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artificial intelligence specialist

NESL-IT (SMC PVT) LTD

Location: Onsite &mdash; Islamabad (I-10/3) Employment Type: Full-time (6 pm to 2 am) We are seeking a skilled and highly motivated AI/ML Engineer with 4+ years of hands-on experience in designing, developing, deploying, and optimizing machine learning models and AI-driven solutions. The ideal candidate will have a strong background in ML algorithms, deep learning frameworks, data engineering, and model deployment in production environments.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and deep learning models for real-world applications.</li><li>Build scalable data pipelines, preprocess datasets, and perform feature engineering.</li><li>Develop, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Work closely with data engineers, software engineers, and product teams to translate business needs into ML solutions.</li><li>Deploy and monitor models using MLOps tools (Docker, Kubernetes, MLflow, AWS/GCP/Azure services).</li><li>Conduct research on new algorithms, technologies, and tools to enhance model accuracy and performance.</li><li>Build REST APIs or microservices to integrate models into production systems.</li><li>Analyze model performance, optimize pipelines, and troubleshoot issues in production.</li><li>Create thorough technical documentation and communicate findings effectively.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Software Engineering, or related field.</li><li>4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.</li><li>Strong understanding of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.</li><li>Hands-on experience with Python, including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li><li>Solid understanding of data preprocessing, model evaluation, tuning, and validation techniques.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Experience with large language models (LLMs) and prompt engineering is a plus.</li><li>Knowledge of big data tools (Spark, Hadoop) is a plus.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>B2B Sales: 5 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

Webrange Solutions

Webrange Solutions is a dynamic software development company that prides itself on it's team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.Key Responsibilities<ul><li>Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).</li><li>Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.</li><li>Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.</li><li>Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.</li><li>Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.</li><li>Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.</li><li>Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.</li></ul>Requirements<ul><li>Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.</li><li>Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.</li><li>Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).</li><li>Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.</li><li>Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.</li><li>Experience with SQL/NoSQL databases is a plus.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.</li><li>Strong problem-solving skills and a passion for NLP and generative AI research.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer

HyperSoft Tech

About the RoleWe are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and implement AI solutions. The candidate will work on machine learning models, data analysis, and AI-driven applications to help our products deliver intelligent features.Key Responsibilities<ul><li>Develop, train, and deploy AI/ML models for various applications.</li><li>Work with data scientists, developers, and product teams to integrate AI solutions into products.</li><li>Preprocess, analyze, and interpret large datasets to build AI models.</li><li>Ensure model performance, accuracy, and scalability.</li><li>Collaborate in code reviews, model testing, and deployment processes.</li><li>Stay updated with AI/ML research, tools, and industry trends.</li><li>Document processes, methodologies, and model performance metrics.</li></ul>Requirements &amp; Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI/ML development.</li><li>Strong knowledge of Python, R, or Java, and AI frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS, Azure, GCP) for AI deployment.</li><li>Good problem-solving, analytical, and teamwork skills.</li><li>Understanding of software development lifecycle (SDLC) is a plus.</li></ul>Preferred (Optional)<ul><li>Experience in NLP, computer vision, or generative AI.</li><li>Knowledge of deploying AI models in production environments.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer (Mid-Level)

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

AI Data Scientist

Creativelogicx

<ul><li>Design machine learning systems</li><li>Research and implement machine learning algorithms and tools</li><li>Manage and direct research and development processes to meet the needs of our AI strategy</li><li>Develop machine learning applications in alignment with project requirements and business goals</li><li>Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems</li><li>Select appropriate datasets and data representation methods</li><li>2+ years of experience applying AI to practical uses</li><li>Experience with deep learning, NLP, and TensorFlow</li><li>Experience writing robust code in Python, Java, and/or R</li><li>Experience in REST API development, NoSQL database design, and RDBMS design and optimizations</li><li>Knowledge of basic algorithms and object-oriented and functional design principles</li><li>Knowledge of data structures, data modeling, and software architecture</li></ul>Job Type: Full-timeWork Location: In person

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
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172 artificial intelligence specialist jobs IN Islamabad

AI/ML Engineer

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AI Data Scientist

AI/ML Engineer

AI Data Scientist