ml ops engineer

Tata Consultancy Services

<div>
 <br/>
 <p>
  Exp : 7- 15 Yrs
 </p>
 <p>
  <br/>
 </p>
 <ol>
  <li>
   Build, fine-tune, and optimize Large Language Models (LLMs) for banking-specific use cases (credit risk, AML, KYC, audit, compliance, customer service, etc.)
  </li>
  <li>
   Develop RAG pipelines, vector databases, embeddings, and multimodal retrieval systems.
  </li>
  <li>
   Design and integrate agentic AI workflows, autonomous agents, and multi-agent orchestration for complex banking tasks (case investigation, decision reasoning, trade surveillance alerts, credit assessment, etc.)
  </li>
  <li>
   Implement prompt engineering, prompt-chaining, and guardrails for safe and compliant GenAI outputs.
  </li>
  <li>
   Work with open-source and proprietary models (OpenAI, Gemini, Llama, Claude, Mistral, Falcon, etc.)
  </li>
  <li>
   Proficiency with Python, LangChain / LlamaIndex, HuggingFace, PyTorch, Tensor Flow.
  </li>
  <li>
   Experience with RAG pipelines, embedding models, vector databases (FAISS, Pinecone, Milvus, Chroma, OpenSearch)
  </li>
  <li>
   Hands-on with agentic AI frameworks (LangGraph, Autogen, CrewAI, Haystack Agents,Swarm)
  </li>
  <li>
   Experience with Azure OpenAI / AWS Bedrock / GCP Vertex AI
  </li>
  <li>
   Machine learning experience across supervised, unsupervised, time-series,and NLP
  </li>
  <li>
   Strong knowledge of ML Ops &amp; LLM Ops (Sagemaker, Vertex AI, Azure ML, MLflow,Kubeflow)
  </li>
  <li>
   Understanding of DevOps, CI/CD, Docker, Kubernetes, microservices
  </li>
 </ol>
</div>


Gen AI/ML

Baringa

<div>
 <strong>
  About Baringa
  <br/>
  <br/>
 </strong>
 Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.
 <br/>
 <br/>
 The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence &ndash; all powered by advanced technology, data, AI and digital innovation.
 <br/>
 <br/>
 Clients value Baringa&rsquo;s collaborative approach and the way its teams integrate seamlessly &ndash; all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.
 <br/>
 <br/>
 Certified as a
 <em>
  Great Place to Work
 </em>
 around the world, Baringa has been recognised by the
 <em>
  Financial Times
 </em>
 in 22 categories of its UK Leading Management Consultants rankings, and by
 <em>
  Forbes
 </em>
 for four consecutive years as one of the World&rsquo;s Best Management Consulting Firms.
 <br/>
 <br/>
 <strong>
  Our Solutions and AI Lab Team are looking for experienced Machine Learning Engineers to join the team.
  <br/>
  <br/>
 </strong>
 In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects - ranging from tools that support energy networks forecast risk and adapt to climate change using empirically-derived resilience models, to image recognition software using satellite and aerial imagery, to genAI-powered applications including bespoke assistants and agents.
 <br/>
 <br/>
 We are focused on delivering value-adding solutions aligned to our client&rsquo;s specific needs. This expertise is applied across clients in all of our industry market sectors (Financial Services, Products &amp; Services, Energy &amp; Resources, Pharmaceutical &amp; Lifesciences and Government).
 <br/>
 <br/>
 Curious what that impact looks like? Check out our ENA AI Platform case study to see how we accelerated low-carbon device roll-outs for the UK.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Defining and implementing machine learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance
  </li>
  <li>
   Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure
  </li>
  <li>
   Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project
  </li>
  <li>
   Performing maturity assessments across clients&rsquo; Cloud/AI environments and recommending improvements
  </li>
  <li>
   Building ML strategy blueprints and advising clients on the different technology options
  </li>
  <li>
   Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards
  </li>
  <li>
   Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
  </li>
  <li>
   Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
  <br/>
  <br/>
 </strong>
 We are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We&rsquo;re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life.
 <br/>
 <br/>
 <ul>
  <li>
   Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements
  </li>
  <li>
   Advanced degree in computer science, mathematics, physics, engineering or related STEM field
  </li>
  <li>
   Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning
  </li>
  <li>
   Excellent collaboration and communication skills, both with teams and in client-facing engagements
  </li>
  <li>
   Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents
  </li>
  <li>
   Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments
  </li>
  <li>
   Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design
  </li>
  <li>
   Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)
  </li>
  <li>
   Be a &lsquo;lifelong learner&rsquo; and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you
   <br/>
   <br/>
  </li>
 </ul>
 Join us
 <br/>
 <br/>
 All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.
 <br/>
 <br/>
 Baringa Privacy Notices
 <br/>
 <br/>
 <strong>
  For UK &amp; EU
  <br/>
  <br/>
 </strong>
 Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com
 <br/>
 <br/>
 <strong>
  For the USA
  <br/>
  <br/>
 </strong>
 Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER &amp; APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com
 <br/>
 <br/>
 <strong>
  For Australia &amp; Singapore
  <br/>
  <br/>
 </strong>
 Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER &amp; APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore&rsquo;s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com
</div>


Machine Learning Engineer

ai71

<div>
 <strong>
  About AI71:
  <br/>
  <br/>
 </strong>
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 As a Senior Machine Learning Ops Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 <br/>
 <br/>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
  </li>
  <li>
   AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
  </li>
  <li>
   Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
  </li>
  <li>
   Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
  </li>
  <li>
   Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
  </li>
  <li>
   5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
  </li>
  <li>
   Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.
  </li>
  <li>
   Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
  </li>
  <li>
   Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;
  </li>
  <li>
   Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.
  </li>
  <li>
   Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.
  </li>
  <li>
   Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
  </li>
  <li>
   Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
  </li>
  <li>
   Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why AI71:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Mission-Driven Work:
   </strong>
   Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
  </li>
  <li>
   <strong>
    Unparalleled Opportunity:
   </strong>
   This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
  </li>
  <li>
   <strong>
    Career Growth:
   </strong>
   We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
  </li>
  <li>
   <strong>
    World-Class Environment:
   </strong>
   Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
  </li>
 </ul>
</div>


MLOps Engineer

Mindstream

<p><b>HIRING &ndash; DATA SCIENTIST </b></p><p><b>Location:</b> Dhahran, Saudi Arabia<br/><b>Experience:</b> 6&ndash;14 Years</p><p><b>Mind Stream</b> is seeking a highly skilled and experienced <b>Data Scientist</b> to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced <b>AI and Machine Learning solutions</b>, ranging from <b>Agentic AI workflows</b> to <b>Time-Series Forecasting and Anomaly Detection models</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Design and deploy <b>Generative AI (GenAI)</b> solutions using <b>LLMs, RAG, and Vector Databases</b>.</li><li>Build multi-agent AI applications using <b>LangGraph, LangChain, CrewAI, and AutoGen</b>.</li><li>Develop and deploy <b>Time-Series Forecasting and Anomaly Detection</b> models.</li><li>Productionize ML models using <b>Python, FastAPI, MLflow, Docker, and Kubernetes</b>.</li><li>Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization.</li><li>Implement and maintain <b>MLOps practices</b> for end-to-end machine learning lifecycle management.</li></ul><p><b>Requirements</b></p><ul><li><b>6&ndash;14 years of professional experience</b> in Data Science, Machine Learning, or a related field.</li><li>Strong programming skills in <b>Python</b> with hands-on experience using <b>FastAPI</b>.</li><li>Experience with <b>GenAI technologies, LLMs, prompt engineering, RAG, and embeddings</b>.</li><li>Familiarity with <b>Agentic AI frameworks and multi-agent workflows</b>.</li><li>Hands-on experience with <b>Docker, Kubernetes, and CI/CD pipelines</b>.</li><li>Knowledge of <b>Cloud Platforms</b> and <b>MLOps practices</b>.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Application Question(s):</p><ul><li>How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence?</li><li>How many years of hands-on experience do you have with Python?</li><li>Do you have professional experience developing APIs using FastAPI?</li><li>What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings?</li><li>Do you have hands-on experience developing multi-agent AI applications or agentic workflows?</li><li>Do you have experience developing Time-Series Forecasting or Anomaly Detection models?</li><li>Do you have hands-on experience with MLflow, Docker, and Kubernetes?</li><li>Do you have experience with CI/CD pipelines and MLOps practices?</li><li>Which cloud platforms have you worked with? (AWS / Azure / GCP / Other)</li><li>Have you productionized and deployed Machine Learning or AI models at scale?</li><li>Are you willing to work full-time in Dhahran, Saudi Arabia?</li><li>What is your notice period or earliest joining date?</li><li>What is your current and expected monthly salary in SAR?</li></ul><p>Work Location: In person</p>

DATA SCIENTIST

Forsyth Barnes

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and implement agentic AI features that automate CRM workflows and decision tasks.
  </li>
  <li>
   Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations.
  </li>
  <li>
   Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs.
  </li>
  <li>
   Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness.
  </li>
  <li>
   Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours.
  </li>
  <li>
   Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact.
  </li>
  <li>
   Maintain development and testing infrastructure used for agent experimentation and deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Proven track record delivering AI or agentic prototypes into production systems.
  </li>
  <li>
   Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques.
  </li>
  <li>
   Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services.
  </li>
  <li>
   Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations.
  </li>
  <li>
   Operational experience managing servers, CI/CD and deployment tooling for ML services.
  </li>
  <li>
   Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Full Stack Developer (Agentic Engineering)  (Ref: 197687)

Cisco

Meet the Team
<br>As a Solutions Engineer at Cisco, you will work closely with the Service Provider Sales team to identify the needs one of Cisco’s most strategic Service Provider accounts in Qatar, demonstrate Cisco solutions, and design tailored products that drive digital transformation. You will provide expert technical guidance focused on customer success and aligned outcomes, while enjoying the flexibility to handle your work in a way that delivers the best results for both the customer and your team. This role requires solution engineer who combines, Enterprise networking, Data Center architecture solutions with strong AI, automation capable of guiding customers toward fully autonomous, AI-driven networks.
<br><br>
Your Impact
<br>As a Solution Engineer, you will play a pivotal role in accelerating Cisco's leadership by acting as a trusted technical advisor and solution architect. Your expertise will be crucial in translating service provider objectives into comprehensive, impactful architecture and solution strategies across Cisco’s diverse portfolio. Serve as the technical lead within the account team, building trusted advisor relationships with senior IT and business leaders.
<br><br>
<ul>
<li>Own the end-to-end technology vision and architecture, spanning Service Provider networks, Data Center, Cloud, Automation, Cybersecurity and AI driven operations.</li>
<li>Lead the design of large-scale, highly scalable Data Center, Enterprise Networking architectures, aligned with future autonomous networking models.</li>
<li>Lead AI-driven network transformation initiatives, including:</li>
<li>Applying AI/ML and LLM models to network operations, assurance, planning, and optimization</li>
<li>Positioning Agentic AI for closed-loop decision making, intent execution, and self-healing networks</li>
<li>Integrating AI capabilities across transport, Data Center, cloud and cybersecurity domains</li>
<li>Articulate and demonstrate the business impact of AI on network efficiency, cost optimization, resilience, and customer experience.</li>
<li>Lead network automation and orchestration strategy, with deep expertise in DNA Center, Nexus Dashboard, Cisco Intersight and Cisco Crosswork Automation portfolio</li>
<li>Collaborate with account teams, product leaders, and executives to influence roadmaps, investment decisions, and long-term transformation strategy.</li>
<li>Develop and present high-impact technical proposals, architectures, and demonstrations.</li>
<li>Drive proof of concepts (POCs), pilots, and solution validation to accelerate decision-making and adoption.</li>
</ul>
Minimum Qualifications
<br><br>
<ul>
<li>5+ years of proven experience in presales, consultative, or solution architect roles, demonstrating a proven presales track record in designing and deploying solutions, particularly in routing, switching, data center and cloud.</li>
<li>Technical expertise in:</li>
<li>Scalable, AI-ready Data Center architecture including compute, storage solutions (Cisco or 3rd party), data center networking, Cisco ACI</li>
<li>Enterprise network architectures using Cisco routing, switching and wireless solutions, SD-WAN, SASE, modern AI Ops/ML Ops, and programming/scripting capabilities.</li>
<li>Service provider network architecture spanning Access, transport, Data center, and Internet with related technologies.</li>
<li>Strong AI and automation expertise, including:</li>
<li>Applied understanding of AI/ML models for networking use cases such as assurance, optimization, planning, and predictive operations</li>
<li>Architectural or hands-on knowledge of LLM-based systems for operational insights, automation, and decision support</li>
<li>Experience designing or positioning Agentic AI frameworks to enable closed-loop, intent-based, and autonomous network operations</li>
<li>Strong understanding of Cisco technologies and architecture, with proven cross-architecture experience to translate client objectives into comprehensive solutions across Cisco’s full portfolio.</li>
<li>Ability to simplify complex technical concepts for both technical and non-technical audiences, coupled with strong executive-level communication skills.</li>
<li>Solid experience engaging directly with customers, applying consultative selling techniques, understanding financial pain points, and aligning solutions with customer business models to drive value realization and adoption.</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Bachelor’s degree in electrical engineering, Computer Science, or a related field.</li>
<li>Cisco certifications (e.g., CCNA, CCNP, CCIE) or equivalent vendor credentials.</li>
<li>Experience in Enterprise networking solutions: campus and branch, secure network architecture, access, wireless, wide area network, visibility and monitoring solutions</li>
<li>Understanding of data center technologies: hyperconverged infrastructure, cloud computing and networking, Data center fabric, servers, unified edge, SDN controller,</li>
<li>High level understanding of Service Provider Routing and Transport, including SR-MPLS and SRv6, Mobility, 5G Core network design and evolution</li>
<li>Ability to work effectively, add value as a team member, and assume a proactive approach to your career, demonstrating a growth mindset and adaptability.</li>
<li>Excellent written and verbal communication, listening, and strong presentation skills.</li>
<li>Experience in Qatar market is highly desirable, with Arabic language proficiency considered a significant plus.</li>
</ul>
Why Cisco?
<br><br>
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
<br>Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
<br>We are Cisco, and our power starts with you.

Solutions Engineer

Safran

<div><div>Published 08.28.2026
 </div><div><div><div><div>Company : Safran Engineering Services Job field : Software Location : Bangalore , India Contract type : Permanent Contract duration : Full-time Required degree : Bachelor's Degree Required experience : More than 8 years Professional status : Professional, Engineer &amp; Manager</div><div><br>
</div><div>
</div></div></div></div><div>Published 08.28.2026
</div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2><br>
</div><div><div><br>
We are seeking a experienced Generative AI developer to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role, your core responsibilities are<br>
<ul><li>Architect and build GenAI-powered applications using LLMs and advanced RAG pipelines for technical documentation, maintenance, and support workflows.</li><li>Prompt Engineering and design of retrieval-augmented generation (RAG) systems leveraging vector databases and semantic search for contextual information retrieval.</li><li>Integrate and fine-tune LLMs (OpenAI, Anthropic, Amazon Bedrock, HuggingFace, etc.) for domain-specific tasks and continuous improvement.</li><li>Develop robust evaluation frameworks for LLM output (relevancy, faithfulness, summarization, contextual accuracy).</li><li>Build and deploy microservices and APIs for GenAI solutions, ensuring high availability, scalability, and secure access.</li><li>Collaborate with product, domain, and platform teams to refine requirements and deliver innovative GenAI solutions.</li><li>Stay current with GenAI trends, frameworks, and best practices to future-proof solutions for evolving enterprise needs.</li></ul></div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Job Requirements</b></h2>
</div><div><ul><li>GenAI &amp; LLMs: OpenAI, Anthropic, Amazon Bedrock, HuggingFace Transformers, LangChain, RAG architectures, prompt engineering, fine-tuning.</li><li>Vector Databases &amp; Semantic Search: Pinecone, FAISS, Milvus, Weaviate, Elasticsearch/OpenSearch with vector support.</li><li>GenAI Evaluation &amp; Monitoring: G-Eval, Prometheus, QAG scorer, MLflow, DataDog, CloudWatch, custom LLM-as-a-judge frameworks.</li><li>API &amp; Microservices: RESTful API design, GraphQL, FastAPI, Flask, OAuth2/JWT, containerization (Docker, Kubernetes).</li><li>Security &amp; Compliance: IAM, KMS, VPC endpoints, S3 Object Lock, CloudTrail, encryption policies, GDPR/industry compliance.</li><li>DevOps for GenAI: CI/CD pipelines (GitHub Actions, CodePipeline), Terraform, AWS CDK, CloudFormation for automated deployment and scaling of GenAI services.</li><li>Data Modeling for GenAI: Metadata tagging, schema design, data quality management for LLM training and inference.</li><li>Multi-modal Retrieval: Experience with text, images, video, telemetry for comprehensive GenAI solutions.</li></ul>
Preferred Experience<br>
<ul><li>Building enterprise-grade RAG systems for technical documentation, support, or maintenance workflows.</li><li>Implementing multi-modal retrieval in large-scale environments.</li><li>Familiarity with continuous evaluation and improvement of LLMs in production (A/B testing, feedback loops).</li><li>Exposure to regulated industries (aviation, manufacturing, healthcare) with strict compliance and audit requirements.</li><li>Working with multi-cloud architectures (AWS/Azure/GCP) and hybrid deployments.</li><li>Advanced knowledge of MLOps: model deployment, monitoring, rollback, and lifecycle management.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>But what else? (advantages, specific features, etc.)</b></h2>
</div><div><div>Soft Skills<br>
<ul><li>Strong communication and stakeholder management</li><li>Decision making with a balance of technical and business judgment</li><li>Ability to guide technical discussions and challenge assumptions</li><li>Collaborative mindset with cross‑functional teams</li></ul></div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Company Information</b></h2>
</div><div><p>Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated &euro;31.3 billion in revenue in 2025. Safran holds, either independently or through partnerships, leading global or European positions in its markets.<br>
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Safran was ranked second in the Aerospace &amp; Defense sector in TIME magazine's &quot;&quot;World's Best Companies 2025&quot;&quot; ranking.<br>
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As the world leader in aeronautical electrical systems, Safran Electrical &amp; Power is a key player in the electrification of aircraft equipment and electric and hybrid propulsion. With expertise across the onboard energy chain, the company designs and delivers innovative, optimized and modular architectures and solutions.<br>
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</div></div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Locate your future workplace</b></h3>
</div></div><div><div><div><div><p>17th H Main Road 560095
</p><p>Bangalore
</p><p>India</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

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