Urwah Admin

Infosys

<div><b>In the assigned Job Role of Package Consultant 3, your Area Of Responsibility will be as below:</b><br>
<ul><li>Analyze complex business processes to identify optimization opportunities and draft detailed requirement specifications that align with enterprise architecture standards
</li><li>Define and develop solution architecture, steering customization and integration efforts based on thorough business analysis
</li><li>Design and implement advanced customizations basis ERP platform's capabilities and limitations and develop critical software applications in collaboration with the development team
</li><li>Develop and implement complex integration workflows to connect the ERP system with external applications, while leading large-scale data migration strategies to ensure data integrity
</li><li>Implement advanced performance optimization strategies focused on scalability, reliability, and user experience, while leading compliance initiatives throughs audits, to uphold security protocols and industry standards
</li><li>Develop detailed documentation for complex ERP customizations and lead training workshops tailored to various user groups, to ensure effective knowledge transfer</li></ul><br>
<b>
Your contribution to the team:</b><br>
<ul><li>Expertise in ERP systems, architecture, and advanced customization techniques
</li><li>Ability to design complex integration solutions and guide large-scale data migrations
</li><li>Proactive problem-solving to streamline complex requirements
</li><li>A strategic mindset to align technical solutions with business goals and market trends.
</li><li>Deep understanding of compliance requirements, security protocols, and performance optimization methodologies
</li><li>Sector specific expertise for high quality project delivery</li></ul></div>

Oracle EPM Cloud Consultant

<div><b>In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:</b><br>
<ul><li>Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
</li><li>Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
</li><li>Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
</li><li>Conduct code reviews, do changes to the codebase and maintain code repositories
</li><li>Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
</li><li>Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
</li><li>Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
</li><li>Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects</li></ul><br>
<b>
Your contribution to the team:</b><br>
<ul><li>A collaborative spirit and excellent communication skills.
</li><li>The ability to handle end to end SDLC phases from requirement gathering to implementation.
</li><li>A knack for translating complex requirements into actionable development tasks.
</li><li>A passion for design and hands-on coding experience
</li><li>A proactive approach to testing, troubleshooting, and refining our applications.
</li><li>The ability to work with cross-functional teams and do software integration.</li></ul></div>

Databricks Data Engineer

<div>Role &ndash; Data Engineer / Tech lead<br>
Technology &ndash; Databricks, Python, MS Azure, DWH, SQL<br>
Location &ndash; Utrecht, Netherlands<br>
Compensation &ndash; Competitive (including bonus)<br>
<br>
Job Description<br>
Technical requirement:<br>
<ul><li>Design and develop scalable data pipelines that ingest, transform, and deliver data from multiple source systems to downstream consumers.</li><li>Work with large and complex datasets using distributed data processing frameworks and cloud-based data platforms.</li><li>Translate business and technical requirements into reliable data solutions that are maintainable, reusable, and production-ready.</li><li>Build data transformation logic for cleansing, standardization, deduplication, enrichment, aggregation, and preparation of analytical datasets.</li><li>Apply sound data engineering principles around modular design, reusability, automation, testing, and operational reliability.</li><li>Handle common real-world data challenges such as late-arriving data, duplicate records, source inconsistencies, schema changes, and reprocessing requirements.</li><li>Improve performance and efficiency of data processing workloads by analyzing bottlenecks and applying appropriate optimization techniques.</li><li>Implement data quality and control mechanisms to ensure accuracy, completeness, traceability, and trust in delivered datasets.</li><li>Collaborate and communicate effectively with architects, analysts, business users, and platform teams to understand requirements, explain technical decisions, and support solution delivery.</li><li>Operate and support production data pipelines, including monitoring, troubleshooting, incident resolution, and continuous improvement.</li></ul><br>
Required<br>
<ul><li>Databricks Handson expertise with consulting level exposure</li><li>Python and Azure</li></ul><br>
Preferred<br>
<ul><li>Good communication skills with stakeholder management skills</li></ul><br>
Personal<br>
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:<br>
<ul><li>High analytical skills</li><li>A high degree of initiative and flexibility</li><li>High customer orientation</li><li>High quality awareness</li><li>Excellent verbal and written communication skills</li></ul><br>
Overview<br>
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.<br>
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.<br>
<br>
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.</div>

Senior Consultant_ Azure Databricks

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>We are seeking a highly skilled Generative AI Engineer with 5 years of software engineering experience and strong expertise in AWS and Azure cloud platforms</li>
<li>The ideal candidate should have hands on experience designing developing deploying and optimizing LLM based applications RAG pipelines AI agents and enterprise grade GenAI solutions</li>
<li>The role requires strong proficiency in Python cloud native development MLOps practices and modern AI frameworks</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Design develop and deploy enterprise scale Generative AI solutions using LLMs and foundation models</li>
<li>Build and optimize Retrieval Augmented Generation RAG pipelines for knowledge based applications</li>
<li>Develop intelligent AI agents and workflows using LangChain LangGraph Semantic Kernel CrewAI or similar frameworks</li>
<li>Integrate GenAI solutions with enterprise systems APIs databases and third party services</li>
<li>Implement prompt engineering prompt tuning and LLM evaluation frameworks</li>
<li>Deploy monitor and scale AI applications on AWS and Azure cloud environments</li>
<li>Design secure and scalable cloud architectures leveraging serverless and containerized services</li>
<li>Implement CI CD pipelines and MLOps best practices for model deployment and lifecycle management</li>
<li>Collaborate with Data Scientists ML Engineers Product Owners and Architects to deliver business focused AI solutions</li>
<li>Monitor model performance latency cost optimization hallucination control and overall system reliability</li>
<li>Stay updated on advancements in LLMs Agentic AI Multi Agent Systems Vector Databases and Cloud AI services</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>GenAI Generative AI LLM RAG LangChain LangGraph Semantic Kernel Agentic AI AI Agents AWS Bedrock Azure OpenAI Azure AI Studio Prompt Engineering Vector Database Pinecone FAISS ChromaDB FastAPI Python AKS EKS Docker Kubernetes MLOps Azure ML OpenSearch Hugging Face</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Experience with multi agent frameworks and autonomous AI workflows</li>
<li>Knowledge of Responsible AI AI Safety and Governance</li>
<li>Familiarity with model monitoring evaluation and feedback loops</li>
<li>Hands on experience in productionizing GenAI applications</li>
<li>Exposure to distributed systems and microservices architecture</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;AI-Data science-&gt;Machine Learning,Technology-&gt;AI-Generative AI-&gt;Generative AI for Data Analytics,Technology-&gt;Artificial Intelligence-&gt;Artificial Intelligence - ALL</div>

Gen Ai Engineer

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>As a Data Scientist you will play a key role in developing and delivering end to end</li>
<li>solutions for AI use cases</li>
<li>By taking up a use case right from the start you will help our</li>
<li>customers define and scope the problem pick the right ML solution and technology as</li>
<li>well as ensure implementation integration and deployment of your solution to</li>
<li>production</li>
<li>You will do so while ensuring that our internal governance processes</li>
<li>technical excellence and best practices are respected</li>
<li>You will also collaborate with</li>
<li>other team members in knowledge sharing as well as continuously improving our way of</li>
<li>working</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Responsibilities</li>
<li>Develop AI applications using state of the art Gen AI technology</li>
<li>Translate business requests into AI applications</li>
<li>Pilot prototypes in production processes to demonstrate their value</li>
<li>Deploy prototypes to production to obtain reliable scalable systems</li>
<li>Present your results in a clear manner and discuss them with multi functional</li>
<li>project teams</li>
<li>Work in close collaboration with business experts e</li>
<li>g</li>
<li>for requirement gathering</li>
<li>data source identification data and process understanding feature engineering</li>
<li>result validation etc</li>
<li>and with other AI engineers in the team e</li>
<li>g</li>
<li>for knowledge</li>
<li>sharing</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Technical skills</li>
<li>Strong expertise in Python</li>
<li>Strong knowledge of state of the art AI and statistical methods</li>
<li>Proven proficiency with deploying scalable AI applications to production</li>
<li>Experience using LLM s and commonly used libraries to interact with LLM s</li>
<li>Langchain Llamaindex</li>
<li>Hands on experience with Azure Cloud and Azure Data AI services</li>
<li>Strong Expertise with version control Git GitHub</li>
<li>Expertise with CI CD pipelines and modern software development best practices</li>
<li>Experience with Agentic AI frameworks Langgraph AutoGen CrewAI is a big</li>
<li>plus</li>
<li>Experience with MLOps tools and frameworks e</li>
<li>g</li>
<li>MLflow Kubeflow TFX is a big</li>
<li>plus</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;AI-Data science-&gt;Data Science - Basic,Technology-&gt;AI-Generative AI-&gt;Generative AI - Basic</div>

Data Scientist

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>We are seeking a highly skilled Computer Vision Engineer with hands on experience in developing and deploying deep learning models for real time image and video analytics</li>
<li>The ideal candidate will have a strong background in computer vision deep learning frameworks and edge deployment technologies</li>
<li>Python Pytorch tensorflow</li>
<li>CV ML model development</li>
<li>Object recognition Detection</li>
<li>NVIDIA technologies</li>
<li>MLOps</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Design train and optimize deep learning models for computer vision tasks such as object detection image recognition segmentation and video analytics</li>
<li>Lead large scale real time implementations involving 100 video streams</li>
<li>Fine tune models like CNNs and Vision Transformers using frameworks such as TensorFlow PyTorch and ONNX</li>
<li>Build and deploy inference pipelines using NVIDIA technologies including NGC models TAO Toolkit DeepStream Metropolis and Triton Server</li>
<li>Apply pre and post processing techniques to enhance model performance and evaluation</li>
<li>Develop and implement multi object tracking algorithms across multiple camera feeds</li>
<li>Perform camera calibration and extract regions of interest ROI action recognition using temporal analysis techniques</li>
<li>Develop models for feature extraction and come up with strategies for latent space analysis and manipulation of the data</li>
<li>Proficiency in writing complex SQL queries familiarity with NoSQL or Graph Databases Neo4j is an advantage</li>
<li>Knowledge of infrastructure as code tools e</li>
<li>g</li>
<li>Terraform Ansible is an advantage</li>
<li>Proficiency with containerization technologies Docker and orchestration tools Kubernetes is an advantage</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Good knowledge on software configuration management systems</li>
<li>Strong business acumen strategy and cross industry thought leadership</li>
<li>Awareness of latest technologies and Industry trends</li>
<li>Logical thinking and problem solving skills along with an ability to collaborate</li>
<li>Two or three industry domain knowledge</li>
<li>Understanding of the financial processes for various types of projects and the various pricing models available</li>
<li>Client Interfacing skills</li>
<li>Knowledge of SDLC and agile methodologies</li>
<li>Project and Team management</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;AI-Data science-&gt;Computer Vision-&gt;Image Video processing,Technology-&gt;AI-Data science-&gt;PYTHON</div>

Computer Vision Engineer

<div>
 <ul>
  <li>
   Primary skills:Domain-&gt;Turbomachinery-&gt;Steam Turbine-&gt;Rotor
   <br/>
   <br/>
  </li>
 </ul>
 Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain data pipelines for training and inference Work on supervised and unsupervised learning algorithms Implement NLP, Computer Vision, or Deep Learning solutions Optimize models for performance, scalability, and accuracy Collaborate with data engineers, analysts, and product teams Deploy models using cloud platforms (AWS/Azure/GCP) Monitor model performance and perform continuous improvements Conduct data preprocessing, feature engineering, and model evaluation Document models, processes, and experiments Required Skills &amp; Qualifications Technical Skills Strong proficiency in Python Experience with Machine Learning libraries: Scikit-learn TensorFlow / PyTorch Knowledge of data manipulation tools (Pandas, NumPy) Experience with ML algorithms (regression, classification, clustering) Familiarity with Deep Learning frameworks Knowledge of NLP or Computer Vision techniques Experience in model deployment (APIs, microservices) Strong understanding of statistics and probability
 <br/>
 <br/>
 Preferred Skills (Nice-to-Have) Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face) Knowledge of MLOps tools (MLflow, Kubeflow, Airflow) Experience with Docker and Kubernetes Familiarity with Big Data tools (Spark, PySpark) Experience with REST APIs and microservices architecture Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI) Understanding of vector databases and embeddings (FAISS, Pinecone) Exposure to CI/CD pipelines and DevOps practices
</div>


AI Engineers

Join Infosys and explore 22   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.