8735 Pytorch Jobs - Page 5

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International’s Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott’s digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents implement existing machine learning models and algorithms to detect anomalies and potential security breaches Support SDL tools (e.g., big data, ML/AI technologies) Create data visualizations and reports to communicate insights to stakeholders Collaborate with cybersecurity teams to implement data-driven security solutions Stay up to date with the latest cyber threats and data science techniques Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R) Experience with machine learning algorithms and frameworks as well as AI techniques Knowledge of cybersecurity principles, tools, and best practices Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies Understanding of data visualization tools like Power BI Preferred: Programming languages: Python, R, SQL Machine learning frameworks: TensorFlow, PyTorch, scikit-learn Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Data visualization tools: Tableau, Power BI Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

Role: Data Scientist Experience Level: • Senior level, with 7+ years of data science experience, including machine learning learning, AI training, and healthcare or 3D modelling projects. Project / Contract Duration: 6+ Months fixed contract. Budget: 1.5 - 2 Lakhs / Month fixed Develop ML models for prosthesis fit optimisation and outcome predictions. Design algorithms and train AI engines for clinical and 3D data processing. Work on AI modelling, simulation-based learning, and advanced analytics. Required Skills: • Python (PyTorch, TensorFlow, Scikit-learn) • Machine Learning and AI model training • Algorithm development for 3D data and clinical insights • 3D data processing (Point Clouds, Open3D) • Statistical Shape Modelling (SSM) • SQL/NoSQL database management

Dear all, We are looking for highly motivated PhD freshers in Data Science, AI/ML, or related disciplines to join our team as AI/ML Research . This role is designed for individuals with a strong academic foundation and hands-on project experience , eager to apply their knowledge in real-world AI and Large Language Model (LLM) applications . Key Responsibilities: Research, design, and implement models in AI/ML/NLP , with a focus on Large Language Models (LLMs) . Collaborate with cross-functional teams to integrate models into production or research pipelines. Contribute to codebases and perform experiments using Python and relevant ML libraries. Develop proof-of-concept (PoC) applications or tools based on self-designed research or side projects. Required Qualifications: PhD (completed) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or related fields. Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow . Practical understanding of foundational ML and deep learning techniques (e.g., regression, classification, transformers, etc.). Experience with LLMs (e.g., GPT, BERT, LLaMA) – either academic research or side projects. Demonstrated ability to build end-to-end AI/ML/NLP projects (e.g., GitHub projects, open-source contributions, thesis work). If you are interested, kindly share your updated CV by emailing it to recruitment.india@maxisit.com.

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 6 years Location: Telangana, Chennai JobType: full-time We are seeking a skilled and motivated Machine Learning Developer to design and implement AI/ML models, contribute to proof-of-concept projects, and collaborate with cross-functional teams to deliver impactful solutions. This role requires a strong foundation in machine learning, Python programming, and cloud technologies, particularly Google Cloud Platform (GCP). Requirements Key Responsibilities: Design, develop, and deploy machine learning and AI models and algorithms tailored to business needs Build and deliver Proof of Concept (POC) applications to showcase the feasibility and value of AI solutions Write clean, maintainable, and well-documented Python code Collaborate with data engineers to ensure high-quality data pipelines for training and evaluation Partner with senior developers to understand project goals and contribute to architectural and technical decisions Debug and optimize machine learning models and related applications Stay current with emerging trends and technologies in AI/ML Use machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development Develop and deploy ML models on Google Cloud Platform (GCP) Apply effective data preprocessing and feature engineering techniques using libraries such as Pandas and NumPy Utilize Vertex AI for end-to-end model training, deployment, and monitoring Integrate Google Gemini for advanced AI features when applicable Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, or a related discipline Minimum of 3 years of experience in designing and implementing AI/ML solutions Proficiency in Python with strong coding practices Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of machine learning algorithms and concepts Ability to work both independently and collaboratively within a team Strong analytical and problem-solving skills Effective verbal and written communication skills Experience with Google Cloud Platform (GCP) is preferred Familiarity with Vertex AI and Google Gemini is an added advantage Key Skills: Machine Learning, Artificial Intelligence, Python, TensorFlow, PyTorch, Scikit-learn, GCP, Vertex AI, Pandas, NumPy, Google Gemini

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 6 years Location: Telangana, Chennai JobType: full-time We are seeking a skilled and motivated Machine Learning Developer to design and implement AI/ML models, contribute to proof-of-concept projects, and collaborate with cross-functional teams to deliver impactful solutions. This role requires a strong foundation in machine learning, Python programming, and cloud technologies, particularly Google Cloud Platform (GCP). Requirements Key Responsibilities: Design, develop, and deploy machine learning and AI models and algorithms tailored to business needs Build and deliver Proof of Concept (POC) applications to showcase the feasibility and value of AI solutions Write clean, maintainable, and well-documented Python code Collaborate with data engineers to ensure high-quality data pipelines for training and evaluation Partner with senior developers to understand project goals and contribute to architectural and technical decisions Debug and optimize machine learning models and related applications Stay current with emerging trends and technologies in AI/ML Use machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development Develop and deploy ML models on Google Cloud Platform (GCP) Apply effective data preprocessing and feature engineering techniques using libraries such as Pandas and NumPy Utilize Vertex AI for end-to-end model training, deployment, and monitoring Integrate Google Gemini for advanced AI features when applicable Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, or a related discipline Minimum of 3 years of experience in designing and implementing AI/ML solutions Proficiency in Python with strong coding practices Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of machine learning algorithms and concepts Ability to work both independently and collaboratively within a team Strong analytical and problem-solving skills Effective verbal and written communication skills Experience with Google Cloud Platform (GCP) is preferred Familiarity with Vertex AI and Google Gemini is an added advantage Key Skills: Machine Learning, Artificial Intelligence, Python, TensorFlow, PyTorch, Scikit-learn, GCP, Vertex AI, Pandas, NumPy, Google Gemini

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.

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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.

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.

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.

Job description: Responsible for designing and building production class deep learning models applied to computer vision problems Drive the development activities in an agile manner.• Guide and mentor junior engineers on the team Key contributor in developing POCs and solutions for new use cases Required skills and experience: 4+ years of hands-on experience in Computer Vision and deep learning Design and development of end-to-end machine learning pipeline including data extraction, automated labeling, training of deep learning model, and deployment Prior experience in taking at least one solution to production from Concept to Deployment Good breadth and depth of knowledge in various deep learning algorithms in the field of Computer Vision Working knowledge in at least one of PyTorch, Caffe, MXNet, Tensorflow etc. Proficient in Python language Hands-on experience in GPU acceleration and system design skills for efficient machine learning pipeline Strong foundation in software engineering with top-notch skills in design patterns, code optimization and debugging Experience working in Linux environment and proficient in state-of-art DevOpspractices/tools Good knowledge of statistics relevant to Deep Learning and ability to use the right statistical measures to assess the model’s performance Awareness of the latest research/advances in the field and ability to apply them• Drive to address complex problems with technical solutions that work Ability to manage multiple priorities in a fast-paced and dynamic work environment Job Types: Full-time, Permanent Pay: ₹244,343.11 - ₹2,058,079.18 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: total work: 4 years (Required) Work Location: In person

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.

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.

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.

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.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Role : AI Engineer Location : Banglore, Hyderabad Experience : 3+ years Employment Type : Longterm contract role Work Mode : Initially it is Remote, After as per client requirement you have work in Client location Job Description : LLM Applied AI & Generative AI (Gen AI) This role combines expertise in Large Language Models (LLMs) with Generative AI (Gen AI) to develop and implement innovative solutions. You'll be at the forefront of AI technology, applying your skills to real-world problems. Here's a breakdown of the typical responsibilities: Research and Development Conduct research to push the boundaries of LLMs and Gen AI Design and implement algorithms for LLM training and Gen AI tasks Stay up-to-date on the latest advancements in LLM and Gen AI research Prompt Engineering and Prompt chains Fine-tune LLM models for specific applications Develop and integrate Gen AI models into various applications Optimize models for performance, scalability, and efficiency Deploy models into production environments Applications and Use Cases Identify and develop solutions using LLMs and Gen AI for real-world challenges Collaborate with cross-functional teams (e.g., engineers, product managers) to integrate LLM/Gen AI solutions Design and conduct proof-of-concept (POC) projects to demonstrate feasibility Minimum Qualifications Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience. Experience with LLM/Gen AI frameworks, libraries like LangChain and tools Understanding of machine learning concepts and best practices Programming experience with Python Familiarity with Applied AI use cases and solutions Excellent communication and collaboration skills Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. This is a rapidly evolving field, so the specific requirements may vary. But if you're passionate about AI and eager to apply it to solve real problems, then an LLM Applied AI & Gen AI role could be a great fit for you. Job Type: Contractual / Temporary Contract length: 12 months Benefits: Provident Fund Schedule: Day shift Work Location: In person

DESCRIPTION We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. communication and collaboration skills to effectively work with cross-functional teams. PREFERRED QUALIFICATIONS Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Data Science

Job Description: Designation: Senior Full Stack Developer (Python+ Angular + GCP/AWS/Azure) Qualification: Any UG / PG Degree / Computer / Engineering Graduates Experience: Min. 5+ Years Gender: Male / Female Job Location: Trivandrum / Kochi (KERALA) Job Type: Full Time | Day Shift | Permanent Job | Sat & Sun Week Off Working Time: 12:01 PM to 9:00 PM Project: European client | Shift: Mid Shift (12:01PM TO 9:00PM) | WFO Salary: Rs.15,00,000 to 20,00,000 LPA Introduction We are looking for a Senior Full stack (Python & Angular) Developer who will take ownership of building and maintaining complex backend systems, APIs, and applications using Python and for frontend with Angular Js. Profiles with BFSI - Payment system integrations experience is desired. Responsibilities include: Design, develop, and maintain backend applications, APIs, and services using Python. Write clean, maintainable, and scalable code following industry standards and best practices. Optimize application performance and ensure high availability and scalability. Review code and mentor junior developers to ensure code quality and foster knowledge sharing. Implement unit and integration tests to ensure application robustness. Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI . Collaborate with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP). Design and build cloud-native applications using APIs, containers, and Kubernetes. Leverage GCP services to develop scalable and efficient solutions. Ensure application security, manage access controls, and comply with data privacy regulations. Work closely with frontend developers, DevOps engineers, and product managers for seamless project delivery. Design, manage, and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB). Monitor application performance using tools like Prometheus, Grafana, or Datadog. Build dynamic, responsive UIs using Angular and JavaScript . Develop and maintain reusable Angular components in collaboration with UX/UI teams . Primary Skills: 5+ years of experience as a Python developer, with a focus on Product development (BE+FE development). Hands on experience in Angular Js. Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. Python- FastAPI (Flask/Django) API Development (RESTful Services) Cloud Platforms – Google Cloud Platform (GCP)prefferd. Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI Frontend Development – JavaScript, Angular Code Versioning – Git Testing – Unit & Integration Testing Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. Secondary Skills: Monitoring Tools – Prometheus, Grafana, Datadog Security and Compliance Standards – GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components Experience with asynchronous programming (e.g., asyncio, Aiohttp). Experience with big data technologies like Spark or Hadoop. Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Role : Sr Full Stack Developer (Python+ Angular + GCP/AWS/Azure ) Location : 100% Remote Experience: 5-7 Years Job Type: Contract Contract Duration: 6 months Cost: Upto 90k per month Working Hours:- 12:00 PM to 09:00 PM IST. PRIMARY SKILLS: ➢ Bachelor//'s or Master//'s degree in Computer Science, Information Technology, or a related field. ➢ 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). ➢ Hands on experience in Angular Js. ➢ Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. ➢ Python- FastAPI (Flask/Django) ➢ API Development (RESTful Services) Cloud Platforms – Google Cloud Platform (GCP)prefferd. Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI Frontend Development – JavaScript, Angular Code Versioning – Git Testing – Unit & Integration Testing ➢ Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. SECONDARY SKILLS(IF ANY): ➢ Monitoring Tools – Prometheus, Grafana, Datadog Security and Compliance Standards – GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components ➢ Experience with asynchronous programming (e.g., asyncio, Aiohttp). ➢ Experience with big data technologies like Spark or Hadoop. ➢ Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plu

Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Job Type: Full-time Work Location: In person

AI Learning Experience Designer As an AI Learning Experience Designer (ID/LED), you will be responsible for designing and contextualizing cutting-edge, instructor-led AI training programs for both technical and non-technical audiences. You will collaborate with subject matter experts (SMEs), instructional designers, and product managers to create engaging, outcome-driven learning experiences that help learners grasp, apply, and innovate with AI technologies. Terms and Details: ● This is a flexible, contractor position on a per-project basis ● We would expect someone to provide at least 15-20 hours per week when on a project ● This role will be 100% remote Requirements: ● Has created content for an instructor-led program that focuses on AI concepts. ● Background in a client-facing role, either supporting or managing, is highly desirable ● Experience collaborating with AI subject matter experts to translate complex concepts into structured, engaging learning experiences. ● 7+ years of instructional design or learning experience design with a focus on AI, data science, or emerging technologies. ● Knowledge of instructional design methodologies, including Bloom’s Taxonomy, ADDIE, and experiential learning models. ● Strong knowledge of AI concepts such as machine learning, large language models (LLMs), neural networks, and ethical AI considerations. ● Thrives working in fast-paced, dynamic environments. ● Familiarity with Google Suite, and LMS content management and authoring tools. ● Willingness to flex your schedule to join meetings in different time zones, particularly in the United States and Europe, Middle East, and Asia. Nice to Have: ● Technical proficiency in AI and coding (Python, TensorFlow, PyTorch, or similar AI frameworks). Including knowledge of GitHub. ● Familiarity with Virtual Machines (VM) ● Hands-on experience developing AI training labs, coding exercises, or real-world AI case studies. Key Responsibilities: Discovery ● Work with leading LED or project managers to define key skills, competencies, learning objectives and pathways within the discipline. ● Support sales teams or product teams in identifying client and learner needs and goals and proposing learning solutions. Design & Development ● Follow our client's design and development standards, best practices, and processes for core and customized curriculum, materials, and assets. ● Design and develop AI-focused learning experiences that cater to learners at varying levels of expertise and technical proficiency. ● Create instructor-led training materials (slides, hands-on labs, case studies, assessments) aligned with best practices in AI education. ● Partner with AI subject matter experts (SMEs) to design practical, interactive exercises, such as coding challenges, AI model-building workshops, and ethical AI decision-making scenarios. ● Curate and contextualize existing AI content to align with emerging industry trends, ensuring materials are always relevant and up to date. ● Design structured learning pathways for AI skills development, from foundational AI literacy to advanced deep learning applications. ● Work with vendors, contractors and freelancers in content, assessment, and support material production. Delivery ● Develop instructor enablement materials to support live classroom training delivery (e.g., facilitator guides, learner workbooks, real-world case studies). ● Provide guidance to instructors on best practices for AI education, including effective strategies for live coding demonstrations, interactive discussions, and problem-solving activities. ● Work closely with instructors, learning facilitators, and client teams to tailor learning programs for diverse audiences, including enterprise clients, startups, and government organizations. ● Collect, synthesize and analyze data on learning impact for continuous improvement, refinement, and content updating. ● Where applicable, work with translation vendors in the localization of content. Productization ● Work with product management and learning teams to standardize patterns and components for base curricular products. ● Work with product management and learning teams to build out the library of product components, exemplars, and documentation.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. 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.