ml engineer

CLOFTECH (PRIVATE) LIMITED

<p><b>AI/ML Engineer</b></p><p>Experience: 2-3+ Years</p><p>Location: Lahore, Pakistan (Hybrid/Remote)</p><p>Type: Full-Time/Part Time</p><p><b>About the Role</b></p><p>We'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.</p><p><b>What You'll Do</b></p><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><p><b>Requirements</b></p><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><p><b>Nice to Have</b></p><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><p>Job Types: Full-time, Part-time</p><p>Pay: Rs250,000.00 - Rs350,000.00 per month</p><p>Expected hours: 20 &ndash; 40 per week</p><p>Experience:</p><ul><li>AI/ML: 2 years (Required)</li></ul><p>Work Location: In person</p>

AI/ML Engineer

Advantal Technologies Pvt. Ltd.

<p><b>Job Title:</b> AI/ML Engineer</p><p><b>Department:</b> Web</p><p><b>Location: </b>Indore</p><p><b>Job Type: </b>Full-time</p><p><b>Experience:</b> 3-5 years</p><p><b>Notice Period: </b>0-15 days (immediate joiners preferred)</p><p><b>Work Arrangement:</b> On-site (Work from Office)</p><p>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.</p><p><b>Key Responsibilities:</b></p><p><b>AI/ML Development</b></p><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><p><b>API Development</b></p><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><p><b>Required Skills &amp; Experience:</b></p><p><b>Must-Have</b></p><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><p><b>Nice-to-Have</b>.</p><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><p><b>Tools &amp; Technologies:</b></p><ul><li>Python, PyTorch, TensorFlow, Keras</li><li>FastAPI, Flask</li><li>Git, Docker, Postgres, OpenSSL</li></ul><p>If interested, please share resume to hr@advantal.net , Contact: 9131295441</p><p>Job Type: Full-time</p><p>Pay: ₹413,602.45 - ₹669,896.37 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

i-Sourcing Technologies Private Limited

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

<div>
 <strong>
  About VML
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 <br/>
 <br/>
 <strong>
  Who we&rsquo;re looking for:
 </strong>
 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.
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 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Competencies
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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.
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 <br/>
 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.

<p>Hi,</p><p>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 performance</p><p><b>Kindly visit our Company Websit</b>e https://www.verdantis.co<b>m / for details.</b></p><p><b>Experience:</b></p><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><p><b>Soft Skills</b></p><p>Strong problem-solving abilities and attention to details</p><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><p><b>Preferred Qualifications</b></p><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><p><b>Key Responsibilities:</b></p><p><b>LLM Development and Fine-</b>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 <b>Models.</b></p><p><b>Prompt Engin</b>eering: 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 <b>tools. Model Deployment and Integ</b>ration: Work on the deployment of LLMs in production environments, ensuring scalability, reliability, and efficiency. Collaborate with software engineers to integrate models into existing pla<b>tforms.</b></p><p><b>Performance Monitoring and Impro</b>vement: Continuously monitor the performance of deployed models and iterate on them to improve accuracy, speed, and relevance of o<b>utputs. Data Mana</b>gement: Collaborate with data scientists and data engineers to manage, preprocess, and curate large datasets for training and evaluation of <b>models. Research and Inno</b>vation: 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 capabi<b>lities.</b></p><p><b>Collabo</b>ration: Work closely with cross-functional teams, including product managers, software developers, and UX/UI designers, to deliver AI-driven features and pr<b>oducts.Documentation and Rep</b>orting: Maintain comprehensive documentation of models, algorithms, and system designs. Report progress and findings to stakeholders in a clear and actionable <b>manner.</b><br/><b>Technical Ex</b>pertise:</p><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><p>Job Type: Full-time</p><p>Work Location: In person</p>

State Street

<div><div>Job Title</div><div>
Senior AI/ML Engineer (Overall 3+ years of professional experience)</div><div></div><div>
Role Description</div><div>
We are in search of a seasoned AI/ML Engineer with a robust background in Python coding and a profound understanding of machine learning, prompt engineering, and cloud-based solutions. The perfect fit for this role would be someone who has previously developed models, fine-tuned performance, amalgamated with pre-existing systems, and transitioned data science models into production. Applicants who have prior experience in devising solution architectures will be given preferential consideration.</div><div></div><div>
In the role of a Senior AI/ML Engineer, you will be instrumental in the creation and implementation of state-of-the-art generative AI and machine learning technologies. Your duties will encompass the following:</div><ul><li><div>
Architect and implement AI and ML models using Python, with an emphasis on precision, efficiency, and scalability.</div></li><li><div>
Proficiency in Prompt Engineering &amp; Optimization Techniques.</div></li><li><div>
Work in tandem with AI/Ml Engineers, Data Scientists and Software Engineers to conceptualize and construct data pipelines, preprocessing utilities, and feature engineering systems.</div></li><li><div>
Make use of cloud platforms, notably Azure, for the deployment and scaling of AI and ML models.</div></li><li><div>
Integrate AI and ML models seamlessly into existing software frameworks and infrastructure.</div></li><li><div>
Refine and optimize models to enhance performance and efficiency.</div></li><li><div>
Familiarity with Agent Frameworks &amp; Libraries.</div></li><li><div>
Stay abreast of the latest breakthroughs in AI and ML technologies and frameworks.</div></li><li><div>
Engage effectively with diverse teams to gather requirements and translate them into technical strategies.</div></li><li><div>
Mentor and offer technical guidance to less experienced team members.</div></li></ul><div>
Core/Must have skills</div><div>
BS, B-TECH or Master&rsquo;s in Computer Science, Computer Information Systems Engineering or Mathematics</div><div>
3to5 years of experience in Python programming for AI/ML development</div><div>
Strong experience in Python programming for AI/ML development</div><div>
Proficiency in machine learning algorithms, techniques, and frameworks</div><div>
Familiarity with large language models, such as GPT or BERT, for advanced natural language processing tasks</div><div>
Hands-on experience with Azure or AWS cloud platforms, including machine learning services and tools.</div><div>
Excellent communication and collaboration skills to work effectively with cross-functional teams.</div><div>
Good to have skills</div><div>
Proficiency in prompt engineering for machine learning models</div><div>
Familiarity with Databricks or Azure or AWS for scalable data processing and analytics</div><div>
Knowledge of containerization technologies, such as Docker, for efficient deployment and management of AI/ML solutions</div><div>
Work Schedule</div><div>
On-premise</div><div>
Keywords (If any)</div><div>
Senior ML Engineer, Generative AI, Senior Python Developer</div><div></div><div>
About State Street</div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div></div>

AI/ML Engineer - Emerging Lead

akwad

<p></p><div><p><b>Job Overview:</b><br>
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems.<br>
<b>Key Responsibilities:</b></p>
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
<p><b>Required Skills and Experience:</b></p>
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
<p><b>Nice-to-Haves:</b></p>
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

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