software engineer   ai/ml

Mindstorm Studios

<ul><li>Dec 31, 2025</li><li>
Lahore, Pakistan</li><li>
Full-time</li><li>
Engineering</li></ul>
 <div>About Us
Mindstorm Studios is a pioneer in designing, developing, and marketing top-tier games and interactive entertainment enjoyed by millions globally. Since our founding in 2006, we have consistently delivered high-quality products. As partners with Lion Studios, one of the world&rsquo;s leading mobile game publishers, our games have been downloaded over 300 million times worldwide, including global hits like Hexa Sort, Super Salon, Flick Pool, and Alliance Wars.
Headquartered in San Francisco with development operations in Lahore, we are always on the lookout for the brightest talents in game development. We aim to empower our team to create world-class, #1 games. 

About the Role 
We&rsquo;re looking for a highly curious and research-oriented AI/ML Engineer to join our Central Tech team. If you have a solid engineering foundation, love solving difficult problems, and have a strong desire to build and experiment with AI models. You will be collaborating with cross-functional teams to innovate, optimize, and deliver scalable AI-driven systems.
You will work on cutting-edge ideas like AI-assisted level generation, content automation, ML-based analysis tools, and prototyping intelligent systems that improve the game production pipeline.
What You&rsquo;ll Do
<ul><li>Build and experiment with AI/ML models for games.</li>
<li>Design and implement advanced ML models and optimization techniques for high performance AI solutions.</li>
<li>Analyze data, engineer features, and improve model accuracy.</li>
<li>Develop tools/bots to automate game workflows.</li>
<li>Collaborate with designers, developers, and software engineers.</li>
<li>Debug and monitor AI systems post-deployment.</li>
<li>Explore new AI trends and bring innovative ideas to the studio.</li>
<li>Follow best practices for testing, documentation, and version control.</li>
</ul>
What We&rsquo;re Looking For
<ul><li>Strong CS fundamentals and problem-solving skills.</li>
<li>Good Python skills (mandatory).</li>
<li>Comfortable exploring research, experimenting, and building prototypes.</li>
<li>Ability or willingness to work with Unity.</li>
<li>Knowledge of deep learning architectures and optimization techniques.</li>
<li>Strong understanding of algorithms, data structures, and optimization methods.</li>
<li>Good to have: Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.</li>
</ul>
Why You Should Join Us
<ul><li>Work on exciting AI projects for mobile games</li>
<li>Freedom to explore, research, and build prototypes</li>
<li>A collaborative environment where learning is encouraged</li>
<li>Opportunity to contribute to innovative tools</li>
<li>A rare chance to work at the intersection of AI + Game Development
</li>
</ul>What We Offer
<ul><li>Exposure: Work alongside the best in the global game industry.</li>
<li>Culture: A dynamic and progressive work environment with a flat hierarchy. You'll take ownership of your goals while receiving full support from your team.</li>
<li>Time-Off: 5 weeks of paid vacation annually, along with wedding/paternal leave and paid sick leave.</li>
<li>Comprehensive Benefits: Provident fund, full healthcare (in-patient &amp; out-patient), fuel allowance, subsidized lunches, fitness allowance, gadget discounts, and yearly bonuses.</li>
<li>Perks: Regular HR events, team lunches, movie nights, monthly birthday celebrations, company retreats, and games/sports competitions, and much more!</li></ul> 
 
Disclaimer
Mindstorm Studios is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment. All hiring, promotion, discipline, and discharge decisions are based on merit, competence, and performance.</div>

Software Engineer (AI/ML)

<div>Company Profile: 
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. 
 
Position: Senior Software Engineer-AI/ML Backend Developer 
Experience: 4-6 years 
Category: Software Development/ Engineering 
Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai 
Shift Timing-General Shift 
Position ID: J0725-0149 
Employment Type: Full Time 
 
Education Qualification: Bachelor's degree in computer science or related field or higher with minimum 4 years of relevant experience. 
 
We are seeking an experienced AI/ML Backend Developer to join our dynamic technology team. The ideal candidate will have a strong background in developing and deploying machine learning models, implementing AI algorithms, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions.
Your future duties and responsibilities<div>
Develop, optimize, and maintain backend services for AI/ML applications. 
<ul><li>Implement and deploy machine learning models to production environments.</li><li>Collaborate closely with data scientists and frontend engineers to ensure seamless integration of backend APIs and services.</li><li>Monitor and improve the performance, reliability, and scalability of existing AI/ML services.</li><li>Design and implement robust data pipelines and data processing workflows.</li><li>Identify and solve performance bottlenecks and optimize AI/ML algorithms for production.</li><li>Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements.</li></ul></div>
Required qualifications to be successful in this role<div>
Must to have Skills- 
 
Python, TensorFlow, PyTorch, scikit-learn 
 
<ul><li>Machine learning frameworks: TensorFlow, PyTorch, scikit-learn</li><li>Backend development frameworks: Flask, Django, FastAPI</li><li>Cloud technologies: AWS, Azure, Google Cloud Platform (GCP)</li><li>Containerization and orchestration: Docker, Kubernetes</li><li>Data management and pipeline tools: Apache Kafka, Apache Airflow, Spark</li><li>Database technologies: SQL databases (PostgreSQL, MySQL), NoSQL databases (MongoDB, Cassandra)</li><li>Vector Databases: Pinecone, Milvus, Weaviate</li><li>Version Control: Git</li><li>Continuous Integration/Continuous Deployment (CI/CD) pipelines: Jenkins, GitHub Actions, GitLab CI/CD</li></ul> 
Minimum of 4 years of experience developing backend systems, specifically in AI/ML contexts. 
<ul><li>Proven experience in deploying machine learning models and AI-driven applications in production.</li><li>Solid understanding of machine learning concepts, algorithms, and deep learning techniques.</li><li>Proficiency in writing efficient, maintainable, and scalable backend code.</li><li>Experience working with cloud platforms (AWS, Azure, Google Cloud).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li></ul> 
Good to have Skills- 
 
Java (preferred), Scala (optional)</div>
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

Senior Software Engineer-AI/ML Backend Developer

Devsinc

<div>
 Devsinc is looking for a motivated
 
 Associate AI/ML Engineer
 
 who wants to learn and grow in Generative AI, Computer Vision, and Machine Learning. You'll work with senior engineers to train, fine-tune, and deploy AI models for real-world projects like chatbots, image generation, and recommendation tools.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in training and fine-tuning AI models (LLMs, Vision-Language Models, and Diffusion models) under senior guidance
 </li>
 <li>
 Support the development of Computer Vision applications, including object detection, and image classification
 </li>
 <li>
 Help design and maintain data preprocessing and ingestion pipelines for model training and evaluation
 </li>
 <li>
 Participate in deploying and testing models via APIs (FastAPI, Flask) and containerized environments (Docker, Kubernetes)
 </li>
 <li>
 Contribute to MLOps tasks, experiment tracking, model versioning, and performance monitoring
 </li>
 <li>
 Collaborate with the team to integrate pre-trained or third-party models (OpenAI, Hugging Face, etc.) into production use cases
 </li>
 <li>
 Stay up to date with the latest tools and frameworks in AI, Deep Learning, and Generative AI
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field
 </li>
 <li>
 Experience: 06 to 12 Months (internship, freelance, or academic project experience in AI/ML)
 </li>
 <li>
 Strong foundation in Python programming and core libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
 </li>
 <li>
 Good understanding of ML algorithms, data preprocessing, and evaluation metrics
 </li>
 <li>
 Familiarity with model training and fine-tuning concepts (transformers, CNNs, diffusion models, etc.)
 </li>
 <li>
 Basic knowledge of statistics, probability, and data analysis concepts
 </li>
 <li>
 Exposure to data visualization tools such as Matplotlib, Seaborn, Plotly
 </li>
 <li>
 Understanding of version control systems like Git/GitHub
 </li>
 <li>
 Exposure to REST APIs, FastAPI, or Flask is a plus
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is preferred
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Associate Software Engineer - AI/ML

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 </li>
 <li>
 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or a related technical field.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience in developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 </li>
 <li>
 Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, AI/ML

<div>
 Application &amp; Model Development:
 
 
 Design, develop, and deploy Python-based applications and AI/ML models.
 
 
 Data Handling:
 
 
 Collect, clean, and preprocess structured and unstructured data for model training.
 
 
 Model Training &amp; Evaluation:
 
 
 Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
 
 
 API Integration:
 
 
 Create and integrate APIs for serving ML models into applications or web services.
 
 
 Research &amp; Innovation:
 
 
 Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
 
 
 Automation &amp; Scripting:
 
 
 Develop automation scripts and data pipelines to support AI workflows.
 
 
 Collaboration:
 
 
 Work with data engineers, developers, and product teams for end-to-end solution delivery.
 
 
 Version Control &amp; Documentation:
 
 
 Maintain clean code, version control (Git), and project documentation.
 
 
 Testing &amp; Deployment:
 
 
 Test models, deploy to production, and monitor performance using cloud or on-prem setups.
 
 
 Continuous Learning:
 
 
 Explore emerging AI/ML technologies and contribute to innovation projects.
 
 
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
 
 
 Develop Python-based AI/ML apps &amp; models
 
 
 Preprocess &amp; analyze data
 
 
 Train, test, and evaluate models
 
 
 Build &amp; integrate APIs for ML services
 
 
 Use TensorFlow, PyTorch, Scikit-learn
 
 
 Create automation scripts &amp; data pipelines
 
 
 Collaborate across teams for deployment
 
 
 Maintain code, versioning, and documentation
 
 
 Deploy &amp; monitor ML solutions
 
 
 Keep learning new AI/ML tools &amp; methods
</div>

Associate Software Engineer -Python/AI/ML

Apple

<div>Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us! 
 
We are a Hardware tech team focused on cellular modem verification that enhance the cellular modem verification,Triage and release processes behind millions of Apple products. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale. 
 
Description 
We are seeking a creative and motivated Machine learning engineer with a strong background in machine learning and automation software development. This role requires integrating different software and hardware solutions to build world-class intelligent automation system to deliver world class Apple products.&quot;,&quot;responsibilities&quot;:&quot;Serve as a founding engineer to shape the project&rsquo;s technical foundation. 
Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments 
Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks. 
Partner with systems, firmware, verification and Automation teams to define workflow applying AI/ML. 
Benchmark, adapt, and integrate AI/ML models into existing verification methodology and workflow. 
Architect and implement the end-to-end automation solution using AI/ML. 
Deploy and support AI tools for engineering teams. 
 
Preferred Qualifications 
Demonstrated ability to bring innovative AI research into production systems 
Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes 
<ul><li>Bachelor's or Master&rsquo;s in Computer Science Engineering is preferred</li></ul> 

Minimum Qualifications 
5 years relevant industry experience 
Strong understanding of generative AI models, particularly large language models (LLMs). 
Hands-on experience developing AI-powered applications 
Proficiency in Python 
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Machine Learning Engineer

10xengineers

Level: Senior (5-7 years) Location: Lahore, Pakistan Job Type: Full-timeAbout the RoleWe are seeking a senior engineer to join our high-performance team, which partners with leading AI chip companies to deliver cutting-edge software that enables end-users to run Vision and Generative AI inference workloads efficiently on custom accelerators.As a Senior Machine Learning Engineer, you will be a key technical member of the team, working in a hands-on role to contribute to the design and development of frameworks, APIs, and runtime integrations that enable AI models to run seamlessly on next-generation hardware. You will also help shape technical direction, mentor junior engineers, and collaborate closely with the client&rsquo;s compiler/runtime and hardware architecture teams.This is not a traditional applied ML role. Instead, it requires deep software engineering expertise with strong exposure to AI/ML systems, ideal for someone who thrives in systems programming and performance optimization, and wants to pivot into the AI/ML domain while continuing to build on their proven experience in delivering robust, high-quality software. In this role, you will directly contribute to enabling large-scale AI workloads on custom hardware.What you'll do&#9679; Define and implement software architecture and design patterns to ensure frameworks and applications are scalable, maintainable, and reusable.&#9679; Architect and develop Python/C++ frameworks for integrating ML models with custom runtimes.&#9679; Design and implement high-performance APIs, bindings, and libraries to support inference of Vision and Generative AI models.&#9679; Build and maintain Model Zoo, loaders, and optimization workflows to simplify model deployment.&#9679; Profile, debug, and optimize performance-critical paths in runtime and framework layers.&#9679; Develop real-time pipelines and applications using GStreamer, OpenCV, and other multimedia/ML frameworks.&#9679; Collaborate with compiler/runtime teams to ensure smooth integration of graph-level and operator optimizations.&#9679; Mentor and guide junior engineers; enforce software engineering best practices across design, testing, CI/CD, and code reviews.&#9679; Own end-to-end delivery of software components: define scope, set timelines, and drive execution.What we're looking for &#9679; 5&ndash;7+ years of professional experience in software engineering, ideally in systems programming or performance-critical applications.&#9679; Strong programming expertise in C++ (C++11/14/17) and Python.&#9679; Experience with C++/Python bindings (e.g., pybind11, SWIG).&#9679; Strong fundamentals in:&#9675; Data structures and algorithms&#9675; Concurrency, threading, and synchronization&#9675; Memory management, caching, and performance profiling&#9675; Networking and streaming systems&#9679; Exposure to ML frameworks (PyTorch, TensorFlow, ONNX Runtime) and how they interface with hardware runtimes.&#9679; Experience building frameworks, SDKs, or toolchains used by other developers or customers.Bonus Points&#9679; Hands-on experience deploying vision or Generative AI models (transformers, diffusion models, LLM inference).&#9679; Experience with multimedia/vision pipelines (e.g., GStreamer plugin development).&#9679; Contributions to open-source ML systems projects (e.g., Hugging Face, ONNX Runtime, TensorRT).&#9679; Prior experience in a technical lead or client-facing role.What join 10xEngineers?&#9679; Opportunity to work on state-of-the-art AI systems with a world-class chip company.&#9679; A chance to be the anchor of a team, shaping its technical culture and delivery standards.&#9679; Continuous exposure to Vision and Generative AI workloads without being tied to repetitive applied ML tasks.&#9679; Growth path into architectural leadership across multiple projects.Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>C++: 4 years (Required)</li><li>Python: 3 years (Required)</li></ul>Work Location: In person

Sr. AI/ML Engineer

Search 10000+ Software engineer   ai/ml jobs near you this November. New roles added regularly across leading industries. Apply today.