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

Advantal Technologies

<div><div><div>Department: Web
 
Location: Indore
 
Job Type: Full-time
 
Experience: 3-5 years
 
Notice 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></ul><ul><li>Design and train deep learning models for anomaly detection and
</li></ul>classification using LSTM, IF, and Rule Based detection.
<ul><li>Build synthetic dataset for protocol.
</li></ul><ul><li>Fine-tune thresholds for rule based detection.
</li></ul><ul><li>Implement explainable classification logic for model outputs.
</li></ul><ul><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></ul><ul><li>Raw data ingestion for pre-processing and model training.
</li></ul><ul><li>Model inference endpoints
</li></ul><ul><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></ul><ul><li>Strong experience with PyTorch or TensorFlow for model development.
</li></ul><ul><li>Proficient in Python with experience building RESTful APIs.
</li></ul></div></div><div><div><ul><li>Knowledge of Networking protocols such SNMP, Syslog, BMP.
</li></ul><ul><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></ul><ul><li>Experience in exploring scholarly articles for enterprise solution.
</li></ul><ul><li>Familiarity with multi-tenant SaaS design patterns.
</li></ul>Tools &amp; Technologies:
<ul><li>Python, PyTorch, TensorFlow, Keras
</li></ul><ul><li>FastAPI, Flask
</li></ul><ul><li>Git, Docker, Postgres, OpenSSL
</li></ul>If interested, please share resume to hr@advantal.net , Contact: 9131295441</div></div></div>

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/13/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>2-4 years
</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>FiveRivers Technologies is looking for an AI/ML Engineer with 2-4 years 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, NLP, Computer Vision and Machine Learning, while collaborating with cross-functional teams. 
Responsibilities 
<ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, VLMs, Computer Vision, NLP, Machine Learning, Time-Series and Data Analytics etc. with a focus on LLM based systems. 
</li><li>
Designing system architecture, pipelines, algorithms 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><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
2-4 years experience working on Machine Learning and Artificial Intelligence related jobs. 
</li><li>
BS or MS(preferable) 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, CrewAI, Google ADK, Prompt Engineering, Context Engineering, Advanced 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>
Knowledge and experience in Computer Vision including classical image processing, CNNs, Vision-Transformer and Vision-Language Models. 
</li><li>
Experience working on LLMOps, MLOps, AI Engineering, REST APIs, CI/CD, Cloud and LLM Serving &amp; Inference. 
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs. 
</li><li>
Ability to do problem modeling, system design and creative algorithm design for complex business problems, while maintaining good communication with stakeholders. 
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization. 
</li><li>
Familiarity with other AI areas like Time-Series, Recommendation Systems, Speech, Reinforcement Learning and Image Generation. 
</li><li>
Staying up to date with the latest AI research, advancements and tools.</li></ul><div></div><div> 
Location: DHA Business Hub, Phase VIII, Lahore</div></div></div></div>

<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>

<div>
 
 Who We Are
 
 
 
 VML, part of WPP, 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.
 
 
 
 About WPP
 
 
 
 WPP is the trusted growth partner for the world&rsquo;s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
 
 
 
 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.
 
 
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 
 
 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>

Search 10000+ Ai/ml engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 ai/ml engineer jobs Near Me

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer