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applied ai engineer - software engineer ii Jobs in Hyderabad

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automation software engineer

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Applied AI Engineer II
 
 
 Role Overview: As a n Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte &rsquo; s product and AI investments. You will leverage your engineering craftsmanship across full-stack software engineering and modern frameworks&mdash;together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver&mdash;consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions . The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and ship products end to end, from concept through production .
 
 
 Key Responsibilities:
 
 
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 Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes&mdash;and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build .
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 Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Participate in requirement analysis, component design, development, testing, integrations, and support.
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 Engineering Craftsmanship: Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations . Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. C reate technical specifications, and write high-quality, supportable , scalable code ensuring all quality KPIs are met or exceeded . Demonstrate collaborative skills to work effectively with diverse teams.
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 Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
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 Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
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 Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
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 Advanced Technical Proficiency: Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through S SDLC lifecycle . Learn to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
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 Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
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 Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
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 Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
 
 
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 The team:  US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte&rsquo;s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte&rsquo;s success. It is the engine that drives Deloitte, serving many of the world&rsquo;s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
 
 
 The successful candidate will possess:
 
 
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 Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
 
 
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 Required Qualifications:
 
 
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 A bachelor&rsquo;s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor .
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 3 + years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks .
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 2 + years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration .
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 2 + years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability ) .
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 Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
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 Prior experience using methodologies &amp; tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow , and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly .
 
 
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 Other:
 
 
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 Ability to travel 10%, on average, based on the work you do and products you build.
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 Limited immigration sponsorship may be available. #pxe
 
 
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 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 361557
</div>

Applied AI Engineer - Software Engineer II

Accenture in India

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Machine Learning (ML)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 5 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
 
 
 Summary:
 
 
 These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.
 
 
 Roles &amp; Responsibilities:
 
 
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 Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
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 Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
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 Optimizing existing generative AI models for improved performance, scalability, and efficiency.
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 Ensure data quality and accuracy
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 Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
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 Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.
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 Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers
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 Experience working with cloud based platforms (example: AWS, Azure or related)
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 Strong problem-solving and analytical skills
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 Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI
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 Prior statistical modelling experience
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 Demonstrable experience with deep learning algorithms and neural networks
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 Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
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 Contributing to the establishment of best practices and standards for generative AI development within the organization.
 
 
 
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 Professional &amp; Technical Skills:
 
 
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 Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
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 Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
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 Must have strong knowledge of data structures, algorithms, and software engineering principles.
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 Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
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 Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
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 Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
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 Need to have knowledge of software development methodologies, such as Agile or Scrum.
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 Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
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 strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
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 You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
 
 
 
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 Additional Information:
 
 
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 The candidate should have minimum 7.5 years of experience in Machine Learning.
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 This position is based at our Hyderabad office.
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 A 15 years full time education is required.
 
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</div>

AI / ML Engineer

Qureos

<h2>About the Role  </h2>We are looking for an experienced DevOps Engineer to design, implement, and maintain the infrastructure that powers our applications and services. You will work closely with our development, QA, and IT teams to automate and streamline operations, monitor system performance, and ensure the reliability of our deployments.This is a great opportunity for a hands-on engineer who wants to own cloud infrastructure end-to-end and help scale a growing platform in India.  <h2>Key Responsibilities  </h2>Infrastructure Management<ul><li>Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).</li><li>Implement and maintain scalable container orchestration using Docker and Kubernetes.</li></ul>CI/CD Pipeline<ul><li>Develop and maintain CI/CD pipelines to automate testing, building, and deployment using GitHub Actions and Google Cloud Run.</li><li>Collaborate with development teams to integrate new features into the CI/CD process.</li></ul>Monitoring and Logging<ul><li>Set up and manage monitoring, logging, and alerting systems using tools such as Elasticsearch, Kibana, Prometheus, and New Relic.</li><li>Ensure system reliability, performance, and availability through proactive monitoring and incident response.</li></ul>Database Management<ul><li>Administer and optimize MongoDB instances, ensuring data integrity, performance, and security.</li><li>Implement backup, recovery, and disaster recovery strategies for MongoDB and other databases.</li></ul>Security and Compliance<ul><li>Implement security best practices across infrastructure, applications, and data.</li><li>Ensure compliance with applicable Indian data protection and security regulations, as well as internal policies.</li></ul>Automation and Scripting<ul><li>Automate infrastructure provisioning, configuration management, and system operations using GCP services.</li><li>Develop custom scripts to enhance automation and operational efficiency.</li></ul>Collaboration and Support<ul><li>Work closely with development and QA teams to support the software development lifecycle.</li><li>Provide technical guidance and support to resolve infrastructure-related issues.  </li></ul><h2>Qualifications  </h2>Education<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).</li></ul>Experience<ul><li>5+ years of experience as a DevOps Engineer or in a similar role.</li><li>Strong experience with Docker, including container orchestration using Kubernetes.</li><li>Hands-on experience with GCP services, including Compute Engine, Cloud Storage, Cloud Run, and GKE.</li><li>Experience with Elasticsearch for monitoring, logging, and search.</li><li>Proficiency administering and optimizing MongoDB databases.</li></ul>Skills<ul><li>Strong scripting skills in Python, Bash, or a similar language.</li><li>Proficiency with Infrastructure as Code tools such as Terraform or Ansible.</li><li>Experience with CI/CD tools such as GitHub Actions or CircleCI.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication skills and the ability to work collaboratively across teams, including distributed and international colleagues.</li><li>Must be legally authorized to work in India.  </li></ul><h2>Nice to Have  </h2><ul><li>Experience with additional cloud platforms such as AWS or Azure.</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Certifications in Docker, GCP, or related technologies.  </li></ul><h2>Equal Opportunity  </h2>Qureos is an equal opportunity employer. We welcome applications from all qualified candidates regardless of gender, age, disability, nationality, religion, sexual orientation, or any other characteristic protected under applicable Indian law.

DevOps & Site Reliability Engineer (GCP)

Explore 3+ Automation software engineer in Hyderabad this August. Find roles across top companies and apply now to boost your career.

3 automation software engineer jobs In Hyderabad

Applied AI Engineer - Software Engineer II

AI / ML Engineer

DevOps & Site Reliability Engineer (GCP)