ai engineer

<div><div>Job Title: AI EngineerExperience Level: +5 YearsLocation: Hyderabad<br>
Job Summary<br>
We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 5+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions &ndash; from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.<br>
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Key Responsibilities<br>
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<ul><li>Model Development &amp; Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.</li><li>Production Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.</li><li>Data Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.</li><li>Research &amp; Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.</li><li>Performance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.</li><li>Collaboration &amp; Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.</li><li>Code Quality &amp; Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.</li><li>Monitoring &amp; Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.</li></ul><br>
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Required Qualifications<br>
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<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.</li><li>Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).</li><li>Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.</li><li>Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).</li><li>Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).</li><li>Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.</li><li>Experience with data preprocessing, feature engineering, and handling large datasets.</li><li>Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.</li><li>Excellent problem-solving skills and the ability to work on complex, ambiguous problems.</li><li>Strong communication and collaboration skills to work effectively with cross-functional teams.</li></ul></div><p><b>
Your future duties and responsibilities</b></p><p></p><p><b>
Required qualifications to be successful in this role</b></p><p></p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
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Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
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You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
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Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
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You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
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Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

AI Engineer

Riverhouse technologies

<p>We&rsquo;re seeking a Junior AI Engineer with at least one year of hands-on experience to</p><p>help us design and refine Large Language Model (LLM)&ndash;based products for the</p><p>EdTech industry. You&rsquo;ll work closely with senior engineers to create AI-driven tools that</p><p>enhance learning experiences, leveraging OpenAI and Azure OpenAI technologies. This</p><p>is an exciting opportunity to build production-grade AI systems that will directly impact</p><p>how people learn.</p><p>Key Responsibilities:</p><p>- Develop, test, and refine LLM-based products tailored for the EdTech sector.</p><p>- Work with OpenAI and Azure OpenAI APIs to integrate and optimize AI models.</p><p>- Adapt and fine-tune LLMs for educational content, assessments, and personalized</p><p>learning experiences.</p><p>- Collaborate with product, engineering, and content teams to translate learning needs</p><p>into AI-powered solutions.</p><p>- Conduct evaluations of model performance and implement improvements.</p><p>- Ensure responsible AI practices, including data privacy and ethical model use.</p><p>- Write clean, maintainable, and well-documented code.</p><p>Job Type: Full-time</p><p>Pay: &#8377;15,731.18 - &#8377;30,807.19 per month</p><p>Work Location: In person</p>

CyberGen Faisalabad

<p>CyberGen is a leading IT and cybersecurity company, committed to innovation and growth. We&rsquo;re expanding our technology team and seeking a highly skilled and innovative <b>AI Engineer</b> to design, develop, and optimize advanced AI solutions&mdash;from building and training machine learning models to deploying scalable systems that drive automation, data intelligence, and real-world impact.</p><p><b>About the Role</b></p><p>We are seeking a highly skilled <b>AI Engineer</b> with hands-on expertise in both traditional machine learning and cutting-edge generative AI (LLMs, diffusion models, etc.), coupled with strong experience in MLOps, API development (FastAPI), and end-to-end deployment. As a key member of our AI team, you will design, develop, deploy, and optimize AI/ML solutions that power innovative products and services for real-world impact.</p><p><b>Key Responsibilities</b></p><ul><li><b>AI/ML Model Development:</b></li></ul><p>Design, build, and train traditional ML models (classification, regression, clustering, etc.) and generative AI models (NLP, LLMs, image generation, etc.) using frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace, etc.</p><ul><li><b>API &amp; Microservices:</b></li></ul><p>Build scalable and robust RESTful APIs for AI services using FastAPI (preferred) or similar frameworks. Integrate models with applications and expose inference endpoints.</p><ul><li><b>Deployment &amp; Scaling:</b></li></ul><p>Containerize applications (Docker), orchestrate with Kubernetes or similar tools, and deploy models in production environments (cloud/on-prem). Monitor, optimize, and troubleshoot AI systems post-deployment.</p><ul><li><b>Continuous Integration &amp; Delivery (CI/CD):</b></li></ul><p>Implement CI/CD workflows for automated testing, model retraining, and seamless delivery of AI features.</p><ul><li><b>Collaboration:</b></li></ul><p>Work closely with data scientists, product managers, and software engineers to translate business requirements into scalable AI solutions.</p><ul><li><b>Documentation &amp; Best Practices:</b></li></ul><p>Document design decisions, code, and model performance. Champion best practices for code quality, reproducibility, and responsible AI.</p><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>Proven experience developing and deploying both traditional ML and generative AI models.</li><li>Minimum 2 years of professional experience in AI/ML engineering or a closely related role.</li><li>Strong proficiency in Python and relevant ML/DL libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, etc.).</li><li>Hands-on experience building REST APIs with FastAPI (or Flask/FastAPI alternatives).</li><li>Experience with containerization (Docker) and orchestration (Kubernetes).</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workloads.</li><li>Knowledge of CI/CD tools and practices.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul><p><b>Preferred (Bonus) Skills</b></p><ul><li>Experience with generative AI (LLMs, diffusion models, prompt engineering, RAG, etc.)</li><li>Exposure to data versioning, model monitoring, and retraining workflows.</li><li>Knowledge of security, privacy, and responsible AI guidelines.</li><li>Open-source contributions or published AI/ML projects.</li></ul><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI/ML engineering: 2 years (Preferred)</li></ul><p>Work Location: In person</p>

Flatfile

<div><div><p>Location</p><div>
New York City</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div>
Engineering</div></div><div><p>
Compensation</p><ul><div><p>
Estimated Base Salary $220K &ndash; $300K &bull; Offers Equity</p></div></ul><div><div>
In accordance with applicable law, the following represents Flatfile's reasonable estimate of the range of possible compensation for this role if hired in Colorado.</div></div></div></div>
<br><div><div><p>Overview</p><p>
</p></div><div></div><div><div><div>About Flatfile</div><p>
Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.</p><p></p><p>
What is an &quot;AI Engineer&quot; at Flatfile</p><p>
You&rsquo;ll work at the intersection of conventional software engineering and machine learning, focusing on applying AI to solve real-world problems rather than fundamental ML research.</p><p>
As James Brady from Elicit notes: &quot;If you're a software engineer who relishes the more difficult parts of backend code&mdash;like concurrency, fault-tolerance, and distributed systems&mdash;you could be a great AI engineer.&quot;</p><p></p><p><b>
This role reports to: </b>Jon Bell, VP of Product</p><p></p><p>
What you'll do</p><ul><li><div>
You'll own critical parts of our AI-powered data platform</div></li><li><div>
Design and implement robust backend services that integrate with various AI models for data understanding and transformation</div></li><li><div>
Build fault-tolerant systems that can handle the high latency and variance inherent in working with large language models</div></li><li><div>
Create streaming architectures for real-time AI processing of customer data</div></li><li><div>
Develop evaluation frameworks to measure and improve our AI features' accuracy and reliability</div></li><li><div>
Work closely with our product team to prototype and ship new AI capabilities</div></li><li><div>
Help learn and establish best practices for AI development at Flatfile</div></li><li><div>
You&rsquo;ll also get to write some good old-fashioned code and ship more traditional software features too :)</div></li><li><div>
Oh, and we all fix bugs</div></li></ul><p></p><p><b>
Our tech stack</b></p><p>
In this role, you&rsquo;ll use LangGraph, various LLMs and open source models, React, Typescript, our in-house design system Baseline, Node (Nest.js), Prisma, Postgres, Git, Flatfile&rsquo;s homegrown data engine, and utilize AI for performance gains on a daily basis.</p><p></p><p>
What you bring to the role</p><p><b>
Essential</b></p><ul><li>Experience building production backend systems</li><li>Strong computer science fundamentals, especially in distributed systems</li><li>Experience handling asynchronous workflows and building resilient services</li><li>Genuine enthusiasm for AI technology and its practical applications</li><li>Track record of shipping customer-facing features</li></ul><p></p><p><b>
Great to have</b></p><ul><li>Experience working with LLMs in production environments</li><li>Background in data processing or ETL systems</li><li>Familiarity with AI model deployment and optimization</li><li>Experience with streaming architectures</li><li>Open source contributions to AI/ML tools</li></ul><p></p><p>
What you'll find at Flatfile</p><ul><li>A chance to shape the future of enterprise data automation</li><li>A highly collaborative, fast-paced engineering culture</li><li>Ownership of significant technical challenges and no PM overlords</li><li>The opportunity to work with cutting-edge AI technology</li><li>Competitive compensation and equity</li><li>A team of humble and audacious builders who take pride in their work</li></ul></div></div></div><p></p>

Make Fortune Business Solutions

<p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>What You&rsquo;ll Do (Key Responsibilities)</b></p><ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul><p><b>Who You Are (Required Skills)</b></p><ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Nice to Have (Preferred Skills)</b></p><ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul><p>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.</p><p><b>What We Offer</b></p><ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Application Question(s):</p><ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

Maeme's Limited

<p><b>We're Hiring: AI Engineer</b></p><p><b>Location:</b> Islamabad, Pakistan (On-Site)</p><p><b>Full-Time</b></p><p>Maeme&rsquo;s Piri Piri, a rapidly growing international food brand, is expanding its technological frontier by integrating intelligent systems into its operations. We're looking for visionary talent to join our Islamabad-based innovation team as <b>AI Engineer</b>. As an <b>AI Engineer</b>, you will design, develop, and deploy AI and machine learning models to build intelligent products and services.</p><p><b>Responsibilities:</b></p><p>&middot; Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems).</p><p>&middot; Collaborate with cross-functional teams to gather requirements, design data pipelines, and integrate AI models into products.</p><p>&middot; Conduct model training, tuning, and evaluation using large-scale datasets.</p><p>&middot; Optimize models for performance, accuracy, and scalability in real-world environments.</p><p>&middot; Stay up-to-date with the latest advancements in AI/ML technologies and apply them where relevant.</p><p>&middot; Support the deployment and monitoring of models in production environments.</p><p>&middot; Maintain clear documentation and contribute to internal knowledge sharing.</p><p><b>Requirements:</b></p><p>&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</p><p>&middot; Proven experience (2+ years preferred) building and deploying machine learning models in production.</p><p>&middot; Strong proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</p><p>&middot; Solid understanding of data structures, algorithms, and statistics.</p><p>&middot; Experience working with large datasets, data preprocessing, and feature engineering.</p><p>&middot; Familiarity with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes) is a plus.</p><p>&middot; Excellent problem-solving skills and ability to work in a collaborative environment.</p><p>&middot; Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).</p><p>&middot; Knowledge of MLOps practices and tools (e.g., MLflow, Airflow, Kubeflow).</p><p>&middot; Background in reinforcement learning, generative models, or graph neural networks.</p><p>Apply now: Send your Resume at</p><p>&middot; E.mail: hhtechsolution01@gmail.com</p><p>&middot; WhatsApp: +923174967217</p><p>&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

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