27201 Ml Jobs - Page 17

As an Azure AI Engineer at Optimum Data Analytics, you will be a key member of our team in Pune, contributing to the design and deployment of cutting-edge AI/ML solutions using Azure cloud services. You should have a minimum of 5 years of hands-on experience in the field and hold either the Microsoft Azure AI Engineer Associate or Microsoft Azure Data Scientist Associate certification. Your role will involve collaborating with business stakeholders, data engineers, and product teams to deliver scalable and production-ready AI solutions that drive business value and growth. Key Responsibilities - Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. - Implement and manage data pipelines for model training workflows and ML lifecycle within the Azure ecosystem. - Work closely with business stakeholders to gather requirements, analyze data, and provide predictive insights. - Collaborate with data engineers and product teams to ensure the delivery of scalable and production-ready AI solutions. - Establish and maintain best practices for model monitoring, versioning, governance, and responsible AI practices. - Contribute to solution documentation and technical architecture. - Design AI agents using Azure stack tools such as Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, and LangGraph. Required Skills & Qualifications - Minimum of 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. - Mandatory Certification: Microsoft Azure AI Engineer Associate OR Microsoft Azure Data Scientist Associate. - Strong knowledge of Azure services including Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. - Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. - Solid understanding of data science lifecycle, model evaluation, and performance optimization. - Experience with version control tools like Git and deployment through CI/CD pipelines. - Excellent problem-solving and communication skills. - Strong experience in building AI Agents. - Familiarity with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases, etc.). Good To Have - Experience with Power BI or other data visualization tools. - Exposure to MLOps tools and practices. If you are passionate about leveraging AI/ML to drive business transformation and meet organizational objectives, we encourage you to apply for this position and be part of our dynamic team at Optimum Data Analytics.,

Description Amazon is seeking a candidate to identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American Transportation Network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. TESS team in Hyderabad is looking for an innovative, hands-on and customer-obsessed BIE for it's Analytics team. This role requires an individual with excellent statistical and analytical abilities, strong attention to detail, deep knowledge of business intelligence solutions (like Microsoft Excel, SQL, Tableau, Redshift) as well as business acumen and ability to communicate clearly and collaborate with both business owners and other analytics teams. The candidate must be able to roll up his or her sleeves and work directly with the data. The ideal candidate should be endlessly curious, passionate about getting relevant insights from data, be a self-starter comfortable with ambiguity, and with an ability to work in a fast-paced and entrepreneurial environment. Primary Responsibilities Include Defining the problem and building analytical frameworks to help the operations to streamline the process Identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. The candidate will also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics. Leverage AI/ML skill to build forecasting models and As a BIE I on the Transportation Engineering Systems Team, you will own business stakeholder engagement, focus on delivering new, or streamlining existing processes and programs, and create resports/dashboards to support network connectivity,defect reduction, improvements in productivity, and shape mid to long term planning and prioritization for supported business groups. You’ll work cross functionally with a broad range of business stakeholders to define detailed requirements and implement process/system based solutions for the Amazon Fulfillment/Transportation Network. Additionally, this role will require to create operational structure and provide data driven insights for strategic direction in determining investment prioritization for our business analytics and tech partners. You will utilize a range of analytical tools and techniques to build business reports, generate dashboards, create metrics to measure success and integrate upcoming tech features AL/ML into the worklflow while driving process automation. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3050062

Job Title: Full Stack Developer (Python/Flask) Company: AY Labs Location: [Insert Location or "Remote"] Experience Level: 0–2 Years Employment Type: Full-time About AY LabsAY Labs is a technology-driven company focused on building scalable and intelligent solutions. We work on cutting-edge projects in [briefly insert the domain—e.g., AI/ML, data platforms, SaaS—customize if known], offering a collaborative environment for young engineers to grow and innovate. Role OverviewWe’re looking for a Full Stack Developer to join our development team. You'll be working primarily with Python (Flask)on the backend and JavaScript on the frontend to build responsive, scalable web applications. Ideal for early-career developers eager to contribute to real-world projects and grow their technical skills. Key ResponsibilitiesDesign, develop, test, and deploy web applications using Flask and JavaScript. Implement and manage APIs, databases, and frontend interfaces. Work with deployment tools like Host Liger to manage production environments. Collaborate with cross-functional teams on new feature development and bug fixes. Write clean, maintainable code and contribute to code reviews. Stay updated with new tools, frameworks, and best practices. Requirements0–2 years of experience in full stack development. Strong understanding of Python and the Flask framework. Hands-on experience with JavaScript, HTML, and CSS. Familiarity with Host Liger deployment or similar hosting platforms. Understanding of RESTful APIs, version control (Git), and basic DevOps concepts. Good problem-solving skills and a willingness to learn. Nice to HaveKnowledge of modern JavaScript frameworks (e.g., React, Vue). Experience working with SQL or NoSQL databases. Familiarity with CI/CD pipelines and automated testing. What We OfferOpportunity to work on meaningful projects from day one. Supportive mentorship and skill development. Flexible work culture and remote-friendly setup. Exposure to a startup environment with real impact.

Develop and deploy AI/ML models for business applications. Work on natural language processing (NLP), computer vision, and predictive analytics projects. Collaborate with data engineers and analysts to prepare datasets for training and testing models. Evaluate and fine-tune models for accuracy, efficiency, and scalability. Stay updated with the latest AI research and integrate new techniques into projects. Create AI-powered tools to automate repetitive tasks and improve productivity. Ensure ethical AI usage, following data privacy and security guidelines.

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. We are seeking an experienced Oracle Application Solution Architect (Senior Manager) to lead the design, implementation, and optimization of Oracle Cloud and on-premises applications. The ideal candidate will have deep expertise in Oracle application suites across ERP, HCM, SCM, EPM, PPM, or CX and a strong understanding of enterprise business processes. This role requires strategic leadership, collaboration with senior stakeholders, technical teams, and end-users to drive successful enterprise-wide Oracle application deployments. Lead the end-to-end architecture of Oracle applications, ensuring alignment with business objectives and IT strategy. Oversee the implementation, configuration, and customization of Oracle Cloud and on-premises applications, including ERP, EPM, HCM, SCM, PPM, or CX modules. Define and oversee data migration strategies and integrations with third-party applications using Oracle Integration Cloud (OIC) and middleware solutions. Partner with C-suite executives, business leaders, IT teams, and external vendors to align technology strategies with business goals. Ensure system security, access controls, and compliance with regulatory requirements. Monitor system performance and provide recommendations for optimization and best practices. Provide strategic guidance and mentorship to implementation teams, architects, and senior consultants. Stay updated on the latest Oracle Cloud updates, industry trends, and best practices to drive innovation. Experience: 15+ years of experience in Oracle applications, with at least 7 years in Oracle Cloud solutions. Expertise in one or more of the Oracle application modules: ERP, HCM, SCM, or CX. Strong knowledge of Oracle Integration Cloud (OIC), Oracle PaaS, and middleware solutions. Hands-on experience with data migration, API-based integrations, and security configurations. Deep understanding of enterprise business processes in finance, HR, supply chain, or customer experience domains. Experience leading multi-country, multi-currency, and global Oracle application implementations. Strong problem-solving and analytical skills with the ability to troubleshoot complex issues. Excellent communication, leadership, and stakeholder management skills. Oracle Cloud certifications (preferred). Competencies / Skills: Experience in Agile methodologies and DevOps for Oracle Cloud implementations. Knowledge of emerging technologies such as AI, ML, and Blockchain in enterprise applications. Prior experience in industries such as manufacturing, retail, banking, or healthcare. Strong project planning, risk management, and stakeholder communication skills. Ability to manage complex projects with priorities while meeting deadlines and budgets. Advanced analytical thinking, with a focus on integrating data-driven insights and predictive models into financial planning processes. Experience in diagnosing and solving technical and process challenges efficiently. Excellent communication skills with the ability to present complex concepts to diverse audiences. Strong relationship-building skills to foster trust and credibility with clients and internal teams. Adaptability to evolving technologies, including Oracle Cloud updates and AI-driven solutions. Commitment to continuous improvement, learning, and innovation in enterprise performance management. Must possess a valid passport and be willing to travel for client site work (domestic and international). Education: Graduate from a reputed educational institution; MBA or equivalent preferred. Oracle certifications in EPBCS and Narrative Reporting. Additional certifications in project management (e.g., PMP, PRINCE, TOGAF, Agile) and AI/ML applications are a plus. 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.,

🚀 We’re Hiring: AI/ML Engineer 🧑‍💻Looking for a passionate AI/ML Engineer (0–2 YOE) ready to solve real-world problems using cutting-edge ML & LLM technologies . 📌 What We Expect Strong in Python, ML/DL, and model training Good grasp of OOPs, SQL, and AI system design Experience with RAG, LangChain, LLMs is a big plus Take initiative, own delivery , and maintain clear and timely communication Be self-motivated, hungry to learn , and eager to prove themselves Collaborating w ith cross-functional teams to build intelligent automation systems for clients Be passionate about building and enhancing innovative AI solutions Fluent in English & able to handle client interactions Self learner, problem-solver, and career-focused Open to flexible hours & deadline-driven projects 🏆 Bonus if you’re from Tier - 1 / Tier -2 colleges and have strong portfolio 📩 Apply now: hr@austere.co.in 💬 DM if you’re ready to build impactful AI with us! #Hiring #AIJobs #MLJobs #Python #LangChain #RAG #LLM #SQL #OOPs

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10290_0 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING INTERNSHIP - RESEARCH TO APPLICATION TRACK Role: Internship Associate (Unpaid) Location: Remote / Hybrid Duration: Project-based (with flexible engagement timelines) Industry: Artificial Intelligence | Deep Learning | Computer Vision | Generative AI We are hiring interns for a research-backed, industry-driven AI development program , focused on the practical implementation of Machine Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI using Transformer models . Ideal for students pursuing graduation in Artificial Intelligence , Machine Learning , Computer Science , Data Science , or Deep Learning , this program offers guided exposure to both technical innovation and commercial feasibility through real-world project deployment. This is not a purely academic internship — it's a hands-on, solutions-oriented engagement , where research meets application. Candidates will contribute to AI tools, generative model engineering , vision-based systems , and intelligent application development under professional mentorship. Responsibilities Collaborate on applied AI development projects using ML, CV, NLP, and generative algorithms Assist in designing transformer-based architectures , data pipelines, and evaluation protocols Perform exploratory data analysis, model optimization, and multi-language prompt engineering Implement and iterate prototypes for computer vision systems and generative use-cases Participate in structured training sessions to enhance domain-specific capabilities Document technical progress, logic flow, and system behavior for internal validation Engage in cross-functional brainstorms addressing real-world technology use-cases Uphold clear and professional communication across documentation and team meetings Qualifications Students or fresh graduates with academic background in AI, ML, Deep Learning, NLP , or Computer Science Solid grounding in ML principles, with exposure to libraries like TensorFlow, PyTorch, OpenCV Working knowledge of programming in Python ; familiarity with MATLAB or C++ is beneficial Experience or interest in prompt engineering for Generative AI tools and LLMs Strong English communication skills — essential for task framing and prompt clarity Self-motivated with a problem-solving mindset and intellectual curiosity Comfortable working on remote platforms and version control tools like GitHub Previous academic or hobby projects in AI/ML will be an advantage Application Instructions To apply, send your resume and a brief statement of interest to: jobs.samvinmaya@gmail.com Subject line: Application – AI & ML Internship Program Applications will be considered on a rolling basis. Note If you have any questions or thoughts about the internship or project scope, feel free to include them in your email along with your resume.

📍 Location: Remote (India preferred) 🧠 Experience: 6+ Years (Python + AI/ML with exposure to GenAI) Job Description: We are looking for a skilled and curious Python Developer with experience in Generative AI to join our growing team. You will work on cutting-edge AI solutions that involve LLMs, prompt engineering, fine-tuning models, and building scalable Python-based APIs and applications . This is an excellent opportunity to be at the forefront of GenAI product development, from prototype to production . Key Responsibilities: Design, develop, and maintain Python-based applications for AI-driven use cases. Build, test, and deploy LLM-powered applications using APIs (e.g., OpenAI, Anthropic, Cohere, etc.). Implement pipelines for prompt engineering, vector embeddings , and retrieval-augmented generation (RAG) . Collaborate with data scientists, product managers, and backend engineers to translate AI models into scalable products. Write clean, maintainable, and well-documented Python code. Develop REST APIs using frameworks like FastAPI or Flask . Optimize performance of AI workflows and inference pipelines. Stay updated on GenAI trends, open-source tools, and research advancements. Required Qualifications: 6+ years of hands-on development experience with Python . Proven experience building or integrating LLM-based applications (e.g., chatbots, document assistants, summarizers). Familiarity with OpenAI, Hugging Face, LangChain, or similar frameworks . Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong understanding of REST APIs, JSON, and microservice architecture . Good grasp of prompt engineering , token limits , and LLM design patterns . Experience with Git, CI/CD workflows, and agile teams. Nice-to-Have: Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with Docker , Kubernetes , or deploying GenAI applications to production. Exposure to ML model fine-tuning or evaluation frameworks . Understanding of RAG pipelines or semantic search . Please apply directly at vishal.raj@therxcloud.com.

Qualifications Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development Experience with popular MLOps tools (e.g., Domino Data Labs, Dataiku, mlflow, AzureML, Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.) Experience with LLM platforms (OpenAI, Bedrock, NVAIE) and frameworks (LangChain, LangFuse, vLLM, etc.) Experience in programming languages common to data science such as Python, SQL, etc. Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.). Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists Familiar with at least one major cloud provider (Azure, AWS, GCP), including resource provisioning, connectivity, security, autoscaling, IaC. Familiar with cloud data warehousing solutions such as Snowflake, Fabric, etc. Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value. Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking. Ability to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software. Demonstrated experience in teaching and/or mentoring professionals. Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers

Job Summary: We are seeking a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. The ideal candidate will be responsible for developing, maintaining, and optimizing our core backend systems and services, with a particular focus on complex algorithms .This role requires a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. You will work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. The ideal candidate is passionate about data, enjoys problem-solving, and thrives in a collaborative environment. Experience in the financial or banking domain is a plus. Responsibilities: Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity. Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows. Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data. Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability. Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. Extensive experience building and maintaining RESTful APIs and working with microservices architectures. Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. Solid understanding and practical application of statistical analysis methods for business decision-making. Hands-on experience with PySpark for large-scale distributed data processing. Strong SQL skills for querying, manipulating, and optimizing relational database operations. Deep understanding of data cleaning, preprocessing, and validation techniques. Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus. Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. Strong analytical, debugging, problem-solving, and communication skills. Ability to work both independently and collaboratively within a team environment. Preferred Skills: Experience with CI/CD tools and Git-based version control. Experience in the financial or banking domain. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing India IT Product Systems team is currently looking for an Associate Software Developer - Java full stack to join them in their team in Bangalore, India. This role will be based out of Bangalore, India . Position Responsibilities: Understands and develops software solutions to meet end user requirements. Ensures that application integrates with overall system architecture, utilizing standard IT lifecycle methodologies and tools. Develops algorithms, data and process models, plans interfaces and writes interface control documents for use in construction of solutions of moderate complexity. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): 2+ years of relevant experience in IT industry Experience in designing and implementing idiomatic RESTful APIs using the Spring framework (v6.0+) with Spring Boot (v3.0+) and Spring Security (v6.0+) in Java (v17+). Experience with additional languages (Scala/Kotlin/others) preferred. Working experience with RDBM Systems, basic SQL scripting and querying, specifically with SQL Server (2018+) and Teradata (v17+). Additional knowledge of schema / modelling / querying optimization preferred. Experience with Typescript (v5+), JavaScript (ES6+), Angular (v15+), Material UI, AmCharts (v5+) Experience working with ALM tools (Git, Gradle, SonarQube, Coverity, Docker, Kubernetes) driven by tests (JUnit, Mockito, Hamcrest etc.) Experience in shell scripting (Bash/Sh), CI/CD processes and tools (GitLab CI/similar) OCI containers (Docker/Podman/Buildah etc.) Data analysis and engineering experience with Apache Spark (v3+) in Scala, Apache Iceberg / Parquet etc. Experience with Trino/Presto is a bonus. Familiarity with GCP / Azure (VMs, container runtimes, BLOB storage solutions) preferred but not mandatory. Preferred Qualifications (Desired Skills/Experience) : A Bachelor’s degree or higher is preferred Strong backend experience (Java/Scala/Kotlin etc.) with basic data analysis/engineering experience (Spark/Parquet etc.) OR basic backend experience (Java/Scala etc.) with strong data analysis/engineering experience (Spark/Parquet etc.) OR Moderate backend experience (Java/Kotlin etc.) with Strong Frontend experience (Angular 15+ with SASS / Angular Material) and exposure to DevOps pipelines (GitLab CI) Typical Education & Experience: Bachelor's Degree with typically 2 to 5 years of experience OR Master's Degree with typically 1 to 2 years of experience is preferred but not required Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Aug. 09, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Job Family Definition: Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Management Level Definition Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. What You’ll Do Responsibilities: Design topologies and build network configurations that map well-optimized network reference designs Plan, develop and execute automated and manual test plans for the reference design readiness Provide constructive feedback, report issues, and interact with developers to deliver best in class product quality Review requirements from the Product Management, Technical Marketing & Account teams Utilize available network troubleshooting tools, including network packet captures, monitoring devices, log files, and customer inputs to facilitate effective issue resolution. Minimum Qualifications What you need to bring: BS degree in Computer Science or equivalent experience Years of experience – 5 to 7 yrs Expert knowledge on Layer 2 and Layer 3 technologies by either validating or deploying related networking products Deep understanding on Clos based Data Center networks architecture :3-stage and 5-stage and Data Center Interconnect (DCI) Excellent understanding of protocols used in Data Center networks such as ZTP, EVPN-VXLAN, BGP Proficient in Class of Service and DCQCN that gets heavily used in AI-ML Based Clos Networks Expert knowledge on Python programming Deep understanding of software, networking, and system concepts, including Linux internals, distributed system concepts and network troubleshooting tools Excellent interpersonal and communication skills with a proven ability to develop and maintain effective relationships. Strong problem solving and decision-making skills Good Communication skills Additional Skills Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job Engineering Job Level TCP_01 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

About Us Embrace Software, headquartered in Tampa, USA, is one of the fastest-growing software acquirers in the world. We focus on building niche software businesses that deliver mission-critical solutions across industries (Industrial, Healthcare, Fintech and Edtech). Why Join Embrace: Rapid Growth: Our team has expanded to over 300 members in just 4 years. Financial Strength: We’ve secured $130M in capital. Acquisitions: With 13 successful acquisitions to date, we’re operating in hyper-scale mode. Fortune 500 Impact: We serve 16% of Fortune 500 companies. Proven Leadership: Our CEO/Founder has a track record of creating over $2B in value through his ventures (prior ventures include being a founding member and Chief Strategist at Valsoft, as well as an early lead investor and Board member at VitalHub (TSX: VHI)) Join us as we lay the groundwork for exponential growth over the next 5 years. If you thrive in a fast-paced environment and share our vision, we’d love to have you on board! Job Description This is a remote position. Embrace Software is seeking a nimble, analytically driven Product Specialist to support portfolio companies that lack dedicated product leadership. You will identify competitive insights and emerging opportunities—particularly involving AI—and co-develop actionable product roadmaps alongside CEOs and CTOs across the portfolio. Success will be measured by the velocity, strategic clarity, and business impact of roadmap initiatives launched across 13+ operating companies. Key Responsibilities Competitive & Market Intelligence Conduct ongoing scans of the market landscape, including size, pricing trends, and competitor moves Identify emerging opportunities using AI-driven analysis and trend tracking Perform win/loss analysis to support data-driven roadmap decisions Deliver quarterly “Opportunity Radar” decks and rapid briefs for new acquisitions Portfolio Product Roadmapping Facilitate structured 6-week product roadmap sprint sessions with portfolio companies Align product initiatives with metrics such as revenue retention, upsell potential, and cost-to-serve Deliver signed, KPI-linked roadmaps with RACIs and 12-month delivery calendars Executive Advisory Coach founders and GMs on product prioritization, positioning, and long-term strategy Present executive recommendations to the Embrace Investment Group Prepare board-ready product strategy memos and frameworks M&A Diligence Support Evaluate product maturity, scalability, and technical debt of acquisition targets Assess value creation potential through modernization or AI infusion Produce concise Red/Yellow/Green diligence scorecards Operating Rhythm & Enablement Design reusable product frameworks, templates, and KPI dashboards Maintain a self-serve “Product Playbook” wiki to standardize and scale product best practices Requirements Experience 5–10 years in product management, product strategy, or competitive intelligence within B2B/SaaS organizations (vertical market software is a plus) Proven ability to influence C-level stakeholders without formal authority Hands-on experience with AI/ML-enabled features or data product strategy Skills Strong problem-solving abilities with a structured, hypothesis-driven approach (consulting toolkit welcome) Proficient in Excel/Google Sheets, SQL, and BI tools such as Power BI or Tableau Familiarity with LLMs and AI product development Skilled in product roadmapping tools (e.g., Aha!, Productboard) Ability to translate technical trends into strategic product decisions Soft Traits Agile and entrepreneurial; comfortable context-switching across industries and business models Clear communicator—able to simplify complex concepts for executive consumption Humble and collaborative; builds trust and credibility quickly within cross-functional teams Preferred Qualifications MBA, MS in Analytics/Computer Science, or equivalent practical experience Experience with SaaS pricing and packaging strategy Exposure to private equity roll-ups, portfolio operations, or post-merger integration Familiarity with product due diligence in M&A contexts Benefits Competitive salary, structured based on UK working hours. Comprehensive training and mentorship programs for skill and knowledge enhancement. Opportunities for career advancement and professional development. Experience collaborating with a diverse, global team within a remote work setting.

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 6-10 years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Role Summary: RHOO-RegHub On Olympus is a Regulatory Reporting framework built on Olympus Tech Stack to centrally report all in-scope transactions, events and client reports on a single, scalable, cost-effective regulatory architecture that mitigates regulatory and reputational risk through delivery of complete, accurate and compliant reporting for various businesses. We are looking for a Big Data and AI Lead responsible for driving our organization's efforts in leveraging big data and artificial intelligence (AI) to achieve Regulatory objectives. This role involves developing and implementing strategies for data collection, storage, processing, analysis, and AI-driven applications. By embracing AI/ML, RegHub On Olympus (RHOO) will remain at the forefront of regulatory reporting technology and provide a competitive advantage in the financial industry. Required Skillset : The role requires 10+ yrs hands on experience in Java development. Working experience in designing systems with Low Latency Streaming Architectures Spark Spring Boot Kafka (ELK) Flink or any real-time streaming framework experience. Working Knowledge of NoSQL, Kafka, Big Data, MongoDB Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala. Experience in delivering Regulatory ask like in extremely compressed timelines Experience is JMS and Real time message processing on TIBCO. Experience using Jira, Bit Bucket and managing development/testing/release efforts. Experience using XML, FIX, POJO, JSON message format. Experience with Impala, Elastic & Oracle. Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring Hands on Amazon Simple Storage Service (S3). Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules. Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022. Ability to lead a team from the front and guide them through time sensitive milestones. Focus on leveraging regulatory delivery as a driver for the firm’s data strategy. Very good communication and interpersonal skills. Excellent relationships with senior tech, business and compliance partners. Experience with delivery expertise for large scale programs. Ability to align delivery with firm’s long-term strategy. Quick decision maker with the ability to take a grasp of the situation in case of an issue and mitigate the impact. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 13+ years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Working experience in designing systems with Low Latency Streaming Architectures Working Knowledge of NoSQL, Kafka, Big Data, MongoDB Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala. Experience in delivering Regulatory ask like in extremely compressed timelines Experience is JMS and Real time message processing on TIBCO. Experience using Jira, Bit Bucket and managing development/testing/release efforts. Experience using XML, FIX, POJO, JSON message format. Experience with Impala, Elastic & Oracle. Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring Hands on Amazon Simple Storage Service (S3). Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules. Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022. Ability to lead a team from the front and guide them through time sensitive milestones. Focus on leveraging regulatory delivery as a driver for the firm’s data strategy. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture , Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief As a Senior AI/ML Engineer in our Data & AI Governance team, you’ll build the systems that improve how Maersk detects, manages, and fixes data quality issues at scale while contributing to responsible AI observability and compliance tooling. This is a hands-on engineering role focused on platform-level tooling for data reliability, model traceability, and metadata intelligence. You’ll work across structured and unstructured data, help enforce quality SLAs and contribute to components that support the governance of AI/ML models. The role sits at the intersection of platform engineering, data operations, and applied AI - ideal for someone who enjoys building reusable tools, mentoring others, and making complex systems more reliable and auditable. This is a key part of our long-term vision to treat data quality with the same urgency and rigor as platform reliability. The systems you build will help set a new standard for how we manage quality, fairness, and trust in enterprise data and AI. Senior AI/ML Engineer Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. What I'll be doing – your accountabilities? Build and scale AI/ML-driven components to detect data anomalies, schema drift, and degradation in real-time across pipelines Develop validation logic, auto-profiling tools, and scoring engines to assess and monitor enterprise data quality Design architecture for AI/ ML-based DQ solutions that are modular, reusable, and scalable Apply AI/ML techniques including NLP, rule induction, and pattern classification to enrich metadata and detect systemic quality issues Build tooling to support responsible AI: drift tracking, fairness detection, explainability indicators, and lifecycle logging Partner with platform engineers to integrate these tools into orchestration systems (e.g., Airflow, MLflow, or Dagster) Work with data owners and stewards to operationalize quality ownership using MIDAS – Maersk’s enterprise AI platform for metadata inventory, data accountability, and governance Contribute to the creation of a DataOps playbook with SLAs, page-zero metrics, escalation routines, and ownership models Mentor junior engineers and shape architectural and engineering best practices for AI/ML observability and data quality tooling Foundational Skills Expert-level Python engineering experience with a proven ability to ship AI/ML-backed tooling at production scale Advanced knowledge of data pipelines and orchestration frameworks (e.g., Airflow, Spark, Dagster) Expert understanding of system observability - logging, telemetry, health scoring applied to data and model workflows Proven track record of applying advanced AI/ML techniques (e.g., classification, clustering, anomaly detection) in production settings Strong grounding in solution architecture for data-intensive, distributed systems Specialized Skills Deep experience applying AI/ML to data quality use cases such as profiling, anomaly detection, drift analysis, and schema inference Expertise in metadata management, lineage tracing, and automated documentation (e.g., via DataHub, Unity Catalog, or Collibra) Hands-on experience with responsible AI tooling (e.g., SHAP, LIME, Fairlearn, What-If Tool) for explainability and bias detection Built or contributed to platform-level components that are used across domains, not just in isolated project delivery Ability to design and implement architectural patterns that support federated ownership, reuse, and lifecycle transparency Eagerness to learn and contribute to AI governance frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF) and translate those into engineering patterns Qualifications & Requirements 8+ years of engineering experience, including at least 3 years building and deploying AI/ML solutions in production Demonstrated experience building DQ and model observability tools - not just core predictive systems Strong experience working in cross-functional platform teams that deliver shared services used across business units Fluent in MLOps tooling (e.g., MLflow, SageMaker, Vertex AI) and capable of versioning, tracking, and documenting model behavior Strong communication and documentation skills; able to make complex system behavior understandable and operable Passion for enabling trustworthy AI through high-quality engineering practices Preferred Experiences In addition to basic qualifications, would be great if you have… Experience implementing data quality scoring, monitoring, or root cause tooling in a production environment Experience working with shared metadata systems and operationalizing lineage or traceability at scale Strong involvement in platform teams or developer enablement functions - not just analytics or research delivery Applied experience with model explainability, fairness evaluation, or lifecycle documentation tooling Understanding of enterprise AI risk and how to translate policy into engineering design constraints

Job Category: QA Automation Job Type: Full Time Job Location: Bangalore Experience: 4+ Years Skills: API Appium Cypress Java Java script Postman Selenium Position Overview We are looking for an experienced Senior Test Engineer specializing in automation testing to join our team. The ideal candidate will have a strong background in manual and automated testing with tools like JAVA, Selenium, and Appium, along with expertise in API testing. As a creative engineering company, we value innovation, collaboration, and an automation-first mindset. Responsibilities Managing the project with quality QA deliverables (Manual + Automation) Client interaction on a daily basis (Standup, Scrum Calls, Sprint Planning, Sprint Retro, etc.) Managing the Manual and Automation test efforts Responsible for any client queries related to project Keeping the stakeholders informed about the work status on a daily basis Desired Profile Automation Testing using tools like Cypress, Selenium, Appium, Postman/RESTAssured (Preferably), Selenium, Java, Postman, Appium Extensive knowledge and experience on developing and maintaining industry level Test Automation Framework Programming languages – JavaScript, Core Java Automation tools/Framework -Selenium, Cypress, TestNG, Cucumber API Testing – Using Postman and REST Assured (Manual + Automation) Tools – TestNG, Jenkins, Git/Bit Bucket, BDD Experience with JIRA, TestRail, Test Link or any Test management tool. Experience working with client/s directly Clear understanding of different QA Strategies, methodologies etc Strong in Manual Testing Concepts KPI driven and a Good Team player Independently evaluates issues and proposes solutions Raises issues/concerns on time Automation first mindset Good To Have Automation framework – QMetry Experience on Flutter app automation Experience on Low Code/No Code Automation tools. Experience on testing on Cloud based applications and IoT devices Good if he/she has experience in testing AI/ML model Qualification Full time – MCA, BE/B. Tech If you are passionate about automation testing and eager to work in a collaborative and challenging environment, apply now!

Machine Learning Engineer Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work For®" list 12 years in a row! Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. RESPONSIBILITIES: Develop, productionize, and deploy scalable, resilient software solutions for operationalizing AI & ML. Deploy Machine Learning (ML) models and Large Language Models (LLM) securely and efficiently, both in the cloud and on-premises, using state of the art platforms, tools, and techniques. Provide effective model observability, monitoring, and metrics by instrumenting logging, dashboards, alerts, etc. In collaboration with Data Engineers, design and build pipelines for extraction, transformation, and loading of data from a variety of data sources for AI & ML models as well as RAG architectures for LLMs. Enable Data Scientists to work more efficiently by providing tools for experiment tracking and test automation. Ensure scalability of built solutions by developing and running rigorous load tests. Facilitate integration of AI & ML capabilities into user experience by building APIs, UIs, etc. Stay current on new developments in AI & ML frameworks, tools, techniques, and architectures available for solution development, both private and open source. Coach data scientists and data engineers on software development best practices to write scalable, maintainable, well-designed code. Agile Project Work Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions. Act as a positive champion for broader organization to develop stronger understanding of software design patterns that deliver scalable, maintainable, well-designed analytics solutions. Advocate for security and responsibility best practices and tools. Acts as an expert on complex technical topics that require cross-functional consultation. Perform other duties as required. , QUALIFICATIONS: Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development Experience with popular MLOps tools (e.g., Domino Data Labs, Dataiku, mlflow, AzureML, Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.) Experience with LLM platforms (OpenAI, Bedrock, NVAIE) and frameworks (LangChain, LangFuse, vLLM, etc.) Experience in programming languages common to data science such as Python, SQL, etc. Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.). Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists Familiar with at least one major cloud provider (Azure, AWS, GCP), including resource provisioning, connectivity, security, autoscaling, IaC. Familiar with cloud data warehousing solutions such as Snowflake, Fabric, etc. Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value. Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking. Ability to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software. Demonstrated experience in teaching and/or mentoring professionals. Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers

Openings : Senior and Mid-Level Location : Remote in India Hours : IST Rate: 25-35 LPA Job Purpose Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way. Job Responsibilities Create and maintain a scalable code to deliver AI/ML processes. Design and implement the pipelines for building and deployment of ML models. Design dashboards to monitor a system. Collect metrics and create alerts based on them. Design and execute performance tests. Perform feasibility studies/analysis with a critical point of view. Support and maintain (troubleshoot issues with data and applications). Develop technical documentation for applications, including diagrams and manuals. Working on many different software challenges always and ensuring a combination of simplicity and maintainability within the code. Contribute to architectural designs of large complexity and size, potentially involving several distinct software components. Work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Required Experience Demonstrated experience and knowledge in Linux and Docker containers Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) Proficient in programming languages: Python Experience with ML/Ops technologies like Azure ML Experience with SQL Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc. Strong ability to analyze and synthesize. (Good analytical and logical thinking capability) Proactive attitude, resolutive, used to work in a team and manage deadlines. Ability to learn quickly Agile methodologies development (SCRUM/KANBAN). Minimal work experience of 6 years with evidence. Ability to keep fluid communication written and oral in English, both written and spoken Preferred Experience Demonstrated experience and knowledge in unit and integration testing Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow Experience designing and implementing CICD pipelines for automation. Experience designing monitoring dashboards (Grafana or similar)

Job Category: AIML Job Type: Full Time Job Location: Bengaluru Mangalore Experience: 4-8 Years Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow Position Overview We are looking for an experienced AI/ML Engineer to join our team. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. This role shall lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer. Job Type: Full-Time Job Location: Bangalore/Mangalore Experience Required: 4-8 Years Key Responsibilities Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning. Implement image preprocessing and advanced computer vision pipelines. Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices. Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models. Accelerate model inference using GPU programming with CUDA and cuDNN. Port and test models on embedded and edge hardware platforms. (Orin, Jetson, Hailo) Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks. Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services. Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training. Desired Profile Strong programming experience in Python. Solid background in deep learning, CNNs, and transfer learning and Machine learning basics. Expertise in object detection, classification, segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo ) Understanding of image processing techniques. Familiarity with data pipelines, data preprocessing, and data analytics. Willingness to explore and contribute to Generative AI and cloud-based AI solutions. Good problem-solving and communication skills. Good to have Experience with C/C++. Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition). Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc. Knowledge of real-time deployment systems and streaming analytics. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute If you are passionate to work in a collaborative and challenging environment, apply now!

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Core Competencies, Knowledge And Experience Mode: Hybrid Location: Bangalore / Pune Experience 5 To 8 Years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. Excellent communication & presentation skills with track record of engaging with business project leads Flexibility and problem solving Previous experience in Telecom would be a distinct advantage Graduate from tier-1 or tier-2 college preferred with good academic record Must Have Technical / Professional Qualifications Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques Expert in Python Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. Good to have Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) Need to be worked on minimum 3 modelling projects till now in different areas: Predictive Modelling Mandatory kin actual business projects with monetary impact Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models Good stability in employments and from reputed tier-1 employers in past. Key Accountabilities And Decision Ownership Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design, develop, and implement AI tools - ML models to solve complex business problems Develop robust, scalable, and maintainable code that meets the high standards of quality and performance Developing scripts or tools to automate repetitive tasks Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Provide guidance on how to best use specific tools or technologies to achieve the desired results Communicate and present complex analytics results and concepts to leadership and internal stakeholders Collaborate with the team to identify opportunities for AI/ML integration Creating documentation for infrastructure design and deployment procedures Stay current with the latest trends and advancements in the field of AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor of Science in computer science or related quantitative field 3+ years of experience with software engineering and software development life cycle (SDLC) 3+ years of experience with demonstrable proficiency in programming languages such as Java or Python 2+ years of experience with one of the cloud platforms (Azure, AWS or GCP). Azure cloud experience preferred 2+ years of experience as backend developer (Springboot, FastAPI) Experience building APIs Experience implementing machine learning and AI techniques Experience working within the healthcare industry or another regulated environment Experience in Python using common data science libraries Experience with DevOps practices, including CI/CD Experience building large-scale, consumer-facing applications Experience working in an Agile environment AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC #NJP

Qualification Strong experience in Python 2+ years’ experience of working on feature/data pipelines using PySpark Understanding and experience around data science Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice Experience with statistical models e.g., multinomial logistic regression Experience of technical architecture, design, deployment, and operational level knowledge Exploratory Data Analysis Knowledge around Model building, Hyperparameter tuning and Model performance metrics. Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Good To Have Experience researching and applying large language and Generative AI models. Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Knowledge on Docker and Kubernetes. Role Generate actionable insights for business improvements. Ability to understand business requirements. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Collaborate with cross-functional teams to define and deliver new features Use case derivation and solution creation from structured/unstructured data. Actively drive a culture of knowledge-building and sharing within the team Experience applying theoretical models in an applied environment. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Experience 4 to 5 years Job Reference Number 13027