26212 Ml Jobs

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Experience: 7+ Years Job Type: Full-Time Job Overview We are seeking a highly experienced and motivated Senior Python Developer with AI expertise to lead our backend and AI engineering efforts. The ideal candidate will bring 7+ years of hands-on experience in backend development using Python, Django, REST APIs, and FastAPI, along with at least 3 years of applied experience in Artificial Intelligence including model deployment, RAG pipelines, and agentic AI frameworks. As a technical lead, you will mentor the team, own solution architecture, and drive full lifecycle development of AI-driven features and systems. Exposure to frontend technologies is a strong plus and will help in collaborating effectively across the full stack. Key Responsibilities Technical Leadership Lead and mentor a team of Python and AI engineers. Conduct code reviews, enforce best practices, and guide architectural decisions. Collaborate with cross-functional teams including Product, UX, and DevOps. Backend Development Architect and implement scalable microservices and APIs using Python , Django , and FastAPI . Design and maintain RESTful APIs to support frontend and integration needs. Work with containerized applications using Docker and orchestrate deployments with Kubernetes or similar platforms. AI/ML Development Develop and deploy AI models for NLP, classification, recommendation, or similar tasks. Apply EDA (Exploratory Data Analysis) techniques for data cleansing, feature engineering, and pattern discovery. Implement and fine-tune RAG (Retrieval-Augmented Generation) pipelines and agentic AI systems (e.g., LangChain, CrewAI). Handle end-to-end ML operations including experimentation, model versioning, testing, deployment, and monitoring. MLOps & Deployment Build CI/CD pipelines for AI models and backend services. Deploy models using tools like MLflow , SageMaker , Azure ML , or custom Docker-based solutions. Set up logging, alerting, and performance monitoring for production-grade AI systems. Required Skills & Qualifications Technical Skills 7+ years of backend development with Python and frameworks like Django and FastAPI . Solid understanding of REST API design , integration patterns, and performance optimization. At least 3 years of experience in AI/ML engineering including model deployment. Expertise in EDA , data pipelines , and AI lifecycle management . Hands-on experience with RAG , LangChain , agentic AI frameworks , and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with Docker , Kubernetes , and cloud environments (AWS, GCP, or Azure). Exposure to frontend frameworks (React, Vue, or Angular) is a plus and will help in end-to-end collaboration and debugging. Leadership & Communication Proven track record of leading development teams and delivering complex projects on time. Strong communication skills and ability to work cross-functionally with non-technical stakeholders. Mentorship experience with junior and mid-level developers. Nice to Have Experience in AI Copilots , chatbot development , or OpenAI/Anthropic API integration . Familiarity with prompt engineering , LLM fine-tuning , and AI orchestration tools. Knowledge of data orchestration (Airflow, Prefect) and event-driven architecture (Kafka, EventBridge). What You Get Work on cutting-edge AI and backend systems with real-world impact. Lead and scale a high-performing technical team. Influence architecture and strategic direction from the ground up.

Position: AI Engineer Experience: 2 Years - 4 Years Location: Alapakkam Job Description: Codenatives is seeking a talented and motivated AI Engineer with 2+ years of experience to join our growing team. You’ll work on cutting-edge projects involving Large Language Models (LLMs), LangGraph, OpenAI, Claude, and more. This role requires a strong foundation in Python, API development, and modern AI tools. Key Responsibilities: * Design and develop AI applications leveraging *LLMs* and *LangGraph* * Integrate and fine-tune models from *OpenAI, **Claude (Anthropic)*, etc. * Build and maintain scalable APIs using *Python* and *Node.js* * Develop and deploy cloud-based AI services and microservices * Collaborate with cross-functional teams to deliver AI-powered features * Optimize models and workflows for performance and scalability * Stay current with trends and innovations in the AI/ML and LLM ecosystem Required Skills: * Strong programming skills in *Python* * Hands-on experience with *LLMs* (OpenAI, Claude, etc.) * Experience working with *LangGraph* * Familiarity with *Node.js* and backend API development * Knowledge of *cloud platforms* (AWS, GCP, or Azure) * Experience in building and consuming *APIs* (APS) * Problem-solving mindset with strong debugging skills

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. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. 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.

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions. Our goal is to 'Deliver in time-every time'. For more details visit our website: www.bebotechnologies.com Let's have a 360 tour of our bebo premises by clicking on below link: https://www.youtube.com/watch?v=S1Bgm07dPmMKey Required Skills: Bachelor's or Master’s degree in Computer Science, Data Science, or related field. 7–10 years of industry experience, with at least 5 years in machine learning roles. Advanced proficiency in Python and common ML libraries: TensorFlow, PyTorch, Scikit-learn. Experience with distributed training, model optimization (quantization, pruning), and inference at scale. Hands-on experience with cloud ML platforms: AWS (SageMaker), GCP (Vertex AI), or Azure ML. Familiarity with MLOps tooling: MLflow, TFX, Airflow, or Kubeflow; and data engineering frameworks like Spark, dbt, or Apache Beam. Strong grasp of CI/CD for ML, model governance, and post-deployment monitoring (e.g., data drift, model decay). Excellent problem-solving, communication, and documentation skills.

3–5 years of experience in software engineering and ML development. Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Experience building and evaluating models, along with data preprocessing and feature engineering. Proficiency in REST APIs, Docker, Git, and CI/CD tools. Solid foundation in software engineering principles, including data structures, algorithms, and design patterns. Hands-on experience with MLOps platforms (e.g., MLflow, TFX, Airflow, Kubeflow). Exposure to NLP, large language models (LLMs), or computer vision projects. Experience with cloud platforms (AWS, GCP, Azure) and managed ML services. Contributions to open-source ML libraries or participation in ML competitions (e.g., Kaggle, DrivenData) is a plus. Job Type: Full-time Benefits: Internet reimbursement Paid time off Provident Fund Application Question(s): What is your expected CTC? What is your notice period? Experience: Machine learning: 3 years (Preferred) Work Location: In person

Job Information Industry IT Services Date Opened 07/30/2025 Job Type Full time Work Experience 1-3 years City Chandigarh State/Province Chandigarh Country India Zip/Postal Code 160002 Job Description About CrossML CrossML is a cutting-edge software development firm specializing in AI and machine learning solutions. We deliver innovative technologies to empower businesses and enhance operational efficiency. Join us to work on impactful projects and stay ahead in the evolving tech landscape. Position Overview We are seeking a skilled AI Full Stack Developer with 1-2 years of experience in design, develop, and implement AI-driven applications. This role requires a combination of expertise in web development and a strong foundation in AI/ML. Requirements Key Responsibilities Develop, test, and deploy AI-driven web applications. Design and maintain front-end (React/Angular) and back-end (Node.js/Django/Flask) systems. Build and integrate AI/ML models into applications using frameworks like TensorFlow or PyTorch. Work with databases (SQL/NoSQL) to store and manage application data. Collaborate with cross-functional teams to design scalable solutions. Optimise applications for maximum performance and scalability. Required Skills Proficiency in Python and JavaScript. Experience with front-end frameworks (React/Angular) and back-end technologies (Node.js/Django/Flask). Basic understanding of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Familiarity with RESTful APIs and version control systems (Git). Strong problem-solving and debugging skills. Benefits What We Offer Medical Insurance: Comprehensive coverage. 5-Day Work Week: Healthy work-life balance. Paid Time Off: Relax and recharge. Learning Opportunities: Upskill with AI/ML and full-stack development training programs. Join CrossML and become part of a dynamic team where innovation and growth are at the core of everything we do.

Job Title: Senior Machine Learning Engineer (Azure ML + Databricks + MLOps) Experience: 5+ years in AI/ML Engineering Employment Type: Full-Time Job Summary: We are looking for a Senior Machine Learning Engineer with strong expertise in Azure Machine Learning and Databricks to lead the development and deployment of scalable AI/ML solutions. You’ll work with cross-functional teams to design, build, and optimize machine learning pipelines that power critical business functions. Key Responsibilities: Design, build, and deploy scalable machine learning models using Azure Machine Learning (Azure ML) and Databricks . Develop and maintain end-to-end ML pipelines for training, validation, and deployment. Collaborate with data engineers and architects to structure data pipelines on Azure Data Lake , Synapse , or Delta Lake . Integrate models into production environments using Azure ML endpoints , MLflow , or REST APIs . Monitor and maintain deployed models, ensuring performance and reliability over time. Use Databricks notebooks and PySpark to process and analyze large-scale datasets. Apply MLOps principles using tools like Azure DevOps , CI/CD pipelines , and MLflow for versioning and reproducibility. Ensure compliance with data governance, security, and responsible AI practices. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of hands-on experience in machine learning or data science roles. Strong proficiency in Python , and experience with libraries like Scikit-learn , XGBoost , PyTorch , or TensorFlow . Deep experience with Azure Machine Learning services (e.g., workspaces, compute clusters, pipelines). Proficient in Databricks , including Spark (PySpark), notebooks, and Delta Lake. Strong understanding of MLOps, experiment tracking, model management, and deployment automation. Experience with data engineering tools (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse). Preferred Skills: Azure certifications (e.g., Azure AI Engineer Associate , Azure Data Scientist Associate ). Familiarity with Kubernetes , Docker , and container-based deployments. Experience working with structured and unstructured data (NLP, time series, image data, etc.). Knowledge of cost optimization , security best practices , and scalability on Azure. Experience with A/B testing, monitoring model drift, and real-time inference. Job Types: Full-time, Permanent Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Work Location: In person

Master-Works is looking for an experienced Engineering Manager to lead our talented engineering team. In this role, you will oversee the development and execution of engineering projects while fostering a culture of innovation and collaboration. You will be responsible for mentoring team members, managing performance, and ensuring project timelines are met. Key Responsibilities: 7+ years of experience in software engineering with a strong technical foundation. 2+ years of experience managing cross-functional teams, including hiring, mentoring, and performance management. Proven success working in startups and fast-paced product-driven environments. Expertise in executing complex projects across multiple teams with a focus on quality and timelines. Strong experience in Agile/Scrum methodologies including sprint planning, backlog grooming, and retrospectives. Adept at identifying and mitigating project risks, removing blockers, and handling escalations effectively. Excellent communication and stakeholder management skills, ensuring alignment across product, design, QA, and leadership teams. Passionate about building high-performing teams, fostering collaboration, and delivering scalable solutions. Requirements A bachelor's degree in Computer Science, Engineering, or a related field is preferred. 5+ years of experience in a software engineering role, with at least 2 years in a management capacity. Proven experience in managing engineering teams and delivering complex projects. Strong technical background in software development methodologies and practices. Excellent leadership, communication, and interpersonal skills. Ability to think strategically and drive initiatives from conception to completion. Experience with Agile methodologies and project management tools. Exposure to the AI/ML product lifecycle , with an understanding of model development, deployment, and monitoring. Familiarity with major cloud platforms such as Microsoft Azure and Amazon Web Services (AWS) . Hands-on experience with CI/CD pipelines and GitOps practices for streamlined and automated deployments.

Role : ML Engineer (Associate / Senior) Experience : 2-3 Years (Associate) 4-5 Years (Senior) Mandatory Skill: Python/ MLOps/ Docker and Kubernetes/FastAPI or Flask/CICD/Jenkins/Spark/SQL/RDB/Cosmos/Kafka/ADLS/API/Databricks Location: Bangalore Notice Period: less than 60 Days Job Description: Other Skills: Azure /LLMOps / ADF/ETL We are seeking a talented and passionate Machine Learning Engineer to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges. Collaborate with data scientists, model developers , software engineers, and other stakeholders to translate business needs into technical solutions. Experience of having deployed ML models to production Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders. Integrate machine learning models seamlessly into existing production systems. Continuously monitor and evaluate model performance and retrain the models automatically or periodically Streamline existing ML pipelines to increase throughput. Identify and address security vulnerabilities in existing applications proactively. Design, develop, and implement machine learning models for preferably insurance related applications. Well versed with Azure ecosystem Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus. Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus. Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team.

Description Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Education: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience: Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Staff, Solutions Architect (AI/ML) , you will play a pivotal role in driving the adoption of AI and Machine Learning solutions within one of the world’s largest Media & Entertainment companies. Based in India, you will lead the design and implementation of innovative AI/ML architectures that transform how we create, distribute, and monetize content across global markets. Your expertise will help bridge the gap between complex business challenges and advanced technical solutions, ensuring AI initiatives deliver real business value. This is a unique opportunity to work at the intersection of creativity and technology, where you’ll lead the development of intelligent solutions for personalized viewer experiences, optimized content workflows, and data-driven decision-making. If you’re passionate about leveraging AI/ML to revolutionize the Media & Entertainment industry and thrive in a dynamic, collaborative environment, this role is for you. 1. AI/ML Solution Design and Development Design and develop scalable AI/ML solutions tailored to address business challenges such as audience analytics, content personalization, and ad optimization. Lead the end-to-end architecture of AI/ML platforms, ensuring seamless integration with existing systems and data pipelines. Collaborate with data scientists, engineers, and business stakeholders to convert models into production-ready solutions. Evaluate and select appropriate AI/ML frameworks, technologies, and tools to meet project requirements. Ensure AI solutions are optimized for performance, scalability, and reliability across diverse use cases. 2. Technical Leadership and Innovation Provide technical leadership for AI/ML projects, guiding teams through solution architecture, development, and deployment. Stay abreast of emerging AI/ML trends and technologies to introduce innovative solutions and best practices. Lead proof-of-concept (POC) initiatives to validate new AI capabilities and demonstrate their potential impact. Promote a culture of innovation within the team, encouraging experimentation with cutting-edge AI/ML techniques. Mentor junior architects and engineers to build a strong pipeline of AI/ML talent. 3. Collaboration and Stakeholder Engagement Act as a key interface between business units, technical teams, and senior leadership to align AI/ML solutions with organizational goals. Translate business requirements into technical specifications, ensuring clarity and feasibility. Collaborate with cross-functional teams to prioritize and execute AI/ML projects that deliver the highest business impact. Communicate the value and progress of AI/ML initiatives to non-technical stakeholders through clear, compelling narratives. Foster strong relationships with external partners, including technology vendors and academic institutions, to drive innovation. 4. AI Governance and Risk Management Implement best practices for AI/ML governance, including model explainability, accountability, and ethical use. Ensure AI solutions comply with data privacy regulations and internal security protocols. Proactively identify and mitigate risks associated with AI/ML implementations, such as bias, overfitting, or data quality issues. Develop monitoring frameworks to track model performance and retrain models as necessary to maintain effectiveness. Establish guidelines and documentation for AI/ML processes, ensuring consistency and transparency. 5. Scalability and Continuous Improvement Architect solutions that are modular and scalable, capable of supporting future business growth and technological evolution. Regularly review and optimize existing AI/ML systems for improved performance and cost-efficiency. Establish feedback loops to capture learnings from deployed solutions and inform future enhancements. Identify opportunities for automation and operational efficiency using AI/ML. Lead initiatives to streamline workflows and reduce time-to-market for AI/ML projects. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline. Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus. Professional Experience: 8 + years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role. Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments, preferably within Media & Entertainment or a similar industry. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP). Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices. Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision. Technical Skills: Proficiency in programming languages like Python, Java, or R. Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL). Solid understanding of microservices architecture and APIs for AI model integration. Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring. Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights. Soft Skills: Exceptional problem-solving and critical-thinking abilities. Strong communication skills with the ability to articulate technical concepts to non-technical audiences. Collaborative mindset with the ability to work effectively in cross-functional teams. Leadership qualities, including mentoring and team development. High adaptability to a fast-paced and dynamic work environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

We are looking for an experienced Technology Leader with expertise in Industrial Automation to lead the design and implementation of robust testing strategies for various products of Process industry. The ideal candidate will define the testing framework, tools, and methodologies to ensure high reliability, safety, and performance of industrial control systems and software. Key Responsibilities: Define and implement test strategies for various products such Field Instruments, PID controller, GAS Measurement systems, PLC, SCADA and IIoT systems. Collaborate with Product Owners to ensure that requirements are comprehensive and address deployment scenarios, use cases, and the testability of both functional and non-functional requirements. Collaborate with development, systems engineering, and QA teams to ensure test coverage across all stages of the product lifecycle. Evaluate and integrate test tools and platforms suitable for industrial environments. Mentor QA engineers and promote best practices in test automation and validation. Drive continuous improvement in test processes, metrics, and reporting. Required Qualifications: Bachelor’s or Master’s degree in Instrumentation Engineering, Electrical & Communication Engineering or related field. 12+ years of experience in testing industrial automation systems, with at least 3 years in a test architect or lead role. Experienced with commissioning and maintenance in process industries like petroleum, power, pharmaceuticals etc. Strong knowledge of industrial protocols (Modbus, OPC UA, Profibus, Profinet, EIP, HART), and embedded systems testing. Experience with test automation tools (e.g., NI TestStand, LabVIEW, Selenium, Python-based frameworks). Familiarity with safety-critical systems and functional safety standards. Excellent analytical, communication, and leadership skills. Sound Knowledge on Basics of instrumentation w.r.t Temperature, pressure, Flow, Level, Gas sensing, Primary Elements , Control valves and Proportional control valves. Preferred Qualifications: Certifications in TÜV Functional Safety, or equivalent. Experience with CI/CD pipelines and DevOps practices in industrial environments. Knowledge of AI/ML-based testing or predictive analytics in automation. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Principal IS Architect Live What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a visionary and technically exceptional Principal IS Architect to lead the design and development of enterprise-wide intelligent search solutions. s a senior-level IT professional who designs and oversees the implementation of robust and scalable data and AI solutions, often utilizing the Java programming language and related technologies. This role requires a strong understanding of both data architecture principles and AI/ML concepts, along with expertise in Java development and cloud platforms You’ll lead by example—mentoring engineers, setting standards, and driving the technical vision for our next-generation search capabilities. This person will also be responsible for defining the roadmap for Products They will work closely with Development teams and act as a bridge between Product owners and Development teams to perform Proof of Concepts on provided design and technology, develop re-usable components etc. This is a senior role in the organization which along with a team of other architects will help design the future state of technology at Amgen India Design and Strategy: Responsibilities include developing and maintaining foundational architecture for data and AI initiatives, defining the technical roadmap, and translating business requirements into technical specifications Data Architecture: This involves designing and implementing data models, database designs, and ETL processes, as well as leading the design of scalable data architectures. The role also includes establishing best practices for data management and ensuring data security and compliance. AI Architecture and Implementation: Key tasks include architecting and overseeing the implementation of AI/ML frameworks and solutions, potentially with a focus on generative AI models, and defining processes for AI/ML development and MLOps. Develop end-to-end solution architectures for data-driven and AI-focused applications, ensuring alignment with business objectives and technology strategy. Lead architecture design efforts across data pipelines, machine learning models, AI applications, and analytics platforms in our Gap Data Platform area. Collaborate closely with business partners, product managers, data scientists, software engineers, and the broader Global Technology Solutions teams in vetting solution design and delivering business value. Provide technical leadership and mentoring in data engineering and AI best practices. Evaluate and recommend emerging data technologies, AI techniques, and cloud services to enhance business capabilities. Ensure the scalability, performance, and security of data and AI architectures. Establish and maintain architectural standards, including patterns and guidelines for data and AI projects. Create architecture artifacts(concept, system, data architecture) for data and AI projects/initiatives. Create and oversee architecture center of excellence for data and AI area to coach and mentor resources working in this area. Set technical direction, best practices, and coding standards for search engineering across the organization. Review designs, mentor senior and mid-level engineers, and champion architecture decisions aligned with product goals and compliance needs. Own performance, scalability, observability, and reliability of search services in production. Resolving technical problems as they arise. Providing technical guidance and mentorship to junior developers. Continually researching current and emerging technologies and proposing changes where needed. .Assessing the business impact that certain technical choices have. Providing updates to stakeholders on product development processes, costs, and budgets. Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly Work closely with project management teams to successfully monitor progress of initiatives Current understanding of best practices regarding system security measures Positive outlook in meeting challenges and working to a high level Advanced understanding of business analysis techniques and processes Account for possible project challenges on constraints including, risks, time, resources and scope Possesses strong rapid prototyping skills and can quickly translate concepts into working code Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline Participate to both front-end and back-end development using cloud technology. Develop innovative solution using generative AI technologies Define and implement robust software architectures on the cloud, AWS preferred Conduct code reviews to ensure code quality and alignment to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product team, business team, and other key partners. Basic Qualifications: Master’s degree in computer science & engineering preferred with 12-15 years of software development experience OR, Bachelor’s degree in computer science & engineering preferred with 11-15 years of software development experience Minimum of 7 years of professional experience in technology, including at least 3 years in a data architecture and AI solution architect role. Strong expertise in cloud platforms, preferably Azure and GCP, and associated data and AI services. Proven experience in architecting and deploying scalable data solutions, including data lakes, warehouses, and streaming platforms. Working knowledge of tools/technologies like Azure Data Factory, Confluent Kafka, Spark, Databricks, BigQuery and Vertex AI. Deep understanding of AI/ML frameworks and tools such as TensorFlow, PyTorch, Spark ML, or Azure ML. Preferred Qualifications: Programming Languages: Proficiency in multiple languages (e.g., Python, Java,Data bricks, Vertex) is crucial and must Experienced with API integration, serverless, microservices architecture. Proficiency with programming languages like Python, Java, or Scala. Proficiency vAzure Data Factory, Confluent Kafka, Spark, Databricks, BigQuery and Vertex AI. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Spark ML, or Azure ML Solid understanding of data governance, security, privacy, and compliance standards. Exceptional communication, presentation, and stakeholder management skills. Experience working in agile project environments Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Experience with Langchain or llamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

India Information Technology (IT) Group Functions Job Reference # 323207BR City Hyderabad Job Type Full Time Your role Are you innovative and passionate about building secure and reliable solutions? We are looking for senior hands-on Tech engineers specializing in either DevSecOps, Data Engineering or Full-Stack web development to lead a team of engineers and provide technical direction in building firmwide Data Observability Components on Azure. We are open to adapting the role suited to your career aspirations and skillset. Responsibilities include: Design/document, develop, review, test, release, support Data Observability components/platforms/environments. Initiate Engineering improvements. Contribute to agile ceremonies e.g. daily stand-ups, backlog refinement, iteration planning, iteration reviews, retrospectives. Comply with the firm’s applicable policies and processes. Collaborate with other teams and divisions using Data Observability services, related guilds and other Data Mesh Services teams. Ensure delivery deadlines are met. Point of escalation for the team to ensure the removal of blockers. Provide leadership and training. Your team You will be part of a diverse global team consisting of data scientists, data engineers, full-stack developers, DevSecOps engineers and knowledge engineers within Group CTO working primarily in a local team with some interactions with other teams and divisions. We are providing Data Observability services as part of our firmwide Data Mesh strategy to automate and scale data management to improve time-to-market for data and reduce data downtime. We provide learning opportunities and a varied technology landscape. Technologies include Azure Cloud, AI (ML and GenAI models), web user interface (React), data storage (Postgres), REST APIs, Kafka, Great Expectations, ontology models. Your expertise Experience in the following (or similar transferrable skills): Learning and implementing industry best practices e.g. finding ways to optimize solutions architecture. Track record in innovation showcasing Engineering or related improvements. Leading and creating effective teams Hands-on delivery in any of the following (or related): full-stack web development (e.g. React, APIs), CI/CD pipelines, security risk mitigation, infrastructure as code (e.g. Terraform), monitoring, Azure development using AKS/ACI/ACA, data transformations, Spark, python, database design and development in any database. Agile software practices and tools, performance testing, unit and integration testing. Identifying root-causes and designing and implementing the solution. Managing infrastructure and environments e.g. Kafka, Spark, web servers, databases etc... Collaborating with other teams to achieve common goals Learning and reskilling in new technologies. About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. How we hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Contact Details UBS Business Solutions SA UBS Recruiting Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Job Description We are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team, you will design, build, and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownership—from research notebooks to production APIs—this is your playground. Responsibilities Design & Develop AI Solutions: Lead the design, development, training, and evaluation of machine learning models and AI solutions across various domains to enhance our products and services. Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products, optimize internal processes, and create new value propositions. Model Implementation & Optimization: Implement, optimize, and deploy various machine learning algorithms and deep learning architectures to solve complex problems. Data Management & Engineering: Collaborate with data engineers to ensure robust data collection, preprocessing, feature engineering, and pipeline development for effective model training and performance. Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure, ensuring scalability, reliability, and maintainability. Performance Monitoring & Improvement: Continuously monitor, evaluate, and fine-tune the performance, accuracy, and efficiency of deployed AI/ML models and systems. Research & Innovation: Stay abreast of the latest advancements in AI, ML, and relevant technologies, and propose innovative solutions to push the boundaries of our product capabilities. Testing & Deployment: Participate in the rigorous testing, deployment, and ongoing maintenance of AI/ML solutions in production environments. Qualifications Required Skills & Qualifications: Experience: 2+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles, with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise). Technical Expertise: Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Solid grasp of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures. Demonstrated experience applying machine learning to complex datasets, including structured and unstructured data. Proficient in API design (REST, GraphQL), microservices, and database design (SQL/NoSQL); production experience on at least one major cloud (AWS, Azure, or GCP). Practical knowledge of Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo, or similar). Problem-Solving: Excellent analytical and problem-solving skills, with proven ability to break down complex problems into iterative experiments and devise effective, scalable AI/ML solutions Enthusiasm & Learning: A genuine passion for technology, coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges, conceptualize solutions, and lead ideation and innovation, beyond mere task execution Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related quantitative field. Bonus Points: Domain expertise in EV charging, smart-grid, or energy-management systems. Experience with distributed data technologies (Spark, Flink, Kafka Streams). Contributions to open-source ML projects or peer-reviewed publications. Knowledge of ethical and responsible AI frameworks, including bias detection and model explainability.

We are seeking an experienced Generative AI Developer with strong Python skills and proven hands-on experience building and deploying AI/ML models . In this role, you will work on designing, developing, and deploying innovative Generative AI solutions that create real business impact. You’ll contribute at every stage — from research and prototyping to production deployment. Key Responsibilities: Design, build, and deploy AI/ML models, with a strong focus on Generative AI (e.g., LLMs, diffusion models). Develop robust Python backend services to support AI applications in production. Integrate AI/ML models with scalable APIs and pipelines for real-world use cases. Optimize model performance, accuracy, and inference speed for production workloads. Experiment with model fine-tuning, prompt engineering, and dataset curation. Monitor deployed models and ensure smooth operation and updates. Collaborate with product managers, data scientists, and engineers to translate business needs into AI solutions. Document processes, maintain code quality, and follow best practices for reproducibility and scalability. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or related field. Strong proficiency in Python and relevant frameworks (FastAPI, Flask, Django). Hands-on experience building, training, and deploying AI/ML models into production. Familiarity with Generative AI frameworks (Hugging Face Transformers, LangChain, OpenAI APIs, etc.). Good understanding of NLP, LLMs, and modern AI techniques. Experience with RESTful APIs, cloud services (AWS/GCP/Azure), and CI/CD workflows. Excellent problem-solving, debugging, and troubleshooting skills. Ability to work independently and deliver reliable results on time. Excellent communication and teamwork skills. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Cell phone reimbursement Health insurance Internet reimbursement Leave encashment Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you immediate Joiner? Experience: Python: 3 years (Required) Gen AI: 1 year (Required) Work Location: In person

JOB DESCRIPTION Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. As a Regional Agent Specialist reporting under the Global Agent Specialist within the firmwide CDAO Organization, you will collaborate with regional product managers and client teams to support Agentic development. Your role involves providing expert guidance and empowering clients to implement Agents and create business value. With strong communication and stakeholder management skills, you will cultivate collaborative relationships with Product, Engineering, and Architecture teams across JPM Lines of Business, Corporate Functions, and Internal Fusion Product and Engineering Teams to drive priority outcomes. Job Responsibilities Align your priorities with those of the Global Agent Specialist, establishing effective communication and workflows to regularly update them on progress. Provide technical expertise to empower regional clients to design and implement agent-based solutions. Engage with Global Agent Specialist to understand the client's needs, provide expert guidance to the clients located in the region and ensure successful deployment and integration of agent solutions. Collaborate with regional product and engineering teams to enhance agent capabilities and ensure seamless integration with existing systems and processes. Support Global Agent Specialist to develop best practices for Agentic Systems architecture and integration, including performance monitoring, optimization, and evaluation. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI. Develop prototypes, blueprints, and demos for rolling out education and training across the region. Provide thought leadership and contribute to technical white papers on Agentic implementations. Required Qualifications, capabilities and skills Experience in multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI. Hands-on experience building or using LLM-powered Agentic solutions. Experience in developing, training, and deploying machine learning models, Gen AI models, including knowledge of model evaluation and optimization techniques. Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Experience in Financial Services or other highly regulated industries. Strong foundation in mathematics and statistics, including knowledge of linear algebra, calculus, probability, and statistical methods. Preferred Qualifications, capabilities and skills Experience in financial or banking domain ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Chief of Staff – Founder’s Office **Location:** [3 days office/2 days remote] **Reports to:** Founder & CEO **Function:** Strategy, Product Ops, AI/Creative Tech Initiatives About the Role We are building a next-gen AI platform that transforms how mobile game and app publishers create and scale ad creatives through automation and intelligence. As Chief of Staff to the Founder, you’ll be a strategic partner, execution driver, and product-minded operator helping us scale rapidly across AI, video generation, and advertising. This role is ideal for a high-agency generalist with a strong product background, deep curiosity for AI-driven creative tooling, and an eagerness to operate in zero-to-one environments. Key Responsibilities 🧠 Strategic Planning & Execution - Translate the founder’s vision into actionable OKRs and execution plans across product, GTM, and partnerships - Drive mission-critical cross-functional projects—ranging from AI workflow pilots to enterprise onboarding processes - Serve as a thought partner in identifying and prioritizing new product lines, markets, and tech directions 🛠 Product Strategy & Ops - Work closely with Product, Design, and Engineering to define, track, and optimize internal processes and product experiments - Own GTM readiness for new features and act as an internal "bridge" between customer needs and engineering velocity - Deep-dive into usage data, customer feedback, and competitive benchmarks to drive strategic insights 🤝 Internal Alignment & Communication - Run the weekly leadership cadence and ensure cross-functional accountability - Create clear, data-backed updates for internal teams, founders, and investors - Own internal documentation for strategic initiatives, launches, and key product bets 💡 AI, Video & Ad Tech Special Projects - Manage end-to-end rollout of special projects like AI video editors, audio tagging tools, and MMP/API integrations - Lead pilot engagements with key gaming clients to test new ad formats and creative workflows - Stay ahead of industry trends in generative AI, creative automation, and performance advertising 📊 Investor & External Communication - Support fundraising, investor updates, and external narrative building - Create materials and data rooms for VCs, advisors, and strategic partners - Coordinate external communications on product launches, client case studies, and partnerships What We’re Looking For - 3+ years in product management, founder’s office, consulting, or similar generalist roles - Strong product intuition with experience working on B2B SaaS, creative tools, or AI/ML products - Bonus: background in adtech, gaming, or video creation platforms - Exceptional analytical and storytelling skills – able to distill ambiguity into clarity - Operates with speed, discretion, and a bias for execution - Comfortable in high-context, high-autonomy roles directly supporting founders We're building a high-caliber team and are especially keen to connect with: Why Join Us - Be on the ground floor of an AI startup shaping the future of creative automation - Work directly with the founder and senior leadership on high-impact decisions - Get exposure across product, GTM, partnerships, fundraising, and technology - Fast-track to a leadership role in product, operations, or venture creation Preferred Qualifications: -Alumni of top-tier institutes such as IITs, IIMs, etc. -Prior experience as a founder or in early-stage startups -Experience in fast-paced, VC-funded organizations How to Apply If you're excited about this role and think you're a good fit, we'd love to hear from you. Want to know more? Email us at hr@appbroda.com

We are looking for an experienced Technology Leader with expertise in Industrial Automation to lead the design and implementation of robust testing strategies for various products of Process industry. The ideal candidate will define the testing framework, tools, and methodologies to ensure high reliability, safety, and performance of industrial control systems and software. Key Responsibilities: Define and implement test strategies for various products such Field Instruments, PID controller, GAS Measurement systems, PLC, SCADA and IIoT systems. Collaborate with Product Owners to ensure that requirements are comprehensive and address deployment scenarios, use cases, and the testability of both functional and non-functional requirements. Collaborate with development, systems engineering, and QA teams to ensure test coverage across all stages of the product lifecycle. Evaluate and integrate test tools and platforms suitable for industrial environments. Mentor QA engineers and promote best practices in test automation and validation. Drive continuous improvement in test processes, metrics, and reporting. Required Qualifications: Bachelor’s or Master’s degree in Instrumentation Engineering, Electrical & Communication Engineering or related field. 9+ years of experience in testing industrial automation systems, with at least 3 years in a test architect or lead role. Experienced with commissioning and maintenance in process industries like petroleum, power, pharmaceuticals etc. Strong knowledge of industrial protocols (Modbus, OPC UA, Profibus, Profinet, EIP, HART), and embedded systems testing. Experience with test automation tools (e.g., NI TestStand, LabVIEW, Selenium, Python-based frameworks). Familiarity with safety-critical systems and functional safety standards. Excellent analytical, communication, and leadership skills. Sound Knowledge on Basics of instrumentation w.r.t Temperature, pressure, Flow, Level, Gas sensing, Primary Elements , Control valves and Proportional control valves. Preferred Qualifications: Certifications in TÜV Functional Safety, or equivalent. Experience with CI/CD pipelines and DevOps practices in industrial environments. Knowledge of AI/ML-based testing or predictive analytics in automation. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Overview: Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of LATAM. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center o Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions o Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio o Support LATAM region’s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets o Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. o Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. o Forecast market growth leveraging (PGM – an internal tool) on an annual basis to inform PEP’s long-term expectations for growth o Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies o Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in LATAM and region offices o Own flawless execution of analytics exercises o Responsible for managing multiple priorities; being able to manage deadlines and deliverables o Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects o Deliver outputs in line with the agreed timelines and formats o Flag and monitor any business risks related to delivering the requested outputs o Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations o Improve existing processes based on frequent Business Partner & end-user feedback loop Qualifications: 6+ years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least Hands on in MS excel(advanced) and SQL Understanding of data structures, adept in data cleaning, structure, and aggregation as per need End-to-end project management. Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. Ability to design model architecture and translate business problem into analytical problem Ability to visualize data set and identify KPIs that will help decision making. Good PowerPoint skills. Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As Data Platform - AI Tech Lead, you will be responsible for leading the design, development, and implementation of AI-driven systems while overseeing the integration with Snowflake data warehousing solutions. You will provide technical leadership, mentorship, and guidance to the engineering team, ensuring the successful execution of projects and initiatives. The ideal candidate is a strategic thinker, sharp problem-solver, and possesses a deep understanding of AI technologies and ML engineering to build high-performance solutions. Key Responsibilities Lead the design and architecture of AI-driven solutions, including prompt generation strategies and integration with Snowflake data warehouses Have end-end ownership on all aspects of the solution, development and optimization of AI solution design and algorithms, ensuring high-quality outputs and scalability Lead and implement the end-end solution, keeping maintenance of process, automation, and data solutions for data platform and analysis with various tools and libraries Provide technical leadership and solution options from engineering point of view, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to define project requirements and deliverables Conduct code reviews, performance evaluations, and provide constructive feedback to team members to drive excellence and growth. Stay abreast of emerging technologies and industry trends, incorporating best practices and innovative approaches into our technical solutions. Worked in the agile dev life cycle and understands best practices for software development and project management. Qualifications To be successful in this role you have: 8+ years of total experience with Bachelor's degree in Computer Science, Engineering, or related field Extensive experience with AI/ML technologies and frameworks, such as Agentic AI, MCP, LLMs, ML algorithms, Deep learning understanding Advanced level hands on experience with Py, Snowflake, thorough working experience with AI and GenAI models and libraries Stay abreast and ability to apply the latest developments in Agentic AI and LLM ecosystem with the tools and tech Expertise in SQL programming, with the ability to write complex queries and optimize database performance Proficiency in Snowflake data warehousing solutions, including data design, performance optimization etc Proven experience as a technical lead with a strong track record of leading successful AI and data engineering projects Strong leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Strategic thinking and problem-solving abilities, with a keen attention to detail and quality. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities and deadlines effectively Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Job Information Date Opened 07/31/2025 Job Type Full time Work Experience 5+ years Industry Technology City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : Join one of the world’s largest and most innovative Media & Entertainment companies as a QA Engineer - AI/ML , where you’ll ensure the quality and reliability of cutting-edge AI and machine learning solutions that are transforming the industry. Our AI/ML-powered systems play a crucial role in optimizing content production, personalization, and consumer engagement, and your contributions will be instrumental in delivering seamless, scalable, and efficient solutions to our global audience. As a QA Engineer specializing in AI/ML, you’ll work closely with data scientists, software engineers, and product teams to rigorously test AI models, data pipelines, and machine learning platforms. Your role will involve defining and implementing robust quality assurance practices for complex AI systems, ensuring they meet the highest standards of performance, scalability, and security. If you are passionate about AI, testing, and driving quality excellence in a dynamic environment, this is your opportunity to make an impact. 1. Quality Assurance for AI/ML Models and Pipelines Develop and execute comprehensive test plans, test cases, and test scripts to validate AI/ML models and data pipelines. Perform rigorous testing of machine learning models to ensure accuracy, reliability, and robustness under various scenarios. Validate data preprocessing, feature engineering, and model training pipelines for correctness and consistency. Identify and address performance bottlenecks in AI systems, ensuring scalability for large datasets and real-time applications. Collaborate with data scientists to validate model outputs and metrics against business requirements. 2. Automation Testing and Tool Development Design and implement automated test frameworks and tools tailored for AI/ML workflows. Automate testing of model deployments, APIs, and data pipelines using industry-standard tools and frameworks. Create scripts to simulate edge cases, stress conditions, and user interactions for AI systems. Build monitoring tools to assess AI model drift, data inconsistencies, and system performance post-deployment. Continuously enhance automation coverage and testing efficiency through innovative practices. 3. Collaboration and Cross-Functional Engagement Work closely with software engineers, data engineers, and product managers to align QA strategies with project goals. Participate in code reviews, design discussions, and sprint planning to incorporate QA perspectives early in the development lifecycle. Provide actionable feedback and insights to development teams to resolve issues and improve system quality. Support end-to-end integration testing of AI/ML solutions across multiple platforms and systems. Act as a quality advocate, promoting best practices for testing and validation within the organization. 4. Governance, Compliance, and Reporting Ensure compliance with data privacy, security, and ethical AI standards during testing and deployment. Develop and maintain comprehensive documentation for QA processes, test cases, and system validations. Monitor and report on key QA metrics, including defect rates, coverage, and system reliability. Support regulatory audits and reviews by providing required testing documentation and evidence. Stay up-to-date with industry trends, tools, and practices in QA for AI/ML systems. 5. Continuous Improvement and Innovation Research and adopt emerging technologies and frameworks for AI/ML testing and validation. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of QA processes. Proactively identify and resolve quality gaps in AI/ML workflows, ensuring a seamless user experience. Contribute to building a culture of quality and accountability within the AI/ML team. Mentor junior team members on QA best practices and technical skills. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. Certifications in software testing (e.g., ISTQB, CSTE) or machine learning (e.g., AWS ML, TensorFlow Developer) are a plus. Professional Experience: 3 + years of experience in QA engineering, with at least 1 + years focused on testing AI/ML systems. Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions. Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing. Technical Skills: Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications. Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi. Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark). Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services. Other Skills: Strong analytical and problem-solving skills, with a detail-oriented approach. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team. Passion for quality and a commitment to delivering exceptional results. Ability to adapt to a fast-paced and dynamic environment while maintaining a focus on continuous improvement. Self-motivated and proactive, with a drive to stay updated on industry trends and best practices. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Title: Python + AWS Developer Exp: 6+ Yrs Mandatory Skills: Python, AWS Services, Git, Understanding of ML Job Description: We are seeking an experienced and highly skilled Python + AWS Developer with 6+ years of hands-on experience in building and deploying scalable solutions using Python and AWS services. The ideal candidate should be proficient with version control systems like Git, have familiarity with GitDuo (preferred), and possess a foundational understanding of Machine Learning concepts. Key Responsibilities: Develop and maintain backend applications and services using Python Design and implement scalable, secure, and resilient cloud-based solutions using AWS Collaborate with cross-functional teams to define, design, and ship new features Work with version control tools, primarily Git, for code collaboration and management Participate in code reviews, performance tuning, and continuous improvement efforts Troubleshoot and resolve production issues in a timely manner Apply basic ML knowledge to integrate and work with ML-based services and workflows (where applicable). Required Skills: Strong hands-on experience in Python programming. Deep understanding and working experience with AWS Services such as EC2, Lambda, S3, API Gateway, CloudWatch, etc Good understanding of Git for version control Familiarity with GitDuo is an added advantage Basic understanding of Machine Learning concepts and workflows Excellent problem-solving skills and attention to detail Strong communication and collaboration abilities.