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Machine Learning Models developer in Pakistan (UTC+5)
I am certified Data Engineer, leading teams to build next generation AI & BI solutions for both startups and dashboarding tools, engineering AI models using latest tools Python (NumPy, SciPy, Pandas, TensorFlow), T-SQL, Tableau & Power BI.
Machine Learning Models developer in Pakistan (UTC+5)
With a decade of experience in Machine Learning, I offer deep expertise in Python, R, and Java. My skills encompass advanced algorithm development, data preprocessing, feature engineering, and model evaluation. I have worked across various domains, including computer vision, natural language processing, and recommender systems. Proficient in deploying models with Docker, Kubernetes, and AWS, I bring hands-on experience in production environments. My expertise extends to TensorFlow and PyTorch, where I leverage deep learning architectures to enhance model performance. I am skilled in SQL for effective data manipulation and have a solid grasp of distributed computing frameworks like Apache Spark. My achievements include developing NLP systems that significantly improved customer satisfaction and employing graph-based algorithms to enhance recommendation system diversity. My focus is on implementing scalable, efficient machine learning pipelines to deliver impactful solutions.
Machine Learning Models developer in Pakistan (UTC+5)
Experience driven AI/ML Engineer with 5+ years of professional experience and I have expertise in developing strong and highly reliable solutions using Deep Learning algorithms with TensorFlow, PyTorch, Transformers and NLP, LLM, Computer Vision (OpenCV, Object Detection), Speech Recognition and Chabot. I also have good knowledge of pattern analysis, Artificial Intelligence algorithms and technologies. Experience with deploying and building AI models in production and utilizing different frameworks such as Django and Django REST Framework (DRF).
Machine Learning Models developer in Pakistan (UTC+5)
**ABOUT ME** As a seasoned AI/ML engineer with over 9 years of dedicated experience, I specialize in the entire spectrum of AI SaaS product development. My recent focus lies in the advancement of Generative AI and Large Language Models, leveraging from vector databases to optimize content accuracy for superior user engagement. Over the course of my career, I have engaged with a diverse array of companies, navigating complex challenges and delivering tangible results through the completion of 80֡ innovative projects. My portfolio encompasses a breadth of industries including Retail, Media, Sports, Security, and Health Care, showcasing a consistent ability to translate visionary concepts into impactful, market leading solutions. **ACHIEVEMENTS** * Ranked in the Top 1% and handpicked to be featured at Upwork's exclusive enterprise event. * Played a part in the journey to industry acclaim, earning trust from top brands including P&G, Nvidia, and AT&S. Featured at Adobe, HubSpot, and beyond! * Achieved top honors with both "Best Student" and "Best Final Year Project" awards from the University of Bradford, UK, for excelling in my degree and capstone project. **EXPERTISE:** * **Scripting & Languages:** Python, C, C++, Matlab, R, Bash * **Tools:** OpenCV, OpenVino, Numpy, Pandas, Spacy, Gensim, Transformers, NLTK, CoreNLP, Other * **Deep Learning frameworks:** Torch / PyTorch, Tensorflow, CUDA/CuDNN GPU Accelerations * **LLMs Platforms & Frameworks:** LangChain, OpenAI, Anthropic, Cohere and more * **Vector Databases:** Pinecone, Chroma, Milvus, Superbase, PgVector * **Restful APIs:** with Flask, Fast, Nginx, Gunicorn, Locust * **Cloud Platforms:** Google Cloud (Compute, GCS), Paperspace, AWS (EC2, S3), Azure * **Deploy models at scale:** optimize your cloud cost with Replicate, Salad, Modal.com * **Hardware:** CPU, GPU/Multi-GPU, TPU, Raspberry PI 4, Coral Dev Board, Nvidia Jetsen TX2 & others * **Edge Accelerators:** Coral Accelerator, Intel Movidius Neural Stick * **OS:** Linux, Windows, MacOS; Containers: Kubernetes, Docker **CERTIFICATIONS** * Generative AI with Large Language Models - DeepLearning.AI & AWS * Machine Learning – Stanford University * Data Science – R Programming
Machine Learning Models developer in Pakistan (UTC+5)
I am an accomplished AI/ML Engineer with a proven track record across diverse projects spanning NLP, Computer Vision, time series forecasting, and recommender systems. My expertise lies in translating complex concepts into practical solutions that drive innovation and deliver tangible results. With a strong foundation in machine learning algorithms and programming, I thrive in collaborative environments where I can leverage my skills to create impactful and cutting-edge solutions.
Machine Learning Models developer in Pakistan (UTC-7)
I'm a Data Scientist with a passion for building predictive models and uncovering hidden patterns in complex datasets. As an AI Developer, I am driven by an insatiable passion for pushing the boundaries of innovation in the realms of AI and Data Science. My expertise lies in the captivating fields of Generative AI and Deep Learning, where I constantly explore the limitless possibilities that cutting-edge technologies offer. Embracing every challenge as an opportunity to innovate and make a real impact in the world of AI, I am a dedicated AI enthusiast with a strong focus on creativity and problem-solving.
Machine Learning Models developer in Pakistan (UTC+5)
6+ years as AI dev | LLM agent| Prompt Engineering | LangChain| GenAI Dynamic and accomplished **Senior Data Scientist with 7 years of experience** across multiple companies. My recent Generative AI project applied to YC and was voted as top 1% by some user. I have helped fintech industry detect over 500,000 frauds through my AI models.
Vetted Machine Learning Models developer in Pakistan (UTC-8)
Results-oriented Senior Machine Learning Engineer with a proven track record of delivering impactful AI solutions that drive business growth. Specializing in the development and deployment of cutting-edge algorithms, I have successfully enhanced customer churn prediction, boosted customer satisfaction scores, and improved fraud detection systems. Skilled in analyzing large datasets to design personalized recommendation engines and optimize machine learning pipelines for real-time data processing. My expertise extends to developing and fine-tuning Large Language Models (LLMs), implementing Agentic Retrieval-Augmented Generation (RAG) systems, and building intelligent chatbots to elevate natural language understanding, automate customer interactions, and simplify access to critical documentation. These systems go beyond traditional query-response mechanisms by providing context-aware, dynamic, and actionable insights. Passionate about integrating state-of-the-art technologies to maximize model performance and operational efficiency. I consistently leverage my ability to research, innovate, and implement data-driven strategies that lead to measurable, game-changing outcomes. Always eager to push the boundaries of AI to deliver strategic value, transform business operations, and revolutionize user engagement through intelligent automation.
Machine Learning Models developer in Pakistan (UTC-7)
As a senior Data Engineer, my professional trajectory has been marked by a focus on leveraging cutting-edge data engineering technologies to drive efficiency and innovation. My expertise spans across Snowflake, ETL processes, AWS, PySpark, and Athena, among other pivotal and advanced data processing frameworks and cloud technologies, including Airflow, Kubernetes, Python, AWS, Azure, and GCP, to design and implement robust data platforms and pipelines. With a foundational academic background, my career has been a journey of continuous learning and application of best practices in the field of data engineering.
Machine Learning Models developer in Pakistan (UTC+5)
I am an AI engineering specialist with extensive experience fine-tuning language models across healthcare and software domains. My stack expands to agentic workflows and syntehtic datasets. Previously woked as a full-stack development and server managemnet for US software firms and Middle Eastern airlines.
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Ready to hire your ideal Machine Learning Models developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Machine Learning Models developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Machine Learning Models developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Machine Learning Models developers can help keep your website up-to-date.
To hire a Machine Learning Models developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Machine Learning Models developers effectively and efficiently. Hire full-time Machine Learning Models developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Machine Learning Models developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Machine Learning Models developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Machine Learning Models developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Machine Learning Models developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Machine Learning Models developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Machine Learning Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Models developers.
Some factors to consider when you hire Machine Learning Models developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Machine Learning Models developers for hire.
Writing a good Machine Learning Models developer job description is crucial in helping you hire Machine Learning Models developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Machine Learning Models developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Machine Learning Models developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Machine Learning Models developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Machine Learning Models developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Machine Learning Models developers to keep up with evolving technology and requirements.
You can find a variety of Machine Learning Models developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Machine Learning Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning Models developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Machine Learning Models developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Machine Learning Models developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Machine Learning Models developers.
Every Machine Learning Models developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Machine Learning Models developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Machine Learning Models developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Machine Learning Models developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Machine Learning Models developers, you can rest assured that all remote Machine Learning Models developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Machine Learning Models developers before we present them to you. As such, all the remote Machine Learning Models developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Machine Learning Models developer in 72 hours, or find a full-time Machine Learning Models developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Machine Learning Models developers.
Depending on the freelance developer job board you use, freelance remote Machine Learning Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning Models developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Machine Learning Models developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Machine Learning Models developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Machine Learning Models developers, check out our FAQs page.