senior python developer

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senior devops engineer

data scientist

ai / ml engineer

senior data scientist

Cybologics Solutions

Job Title: Data ScientistLocation: Lahore (On-site)Company: Cybologics SolutionsDepartment: Product &amp; TechnologyExperience Level: Mid-SeniorJob Type: Full-TimeAbout the RoleCybologics Solutions is seeking a highly skilled and detail-oriented Data Scientist to join our Product &amp; Technology team. You will be responsible for designing, developing, and deploying machine learning and deep learning models in production environments, with a strong focus on Python, PostgreSQL, and data-driven problem-solving. This role is ideal for someone who enjoys working with text and image data, building robust data pipelines, and bringing AI solutions to life on the cloud.Key Responsibilities<ul><li>Design, develop, and deploy ML/DL models using Python and cloud platforms (AWS, GCP).</li><li>Work extensively with text and image data for model training, evaluation, and deployment.</li><li>Build scalable data pipelines and integrate models into production systems.</li><li>Manage and optimize cloud-based ML workflows for performance and scalability.</li><li>Collaborate with DevOps to configure and maintain production-ready environments.</li><li>Perform data preprocessing, feature engineering, and visualization to support both development and business needs.</li><li>Ensure reproducibility and versioning of experiments, datasets, and models.</li><li>Collaborate with product teams using JIRA and Git for planning and delivery.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>Proven expertise in Python, PostgreSQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.</li><li>Strong hands-on experience in training and deploying ML/DL models into production.</li><li>Proficiency with AWS (S3, EC2, Lambda, SageMaker) and GCP (BigQuery, Colab, Vision AI).</li><li>Solid understanding of data wrangling, cleaning, and analysis.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>Preferred Skills<ul><li>Experience with CI/CD pipelines and MLOps practices.</li><li>Knowledge of Docker/Kubernetes for containerizing and scaling ML models.</li><li>Familiarity with data privacy and compliance when handling sensitive data.</li></ul>Why Join Cybologics Solutions?<ul><li>Work on cutting-edge SaaS and AI products with real-world impact.</li><li>Join a collaborative and innovation-driven environment.</li><li>Opportunities for continuous learning and professional growth.</li><li>Competitive salary and benefits package.</li></ul>Job Type: Full-timeExperience:<ul><li>Data Scientist: 3 years (Preferred)</li><li>Python: 3 years (Preferred)</li></ul>Work Location: In person

Data Scientist

Tkxel

<div>
 
 
 We need a resource&mdash;ideally a data scientist&mdash;who can help prototype and validate this in the client&rsquo;s environment. Key capabilities:
 
 
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 Statistical / econometric modeling (logistic &amp; log-log regressions, hierarchical shrinkage)
 
 
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 Price-optimization or revenue-management experience
 
 
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 Python data stack (pandas, numpy, statsmodels, scikit-learn or PyMC)
 
 
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 Decision-tree segmentation and clustering
 
 
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 Simulation / scenario analysis for guard-rail testing
 
 
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 Solid SQL &amp; data-engineering fundamentals
 
 
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 </ul>
</div>

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
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 Collect, clean, and organize structured and unstructured data from diverse sources.
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 Ensure data accuracy, consistency, and readiness for analysis.
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 Perform thorough EDA to understand data distributions, relationships, and anomalies.
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 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
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 Work closely with business teams to identify trends and patterns that guide decisions.
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 Handle missing data, outliers, and normalization techniques effectively.
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 Transform raw data into features suitable for modeling and insights.
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 Automate and optimize data preparation pipelines.
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 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
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 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
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 Analyze and process unstructured text data for business use cases.
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 Translate complex data problems into clear, actionable insights.
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 Proactively identify opportunities for data-driven improvements across departments.
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 Conduct root cause analysis and support hypothesis-driven investigations.
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 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
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 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
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 </ul>
 
 Qualifications
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
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 2&ndash;3 years of experience in a data science role.
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 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
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 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
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 Solid understanding of machine learning algorithms and data modeling techniques.
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 Strong data visualization and storytelling skills.
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 Excellent problem-solving and critical thinking abilities.
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 Strong communication skills and a collaborative mindset.
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 </ul>
</div>

Data Scientist, Tech

Code Graphers

Key Responsibilities:<ul><li>Design, develop, and deploy scalable machine learning models and algorithms.</li><li>Build robust data pipelines for large-scale data processing and transformation.</li><li>Collaborate with data engineers, software developers, and business stakeholders to define requirements and deliver solutions.</li><li>Perform exploratory data analysis (EDA), feature engineering, and model optimization.</li><li>Implement MLOps practices for continuous integration and deployment of ML models.</li><li>Ensure high-quality data governance, version control, and reproducibility of experiments.</li><li>Translate complex datasets into clear insights and data visualizations for business stakeholders.</li><li>Mentor junior data scientists and contribute to best practices within the team.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.</li><li>4&ndash;6 years of professional experience in data science, ML engineering, or applied machine learning.</li><li>Strong proficiency in Python/R and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).</li><li>Experience with SQL and working with relational/non-relational databases.</li><li>Hands-on experience with data engineering tools (Spark, Hadoop, Airflow, Kafka, etc.).</li><li>Proven expertise in machine learning, statistical modeling, and deep learning techniques.</li><li>Familiarity with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines).</li><li>Experience with cloud platforms (AWS, GCP, Azure) for data science workflows.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred Qualifications:<ul><li>Experience in natural language processing (NLP) or computer vision projects.</li><li>Knowledge of big data ecosystems and distributed computing.</li><li>Familiarity with business intelligence tools (Tableau, Power BI, Looker).</li><li>Prior experience in mentoring or leading junior engineers/data scientists.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable with the onsite setting?</li></ul>Experience:<ul><li>Data Science : 4 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Senior Data Science Engineer

Key Responsibilities:<ul><li>Advanced Model Development:</li><li>Design and implement complex models using machine learning and deep learning, particularly focusing on natural language processing (NLP), named entity recognition (NER), and large language models (LLMs) such as BERT.</li><li>Create complex AI agent using Langchain, llamaIndex, auto-gen</li><li>Create Retrival Augmented Generation (RAG) Applications</li><li>Multi-agent workflows and bots</li><li>Deep Learning and Neural Network Expertise</li><li>Apply a deep theoretical understanding of neural networks to develop sophisticated models that are both efficient and scalable.</li><li>Cross-Domain Integration</li><li>Incorporate knowledge of image processing to integrate multi-modal systems that leverage both text and visual data.</li><li>Research, Documentation, and Reporting</li><li>writing</li><li>Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.</li><li>Creating custom APIs using frameworks such as FAST-API, Django, Flask</li><li>Have experince deploying ML models into production</li><li>Training LLMs with LoRA and QLoRA</li><li>experience with Quantization</li><li>Containerizing code via docker</li><li>Setting up MLOps pipelines with frameworks such as Data version control (DVC)</li><li>Creating Ci/CD pipelines</li><li>Image segmentation</li><li>Object detection</li><li>facial recognition</li></ul>Qualifications:<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience:</li><li>4 - 6 years of experience in ML model development, including hands-on experience with NLP, NER, and LLMs.</li><li>Experience with neural network design and implementation.</li><li>Technical Skills:</li><li>Proficiency in Python, with good knowledge of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience in developing and implementing models using BERT, RAG, LangChain, and other advanced ML techniques.</li><li>Familiarity with image processing techniques</li><li>Deep theoretical understanding of how models work, including underlying mathematical principles.</li><li>Document methodologies and innovations thoroughly; prepare detailed reports and presentations for technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams to ensure models are well-integrated into the company&rsquo;s product ecosystem.</li><li>Optimize neural network architectures and parameters for improved performance across various tasks.</li><li>Utilize techniques like Language Model Chaining and Retriever-Augmented Generation (RAG) to enhance text-based applications.</li></ul>Nice to have :<ul><li>experience with auto scaling</li><li>experience with GANs</li><li>experience with stable diffusion based models</li><li>experience with 3D neural networks</li><li>experience with Meta learning</li><li>worked on Raspberry PI or embedding systems and deployed ML model onto them before</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable with the onsite setting ?</li></ul>Experience:<ul><li>Machine Learning : 4 years (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Senior Machine Learning Engineer

A1Strategez

About the RoleWe are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLMs) to join our AI/ML team. The ideal candidate will have strong foundations in NLP, deep learning, and applied machine learning with practical experience in building, fine-tuning, and deploying LLM-based solutions.Key Responsibilities<ul><li>Design, train, and fine-tune Large Language Models (LLMs) for real-world applications.</li><li>Apply techniques such as prompt engineering, few-shot learning, and transfer learning.</li><li>Work with embeddings, vector databases, and retrieval-augmented generation (RAG).</li><li>Analyze large datasets to build, evaluate, and optimize NLP pipelines.</li><li>Implement model performance monitoring, evaluation metrics, and continuous improvements.</li><li>Collaborate with cross-functional teams to integrate LLM-based solutions into products.</li><li>Stay updated with the latest research in NLP, LLMs, and generative AI.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>2+ years of hands-on experience in NLP or Deep Learning.</li><li>Strong experience with Python, PyTorch/TensorFlow, Hugging Face Transformers.</li><li>Experience with LLM fine-tuning (LoRA, PEFT, full fine-tuning).</li><li>Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS).</li><li>Experience with prompt engineering and evaluation frameworks.</li><li>Strong understanding of ML evaluation metrics (perplexity, BLEU, ROUGE, etc.).</li><li>Familiarity with deploying ML/LLM models in production environments.</li></ul>Nice to Have<ul><li>Experience with cloud platforms (AWS, GCP, Azure).</li><li>Knowledge of MLOps and CI/CD pipelines for ML models.</li><li>Contributions to open-source NLP/LLM projects.</li></ul>What We Offer<ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on cutting-edge Generative AI projects.</li><li>Collaborative and innovative work culture.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon)? (Yes/No)</li><li>Which libraries have you used for NLP/LLMs? (One word: e.g., Transformers, LangChain, etc.)</li><li>Have you implemented prompt engineering techniques in real projects? (Yes/No)</li><li>Do you have hands-on experience with vector databases like Pinecone, FAISS, or Weaviate? (Yes/No)</li><li>One word: Which framework do you prefer &mdash; PyTorch or TensorFlow?</li><li>Have you worked on Retrieval-Augmented Generation (RAG) pipelines? (Yes/No)</li><li>Do you have experience with LoRA/PEFT fine-tuning? (Yes/No)</li><li>Have you deployed an LLM model in a production environment? (Yes/No)</li><li>What&rsquo;s your experience level with Hugging Face Transformers? (Beginner/Intermediate/Advanced)</li><li>Are you open to working on both research and production-level applications of LLMs? (Yes/No)</li></ul>Work Location: In person

Data Scientist (LLM)

Insights Advisory

OVERVIEWJob Title: Senior Actuarial ConsultantDirect Reporting To: ManagerDepartment: ActuarialLocation: Lahore, PakistanRole Purpose: This position will take a responsible role in the execution and oversight of actuarial valuations, ensuring compliance with applicable standards. You will work closely with clients, the appointed actuary, and other key stakeholders to deliver high-quality, accurate, and timely results. This position requires significant experience, technical expertise, and strong leadership abilities to guide the team members and manage complex client engagements effectively.KEY RESPONSIBILITIES<ul><li>Oversee and manage the compilation and organization of employee and financial data received from clients to support actuarial valuations, ensuring adherence to applicable standards such as IAS 19, IFRS for SMEs, and IPSAS 39.</li><li>Lead the process of detailed data validation and ensure the integrity, accuracy, consistency, and completeness of data prior to initiating the valuation process.</li><li>Proactively identify data discrepancies or anomalies and manage resolution by liaising with client representatives to ensure timely and accurate information for the valuation process.</li><li>Act as the primary point of contact between the client and the appointed actuary, ensuring clear and effective communication, and managing the status of valuation deliverables.</li><li>Address complex technical queries raised by clients, auditors, and regulatory bodies, providing expert guidance and solutions aligned with the relevant accounting standards and regulations.</li><li>Lead the preparation, review, and delivery of both draft and final actuarial valuation reports to clients, ensuring they meet all agreed timelines and quality expectations, and effectively managing all ongoing communication related to the engagement.</li><li>Play a key role in the development of tailored proposals for prospective clients, defining scope, methodology, timelines, and associated fees, and ensuring the accuracy and competitiveness of proposals.</li><li>Oversee and manage the tracking of all client engagements, maintaining an up-to-date status tracker, and ensuring timely reporting of progress to the Senior Manager or Director.</li></ul>Required Skills<ul><li>Extensive knowledge of actuarial standards and accounting regulations, with expertise in IAS 19, IFRS for SMEs, and IPSAS 39.</li><li>Strong analytical, statistical, and problem-solving skills, with the ability to handle complex data sets and resolve issues efficiently.</li><li>Exceptional attention to detail and a strategic approach to managing data and valuation processes.</li><li>Excellent communication and client management skills, with the ability to engage effectively with senior client stakeholders, auditors, and regulators.</li><li>In-depth knowledge of Saudi Labor Law, with the ability to stay informed of and adapt to any developments in the legal framework.</li><li>Proven experience in leading teams, managing client relationships, and mentoring staff members.</li><li>Strong organizational and project management skills, with the ability to manage multiple client engagements simultaneously and meet deadlines.</li></ul>Qualification<ul><li>A degree in Accounting &amp; Finance</li><li>ACCA/ACMA/CA-Inter ispreferred</li></ul>Experience<ul><li>Minimum 3 &ndash; 5 years of experience in a relevant role</li></ul>Package<ul><li>Market competitive</li></ul>How to Apply<ul><li>Send your CVs at careers@insightss.co</li></ul>Job Type: Full-timeWork Location: In person

Senior Actuarial Consultant

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829 senior data scientist jobs IN Lahore

Data Scientist

Data Scientist

Data Scientist, Tech

Senior Data Science Engineer

Senior Machine Learning Engineer

Data Scientist (LLM)

Senior Actuarial Consultant