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ai ml developer and engineer

Force Cloud LLC

We are looking for a Senior AI/ML Engineer to join our growing AI services company as a core technical leader. In this role, you will design, build, and deploy production-ready AI/ML solutions across computer vision, NLP, and generative AI, while mentoring engineers and helping scale the team.What You&rsquo;ll Do<ul><li>Design and develop end-to-end AI/ML solutions, from data preparation to deployment, across domains such as vision, NLP, GenAI, and predictive systems.</li><li>Build scalable ML pipelines, define best practices, and establish engineering standards.</li><li>Lead technical decision-making, including model selection, code reviews, and debugging complex issues.</li><li>Mentor and guide junior engineers, promoting a strong culture of learning and innovation.</li><li>Collaborate with clients and cross-functional teams to deliver accurate, scalable, and reliable AI solutions.</li><li>Stay up to date with emerging AI/ML trends and technologies to keep solutions future-ready.</li></ul>What You Bring<ul><li>3+ years of hands-on experience building and deploying machine learning models in production environments.</li><li>Strong expertise in:</li><li>Computer Vision: CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, object detection and segmentation.</li><li>NLP: Transformer models (BERT, T5, GPT), embeddings, tokenization, HuggingFace, spaCy/NLTK.</li><li>Generative AI: LLM orchestration (LangChain), RAG pipelines, chatbots, prompt engineering, vector databases (FAISS, Pinecone).</li><li>Strong ML fundamentals, including classical algorithms, feature engineering, and model evaluation using Python, Scikit-learn, XGBoost, or LightGBM.</li><li>Excellent communication, problem-solving, and mentorship skills with experience leading teams technically.</li></ul>Job Type: Full-timeWork Location: In person

AI / ML Developer and Engineer

CLOFTECH (PRIVATE) LIMITED

AI/ML EngineerExperience: 2-3+ YearsLocation: Lahore, Pakistan (Hybrid/Remote)Type: Full-Time/Part TimeAbout the RoleWe're seeking an AI/ML Engineer to develop and deploy our Named Entity Recognition (NER) service and predictive analytics capabilities. You'll build ML models that automatically infer semantic meaning from data columns, enabling intelligent schema mapping and automated KPI suggestions.What You'll Do<ul><li>Develop and fine-tune NER models (BERT-based) for semantic column inference</li><li>Build and deploy ML models on Amazon SageMaker with real-time inference endpoints</li><li>Create training pipelines for continuous model improvement using customer data patterns</li><li>Implement confidence scoring and threshold logic for auto-mapping vs. human review</li><li>Develop predictive analytics models for customer KPIs (sales trends, utilization, forecasting)</li><li>Build LLM-powered chatbot capabilities for natural language data queries</li><li>Optimize model inference latency and implement batching strategies</li><li>Monitor model performance and implement A/B testing for model versions</li></ul>Requirements<ul><li>2-3+ years of experience in ML engineering or applied AI</li><li>Strong Python skills with ML frameworks (PyTorch, TensorFlow, or Hugging Face)</li><li>Experience with NLP tasks (NER, text classification, embeddings)</li><li>Hands-on experience deploying models to production (SageMaker, Docker, or similar)</li><li>Understanding of transformer architectures (BERT, GPT)</li><li>Experience with ML experiment tracking (MLflow, Weights &amp; Biases)</li><li>Familiarity with AWS ML services (SageMaker, Comprehend)</li><li>Strong understanding of ML ops practices and model monitoring</li></ul>Nice to Have<ul><li>Experience with LLMs and RAG (Retrieval Augmented Generation) architectures</li><li>Knowledge of vector databases (Pinecone, Weaviate, or pgvector)</li><li>Experience building conversational AI / chatbots</li><li>Background in data quality or schema matching problems</li></ul>Job Types: Full-time, Part-timePay: Rs250,000.00 - Rs350,000.00 per monthExpected hours: 20 &ndash; 40 per weekExperience:<ul><li>AI/ML: 2 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

Psi Square

We&rsquo;re seeking an experienced Full Stack Developer (4+ years) who can take ownership of complex projects across web, mobile, and AI-powered applications. You should have a proven track record of building scalable backend systems in Python (Django).This role goes beyond just coding&mdash;it&rsquo;s about shaping architectures, mentoring junior engineers, and driving innovation as we integrate AI/ML into our products to solve real business challenges.This role is ideal for someone who enjoys building scalable backend architectures, integrating AI/ML models, and ensuring systems run reliably in production cloud environments.This is more than just writing code&mdash;you&rsquo;ll influence architecture decisions, help productionize AI solutions, and improve system reliability through solid DevOps practices.Key Responsibilities<ul><li>Lead the design, development, and scaling of backend services using Python/Django.</li><li>Architect and implement AI/ML integrations (e.g., recommendation engines, NLP-powered features, automation workflows).</li><li>Define and consume RESTful APIs and ensure smooth communication across services.</li><li>Partner closely with data scientists and AI engineers to deploy ML models into production systems.</li><li>Uphold engineering best practices: code reviews, testing strategies, CI/CD, and system security.</li><li>Diagnose performance bottlenecks and drive long-term, maintainable solutions.</li><li>Contribute to technical decision-making, mentor less experienced developers, and help evolve our tech stack.</li></ul>What We&rsquo;re Looking For<ul><li>4+ years of professional experience in full-stack development with Python/Django</li><li>Solid understanding of relational databases (PostgreSQL, MySQL) and ORM frameworks.</li><li>Hands-on experience with AI/ML (TensorFlow, PyTorch, Scikit-learn) or third-party AI APIs (OpenAI, Hugging Face) is highly desirable.</li><li>Exposure to cloud environments (AWS, GCP, Azure) and DevOps practices.</li><li>Strong debugging, problem-solving, and system design skills.</li><li>Excellent communication skills and ability to work collaboratively in cross-functional teams.</li><li>A proactive mindset with the ability to influence technical direction and deliver results in fast-paced environments.</li></ul>Job Type: Full-timePay: Rs125,000.00 - Rs200,000.00 per monthWork Location: In person

Senior Full Stack Developer – Python (Django), AI/ML

We&rsquo;re seeking an experienced Full Stack Developer (4+ years) who can take ownership of complex projects across web, mobile, and AI-powered applications. You should have a proven track record of building scalable backend systems in Python (Django) and delivering modern, responsive user experiences with ReactJS/React Native. This role goes beyond just coding&mdash;it&rsquo;s about shaping architectures, mentoring junior engineers, and driving innovation as we integrate AI/ML into our products to solve real business challenges.Key Responsibilities<ul><li>Lead the design, development, and scaling of backend services using Python/Django.</li><li>Build interactive, high-performance web applications (ReactJS) and mobile applications (React Native).</li><li>Architect and implement AI/ML integrations (e.g., recommendation engines, NLP-powered features, automation workflows).</li><li>Define and consume RESTful APIs and ensure smooth communication across services.</li><li>Partner closely with data scientists and AI engineers to deploy ML models into production systems.</li><li>Uphold engineering best practices: code reviews, testing strategies, CI/CD, and system security.</li><li>Diagnose performance bottlenecks and drive long-term, maintainable solutions.</li><li>Contribute to technical decision-making, mentor less experienced developers, and help evolve our tech stack.</li></ul>What We&rsquo;re Looking For<ul><li>4+ years of professional experience in full-stack development with Python/Django and React (web and/or mobile).</li><li>Solid understanding of relational databases (PostgreSQL, MySQL) and ORM frameworks.</li><li>Hands-on experience with AI/ML (TensorFlow, PyTorch, Scikit-learn) or third-party AI APIs (OpenAI, Hugging Face) is highly desirable.</li><li>Exposure to cloud environments (AWS, GCP, Azure) and DevOps practices.</li><li>Strong debugging, problem-solving, and system design skills.</li><li>Excellent communication skills and ability to work collaboratively in cross-functional teams.</li><li>A proactive mindset with the ability to influence technical direction and deliver results in fast-paced environments.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs225,000.00 per monthWork Location: In person

Senior Full Stack Developer – Python (Django), React / React Native, AI/ML

Appsians

Appsians is looking for a passionate and proactive AI Automation Engineer with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to AI/ML-based projects. You will assist in building intelligent systems, integrating AI tools, and optimizing existing models.Key Responsibilities:<ul><li>Assist in the development, training, testing, and deployment of machine learning and AI models.</li><li>Apply N8N AI Tool in real-world use cases (e.g., NLP, computer vision, predictive analytics, automation).</li><li>Collaborate with senior engineers and data scientists on AI-based solutions.</li><li>Clean, preprocess, and analyze large datasets for modeling purposes.</li><li>Participate in model validation, performance tuning, and error analysis.</li><li>Write clean, maintainable, and well-documented code.</li><li>Work on AI product features, proof of concepts, and demos using N8N AI Tool.</li><li>Stay updated with the latest trends in AI/ML and suggest ways to implement them.</li><li>Support in integrating AI solutions into web/mobile/cloud-based environments.</li><li>Contribute to AI model monitoring, retraining, and feedback loops.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li>1.5 to 3 years of relevant experience in AI/ML projects.</li><li>Hands-on experience with N8N AI Tool (e.g., model building, automation, workflows).</li><li>Proficiency in Python (preferred), with familiarity in libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Proficiency in React programming language.</li><li>Understanding of supervised/unsupervised learning, classification, regression, etc.</li><li>Familiarity with REST APIs, Git, and version control.</li><li>Good problem-solving and analytical thinking skills.</li><li>Ability to work in a collaborative team environment.</li><li>Strong communication and documentation skills.</li><li>Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI models.</li><li>Experience with LLMs, prompt engineering, or GenAI tools.</li><li>Knowledge of data pipelines or MLOps concepts.</li><li>Experience in integrating AI with web or mobile applications.</li><li>Excellent English communication is essential.</li></ul>Send your resume to hr@appsians.com with the subject line: AI Automation Engineer ApplicationLocation: Lahore DHA Phase 4Job type: Full Time / onsiteJob Type: Full-timeWork Location: In person

AI Automation Engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

THE ADVANTECH

Job Description: DevOps / MLOps EngineerTitle: Senior DevOps / MLOps Engineer (AI Platform) Department: AI/ML Platform Reports to: Head of AI/ML Experience: 4&ndash;5 years (hands-on, production)Role Summary (Read Carefully)We are building an AI Agent Marketplace with strict requirements around reliability, cost control, observability, and security. This role owns infrastructure, CI/CD, model deployment pipelines, and runtime stability.This is not a research role. This is not a notebook role. This is production engineering.If you haven&rsquo;t supported live systems under load, you are not a fit.Core Responsibilities (Non-Negotiable)Platform &amp; Infrastructure<ul><li>Design and maintain cloud infrastructure (AWS/GCP/Azure)</li><li>Own Kubernetes or container-based deployment</li><li>Enforce environment separation (dev / staging / prod)</li><li>Manage secrets, credentials, and access policies</li></ul>MLOps &amp; AI Runtime Support<ul><li>Build CI/CD pipelines for:</li><li>Agent definitions</li><li>Model updates</li><li>Prompt &amp; config versioning</li><li>Implement rollback strategies for agents and models</li><li>Enforce resource limits (CPU, memory, tokens, cost)</li><li>Monitor inference latency and failure rates</li></ul>Observability &amp; Cost Control<ul><li>Implement centralized logging (ELK / OpenTelemetry / Prometheus)</li><li>Track:</li><li>Per-agent usage</li><li>Token consumption</li><li>Cost per request</li><li>Build alerts for anomalies and abuse</li></ul>Security &amp; Reliability<ul><li>Secure APIs and runtime execution</li><li>Protect against cost-drain and prompt abuse</li><li>Enforce audit logs and traceability</li><li>Participate in incident response</li></ul>Required Skills (Must Have)<ul><li>Linux (deep knowledge, not basics)</li><li>Docker + Kubernetes</li><li>CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.)</li><li>Cloud infrastructure (IaC preferred: Terraform)</li><li>Monitoring &amp; logging stacks</li><li>Experience deploying ML systems in production</li></ul>Strongly Preferred (High Signal)<ul><li>Experience with LLM deployments</li><li>Token usage monitoring</li><li>Cost optimization for inference workloads</li><li>Multi-tenant system experience</li><li>Security-first mindset</li></ul>What We Offer<ul><li>Competitive salary and equity package.</li><li>Flexible remote/hybrid work options.</li><li>Professional development stipend for courses and conferences.</li><li>Collaborative, fast‑paced environment driving digital commerce innovation.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthExperience:<ul><li>&bull;	CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.): 4 years (Preferred)</li><li>hands-on, production: 4 years (Required)</li></ul>Work Location: In person

Senior DevOps / MLOps Engineer (AI Platform)

Explore 1150+ Ai ml developer and engineer in Dha Lahore Jobs In Lahore this February. Find roles across top companies and apply now to boost your career.