software engineer

consultant-machine learning Jobs in Hyderabad

consultant-machine learning

data engineer ii

data engineer, specialist Jobs in Hyderabad

data engineer, specialist

engineering  manager-ai/ml Jobs in Hyderabad

engineering  manager-ai/ml

deep learning engineer

Microsoft

<div>
 The Microsoft CoreAI Post-Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development.
 
 
 The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models. The team has also produced publications as by-products, including work such as LoRA, DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models.
 
 
 We are looking for a Software Engineer 2 - Machine Learning with significant experience in large-scale model training, data curation, and hands-on coding. You will help in developing LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference.
 
 
 Our team values startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write high-quality code and debug complex systems, document their work clearly, and demonstrate solid experience in shipping ML systems.
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models.
 </li>
 <li>
 Contribute to the deployment and monitoring of models in production environments.
 </li>
 <li>
 Write clean, efficient, and maintainable code for ML systems.
 </li>
 <li>
 Help improve inference performance, reliability, and scalability.
 </li>
 <li>
 Participate in rapid experimentation cycles and support integration with Microsoft products.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 3+ years of professional experience, including 2+ years with Python and ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with training or fine-tuning LLMs or multimodal models.
 </li>
 <li>
 Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.
 </li>
 <li>
 Understanding of distributed systems and cloud-based infrastructure.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with containerization tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment).
 </li>
 <li>
 Interest in generative AI and open-source model ecosystems.
 </li>
 <li>
 Ability to work in a fast-paced, collaborative environment with a growth mindset.
 </li>
 <li>
 Strong communication and documentation skills.
 
 
 </li>
 </ul>
 #aip #aiplatform #aipidc
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer 2 – Machine Learning

Dr. Reddy's Laboratories

<div>
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data.
 </li>
 <li>
 Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points.
 </li>
 <li>
 Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency.
 </li>
 <li>
 Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams.
 </li>
 <li>
 Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock).
 </li>
 </ul>
 
 
 
 
 
 Technical &amp; Functional Skills:
 
 
 <ul>
 <li>
 6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain.
 </li>
 <li>
 Strong demand forecasting expertise- Time series, machine learning and deep learning models.
 </li>
 <li>
 Strong programming in Python, SQL; familiarity with GCP or Azure.
 </li>
 <li>
 Deep knowledge of supply chain processes - production planning, inventory management, and logistics.
 </li>
 <li>
 Experience with simulation tools (e.g. Arena) is a plus.
 </li>
 <li>
 Ability to communicate complex models to non-technical stakeholders and influence decision-making.
 </li>
 <li>
 Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization.
 </li>
 </ul>
 
 
 
 
 
 About the Department | Digital Process and Excellence (DPEx):
 
 
 
 Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.
 
 
 With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.
 
 
 
 
 
 Some its priorities are:
 
 <ul>
 <li>
 Reimagine Dr. Reddy&rsquo;s as a &lsquo;platform-based&rsquo; organization.
 </li>
 <li>
 Create Data as an asset that brings competitive advantage and business impact.
 </li>
 <li>
 Create Digital solutions that make the lives of our patients and customers easier and better.
 </li>
 </ul>
</div>

Lead Data Scientist - Forecasting & Supply Chain

Egen

<div>
 
 Job Description :
 
 
 
 We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.
 
 
 You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.
 
 
 
 What we're looking for:
 
 
 
 <ul>
 <li>
 At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production
 </li>
 <li>
 At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers
 </li>
 <li>
 At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)
 </li>
 <li>
 Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI
 </li>
 <li>
 Design, develop, and operationalize existing ML models by fine tuning, personalizing it
 </li>
 <li>
 Evaluate machine learning models and perform necessary tuning
 </li>
 <li>
 Develop prompts that instruct LLM to generate relevant and accurate responses
 </li>
 <li>
 Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation
 </li>
 <li>
 Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance
 </li>
 <li>
 Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies
 </li>
 <li>
 Hands on customer experience with RAG solution or fine tuning of LLM model
 </li>
 <li>
 Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools
 </li>
 <li>
 Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment
 </li>
 <li>
 Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving
 </li>
 <li>
 Proven experience building and deploying machine learning models in production environments for real life applications
 </li>
 <li>
 Good understanding of natural language processing, computer vision or other deep learning techniques
 </li>
 <li>
 Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain)
 </li>
 <li>
 Familiarity with Google Cloud or any other Cloud Platform and its machine learning services
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent
 </li>
 <li>
 Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure
 </li>
 <li>
 Experience with AutoML and vision techniques
 </li>
 <li>
 Master&rsquo;s degree in statistics, machine learning or related fields
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Engineering  Manager-AI/ML

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As a Quality Engineer/tester work with client and IBM stakeholders to identify various business controls for client and work with respective IBM and client to ensure successful implementation of controls identified.
 </li>
 <li>
 Your primary responsibilities include:
 </li>
 <li>
 Software Tester at AT&amp;T for BGW IOT - Microservices and Databricks; Production Support
 </li>
 <li>
 Analyze test specifications and convert them into Manual/Auto Test Cases.
 </li>
 <li>
 Identify the initial setup, input data, appropriate steps, and the expected response in the manual test cases.
 </li>
 <li>
 Conduct sanity testing of the application based on user requirements.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Hands-on experience on API testing using POSTMAN/SOAP-UI, ELT testing with Databricks and MySQL
 </li>
 <li>
 Expertise in Test management, data management, defect management and hands-on exp on Agile methodology including tools like JIRA, ADO, iTrack
 </li>
 <li>
 Sound knowledge on Telecom Domain and billing system.
 </li>
 <li>
 Hands-on experiences on handling production support especially the reporting system.
 </li>
 <li>
 Experience on Kubernetes for validation and analysis of logs/data
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Automation testing using TOSCA.
 </li>
 <li>
 Experience on writing complex SQL queries.
 </li>
 <li>
 Support, coordination, and responsibility of the testing activities across shores
 </li>
 </ul>
</div>

Quality Engineer-Functional

Movate

<div>
 
 We are looking for enthusiastic
 
 Tech Support / Help Desk Engineers
 
 to join our team in
 
 Hyderabad
 
 .
 
 
 📌 Open Positions
 
 <ul>
 <li>
 
 Engineer
 
 : 1&ndash;5 years experience |
 
 50 openings
 
 |
 
 CTC: 3 &ndash; 6.5 LPA
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Service desk Support Engineer | Job Description
 
 
 
 
 
 
 
 Summary :
 
 
 
 
 Highly Proficient in Spoken &amp; Written English (B1 CEFR level). Mid Level troubleshooting skills with the ability to identify and resolve tech problems, by following readily available instructions &amp; should possess an ability to dive deep into KBs as well as SOPs and come up with solutions to the issue presented.
 
 
 
 
 Candidates must demonstrate advanced proficiency in both verbal and written English, allowing them to:
 
 
 <ul>
 <li>
 
 Handle Complexity: Express themselves fluently, spontaneously, and effectively in complex troubleshooting scenarios.
 
 </li>
 <li>
 
 Adapt Communication: Communicate clearly and persuasively, adapting language to be easily understood by both technical and non-technical stakeholders.
 
 </li>
 <li>
 
 Produce Clear Documentation: Write clear, well-structured emails, documentation, and case notes on complex technical subjects.
 
 </li>
 </ul>
 
 
 This role requires an individual with excellent problem-solving abilities coupled with a strong customer service orientation, and the capacity to manage multiple issues in a fast-paced environment as well the ability to communicate effectively with both technical and non-technical customers.
 
 
 
 You will be employed with Movate Technologies on issues faced by the users, doing the below responsibilities, but not limited to -
 
 <ul>
 <li>
 Provide world class remote assistance to users via Chat, Phone and eMail
 </li>
 <li>
 Assists users by remote troubleshooting and resolving technical and service issues.
 </li>
 <li>
 Performs tasks according to standardized policies, requiring basic analytical and cognitive skills to address technical issues.
 </li>
 </ul>
 
 
 Principle duties and responsibilities | Job Description :
 
 
 <ul>
 <li>
 
 Provides comprehensive remote support across major operating systems -
 
 </li>
 <li>
 Chrome OS, Mac OS, Windows, Linux by utilizing readily available basic OS troubleshooting techniques.
 </li>
 <li>
 Follow documented procedures for issues presented and escalate further if need be.
 </li>
 <li>
 
 Has the ability to troubleshoot by -
 
 </li>
 <li>
 Problem Isolation - The engineer should be able to identify if the presented issue is due to hardware, software, network, or user-related, and systematically narrowing down the root cause.
 </li>
 <li>
 Employ advanced troubleshooting techniques to diagnose and resolve problems efficiently by searching in SOPs and KBs
 </li>
 <li>
 Diagnose hardware-related issues with desktops, laptops, printers, and peripherals, including recommending escalations to different internal departments and replacements when necessary.
 </li>
 <li>
 Assist in setting up, configuring, and installing new software and hardware.
 </li>
 <li>
 Document issues, resolutions, and troubleshooting steps for knowledge sharing and future reference.
 </li>
 <li>
 Communicate effectively with non-technical users to explain solutions in an understandable manner.
 </li>
 <li>
 Collaborate with cross-functional teams to escalate and resolve incidents.
 </li>
 <li>
 Support &amp; Execute the deployment and integration of new SOPs and change in systems.
 </li>
 </ul>
 
 
 Must Have Skills :
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills with a focus on mid-level troubleshooting.
 </li>
 <li>
 2 - 3 years of IT related Customer Service experience
 </li>
 <li>
 Excellent communication skills, should be able to hold a conversation
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 <li>
 Ability to deal professionally as well as ability to learn new products and technologies
 </li>
 <li>
 Good customer service skills, multitasking and documentation skills
 </li>
 <li>
 Ability to adjust quickly to the changing priorities and implement the same per business requirements
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills and Abilities :
 
 
 
 
 
 <ul>
 <li>
 Ability to analyze and solve technical problems by investigating potential solutions using troubleshooting skills
 </li>
 <li>
 Good Analytical &amp; Cognitive skills
 </li>
 </ul>
 
 
</div>

Technical Support Engineer - Immediate Joiner only

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

Capgemini

<div>
 
 Capgemini is on the lookout for an experienced Senior Quality Engineer to join our dynamic team focused on AI Solutions and Performance Testing.
 
 
 
 Our client, a leading player in the insurance sector with gross written premiums exceeding US$25 Billion, provides top-tier insurance and financial services to millions of households across the U.S. This role presents an exciting opportunity to work with cutting-edge AI technology in quality assurance, ensuring that our client delivers the best possible products to its users.
 
 
 As a Senior Quality Engineer, you will be pivotal in designing, implementing, and executing automated and performance testing strategies. Your expertise in AI technologies will work in concert with traditional testing methodologies, driving excellence in quality assurance across various applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and execute automated test scripts to validate AI-driven solutions using tools like Selenium and Playwright
 </li>
 <li>
 Design and implement comprehensive performance testing strategies leveraging tools such as JMeter and LoadRunner
 </li>
 <li>
 Create and manage test documentation including test plans, test cases, and test scripts
 </li>
 <li>
 Conduct API testing (REST/SOAP) and verify database functionalities against standards
 </li>
 <li>
 Facilitate continuous integration and continuous delivery (CI/CD) environments
 </li>
 <li>
 Collaborate effectively with project teams to identify and resolve defects
 </li>
 <li>
 Stay abreast of trends and innovations in AI and testing methodologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills :
 
 
 
 Load Runner/Jmeter - Intermediate
 
 
 Dynatrace, AppDynamics or any APM tools - Intermediate
 
 
 Programming skills in Python, Java - Intermediate
 
 
 API testing (REST/SOAP, JSON, XML, MQ) - Entry Level
 
 
 Selenium, Playright and Appium - Entry Level
 
 
 English Proficiency
 
 : Fluent
 
 
 
 Required Branch(es) of study
 
 
 
 Bachelor's degree in computer science, or Information Systems
 
 
 
 
 Benefits
 
 
 
 Competitive compensation and benefits package:
 
 
 <ul>
 <li>
 Competitive salary and performance-based bonuses
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Career development and training opportunities
 </li>
 <li>
 Flexible work arrangements (remote and/or office-based)
 </li>
 <li>
 Dynamic and inclusive work culture within a globally renowned group
 </li>
 <li>
 Private Health Insurance
 </li>
 <li>
 Pension Plan
 </li>
 <li>
 Paid Time Off
 </li>
 <li>
 Training &amp; Development
 
 
 </li>
 </ul>
 Note: Benefits differ based on employee level.
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group &euro;22.5 billion in revenues in 2023.
 
 
 https://www.capgemini.com/us-en/about-us/who-we-are/
</div>

Senior Quality Engineer - AI Solution and Performance Testing

Explore 129+ Deep learning engineer in Hyderabad this November. Find roles across top companies and apply now to boost your career.