ai/ml architect

QatarEnergy

<div>
 <strong>
  Primary Purpose Of The Job
  <br/>
  <br/>
 </strong>
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 <br/>
 <br/>
 <strong>
  Principle Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
  </li>
  <li>
   Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
  </li>
  <li>
   Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Define technical standards for model deployment, monitoring, and maintenance.
  </li>
  <li>
   Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
  </li>
  <li>
   Partner with business stakeholders to understand requirements and translate them into technical solutions
  </li>
  <li>
   Establish governance frameworks for AI model lifecycle management
  </li>
  <li>
   Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
  </li>
  <li>
   Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
  </li>
  <li>
   Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
  </li>
  <li>
   Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <strong>
  AI/ML Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
  </li>
  <li>
   Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
  </li>
  <li>
   5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
  </li>
  <li>
   Proficient in large language models and generative AI implementations.
  </li>
  <li>
   Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
  </li>
  <li>
   Experienced with real-time ML systems and edge computing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  MLOps and DataOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of MLOps practices and tools.
  </li>
  <li>
   Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
  </li>
  <li>
   Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud and Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
  </li>
  <li>
   Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
  </li>
  <li>
   Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance and Compliance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
  </li>
  <li>
   Knowledgeable in AI/ML regulatory compliance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication and Collaboration
  <br/>
  <br/>
 </strong>
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 <br/>
 <br/>
 <strong>
  Educational Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
  </li>
  <li>
   Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
  </li>
 </ul>
</div>


SR. DIGITAL ARCHITECT

Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Join our Team</b></h2>
</div><div><p>
As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we&rsquo;ve made it our business to make a mark. Being part of Ericsson empowers you to learn, lead, and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.</p><p>
Within the Solution Area Cognitive Networks Solutions Software R&amp;D (SA CNS SW R&amp;D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation, and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently, coupled with the appropriate testing. Are you ready to write the future with us?<br>
Come, and be where it begins.</p><p></p><p><b><br>
About this opportunity:</b></p><p></p><p><br>
Within Cognitive Software Engineering, we offer the opportunity to collaborate with highly qualified teams across the globe and contribute to success stories for our customers. As a SaaS System Architect, you will design and develop scalable and high-performing distributed cloud-based applications.<br>
Your deep understanding of software architecture will be essential in supporting multiple applications and customer scenarios, ensuring a seamless transition from development to production and maintenance. You will work closely with cross-functional teams, including product owners, domain experts, and technical leaders, to ensure reliability, scalability, and architectural excellence across our solutions.</p><p></p><p><b><br>
What you will do:</b></p><br>
<p></p><ul><li>
Translate stakeholders&rsquo; visions into comprehensive AI/ML/Generative AI architectural strategies and implementation roadmaps, aligning with business objectives and digital transformation goals.</li><li>
Partner with enterprise architects, application architects, data scientists, MLOps engineers, DevOps teams, and business stakeholders to deliver AI-centric SaaS use cases and refine architectural designs.</li><li>
Evaluate and select optimal technologies from open-source and commercial options, considering deployment models, cost efficiency, and integration with existing infrastructure.</li><li>
Drive the successful execution and continuous improvement of AI-centric applications using agile methodologies.</li><li>
Collaborate with security and risk management teams to identify potential risks, promote ethical AI practices, and ensure compliance with relevant regulations.</li><li>
Guide project teams through technical reviews, design approvals, and governance processes, maintaining standards for data privacy, security, and regulatory compliance in AI solutions.</li><li>
Build and maintain relationships with key stakeholders, contributing to business development efforts such as proposal development.</li><li>
Lead and mentor diverse teams in an inclusive environment, recognizing individual contributions and fostering growth.</li><li>
Support the development of team members through hands-on guidance and structured training programs.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
The skills you bring:</b></h2></div><p></p><div><br>
<ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or a related field.</li><li>
10+ years of experience in software development.</li><li>
3+ years of experience as an AI Architect.</li><li>
Track record of working in architecture roles, presenting designs to stakeholders, technical authorities, or review boards.</li><li>
Experience building enterprise-integrated solutions that deliver complete end-to-end value.</li><li>
Proven expertise in architecture disciplines, including designing scalable and performant AI/ML systems.</li><li>
Solid background in data science with deep knowledge of AI/ML concepts.</li><li>
Working knowledge of using the current state-of-the-art machine learning frameworks such as Tensorflow, Keras, scikit-learn, Pytorch, etc.</li><li>
Hands-on experience deploying cloud-based AI/ML workloads on major platforms (e.g., AWS Bedrock and SageMaker, Google Vertex AI and PaLM, Azure OpenAI and Azure ML) or third-party solutions (e.g., Databricks, Snowflake Snowpark/Cortex, Dataiku, DataRobot).</li><li>
Proficiency in architecting cost-optimized, scalable solutions using serverless technologies, Containerization, and Cloud Infrastructure.</li><li>
Working knowledge of generative AI, including deployment and hosting of large foundational models.</li><li>
Proven expertise in LLM architectures (e.g., Transformers, GANs, VAEs), fine-tuning, Retrieval Augmented Generation (RAG), Context embedding, vector databases, and semantic search tools.</li><li>
Strong coding skills in Python for robust AI development and packaging.</li><li>
Experience with LangChain and LangGraph frameworks.</li><li>
Demonstrated ability to implement MLOps practices for end-to-end model lifecycles (training, testing, monitoring, and iteration).</li><li>
Experience with Cloud MLOps platforms (Vertex AI, SageMaker, etc.) and other MLOps platforms: MLFlow, Kubeflow, KServe, Seldon, DVC, CometML, etc.</li><li>
Deep understanding and hands-on experience in building Microservices based applications following the API First approach for serving ML models.</li><li>
Proficiency with loading data from different data repositories: SQL Databases, Data Warehouses, and Data Lakes.</li><li>
Proficiency in classic DevOps, CI/CD practices, and Test Automation.</li><li>
Professional certifications in AI/ML technologies on cloud platforms (e.g., AWS, GCP, or Azure).</li><li>
AWS certifications like AWS Certified Solutions Architect &ndash; Professional, AWS Certified Solutions Architect &ndash; Associate, or other relevant certifications would be a strong asset.</li><li>
Excellent stakeholder management, cross-functional collaboration, and leadership skills (including coaching, facilitation, and program delivery).</li><li>
Strong communication skills to work effectively with multidisciplinary teams.</li><li>
Experience contributing to go-to-market activities, such as RFI/RFP responses and proposal development.</li><li>
Knowledge of Agile Software Development Methodologies.</li></ul></div></div></div><p><b>
Why join Ericsson?</b></p><p>
At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b></p><p>
Click Here to find all you need to know about what our typical hiring process looks like.</p><p>
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p><b>
Primary country and city:</b> Egypt (EG) || Cairo</p><p><b>
Req ID:</b> 778625</p></div>

AI Architect

Capgemini

<div><div><div><p>Hyderabad</p><div>
Gen AI Architect</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we&rsquo;ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we&rsquo;ll provide everything you need to do your best work and become the best you can be.
</p><div><div><div><div>Your Profile</div></div><div><div>
Solution Design: Architect scalable Generative AI solutions for enterprise use cases (chatbots, content generation, code assistants, knowledge management).</div><div>
Model Selection &amp; Fine-Tuning: Evaluate, customize, and fine-tune LLMs and multimodal models (OpenAI, Azure OpenAI, Hugging Face, etc.).</div><div>
Integration: Design APIs and pipelines to integrate AI models with existing enterprise systems (ERP, CRM, Data Lakes).</div><div>
Governance &amp; Compliance: Implement AI ethics, responsible AI practices, and ensure compliance with data privacy regulations.</div><div>
Performance Optimization: Optimize inference speed, cost, and accuracy using techniques like prompt engineering, RAG (Retrieval-Augmented Generation), and model compression.</div></div></div><div><div><div>
Your Role</div></div><div><div>
Strong experience in AI/ML architecture, cloud platforms (Azure, AWS, GCP).</div><div>
Expertise in Generative AI frameworks (Transformers, LangChain, LlamaIndex).</div><div>
Proficiency in Python, API development, and MLOps pipelines.</div><div>
Understanding of data security, AI ethics, and compliance standards.Excellent communication and stakeholder management skills.</div></div></div><div><div><div>
What you'll love about working here</div></div><div><ul><li>
You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.</li><li>
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.</li><li>
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
</li></ul></div></div></div><p>Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
</p></div></div><p></p><div><div><div><div><div>Ref. code</div><div>
360272-en_GB</div></div><div><div>
Posted on</div><div>
18 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Other Delivery units</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Gen AI Architect

Information Tech Consultants

<div>
 <p>
  🌟 Senior Data Scientist SME /
  <strong>
   Data Science SME (Subject matter expert)
  </strong>
  🧠
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location : London (Relocation required - Sponsorship will be provided)
  </strong>
 </p>
 <p>
  <strong>
   Experience : 9-12 years
  </strong>
 </p>
 <p>
  <strong>
   CTC- 40-45 lacs
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly accomplished and results-oriented
  <strong>
   Senior Data Scientist Subject Matter Expert (SME)
  </strong>
  with over
  <strong>
   10 years of experience
  </strong>
  to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
  <strong>
   Generative AI, Computer Vision, and Natural Language Processing (NLP)
  </strong>
  .
 </p>
 <p>
  You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    AI/ML Strategy &amp; Architecture:
   </strong>
   Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
   <strong>
    Generative AI (GenAI)
   </strong>
   , large language models (
   <strong>
    LLMs
   </strong>
   ), and specialized models in Computer Vision and NLP.
  </li>
  <li>
   <strong>
    Big Data Engineering:
   </strong>
   Design, build, and optimize high-throughput, distributed data pipelines and features using
   <strong>
    Apache Spark (Scala)
   </strong>
   and
   <strong>
    Hive
   </strong>
   on massive datasets to support model training and inference.
  </li>
  <li>
   <strong>
    Cross-Cloud Execution:
   </strong>
   Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
   <strong>
    AWS, Azure, and GCP
   </strong>
   ), ensuring portability, scalability, and cost efficiency.
  </li>
  <li>
   <strong>
    Specialized Model Development:
   </strong>
   Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
  </li>
  <li>
   <strong>
    Computer Vision:
   </strong>
   Developing and optimizing models for image recognition, object detection, and video analytics.
  </li>
  <li>
   <strong>
    NLP:
   </strong>
   Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
  </li>
  <li>
   <strong>
    Generative AI:
   </strong>
   Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
  </li>
  <li>
   <strong>
    SME Consulting &amp; Mentorship:
   </strong>
   Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
  </li>
  <li>
   <strong>
    MLOps &amp; Governance:
   </strong>
   Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills and Expertise (10+ Years)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  1. Big Data and Cloud Mastery
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Programming &amp; Big Data:
   </strong>
   10+ years of extensive, hands-on experience with
   <strong>
    Apache Spark
   </strong>
   , with strong preference for production development using
   <strong>
    Scala
   </strong>
   . Deep expertise with
   <strong>
    Apache Hive
   </strong>
   for data querying and management.
  </li>
  <li>
   <strong>
    Cloud Proficiency:
   </strong>
   Demonstrated expertise in deploying and managing data/ML workloads across
   <strong>
    at least two
   </strong>
   of the three major cloud platforms:
   <strong>
    AWS
   </strong>
   (Sagemaker, EMR, S3),
   <strong>
    Azure
   </strong>
   (Azure ML, Synapse Analytics), and
   <strong>
    GCP
   </strong>
   (Vertex AI, BigQuery).
  </li>
  <li>
   <strong>
    Data Architecture:
   </strong>
   Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  2. Advanced AI/ML Specialization
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Generative AI (GenAI) &amp; LLMs:
   </strong>
   Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
   <strong>
    Large Language Models (LLMs)
   </strong>
   .
  </li>
  <li>
   <strong>
    Computer Vision:
   </strong>
   In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
  </li>
  <li>
   <strong>
    NLP:
   </strong>
   Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  3. Leadership &amp; Soft Skills
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Technical Leadership:
   </strong>
   Proven track record of leading complex data science projects from research to production deployment.
  </li>
  <li>
   <strong>
    Communication:
   </strong>
   Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
  </li>
  <li>
   <strong>
    Mentorship:
   </strong>
   Experience mentoring and training senior engineers and data scientists.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Education and Certification
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
  </li>
  <li>
   Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist SME & AI

REIZEND PRIVATE LIMITED

<p><b>Location - Trivandrum</b><br/><b>Work from office</b><br/><b>Experience - 6+ Years</b><br/><b>Salary- 18 - 28 LPA</b><br/><b>Job Types: Full-time, Permanent</b></p><p><b>Brief Description</b></p><p>1.Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process.</p><p>2.Communicating:Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the</p><p>value of a solution to stakeholders and clients.</p><p>3.Managing Stakeholders:Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations.</p><p>4.Architectural Oversight:Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee</p><p>architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end</p><p>workflows.</p><p>5.Problem Solving:Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise.</p><p>6.Ensuring Quality:Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals.</p><p>7.Project management:Break down project requirements into manageable pieces of work, and organise the workloads of technical teams.</p><p>8.Tool &amp; Framework Expertise:Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS,</p><p>Azure, GCP), Web App development frameworks and DevOps practices.</p><p>9.Continuous Improvement:Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement.</p><p><b>Skills</b></p><p>1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models.</p><p>2. Knowledge or experience working with self-hosted or managed LLMs.</p><p>3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging</p><p>Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition.</p><p>4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs.</p><p>5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability.</p><p>6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux)</p><p>7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached).</p><p>8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing.</p><p>9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets.</p><p>10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights.</p><p>11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform).</p><p>12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX).</p><p>13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains.</p><p>14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication.</p><p>15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,800,000.00 - ₹2,800,000.00 per year</p><p>Work Location: In person</p>

Senior Technology Analyst (6+ Years Exp)

Offshore IT Services

<p><b>Position </b>&ndash; Azure AI Architect<br/><b>Location:</b> Onsite | Mohali<br/><b>Experience:</b> 8&ndash;12 Years<br/><b>Employment Type:</b> Full-Time</p><p><b>About Us: </b><br/>TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation. With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms</p><p><b>Role Overview:</b><br/>We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms.</p><p><b>Key Responsibilities:</b><br/>Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI.</p><ul><li>Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.</li><li>Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions).</li><li>Build automation scripts and tools using .NET/C# or Python.</li><li>Manage and optimize Windows Server and Linux/Unix environments for AI workloads.</li><li>Deploy and orchestrate AI-driven applications on Kubernetes/AKS.</li><li>Ensure Responsible AI practices, security, compliance, and governance across AI deployments.</li><li>Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK).</li><li>Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions.</li><li>Mentor engineers on Azure AI, DevOps, and automation best practices</li></ul><p><b>Required Skills &amp; Experience:</b><br/>8&ndash;12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.</p><ul><li>Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.</li></ul><ul><li>Hands-on programming in .NET/C# or Python (must-have).</li></ul><ul><li>Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).</li></ul><ul><li>Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.</li></ul><ul><li>Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.</li></ul><ul><li>Familiarity with data engineering pipelines and AI integration patterns.</li></ul><ul><li>Knowledge of Responsible AI, security, compliance, and governance frameworks.</li></ul><ul><li>Bonus: Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.</li></ul><p><b>Soft Skills:</b></p><ul><li>Ability to balance strategic design with hands-on execution.</li></ul><ul><li>Excellent problem-solving and analytical abilities.</li></ul><ul><li>Strong client-facing and communication skills. &bull; Collaborative leadership to mentor and guide cross-functional teams.</li></ul><p><b>Education &amp; Certifications: </b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, IT, or related field.</li><li>Preferred Certifications: o Microsoft Certified: Azure Solutions Architect Expert</li></ul><p>Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate o Kubernetes CKA/CKAD, Terraform Associate</p><p><b>Why Join Us? </b></p><ul><li>Shape AI-first cloud architectures for global enterprises.</li><li>Be part of a fast-scaling IT services company with 200+ professionals and global exposure.</li><li>Work with cutting-edge AI, Cloud, and Data solutions.</li><li>Competitive compensation + performance bonuses.</li><li>Inclusive, collaborative, and innovation-driven culture.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹818,668.26 - ₹14,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Azure AI Architect

Dataflix

<div><div><p><b>Overview</b></p><p>
We are seeking a <b>highly senior AI professional</b> with deep expertise in <b>Machine Learning, Large Language Models (LLMs), and Agentic AI systems</b>, who can <b>lead the AI technical team end-to-end</b>. This role is ideal for a seasoned <b>Data Scientist / AI Architect</b> who has hands-on experience building, scaling, and deploying advanced AI solutions and has worked extensively with <b>IBM Watson</b> along with other modern AI frameworks.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Lead the <b>design, development, and deployment</b> of advanced ML, NLP, and GenAI solutions.</li><li>
Architect and implement <b>LLM-based and Agentic AI systems</b> for real-world enterprise use cases.</li><li>
Provide <b>technical leadership and mentorship</b> to AI/ML engineers and data scientists.</li><li>
Drive <b>model experimentation, evaluation, optimization, and productionization</b>.</li><li>
Collaborate with product, engineering, and business teams to translate problems into AI solutions.</li><li>
Stay current with emerging AI research and apply it to business innovation.</li></ul><p><b>
Requirements</b></p><ul><li><b>
Strong foundation in Machine Learning &amp; Statistics</b> (supervised, unsupervised, deep learning).</li><li>
Extensive experience with <b>NLP, Generative AI, and Large Language Models (LLMs)</b>.</li><li>
Proven hands-on experience working with AI frameworks, IBM Watson experience will be an added advantage.</li><li>
Experience with <b>Agentic AI frameworks</b>, orchestration, and multi-agent systems.</li><li>
Proficiency in <b>Python</b> and ML/DL frameworks such as <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>
Experience with <b>LLM frameworks</b> like <b>LangChain, LlamaIndex, Hugging Face</b>, or similar.</li><li>
Strong understanding of <b>model deployment, MLOps, and cloud-based AI solutions</b>.</li><li>
Experience working with <b>Azure, AWS, or GCP</b> AI/ML services is a plus.</li></ul></div></div>
<br><div><div><p>Location</p>
<p>Hyderabad, India</p>
</div><div><p>Salary</p>
<p>TBD</p>
</div><div><p>Job Type</p>
<p>Full-time</p>
</div><div><p>Date Posted</p>
<p>December 19th, 2025</p></div></div>

Principal AI Architect & Data Scientist

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