nlp engineer

Argon Tech

About the RoleWe are seeking a skilled NLP Engineer to join our AI team and drive the development of intelligent, human-like chatbot and voice-based systems. The ideal candidate will have hands-on experience in natural language processing (NLP), conversational AI, and large language models (LLMs), with a strong focus on building scalable, real-time chatbot and voice assistant solutions.Key Responsibilities<ul><li>Design, develop, and optimize NLP-based chatbot systems for text and voice interactions.</li><li>Implement conversational flows, intent classification, and entity recognition.</li><li>Fine-tune and deploy LLMs and RAG (Retrieval-Augmented Generation) pipelines.</li><li>Optimize voice latency for real-time conversational experiences in speech-enabled bots.</li><li>Integrate chatbots and voice assistants with APIs, databases, and third-party platforms.</li><li>Analyze chatbot/voice bot performance, user interactions, and continuously improve accuracy and response times.</li><li>Collaborate with product, design, and engineering teams to deliver robust AI-driven solutions.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>Strong knowledge of NLP techniques: tokenization, embeddings, NER, sentiment analysis, intent recognition.</li><li>Hands-on experience with Python NLP libraries (NLTK, spaCy, Hugging Face Transformers, Rasa, LangChain, etc.).</li><li>Experience with speech-to-text (STT) and text-to-speech (TTS) systems.</li><li>Proven experience reducing voice latency in conversational systems.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for model deployment.</li><li>Strong problem-solving and communication skills.</li></ul>Nice to Have<ul><li>Experience with multilingual chatbots and voice assistants.</li><li>Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.).</li><li>Familiarity with real-time audio streaming protocols (WebRTC, gRPC, etc.).</li></ul>Job Types: Full-time, ContractApplication Question(s):<ul><li>Please share your current salary, expected and notice period.</li></ul>Experience:<ul><li>NLP: 3 years (Preferred)</li></ul>Location:<ul><li>Lahore Johar Town (Preferred)</li></ul>Willingness to travel:<ul><li>100% (Preferred)</li></ul>Work Location: On the road

NLP Engineer

Vodafone

<div><div><div><div><h2 class="jobSectionHeader">Join Us</h2>
</div><div>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</div></div><div><div><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
</div><div>
As a Lead NLP Engineer specializing in Generative AI, you will spearhead the design, development, and deployment of cutting-edge GenAI solutions across various business domains. You will collaborate with cross-functional teams including data science, product management, and business stakeholders to drive innovation and scalability in AI initiatives. In this leadership role, you will be responsible for mentoring senior and junior AI engineers and aligning technical strategy with business goals. 
 
You will also act as a business translator, ensuring that AI initiatives are closely aligned with business needs and that technical concepts are clearly communicated to non-technical stakeholders. A strong understanding of business processes, value creation, and AI&rsquo;s strategic impact is essential for success in this role.
 
 
Key Responsibilities 
 
Lead the design and implementation of Generative AI models (e.g., LLMs, diffusion models) tailored to business needs 
 
Architect scalable and secure AI pipelines leveraging cloud/on-prem infrastructure 
 
Guide the development and fine-tuning of LLMs using PEFT, prompt engineering, or RAG 
 
Evaluate and integrate open-source and proprietary GenAI tools 
 
Collaborate with product and domain teams to identify and prioritize impactful GenAI use cases 
 
Translate business requirements into technical solutions and vice versa 
 
Act as a liaison between technical teams and business stakeholders to ensure alignment and understanding 
 
Ensure AI solutions comply with responsible AI, privacy, and security standards 
 
Mentor and coach AI team members, supporting their technical growth 
 
Monitor emerging trends in GenAI and proactively suggest innovative applications</div></div><div><div><h2 class="jobSectionHeader">
Who you are</h2>
</div><div>
MSc or PhD in Computer Science, AI, Machine Learning, or a related field (PhD preferred) 
 
6+ years of experience in AI/ML, with at least 2 years in Generative AI projects 
 
Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Hugging Face 
 
Strong understanding of transformer architectures and LLM frameworks 
 
Experience deploying AI solutions in production environments 
 
Familiarity with vector databases, RAG pipelines, LangChain, or similar tools 
 
Strong business acumen and the ability to understand and shape business value through AI 
 
Proven ability to translate business problems into AI solutions and communicate results clearly 
 
Excellent communication and leadership skills 
 
Experience in telecom or regulated industries is a plus</div></div><div><div><h2 class="jobSectionHeader">
Not a perfect fit?</h2>
</div><div>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</div></div><div><div><h2 class="jobSectionHeader">
What's in it for you</h2>
</div><div><div>
We like to keep them flexible: 
 
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul> 
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr 
 
https://www.vodafone.com.tr/insan-kaynaklari 
 
Instagram: https://www.instagram.com/vodafonekariyer/ 
 
Youtube: https://www.youtube.com/user/VFTurkiye 
 
Data Privacy 
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader">
Who we are</h2>
</div><div>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.</div></div></div></div>

Lead NLP Engineer

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 1-2 years of hands-on experience in Python and NLP-related projects.
 </li>
 <li>
 Work on Python-based data projects using packages such as pandas and numpy.
 </li>
 <li>
 Perform data cleaning, preprocessing, and manipulation to prepare datasets for analysis.
 </li>
 <li>
 Implement basic NLP techniques such as tokenization, vectorization, and word embeddings.
 </li>
 <li>
 Collaborate on NLP projects with a focus on feature extraction and text analysis.
 </li>
 <li>
 Work on small to medium-scale projects that involve practical applications of NLP concepts
 </li>
 <li>
 Develop and integrate large language model (LLM) applications into existing systems, demonstrating understanding of machine learning frameworks.
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Practical exposure to building and deploying NLP models and applications.
 </li>
 <li>
 Proficiency in Python, including libraries such as pandas and numpy.
 </li>
 <li>
 Basic knowledge of NLP techniques like data preprocessing, tokenization, and vectorization.
 </li>
 <li>
 Hands-on experience in building mini-projects related to NLP.
 </li>
 <li>
 Familiarity with NLTK, scikit-learn (sklearn), or similar libraries is a plus.
 </li>
 <li>
 Experience with large language models (LLM) and their implementation is a strong advantage.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently or in a team setting.
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

AI Engineer / Python

Agnify Technology Pvt Ltd

Job Description: As a Machine Learning Engineer at Agnisys, you will play a crucial role in designing, developing, and deploying machine learning models, particularly in the field of Natural Language Processing (NLP). The ideal candidate should have a strong foundation in mathematical concepts of ML algorithms and hands-on experience with transformer architectures. Responsibilities: 1. **Mathematical Proficiency:** - Demonstrate a solid understanding of mathematical concepts underlying machine learning algorithms. - Apply mathematical principles to design and optimize machine learning models. - Good understanding of Supervised Learning algorithms like Logistic Regression, Linear Regression, SVM, Decision Trees, Ensemble Techniques (Bagging, Boosting), etc. - Experience with Unsupervised Learning algorithms, such as clustering (k-means, hierarchical clustering).2. **NLP Expertise:** - Possess practical experience in working with NLP technologies. - Showcase a deep understanding of transformer architecture and its applications in NLP tasks.3. **Advanced Concepts:** - Familiarity with advanced concepts such as prompt engineering, retrieval augmented generation, and reinforcement learning is highly desirable. - Proactively stay updated on the latest advancements in ML, including Deep Neural Networks (MLP, CNN, LSTM, GRUs), and incorporate relevant techniques into projects.4. **Deployment Experience:** - Have a proven track record of deploying machine learning models into production environments. - Ensure scalability, reliability, and maintainability of deployed ML systems. Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field. - Solid understanding of machine learning algorithms, statistical modeling, and supervised/unsupervised learning techniques. - Hands-on experience with NLP technologies, with a focus on transformer architectures. - Familiarity with prompt engineering, retrieval augmented generation, and reinforcement learning is a plus. - Proven experience in deploying machine learning models in production. - Strong programming skills in languages such as Python, TensorFlow, and PyTorch. - Excellent problem-solving and communication skills.Job Type: Full-timePay: &#8377;360,020.77 - &#8377;1,595,226.79 per yearBenefits:<ul><li>Health insurance</li><li>Work from home</li></ul>Work Location: In person

Machine Learning Engineer

REIZEND PRIVATE LIMITED

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments.Key Responsibilities<ul><li>AI Model Development and Optimization:</li><li>Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch.</li><li>Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications.</li><li>Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks.</li><li>Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives.,</li><li>Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures.</li><li>Natural Language Processing (NLP):</li><li>Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems.</li><li>Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks.</li><li>AI Model Deployment and Frameworks:</li><li>Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments.</li><li>Create robust data pipelines for training, testing, and inference workflows.</li><li>Implement CI/CD pipelines for seamless integration and deployment of AI solutions.</li><li>Production Environment Management:</li><li>Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability.</li><li>Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift.</li><li>Data Engineering and Pipelines:</li><li>Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets.</li><li>Integrate with cloud-based data storage and retrieval systems for seamless AI workflows.</li><li>Performance Monitoring and Optimization:</li><li>Optimize AI model performance through hyperparameter tuning and algorithmic improvements.</li><li>Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.)</li><li>Solution Design and Architecture:</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions.</li><li>Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints.</li><li>Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases.</li><li>Stakeholder Engagement:</li><li>Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines.</li></ul>Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs.Experience: 2 - 5 years of experience Salary : 5-11 LPAJob Types: Full-time, PermanentPay: &#8377;500,000.00 - &#8377;1,100,000.00 per yearWork Location: In person

AI ENGINEER - Experienced(2+ Yrs)

MayilVeera Tech Solutions

Job DescriptionWe are looking for a highly motivated AI/ML Engineer to join our team at MayilVeera. The ideal candidate should have a strong academic foundation in Artificial Intelligence and Machine Learning, with hands-on experience in training, fine-tuning, and deploying AI models. Fresh graduates with good knowledge in AI and passion for real-world applications are encouraged to apply.Key Responsibilities<ul><li>Design, develop, and deploy AI-driven solutions, including NLP-based chatbots.</li><li>Train, fine-tune, and evaluate machine learning and deep learning models using real-world datasets.</li><li>Implement and optimize models for intent classification, entity extraction, sentiment analysis, and text generation.</li><li>Work with NLP tools and libraries to build conversational interfaces.</li><li>Collaborate with developers, product managers, and designers to deliver seamless AI experiences.</li><li>Integrate AI solutions with backend systems, APIs, and cloud platforms.</li><li>Monitor, evaluate, and improve models based on performance metrics and user feedback.</li><li>Stay updated with the latest trends in AI research and machine learning.</li></ul>Required Skills &amp; QualificationsArtificial Intelligence / Machine Learning<ul><li>Strong understanding of supervised, unsupervised, and deep learning algorithms.</li><li>Hands-on experience in model training, validation, tuning, and deployment.</li><li>Proficiency in ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost.</li><li>Ability to work with large datasets for model experimentation.</li></ul>Natural Language Processing (NLP)<ul><li>Experience with intent recognition, entity extraction, semantic search, and language modeling.</li><li>Proficiency with libraries such as SpaCy, NLTK, HuggingFace Transformers, Rasa NLU.</li><li>Knowledge of integrating or fine-tuning pre-trained LLMs (GPT, BERT, etc.).</li></ul>Perks &amp; Benefits<ul><li>Opportunity to work on cutting-edge AI projects.</li><li>Hands-on exposure to real-world ML/NLP applications.</li><li>Guidance and mentoring in AI model development and deployment.</li><li>Growth-oriented environment for freshers.</li></ul>Job Type: Full-timePay: &#8377;10,000.00 - &#8377;12,000.00 per monthApplication Question(s):<ul><li>Rate yourself in the Mobile App Development. </li></ul>Work Location: In person

AI/ML Engineer

Workforce Next Pvt Ltd

Job Title: Data Scientist Location: Remote Experience: 5 years Job Type: ContractualAbout the RoleWe are seeking a highly skilled and innovative Data Scientist to join our forward-thinking team. The ideal candidate will be passionate about Classical Machine Learning, Conversational AI, and Deep Learning Systems, with a strong ability to translate complex mathematical challenges into scalable ML/AI solutions. You will design, develop, and optimize cutting-edge AI-based systems, with a particular focus on NLP and Large Language Models (LLMs), ensuring seamless and engaging user experiences.Key Responsibilities<ul><li>Generative AI Solutions: Design and develop advanced AI solutions using GANs, VAEs, Transformers, and other state-of-the-art models.</li><li>Classical ML Models: Build and optimize models such as regression, decision trees, SVMs, random forests, clustering, and gradient boosting to solve diverse business problems.</li><li>Deep Learning Systems: Train, fine-tune, and deploy CNNs, RNNs, LSTMs, GANs, and Transformers to deliver high-performing solutions.</li><li>NLP &amp; LLM Optimization: Work on NLP tasks and prompt engineering to refine outcomes for LLMs (e.g., GPT, BERT, T5).</li><li>Data Management &amp; Feature Engineering: Process, augment, and engineer features from structured and unstructured datasets.</li><li>Model Evaluation &amp; Monitoring: Perform hyperparameter tuning (grid/random/Bayesian optimization), track model drift, and ensure fairness, robustness, and accuracy.</li><li>Code &amp; System Design Reviews: Participate in reviews to ensure scalable, efficient, and maintainable AI/ML architecture.</li><li>Collaboration &amp; Research: Partner with cross-functional teams and stay updated with the latest advancements in AI/ML to bring innovation into production systems.</li></ul>Qualifications<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Mathematics, Statistics, or related fields.</li><li>ML/DL Expertise: Hands-on experience in classical ML techniques and deep learning systems with frameworks like TensorFlow, PyTorch, or Keras.</li><li>NLP Expertise: Proven experience with NLP and LLMs (GPT, BERT, T5, etc.), including prompt engineering and fine-tuning.</li><li>Programming: Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Hugging Face Transformers, NLTK, or SpaCy.</li><li>Math &amp; Statistics: Solid foundation in probability, statistics, and optimization techniques.</li><li>Deployment &amp; MLOps: Experience deploying ML models into production (AWS SageMaker, Azure ML, GCP AI, or similar). Familiarity with MLOps pipelines is a plus.</li><li>System Design: Understanding of distributed systems, parallel processing, and scalable architectures.</li></ul>Soft Skills &amp; Behavioral Attributes<ul><li>Strong team player with excellent communication skills.</li><li>Self-motivated with ownership of responsibilities and outcomes.</li><li>Detail-oriented with strong presentation skills.</li><li>High level of reliability, integrity, and trustworthiness.</li><li>Ability to manage time effectively and meet/exceed deadlines.</li><li>Fast learner with a strong aptitude for exploring new technologies.</li></ul>Why Join Us?<ul><li>Work on cutting-edge AI/ML and NLP projects with real-world impact.</li><li>Collaborative, research-driven, and growth-oriented environment.</li><li>Opportunity to experiment with LLMs, Generative AI, and advanced deep learning systems.</li><li>Competitive compensation and career growth opportunities.</li></ul>Job Type: Contractual / Temporary Contract length: 3 monthsPay: &#8377;60,000.00 - &#8377;80,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI: 5 years (Required)</li><li>Machine learning: 5 years (Required)</li><li>Python: 5 years (Required)</li><li>AWS: 5 years (Preferred)</li></ul>Work Location: Remote

Data Scientist

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