ai engineer

VodafoneThree

<div></div><div><div><div><div><div>&#304;stanbul, Istanbul, T&uuml;rkiye</div></div></div></div><div></div><div><div><div><div><div><b><br>
</b></div></div></div></div></div><div><div><div><div><div><div><div><div><b>
Job description</b></div></div></div></div></div><div></div><div><div><div><div><div>
Requisition ID</div><div><b>
267665</b></div></div><div><div>
Date posted</div><div><b>
08/08/2025</b></div></div></div><div><div><div><div><div><div><b>
Join Us</b></div>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><div><b>
What you&rsquo;ll do</b></div>
</div><div><p>
We are seeking a Senior AI Engineer with strong expertise in Generative AI to help design and implement advanced AI models that solve real business problems. You will work closely with technical leads, product owners, and business units to develop robust GenAI solutions, contributing across the full lifecycle from research to deployment.<br>
<br>
<b>Key Responsibilities</b><br>
Develop, fine-tune, and evaluate Generative AI models using large-scale datasets<br>
Apply prompt engineering, transfer learning, and model optimization techniques<br>
Build secure, scalable pipelines for model training, inference, and monitoring<br>
Collaborate with cross-functional teams to implement GenAI use cases<br>
Stay updated on the latest GenAI research and apply relevant innovations<br>
Ensure documentation and reproducibility of developed models and pipelines</p></div></div><div><div><div><b>
Who you are</b></div>
</div><div><p>
MSc in Computer Science, Data Science, or a related field<br>
4+ years of experience in AI/ML; 1+ years in Generative AI projects<br>
Hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral, etc.)<br>
Strong coding skills in Python and experience with deep learning frameworks<br>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerized environments<br>
Knowledge of GenAI toolkits such as Hugging Face Transformers, LangChain, and vector stores<br>
Ability to work independently and communicate technical topics effectively<br>
Experience with CI/CD pipelines and model versioning tools is a plus</p></div></div><div><div><div><b>
Not a perfect fit?</b></div>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><div><b>
Who we are</b></div>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div></div></div><div><div><b>
Insights from previous hires</b></div><div><div><div><b>
Top skills</b></div><div><div><div><b>
CSS</b></div></div><div><div><b>
HTML5</b></div></div><div><div><b>
JavaScript</b></div></div><div><div><b>
Coding</b></div></div></div></div><div><div><b>
Previously worked as</b></div><div><div>
1. Software Developer</div><div>
2. Software Engineer</div><div>
3. Machine Learning Engineer</div><div>
4. Senior Software Engineer</div><div>
5. Software Development Engineer</div></div></div></div></div></div></div></div></div></div>

AI Engineer

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><p>
We are seeking a Senior AI Engineer with strong expertise in Generative AI to help design and implement advanced AI models that solve real business problems. You will work closely with technical leads, product owners, and business units to develop robust GenAI solutions, contributing across the full lifecycle from research to deployment.<br>
<br>
<b>Key Responsibilities</b><br>
Develop, fine-tune, and evaluate Generative AI models using large-scale datasets<br>
Apply prompt engineering, transfer learning, and model optimization techniques<br>
Build secure, scalable pipelines for model training, inference, and monitoring<br>
Collaborate with cross-functional teams to implement GenAI use cases<br>
Stay updated on the latest GenAI research and apply relevant innovations<br>
Ensure documentation and reproducibility of developed models and pipelines</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
</div><div><p>
MSc in Computer Science, Data Science, or a related field<br>
4+ years of experience in AI/ML; 1+ years in Generative AI projects<br>
Hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral, etc.)<br>
Strong coding skills in Python and experience with deep learning frameworks<br>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerized environments<br>
Knowledge of GenAI toolkits such as Hugging Face Transformers, LangChain, and vector stores<br>
Ability to work independently and communicate technical topics effectively<br>
Experience with CI/CD pipelines and model versioning tools is a plus</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

MicroTech

<div>Overview:
<div>
This is an exciting opportunity for a motivated entry-level AI Engineer to join and help build our AI division from the ground up. The ideal candidate will have strong technical skills in AI/ML and software development, with a passion for creating intelligent tools and automation solutions that streamline critical business processes such as proposal writing, HR management, recruiting, and order management.</div><br>
<div></div>
Responsibilities:
<ul><li>Collaborate with senior leadership to define AI strategy and roadmap for business automation and AI integration</li><li>
Design, develop, test, and deploy AI-powered tools, bots, and agents tailored to business needs</li><li>
Automate manual workflows including proposal generation, HR and recruiting processes, and order management</li><li>
Build and maintain machine learning models, natural language processing (NLP) capabilities, and recommendation systems</li><li>
Integrate AI solutions with existing platforms and cloud services (AWS/Azure/GCP)</li><li>
Collaborate cross-functionally with operations, HR, sales, and product teams to identify automation opportunities</li><li>
Monitor, test, and optimize AI systems for accuracy, efficiency, and scalability</li><li>
Stay current with AI advancements and emerging technologies to continuously improve tools and processes</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field (Master&rsquo;s a plus)</li><li>
Strong coding skills in Python and familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>
Experience or solid understanding of natural language processing, machine learning models, and AI agents/bots</li><li>
Knowledge of cloud computing platforms and deployment of AI applications (AWS, Azure, or GCP)</li><li>
Ability to work independently and lead projects while collaborating with multidisciplinary teams</li><li>
Interest or experience in business process automation, workflow optimization, or systems integration</li><li>
Excellent problem-solving, communication, and project management skills</li></ul><p><b>
Preferred Experience</b></p><ul><li>
Internships, projects, or previous roles involving AI/ML model development or automation tools</li><li>
Exposure to proposal automation, HR tech, recruiting software, or order management systems</li><li>
Familiarity with no-code or low-code AI builder platforms</li><li>
Understanding of data privacy and governance in AI applications</li></ul><div></div><p><b><br>
Why Join Us?</b></p><ul><li>
Be a founding member of a new AI division with leadership opportunities</li><li>
Work on impactful projects that directly enhance business efficiency and growth</li><li>
Access to ongoing professional development and cutting-edge AI tools</li><li>
Collaborative, innovative, and flexible work environment</li></ul>
General Information: MicroTech is an award-winning Service-Disabled Veteran-Owned Small Business (SDVOSB) and experienced provider of information technology and communications. MicroTech offers a wide range of professional services focused on providing cutting-edge solutions with the customer at the forefront of every decision we make. Solving complex business challenges is our passion &mdash; we provide effective, practical solutions that can increase productivity, and decrease costs. MicroTech has developed a well-earned reputation for best-in-class services and solutions using a repeatedly proven ISO 9001:2015 Quality Management System (QMS), ISO 20000 IT service management certification, and ITIL&reg; management qualified business processes. We offer great pay, amazing benefits, and our company culture is strong. MicroTech is devoted to people development and providing high achievers opportunities to grow professionally. As an employee, you are surrounded by intelligent, driven colleagues and have the benefit of a culture that is focused on bringing out the best in everyone. Our benefits include: &bull; Insurance (medical, dental vision) &bull; Paid Leave (15 days per year for those with less than three years of service, 20 days off for those with more than three years of service) &bull; 401k Plan with Employer Matching Contribution &bull; 11 Company-Paid Holidays &bull; Tuition Assistance &bull; Voluntary Benefit Programs &bull; Corporate Discounts MicroTech is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classes.</div>

Appgain

<p>APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul><p>Job Type: part-time</p><p>Job Type: Part-time</p><p>Expected hours: 20 per week</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data & AI Engineer for one of our partners, a global leader in the chemical industry field.
<br><br>
<b>Job Summary:</b><br>
The Data & AI Engineer is responsible for designing, building, and maintaining the data infrastructure, pipelines, and AI solutions necessary to support the company's business needs. This role combines expertise in data engineering and applied AI to enable scalable data processing, advanced analytics, and machine learning capabilities. The engineer will work with large datasets, optimize data flows, and deliver AI-driven solutions that enhance decision-making and operational efficiency.
<br>The ideal candidate brings extensive experience in data engineering and a strong technical background in data architecture and ETL processes. They demonstrate a deep understanding of data governance and best practices, with a proven ability to manage large-scale data environments. The candidate excels in collaboration, problem-solving, and driving continuous improvement in data engineering practices.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Design, develop, and maintain data pipelines to support data integration, processing, and AI/ML workflows.</li>
<li>Ensure data quality, integrity, and security across all data and AI systems.</li>
<li>Develop and implement ETL processes to ingest data from diverse sources for analytics and machine learning.</li>
<li>Optimize data storage, retrieval, and AI model serving for performance and scalability.</li>
<li>Collaborate with data scientists and analysts to provide high-quality datasets, features, and infrastructure for analytics, reporting, and AI experimentation.</li>
<li>Build, deploy, and maintain AI/ML models to solve business problems, automate processes, and enhance decision-making.</li>
<li>Implement and maintain data governance, model governance, and MLOps best practices.</li>
<li>Monitor and troubleshoot data pipelines, AI models, and ML workflows to ensure reliability, accuracy, and efficiency.</li>
<li>Support data-driven and AI-driven initiatives by enabling timely access to trusted data and scalable AI solutions.</li>
<li>Develop and maintain documentation for data processes, AI pipelines, and deployed models.</li>
<li>Stay up to date with emerging data and AI technologies, tools, and industry best practices.</li>
<li>Ensure compliance with data protection regulations, ethical AI principles, and internal policies.</li>
<li>Provide training and support to stakeholders on data systems, AI capabilities, and best practices.</li>
<li>Lead efforts to continuously improve data infrastructure, AI platforms, and automation processes.</li>
<li>Collaborate with IT, business units, and functional teams to align data and AI initiatives with organizational goals.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.</li>
<li>Proven experience of at least 5+ years in data engineering, 2+ years in AI engineering, with a focus on building and maintaining data & AI pipelines in a CoE or Specialist role.</li>
<li>Proven experience in developing and implementing ETL processes.</li>
<li>Strong background in data architecture and Azure technologies.</li>
<li>In-depth knowledge of data governance and data quality management principles.</li>
<li>Excellent written and verbal English language proficiency</li>
</ul>
<b>Skills:</b><br>
<ul>
<li>Demonstrated expertise in designing, maintaining, and optimizing data pipelines, AI pipelines, and infrastructure.</li>
<li>Strong technical knowledge of ETL processes, data integration, and MLOps using Microsoft Fabric or Azure tools.</li>
<li>Proficiency in programming languages (e.g., Python, Java, SQL) for data processing, as well as AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Hands-on experience in developing, deploying, and scaling machine learning models in production environments.</li>
<li>Excellent problem-solving and analytical skills, with a proactive approach to identifying and addressing data and AI challenges.</li>
<li>Strong communication and interpersonal skills, able to engage effectively with stakeholders at all levels and explain AI-driven insights in business terms.</li>
<li>Adept at managing multiple projects and priorities in a dynamic environment, including data and AI initiatives.</li>
<li>Proficiency in data governance, model governance, and data quality management principles.</li>
<li>Strong understanding of data protection regulations, compliance requirements, and ethical AI practices.</li>
<li>Experience in troubleshooting and resolving data and AI-related issues, including pipeline failures and model drift.</li>
<li>Ability to provide training and support on data systems, AI tools, and best practices.</li>
<li>Adaptable and agile mindset towards continuous improvement, staying current with evolving data, cloud, and AI technologies.</li>
<li>Strong analytical skills to interpret data, evaluate model performance, and predict trends for business advantage.</li>
<li>Ability to work closely with team members, management, senior leadership, and cross-functional teams to deliver data- and AI-driven value.</li>
<li>Excellent verbal and written communication skills in English, with the ability to articulate and present complex technical and AI concepts clearly and concisely.</li>
</ul>


Data & AI Engineer

TECHNOSYS 

<p>This is a full-time on-site role for an Artificial Intelligence Engineer located in Kar&#257;chi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.</p><ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul><p><b>Qualification</b></p><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</p><p>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</p><p>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</p><p>Strong understanding of data structures, algorithms, and statistical methods.</p><p>Timings : 9 am - 6pm</p><p>Monday to Friday</p><p>Market Competitive Salary package</p><p>Karachi, pechs block 2</p><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs150,000.00 per month</p><p>Work Location: In person</p>

Simpplr

<div><div><h3 class="jobSectionHeader"><b>Who We Are</b></h3>
<p>
Simpplr is the AI-powered platform that unifies the digital workplace &ndash; bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology.</p>
<p>
More than 1,000 leading organizations &ndash; including AAA, the NHS, Penske, and Moderna &ndash; trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com.</p></div><div><p><b>
JOB DESCRIPTION</b></p>
<p><b>
Senior AI ENGINEER</b></p>
<p><b>
About the Role</b></p>
<p>
As an AI Engineer at Simpplr, you will contribute to the design and delivery of <b>AI-native</b> platform features that are accurate, reliable and aligned with ethical, legal and compliance standards. You will work with senior engineers, data scientists and cross-functional teams to develop LLM-based systems, MCP integrations, RAG architectures, multimodal solutions and fine-tuned ML models. Every solution will embed explainability, traceability, observability, privacy-by-design and<b> Responsible AI </b>governance from the start, in line with Simpplr&rsquo;s code of conduct and industry best practices.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, code and enhance AI-native platform capabilities ensuring compliance with data privacy, intellectual property and security policies.</li>
<li>Build components for MCP, RAG, LLMs, SLMs, multimodal generation, fine-tuned ML models and agentic workflows.</li>
<li>Assist in building and maintaining AIOps and MLOps pipelines with versioning, CI/CD, monitoring, rollback and drift detection capabilities.</li>
<li>Apply bias detection, privacy-by-design and compliance best practices to all deliverables.</li>
<li>Work with cross-functional teams to integrate AI capabilities into product experiences.</li>
<li>Stay updated on AI frameworks, tools and industry standards to bring innovative ideas into the team.</li><br>
</ul>
<p><b>What We Are Looking For</b></p>
<ul>
<li>3 - 5 years of experience in AI/ML engineering, data science or related roles.</li>
<li>Deliver enterprise-scale AI capabilities using MCP, RAG, multimodal, LLMs, SLMs, fine-tuned custom ML models and agentic workflow automation.</li>
<li>Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn).</li>
<li>Understanding of data engineering workflows, vector databases and cloud deployment basics.</li>
<li>Exposure to MLOps/AIOps tools and processes (CI/CD, model monitoring, experiment tracking).</li>
<li>Strong problem-solving, communication and teamwork skills.</li>
</ul>
<p><b>Technical Skill Sets</b></p>
<ul>
<li><b>AI/ML:</b> LLMs, MCP, RAG, multimodal generation, SLMs, prompt engineering.</li>
<li><b>Programming:</b> Python, PyTorch/TensorFlow, scikit-learn, full-stack engineering experience is a plus.</li>
<li><b>Data Engineering:</b> SQL/NoSQL, Snowflake, Vector databases such as FAISS, Milvus, Pinecone, Redis.</li>
<li><b>MLOps &amp; AIOps:</b> CI/CD, model versioning, monitoring, observability, anomaly detection, Docker, Kubernetes, Kafka, Spark, TorchServe, MLFlow.</li>
<li><b>Cloud Infrastructure:</b> AWS, GCP, Azure, Terraform/Ansible for secure and scalable deployments.</li>
<li><b>Responsible AI &amp; Governance:</b> Bias detection, interpretability, audit trails, privacy-by-design and compliance frameworks.</li></ul><br>
<p></p>
<p><b>
Our Ideal Candidate</b></p>
<p>
An AI engineer who can design and ship production-grade AI features, working closely with senior engineers to deliver enterprise-ready solutions. You are not just a consumer of AI APIs, you understand and can help build the foundational components of AI-native platforms. You are motivated by building responsible, auditable and explainable AI systems. You are comfortable navigating the operational realities of running agentic AI in enterprise environments, thrive in collaborative teams, are eager to learn from experienced mentors and are excited to contribute to the backbone of Simpplr&rsquo;s Agentic AI capabilities from the ground up.</p>
<p>
.</p></div><div><h3 class="jobSectionHeader"><b>
Simpplr&rsquo;s Hub-Hybrid-Remote Model:</b></h3>
<p>
At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want.</p>
<ul>
<li><b>Hub - </b><b>100% work from Simpplr office. </b>Role requires Simpplifier to be in the office full-time.</li>
<li><b>Hybrid -</b> <b>Hybrid work from home and office. </b>Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis.</li>
<li><b>Remote - 100% remote. </b>Role can be done anywhere within your country of hire, as long as the requirements of the role are met.</li></ul></div></div>

Senior AI Engineer

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