ai ml engineer

Advantal Technologies Pvt. Ltd.

Job Title: AI/ML EngineerDepartment: WebLocation: IndoreJob Type: Full-timeExperience: 3-5 yearsNotice Period: 0-15 days (immediate joiners preferred)Work Arrangement: On-site (Work from Office)Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building AI-driven network security solutions. The role involves designing, training, and deploying AI models (e.g. LSTM, Isolation Forest etc.), integrating them into a secure backend, and operationalizing the solution via micro services architecture. Furthermore, candidate must be driven to explore new solutions and do protocol level research for solution optimization and visualization.Key Responsibilities:AI/ML Development<ul><li>Design training pipeline and model performance monitoring.</li><li>Design and train deep learning models for anomaly detection and classification using LSTM, IF, and Rule Based detection.</li><li>Build synthetic dataset for protocol.</li><li>Fine-tune thresholds for rule based detection.</li><li>Implement explainable classification logic for model outputs.</li><li>Validate model performance using custom metrics and datasets.</li></ul>API Development<ul><li>Design and develop Python RESTful APIs using FastAPI or Flask for:</li><li>Raw data ingestion for pre-processing and model training.</li><li>Model inference endpoints</li><li>Trigger calls on anomaly detection.</li></ul>Required Skills &amp; Experience:Must-Have<ul><li>3 to 5 years of experience in AI/ML (especially on anomaly detection).</li><li>Strong experience with PyTorch or TensorFlow for model development.</li><li>Proficient in Python with experience building RESTful APIs.</li><li>Knowledge of Networking protocols such SNMP, Syslog, BMP.</li><li>Understanding of model deployment, serialization, and performance tuning.</li></ul>Nice-to-Have.<ul><li>Familiarity with Docker, GitHub Actions, or CI/CD pipelines.</li><li>Experience in exploring scholarly articles for enterprise solution.</li><li>Familiarity with multi-tenant SaaS design patterns.</li></ul>Tools &amp; Technologies:<ul><li>Python, PyTorch, TensorFlow, Keras</li><li>FastAPI, Flask</li><li>Git, Docker, Postgres, OpenSSL</li></ul>If interested, please share resume to hr@advantal.net , Contact: 9131295441Job Type: Full-timePay: ₹413,602.45 - ₹669,896.37 per yearBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

AI/ML Engineer

CLOFTECH (PRIVATE) LIMITED

AI/ML EngineerExperience: 2-3+ YearsLocation: Lahore, Pakistan (Hybrid/Remote)Type: Full-Time/Part TimeAbout the RoleWe're seeking an AI/ML Engineer to develop and deploy our Named Entity Recognition (NER) service and predictive analytics capabilities. You'll build ML models that automatically infer semantic meaning from data columns, enabling intelligent schema mapping and automated KPI suggestions.What You'll Do<ul><li>Develop and fine-tune NER models (BERT-based) for semantic column inference</li><li>Build and deploy ML models on Amazon SageMaker with real-time inference endpoints</li><li>Create training pipelines for continuous model improvement using customer data patterns</li><li>Implement confidence scoring and threshold logic for auto-mapping vs. human review</li><li>Develop predictive analytics models for customer KPIs (sales trends, utilization, forecasting)</li><li>Build LLM-powered chatbot capabilities for natural language data queries</li><li>Optimize model inference latency and implement batching strategies</li><li>Monitor model performance and implement A/B testing for model versions</li></ul>Requirements<ul><li>2-3+ years of experience in ML engineering or applied AI</li><li>Strong Python skills with ML frameworks (PyTorch, TensorFlow, or Hugging Face)</li><li>Experience with NLP tasks (NER, text classification, embeddings)</li><li>Hands-on experience deploying models to production (SageMaker, Docker, or similar)</li><li>Understanding of transformer architectures (BERT, GPT)</li><li>Experience with ML experiment tracking (MLflow, Weights &amp; Biases)</li><li>Familiarity with AWS ML services (SageMaker, Comprehend)</li><li>Strong understanding of ML ops practices and model monitoring</li></ul>Nice to Have<ul><li>Experience with LLMs and RAG (Retrieval Augmented Generation) architectures</li><li>Knowledge of vector databases (Pinecone, Weaviate, or pgvector)</li><li>Experience building conversational AI / chatbots</li><li>Background in data quality or schema matching problems</li></ul>Job Types: Full-time, Part-timePay: Rs250,000.00 - Rs350,000.00 per monthExpected hours: 20 &ndash; 40 per weekExperience:<ul><li>AI/ML: 2 years (Required)</li></ul>Work Location: In person

i-Sourcing Technologies Private Limited

About the Role:We are looking for a passionate AI/ML Engineer to design and develop next-generation LLM-powered automation, RAG-based chatbots, OCR pipelines, and scalable web scraping systems. You will work on building AI solutions that efficiently process and analyse large-scale structured and unstructured data.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML solutions using Python</li><li>Build and fine-tune LLM and RAG-based applications for domain-specific tasks</li><li>Develop AI APIs using FastAPI / Flask</li><li>Implement OCR pipelines for document extraction and processing</li><li>Build and maintain web scraping systems (Selenium + BeautifulSoup)</li><li>Implement vector search &amp; embedding retrieval using FAISS</li><li>Deploy applications using Docker on AWS / GCP / Azure</li><li>Collaborate with product &amp; engineering teams to deliver production-ready AI solutions</li></ul>Required Skills:<ul><li>Strong Python skills (OOP concepts mandatory)</li><li>Hands-on experience with LLMs, RAG systems, Hugging Face Transformers</li><li>Practical experience with OCR, web scraping, and vector databases</li><li>Experience building FastAPI / Flask APIs</li><li>Cloud deployment experience (AWS / GCP / Azure)</li></ul>Job Type: Full-timePay: ₹35,000.00 - ₹45,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Location:<ul><li>Ahmedabad, Gujarat (Required)</li></ul>Work Location: In person

<div>
 
 About VML
 
 
 
 VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestl&eacute;, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave&trade; Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement &amp; Optimization. In addition, VML&rsquo;s specialist health network, VML Health, is one of the world&rsquo;s largest and most awarded health agencies. VML&rsquo;s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, S&atilde;o Paulo, Shanghai, Singapore, and Sydney.
 
 
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 
 
 
 Who we&rsquo;re looking for:
 
 We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, train, and optimize AI models specifically for real-time content summarization and recommendation.
 </li>
 <li>
 Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions.
 </li>
 <li>
 Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources.
 </li>
 <li>
 Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance.
 </li>
 <li>
 Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment.
 </li>
 <li>
 Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
 </li>
 <li>
 5&ndash;7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP).
 </li>
 <li>
 Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
 </li>
 <li>
 Experience with LangChain and LangGraph.
 </li>
 <li>
 Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar.
 </li>
 <li>
 Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies.
 </li>
 <li>
 Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy.
 </li>
 <li>
 Familiarity with deploying AI models via microservices or APIs.
 </li>
 <li>
 Preferred Qualifications:
 </li>
 <li>
 Understanding of branding, tone, and the user experience (UX) implications in AI-generated content.
 </li>
 <li>
 Experience working with headless CMS (Content Management Systems) and structured content datasets.
 </li>
 <li>
 Knowledge of ethical AI principles and prompt engineering best practices.
 
 
 </li>
 </ul>
 
 Additional Competencies
 
 
 
 <ul>
 <li>
 AI/ML Engineering
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 MLOps &amp; Deployment
 </li>
 <li>
 Python &amp; Data Science
 </li>
 <li>
 Transformer Models
 </li>
 <li>
 Content Summarization &amp; Recommendation
 </li>
 <li>
 Brand &amp; Content Integrity
 
 
 </li>
 </ul>
 We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we&rsquo;ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
 
 
 WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
 
 
 When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
</div>

Verdantis Technologies Pvt. Ltd.

Hi,Verdantis (Ultria Software Pvt Ltd) is the only player to offer end-to-end automated, multilingual Master Data Management (MDM) and Master Data Governance (MDG) solutions for domains such as Material (or Item), Purchased Part and Product. Our Artificial Intelligence (AI) driven automated solutions are used by more than 80 of the Fortune 500 to leverage internal resources to manage their master data better and help their business turn out a better bottom-line performanceKindly visit our Company Website https://www.verdantis.com / for details.Experience:<ul><li>Hands-on experience with LLMs such as GPT, BERT, or similar models.</li><li>Proven experience in prompt engineering and optimizing LLM outputs</li><li>2+ years of experience in AI/ML engineering, with a focus on natural language processing (NLP).</li></ul>Soft SkillsStrong problem-solving abilities and attention to details<ul><li>Excellent communication skills, both written and verbal</li><li>Ability to work collaboratively in a fast-paced, agile environment</li><li>Enthusiasm for learning and applying new technologies</li></ul>Preferred Qualifications<ul><li>Experience in reinforcement learning or other advanced AI techniques</li><li>Familiarity with ethical considerations in AI and responsible AI practices</li><li>Contributions to open-source projects or publications in relevant fields</li></ul>Key Responsibilities:LLM Development and Fine-Tuning: Develop, fine-tune, and optimize large language models to meet specific business needs, including but not limited to GPT, BERT, and other transformer-based Models.Prompt Engineering: Design and optimize prompts to guide LLM outputs effectively, ensuring high-quality and contextually appropriate responses in various applications, including chatbots, virtual assistants, and content generation tools. Model Deployment and Integration: Work on the deployment of LLMs in production environments, ensuring scalability, reliability, and efficiency. Collaborate with software engineers to integrate models into existing platforms.Performance Monitoring and Improvement: Continuously monitor the performance of deployed models and iterate on them to improve accuracy, speed, and relevance of outputs. Data Management: Collaborate with data scientists and data engineers to manage, preprocess, and curate large datasets for training and evaluation of models. Research and Innovation: Stay updated with the latest advancements in AI, machine learning, and natural language processing. Propose and implement innovative solutions to improve existing systems or develop new AI capabilities.Collaboration: Work closely with cross-functional teams, including product managers, software developers, and UX/UI designers, to deliver AI-driven features and products.Documentation and Reporting: Maintain comprehensive documentation of models, algorithms, and system designs. Report progress and findings to stakeholders in a clear and actionable manner. Technical Expertise:<ul><li>Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch).</li><li>Strong understanding of NLP techniques and frameworks.</li><li>Experience with transformer models (e.g., GPT, BERT) and fine-tuning them for specific tasks.</li><li>Hands-on experience with prompt engineering and model optimization.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment.</li></ul>Job Type: Full-timeWork Location: In person

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/16/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>0-1 year
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3> 
<div></div><div> 
<div>FiveRivers Technologies is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.<h4 class="jobSectionHeader"> 
Responsibilities</h4><ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows. 
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research. 
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs. 
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field. 
</li><li>
Good Python programming, problem solving and algorithm design skills. 
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning. 
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc. 
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems. 
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs. 
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization. 
</li><li>
Staying up to date with the latest AI research, advancements and tools. 
</li></ul><div>
Office Location: Business Hub, DHA phase VIII, Lahore.</div></div></div></div>

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Associate AI/ML Engineer_01