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nlp engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

LN Technologies

We are looking for a AI/ML Engineer who is passionate about Artificial Intelligence and eager to work on real-world AI systems including Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Time-Series models.This role is ideal for someone with strong fundamentals in ML and Python who wants to grow into a production AI engineer.You will work under senior engineers to build, test, and deploy AI models in real-world applications.Key ResponsibilitiesMachine Learning Development<ul><li>Assist in building and training ML/DL models</li><li>Perform data preprocessing and feature engineering</li><li>Train and evaluate models using Python libraries</li><li>Run experiments and document results</li></ul>Computer Vision (Basic to Intermediate)<ul><li>Work with image datasets (classification, detection, segmentation)</li><li>Assist in implementing:</li><li>YOLO models</li><li>CNN-based classifiers</li><li>Image embedding models</li><li>Use OpenCV for image processing</li></ul>NLP &amp; Generative AI (Foundational Level)<ul><li>Work with transformer models (BERT, GPT, etc.)</li><li>Build basic:</li><li>Text classification</li><li>Summarization</li><li>Chatbot pipelines</li><li>Assist in implementing:</li><li>RAG systems</li><li>Embedding-based search</li><li>Prompt engineering experiments</li></ul>Time Series &amp; Predictive Modeling<ul><li>Build simple forecasting models</li><li>Work with:</li><li>ARIMA</li><li>Prophet</li><li>LSTM (basic understanding)</li><li>Analyze trends and detect anomalies</li></ul>Deployment &amp; MLOps (Basic Level)<ul><li>Build simple APIs using FastAPI or Flask</li><li>Assist in Dockerizing ML models</li><li>Understand basic cloud deployment concepts</li><li>Learn about model monitoring and logging</li></ul>Required Skills (Must Have)Technical<ul><li>Strong Python programming</li><li>Good understanding of:</li><li>Machine Learning fundamentals</li><li>Supervised vs Unsupervised learning</li><li>Overfitting/Underfitting</li><li>Model evaluation metrics</li><li>Experience with:</li><li>PyTorch or TensorFlow (at least one)</li><li>Scikit-learn</li><li>Pandas, NumPy</li><li>Basic understanding of Deep Learning concepts</li><li>Familiarity with Git</li></ul>Computer Vision<ul><li>Understanding of CNNs</li><li>Worked on at least one image-based project</li></ul>NLP<ul><li>Basic understanding of transformers</li><li>Experience using HuggingFace (preferred)</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Willingness to learn</li><li>Ability to read documentation and research papers</li><li>Good communication skills</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field</li></ul>Experience:<ul><li>2 to 3 years</li></ul>What Candidate Should Demonstrate<ul><li>GitHub with ML/DL projects</li><li>Kaggle participation (optional but good)</li><li>At least 2&ndash;3 real ML projects:</li><li>Image classification</li><li>NLP project</li><li>Predictive modeling project</li></ul>Bonus Points (Nice to Have)These are NOT mandatory but will strongly increase selection chances:<ul><li>Experience with:</li><li>YOLO (v5/v8)</li><li>Vision Transformers (ViT, DINOv2)</li><li>CLIP embeddings</li><li>Worked on:</li><li>RAG pipelines</li><li>Vector databases (FAISS, Pinecone)</li><li>Fine-tuned an LLM (LoRA / QLoRA)</li><li>Built and deployed a model using FastAPI</li><li>Used Docker</li><li>Experience with Azure / AWS</li><li>Experience handling large datasets</li><li>Knowledge of SQL</li><li>Basic understanding of distributed training</li><li>Open-source contributions</li><li>Strong math background (linear algebra, probability)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with time-series forecasting models like ARIMA, Prophet, or LSTM?</li><li>Please share your current package. </li><li>Please share your expected package. </li><li>How soon can you join?</li><li>Do you have at least 2&ndash;3 years of experience working with Machine Learning models using Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn)?</li><li>Have you worked on at least one image-based project involving Convolutional Neural Networks (CNNs) or image classification?</li><li>Are you familiar with transformer models (e.g., BERT, GPT) and have experience using libraries like HuggingFace for NLP tasks? </li><li>Have you built and deployed an ML model using FastAPI or Flask, including Dockerizing the model? </li></ul>Work Location: In person

Senior AI/ML Developer (Morning Shift)

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

Impetus systems

Impetus Systems (FlowHCM) is looking for an AI EngineerAs an AI Engineer, you will support the development and optimization of AI-driven systems, assist in preparing training data, help integrate LLMs, and collaborate with the team to improve chatbot performance and data workflows. This is a great opportunity for fresh graduates passionate about NLP and modern AI technologies.Key Responsibilities:<ul><li>Training Data Preparation: Organize, clean, and structure datasets for AI model training.</li></ul><ul><li>Data Pipelines: Assist in building and maintaining simple data processing pipelines.</li></ul><ul><li>LLM Integration: Support development teams in integrating large language models via APIs.</li></ul><ul><li>Prompt Engineering &amp; RAG: Learn and apply prompt‑engineering and Retrieval-Augmented Generation techniques.</li></ul><ul><li>Chatbot Optimization: Help enhance chatbot accuracy, responsiveness, and overall performance.</li></ul><ul><li>Embeddings &amp; Tokenization: Work on embedding generation and tokenization tailored to specific use cases.</li></ul><ul><li>Data Collection: Collaborate with the team to gather and process relevant datasets.</li></ul><ul><li>AI Research: Explore emerging AI tools, techniques, and suggest improvements.</li></ul>Required Skills:<ul><li>Python: Basic proficiency in writing and understanding Python code.</li></ul><ul><li>SQL: Ability to work with databases at a fundamental level.</li></ul><ul><li>Debugging: Strong ability to identify and resolve basic issues.</li></ul><ul><li>Data Preprocessing: Understanding of cleaning and transforming raw data.</li></ul><ul><li>Algorithmic Logic: Solid grasp of programming and algorithmic concepts.</li></ul>Education:Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field is mandatory.This position is not open for undergraduates.Experience:Fresh graduates to candidates with up to 6 months of experience in AI, data, or related fields.Location: Sharah‑e‑Faisal, KarachiJob Types: Full-time, FresherWork Location: In person

AI Engineer

Indigo Textile Pvt. Ltd.

JOB DESCRIPTIONWe are seeking a proactive and innovative AI Engineer to join our team. The ideal candidate will be passionate about AI technologies and eager to apply machine learning solutions to real-world challenges.KEY RESPONSIBILITIES<ul><li>Design, develop, and deploy machine learning models and AI applications.</li><li>Evaluate and improve the performance of AI models.</li><li>Collaborate with cross-functional teams to build AI-driven solutions.</li><li>Maintain technical documentation and ensure data privacy &amp; security.</li><li>Transform data science prototypes into production-ready ML systems.</li><li>Stay updated with the latest trends and advancements in AI and machine learning.</li></ul>REQUIRED SKILLS<ul><li>3 to 5 years experience and Hands-on projects in ML, deep learning, NLP, computer vision</li><li>GitHub or portfolio</li><li>Strong understanding of machine learning algorithms and deep learning frameworks</li></ul>Apply at hr@indigo.com.pkJob Type: Full-timeWork Location: In person

Sr. AI Engineer

One Click Solution

We are seeking a skilled AI &amp; Automation Engineer to develop, manage, optimize, and scale small and medium AI agents, while designing and maintaining automation workflows. This role requires hands-on expertise with Python, no-code/low-code platforms (Make.com, n8n, Zapier), and AI agent deployment.Shift: 10 am to 6 pm (Monday to Saturday)Key Responsibilities<ul><li>Deploy, manage, and maintain multiple AI agents for internal and external purposes.</li><li>Design, implement, and optimize automation workflows using Python and no-code platforms.</li><li>Integrate AI agents with existing systems to improve efficiency and scalability.</li><li>Monitor agent performance, troubleshoot issues, and optimize workflows for reliability and speed.</li><li>Document all AI agent setups, workflow automations, and processes for future reference.</li><li>Collaborate with teams to identify automation opportunities and implement AI-driven solutions.</li><li>Stay updated on AI tools, automation trends, and emerging technologies to suggest improvements.</li></ul>Required Skill/Qualification<ul><li>Proficiency in Python scripting for automation tasks.</li><li>Experience with no-code/low-code workflow and agentic platforms platforms(Make.com, n8n, Zapier, Dialogflow, Rasa, GPT-based agents, etc.).</li><li>Ability to manage multiple AI agents simultaneously.</li><li>Familiarity with APIs and system integrations.</li><li>Strong problem-solving, analytical skills, and attention to detail.</li></ul>Preferred<ul><li>Experience in scaling AI agents to handle multiple simultaneous tasks.</li><li>Knowledge of conversational AI and NLP basics (for handling text and voice-based automation).</li><li>Ability to train and document AI agents for business workflows.</li></ul>ExperienceMid-Level: 1-2 years of relevant experience in AI tools, automation workflows, and Python/no-code platforms.Job Type: Full-timeWork Location: In person

AI Automation Engineer

Xynomics

We are looking for motivated and technically skilled professionals to join our Service Engineering Team in the General Diagnostics Department. If you are passionate about field service and working with advanced diagnostic equipment, we encourage you to apply.CANDIDATE REQUIREMENTS<ul><li>BS/ BSc / BTech in Biomedical, Electronics, or Electrical Engineering.</li><li>Minimum 1-2 years of experience in the diagnostic division or a related technical role (for Service Engineer). &amp; 4+ Years for Sr. Service Engineer</li><li>Strong learning ability with adaptability to new technologies.</li><li>Customer-focused mindset with the ability to achieve and exceed satisfaction objectives.</li><li>Good communication and interpersonal skills.</li><li>Willingness to travel for field assignments</li></ul>KEY RESPONSIBILITIES <ul><li>Installation, maintenance of diagnostic equipment at customer sites.</li><li>Troubleshooting technical faults and ensuring timely resolution.</li><li>Performing preventive maintenance and calibration as per standards.</li><li>Providing technical support and user training to customers.</li><li>Preparing service reports and documenting parts usage accurately.</li><li>Coordinating with internal teams.</li><li>Maintaining strong customer relationships through professional service delivery.</li><li>Adhering to safety and quality procedures.</li></ul>Please apply before 15th Feb to careers@hospicaresystems.comPlease mention position in the Subject for Service Engineer or Sr. Service EngineerJob Type: Full-timeWork Location: In person

SERVICE ENGINEER & Sr. SERVICE ENGINEER

Explore 162+ Nlp engineer in Karachi this February. Find roles across top companies and apply now to boost your career.