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ai data scientist

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>
i6GpPhb9iD</div>

AI Data Scientist

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>

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Karachi
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

Data Scientist

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Karachi<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
1pbGdv7h1W</div>

Crossover

<div>
 Imagine a learning model where children complete a full academic day in two intensely focused hours, then spend their afternoons launching podcasts, painting murals, or mastering back-handsprings. That's the 2-Hour Learning system driving Alpha Anywhere&mdash;and you're the strategist tasked with maintaining its precision while innovating for tomorrow.
 
 
 From any location with reliable internet, you'll convert vast volumes of AI-generated performance data into precise, actionable interventions that guide each learner toward 90% mastery and beyond. When obstacles arise, you'll join live coaching sessions, eliminate roadblocks in real time, and restore each student's momentum with renewed confidence. At the same time, you'll analyze deep currents of student performance data, identifying concealed patterns that release children's full capabilities and architecting next-generation AI tools capable of doubling learning velocity.
 
 
 Parents observe rising self-assurance, students accelerate their learning pace twofold, and you witness the measurable effect of every insight you generate, every AI process you streamline, and every inquiry you pursue. Prepared to convert data into acceleration fuel for young learners? Continue below.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Constructing highly precise Academic Data Reports and performing systematic analysis to identify issues, highlight irregularities, and initiate corrective action within 48 hours
 </li>
 <li>
 Leading urgent "rescue" sessions and facilitating post-assessment coaching conversations to eliminate blockers, distinguish comprehension gaps from execution errors, and sustain student engagement
 </li>
 <li>
 Assessing and deploying new educational applications and curriculum while creating AI/LLM prototypes to advance learning methodologies and address targeted challenges
 </li>
 <li>
 Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor continues to develop
 
 
 </li>
 </ul>
 
 What You Won&rsquo;t Be Doing
 
 
 
 <ul>
 <li>
 Attending prolonged meetings or delivering standard presentation decks without clear visibility to tangible results
 </li>
 <li>
 Scoring assignments, crafting lesson plans, or administering conventional educational programs&mdash;AI and innovation power our approach
 </li>
 <li>
 Remaining in abstract strategic planning without execution or becoming confined to repetitive tasks&mdash;this position is applied and fast-paced
 
 
 </li>
 </ul>
 
 Lead Data Scientist Key Responsibilities
 
 
 
 Accelerate student learning outcomes through AI-powered analysis and immediate academic intelligence, evidenced by elevated metrics such as 2&times; learning velocity, app engagement, lesson comprehension, response accuracy, and diminished adverse learning behaviors across the Alpha Anywhere network.
 
 
 
 Basic Requirements
 
 
 
 <ul>
 <li>
 Proven experience in data science or comparable role, education, EdTech, or a student-facing capacity combining analytical and interpersonal dimensions
 </li>
 <li>
 Competence in Google Sheets data analysis (lookups, pivot tables, filtering)
 </li>
 <li>
 Strong emotional intelligence, effective communication abilities and a student-appropriate coaching approach
 </li>
 <li>
 Track record building workflows and automations using AI
 
 
 </li>
 </ul>
 
 Nice-to-have Requirements
 
 
 
 <ul>
 <li>
 Foundation in learning science, educational theory, or verified achievements enhancing outcomes through data-informed approaches
 </li>
 <li>
 Familiarity with Generative AI, prompting methodologies, and introductory coding proficiency (Python, JavaScript, etc.) for querying AI APIs
 
 
 </li>
 </ul>
 
 About 2 Hour Learning
 
 
 
 Education is broken, but 2 Hour Learning is proving it doesn&rsquo;t have to be. They&rsquo;re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day.
 
 
 
 With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they&rsquo;re proving that smarter learning is possible. At 2 Hour Learning, it&rsquo;s talent and performance that matter.
 
 
 
 They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system.
 
 
 
 2 Hour Learning is reprogramming learning for the AI era.
 
 
 
 
 Here&rsquo;s How They&rsquo;re Fixing It.
 
 
 
 There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!
 
 
 
 Working with us
 
 
 
 This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.
 
 
 Crossover Job Code: LJ-5238-PK-Kar&amacr;chi-LeadDataScient.003
 
 
</div>

Lead Data Scientist, 2 Hour Learning (Remote) - $60,000/year USD

Lumida Wealth

<div>
 
 
 About Lumida
 
 
 
 
 
 
 Lumida is a digital-first wealth advisor for people who want access to the same opportunities as institutions &mdash; public markets, private deals, and alternatives.
 
 
 
 
 
 Our mission is to transform wealth management &mdash; combining investment excellence and the best of trust and estate planning in a modern, tech-first experience.
 
 
 
 
 
 Our team shares the same mindset as our clients &mdash; curious, original, and driven to build what doesn&rsquo;t yet exist.
 
 
 
 
 
 Recognized for our differentiated, non-consensus insights, Lumida is reshaping how modern investors build and enables its clients to invest beyond the ordinary.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a
 
 Quantitative Equity Analyst
 
 with strong mathematical depth, scientific rigor, and a passion for systematic investing. You will build backtests, develop quantitative models, analyze factor behavior, research new alpha strategies, and support both long-only and long/short equity strategies.
 
 
 
 
 
 If you are part data scientist, part engineer, and part investor &mdash; this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Quant Research &amp; Backtesting:
 
 
 
 
 
 <ul>
 <li>
 Build, test, and validate systematic equity strategies across asset classes including U.S. large &amp; SMID-cap, global markets, commodities and digital assets.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Run backtests and market studies: factor signals, technical indicators, statistical hypotheses, and cross-sectional regression models.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Evaluate statistical significance, robustness, decay, and real-world execution frictions.
 </li>
 </ul>
 
 
 
 
 
 Model Development:
 
 
 
 
 
 
 
 Develop and refine models for:
 
 
 
 
 
 <ul>
 <li>
 Alpha generation
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Portfolio construction &amp; allocation
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Position sizing &amp; optimization
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Risk forecasting and hedging
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Performance attribution
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Implement models in Python (Pandas, NumPy, scikit-learn, statsmodels).
 </li>
 </ul>
 
 
 
 
 
 Methodology &amp; Tooling Enhancement:
 
 
 
 
 
 <ul>
 <li>
 Stay current with academic and industry research on factor models, risk premia, and machine learning.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Improve Lumida&rsquo;s backtesting infrastructure, factor libraries, and experimental workflows.Draft captions, hooks, scripts, and written content with sharp humor and clarity.
 </li>
 </ul>
 
 
 
 
 
 Documentation &amp; Reporting:
 
 
 
 
 
 <ul>
 <li>
 Produce clear research documents, whitepapers, dashboards, and presentations.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Communicate insights with precision and strong writing skills.
 </li>
 </ul>
 
 
 
 
 
 Ideal Candidate
 
 
 
 
 
 
 
 Education:
 
 
 
 
 
 <ul>
 <li>
 Strong quantitative background: Mathematics, Physics, Statistics, Economics, Computer Science, or related fields.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or higher preferred, or CFA
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 (required).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experience with
 
 R, MATLAB, SQL, Excel,
 
 and standard data science/ML libraries (mlfinlab, pyfolio, backtrader etc).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong understanding of: Probability and statistics, Linear algebra &amp; convex or non-linear optimization,&nbsp;Machine learning
 </li>
 </ul>
 
 
 
 
 
 Quantitative &amp; Finance Knowledge:
 
 
 
 
 
 
 
 Familiarity with:
 
 
 
 
 
 <ul>
 <li>
 Factor investing (value, earnings-yield, momentum, volatility, etc.)
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Risk management frameworks (Developing market-neutral, beta-neutral strategies, optimal hedging and position sizing frameworks)
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Portfolio theory (mean-variance, risk parity, optimization - eg: Black-Litterman, Markowitz, Treynor-Black models).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Backtesting methodologies and empirical finance (Eg: Factor Decay and Turnover analysis, Regime analysis)
 </li>
 </ul>
 
 
 
 
 
 Mindset &amp; Culture Fit:
 
 
 
 
 
 <ul>
 <li>
 
 Highly analytical and intensely curious &mdash; always asking &ldquo;why?&rdquo;
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Problem solver with a scientific and hypothesis-driven approach.
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Strong writing and communication skills.
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Enjoys deep work, complexity, and rigorous thinking.
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 A Leader, Collaborative, and thrives in a fast-paced, high-talent environment.
 
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Interest in markets, quantitative investing, technology, and data.
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 
 
 <ul>
 <li>
 A front-row seat in building next-generation quantitative capabilities at a fast-growing, AI-native RIA.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Direct collaboration with the CIO and the investment team.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Opportunity to publish internal whitepapers and drive strategic research directions.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Above market compensation with long-term growth upside.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Quantitative Equity Analyst

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? It's mandatory to be available on-site. No Freelance or Remote reource/online interviews &amp;assessment.</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Explore 965+ Ai data scientist in Karachi Jobs In Karachi this December. Find roles across top companies and apply now to boost your career.

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AI Data Scientist

AI Data Scientist

Data Scientist

Data Scientist

Lead Data Scientist, 2 Hour Learning (Remote) - $60,000/year USD

Quantitative Equity Analyst

Sr. Artificial Intelligence (AI) Engineer