, from experimentation to production deployment. You’ll learn how to balance model performance with system requirements, and how to structure your code for reliability, observability, and maintainability. You’ll use modern ML/AI tools such as scikit-learn, HuggingFace, and LLM APIs — and be encouraged to explore AI techniques that improve our workflows or unlock new product value. You’ll also be expected to help build and support automated data pipelines, inference services, and validation tools as part of your contributions. You’ll work closely with engineering, product, and business stakeholders to understand how models drive value. Over time, you’ll build the skills and judgment needed to identify impactful use cases, communicate technical trade-offs, and contribute to the broader evolution of ML at Spring. What You’ll Do Support model development and deployment across structured and unstructured data and AI use cases. Build and maintain automated pipelines for data processing, training, and inference. Use ML and AI tools (e.g., scikit-learn, LLM APIs) in day-to-day development. Collaborate with engineers, data scientists, and product teams to scope and deliver features. Participate in code reviews, testing, and monitoring practices. Integrate ML systems into customer-facing applications and internal tools. Identify differences in data distribution that could affect model performance in real-world applications. Stay up to date with developments in the machine learning industry. Tech Expectations Core Skills Curiosity, attention to detail, strong debugging skills, and eagerness to learn through feedback Solid foundation in statistics and data interpretation Strong understanding of data structures, algorithms, and software development best practices Exposure to data pipelines, model training and evaluation, or training workflows Languages Must Have: Python, SQL ML Algorithms Must Have: Traditional modeling techniques (e.g., tree models, Naive Bayes, logistic regression) Ensemble methods (e.g., XGBoost, Random Forest, CatBoost, LightGBM) ML Libraries / Frameworks Must Have: scikit-learn, Hugging Face, Statsmodels, Optuna Good to Have: SHAP, Pytest Data Processing / Manipulation Must Have: pandas, NumPy Data Visualization Must Have: Plotly, Matplotlib Version Control Must Have: Git Others – Good to Have AWS (e.g., EC2, SageMaker, Lambda) Docker Airflow MLflow Github Actions