ai/ml engineer

ClientServer Technology Solutions LLC

Job Title: AI/ML Engineer (1&ndash;3 Years Experience)Location:HyderabadWork Mode :Work From OfficeJob Summary:We are seeking a passionate AI/ML Engineer with 1 to 3 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong programming skills, hands-on experience with ML frameworks, and a solid understanding of data-driven problem solving.Key Responsibilities:<ul><li>Develop, train, test, and deploy machine learning models</li><li>Work with structured and unstructured datasets to build AI solutions</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Collaborate with data engineers, data scientists, and product teams</li><li>Optimize model performance, scalability, and accuracy</li><li>Integrate ML models into production applications via APIs</li><li>Monitor model performance and retrain models as required</li><li>Research and implement new AI/ML techniques and tools</li><li>Document model designs, workflows, and experiments</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or a related field</li><li>1&ndash;3 years of hands-on experience in AI/ML development</li><li>Strong programming skills in Python</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Good understanding of machine learning algorithms (regression, classification, clustering, NLP basics)</li><li>Experience with data analysis libraries (NumPy, Pandas, Matplotlib/Seaborn)</li><li>Familiarity with SQL and data handling techniques</li><li>Basic understanding of software engineering best practices and Git</li></ul>Preferred Skills (Good to Have):<ul><li>Experience with Deep Learning, NLP, or Computer Vision</li><li>Exposure to MLOps tools (MLflow, Kubeflow, Airflow)</li><li>Experience deploying models on AWS, Azure, or GCP</li><li>Knowledge of Docker and Kubernetes</li><li>Understanding of model monitoring, drift detection, and retraining strategies</li><li>AI/ML certifications or relevant coursework</li></ul>Job Type: Full-timePay: ₹200,000.00 - ₹300,000.00 per yearWork Location: In person

AI/ML Engineer

Aptino, Inc.

<div>
 
 
 Role:
 
 AI/ML Engineer
 
 
 
 Location:
 
 Charlotte, NC (Hybrid &ndash; 3 days/week from office)
 
 
 
 Duration:
 
 12 months
 
 
 
 
 
 We are looking for a skilled
 
 AI/ML Engineer
 
 to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will work closely with data scientists, product teams, and engineers to build scalable AI-driven applications that solve real-world business problems.
 
 
 🔹 Key Responsibilities
 
 <ul>
 <li>
 Design, develop, and deploy
 
 machine learning models
 
 for production environments
 </li>
 <li>
 Build and optimize
 
 data pipelines
 
 for training and inference
 </li>
 <li>
 Develop models using
 
 supervised, unsupervised, and deep learning techniques
 
 </li>
 <li>
 Work with structured and unstructured data
 </li>
 <li>
 Perform
 
 model evaluation, tuning, and optimization
 
 </li>
 <li>
 Deploy models using
 
 APIs, microservices, or cloud platforms
 
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into AI solutions
 </li>
 <li>
 Monitor model performance and retrain models as needed
 </li>
 <li>
 Stay updated with latest trends in
 
 AI/ML and GenAI
 
 </li>
 </ul>
 
 🔹 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, AI, ML, or related field
 
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 </li>
 <li>
 Hands-on experience with
 
 ML frameworks
 
 : TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Solid understanding of
 
 machine learning algorithms and statistics
 
 </li>
 <li>
 Experience with
 
 data preprocessing, feature engineering, and model validation
 
 </li>
 <li>
 Knowledge of
 
 SQL and data handling
 
 </li>
 <li>
 Familiarity with
 
 REST APIs
 
 and model deployment
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Prestige Track Private Limited

We are looking for a detail-oriented and analytical AI/ML Engineer to support AI and machine learning projects. The ideal candidate will work closely with data scientists and engineers to collect, process, and interpret data, prepare datasets, analyze model outputs, and generate actionable insights that drive data-driven decision-making.Experience:<ul><li>0&ndash;1 year (Freshers can apply)</li></ul>Qualification:<ul><li>BE / BTech / BSc / MSc in Computer Engineering, Computer Science, AI/ML, Data Science, or any related field</li></ul>Work Schedule:<ul><li>Rotational shifts: Day / Afternoon / Night</li></ul>Job Types: Full-time, Permanent, FresherPay: ₹10,000.00 - ₹15,000.00 per monthWork Location: In person

Upmotion Tech

Job Title: AI ML EngineerCompany: Upmotion Tech Location: Gulberg, Lahore Job Type: Full-timeRole OverviewWe are looking for a skilled AI Engineer with strong Python expertise to build and scale AI-powered applications. This role focuses on developing intelligent backend systems, integrating large language models, and designing AI agents that automate tasks and support decision-making. You will work closely with product and engineering teams to turn AI concepts into reliable, production-ready solutions.Key Responsibilities<ul><li>Develop and maintain AI-driven applications using Python</li><li>Design, build, and integrate AI agents for task automation and intelligent workflows</li><li>Implement vector-based embedding storage, search, and retrieval systems</li><li>Integrate large language models and AI services into backend architectures</li><li>Optimize AI pipelines for performance, reliability, and scalability</li><li>Collaborate with cross-functional teams to translate requirements into technical solutions</li></ul>Required Skills &amp; Experience<ul><li>Strong proficiency in Python for backend and AI development</li><li>Practical experience working with AI/ML systems and LLM-based applications</li><li>Hands-on experience with vector databases such as ChromaDB, Pinecone, FAISS, or Milvus</li><li>Experience designing, building, and managing AI agents</li><li>Solid understanding of modern AI development tools, workflows, and best practices</li></ul>Nice to Have<ul><li>Experience with cloud platforms and scalable backend systems</li><li>Familiarity with RAG pipelines and prompt engineering</li><li>Exposure to production monitoring and optimization of AI systems</li></ul>What We Offer<ul><li>Opportunity to work on real-world AI products and platforms</li><li>A collaborative, engineering-focused environment</li><li>Room to grow with emerging AI technologies and tools</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

AI / ML Engineer

Soft Radix Technologies

We are looking for a highly skilled and experienced Senior AI/ML Engineer with deep expertise in Generative AI, LLMs, small language models, AI agents, chatbots, and automation workflows. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in agentic AI tools such as Make.com, n8n, and other automation platforms. You will play a key role in building intelligent, scalable, and efficient AI-driven applications, integrating advanced AI models into real-world business use cases.Key Responsibilities:<ul><li>Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications.</li><li>Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation.</li><li>Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows.</li><li>Optimize AI models for efficiency, scalability, and real-world application in production environments.</li><li>Develop and fine-tune LLMs and small language models tailored for specific business needs.</li><li>Implement AI-powered automation for customer support, process optimization, and intelligent decision-making.</li><li>Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations.</li><li>Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment.</li><li>Mentor junior AI engineers and contribute to knowledge sharing within the team.</li><li>Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies.</li></ul>Required Skills and Experience:Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.</li></ul>Experience:<ul><li>2 years of hands-on experience in AI/ML development, with a strong focus on Generative AI, LLMs, and automation workflows.</li><li>Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools.Technical Expertise:</li><li>Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</li><li>Experience with LLM fine-tuning, model compression, and small language models for efficiency.</li><li>Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation.</li><li>Strong understanding of NLP, conversational AI, and chatbot development.</li><li>Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.</li><li>Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.</li><li>Experience with big data technologies such as Hadoop, Spark, or similar is a plus.</li></ul>Preferred Qualifications:<ul><li>Experience integrating AI models into business workflows to enhance automation and efficiency.</li><li>Familiarity with API development and integrations to connect AI services with other systems.</li><li>Exposure to MLOps and AI model lifecycle management.</li><li>Knowledge of prompt engineering and AI model optimization techniques.</li></ul>Job Type: Full-timePay: ₹35,000.00 - ₹45,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Business Solutions & Services (BSS) - USA

<div>
 
 Role Overview:
 
 
 
 We are looking for a mid-level AI / Machine Learning Developer to design, develop, and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data, building predictive and intelligent models, and collaborating closely with product, data, and engineering teams to translate business problems into scalable AI solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 AI / ML Development:
 
 
 
 <ul>
 <li>
 Design, develop, train, and evaluate machine learning models for real-world business use cases
 </li>
 <li>
 Implement supervised and unsupervised learning techniques (classification, regression, clustering, anomaly detection, recommendation and more)
 </li>
 <li>
 Demonstrate strong understanding of statistical and machine learning models, and their practical application using Python libraries such as scikit-learn, stats models, NumPy, and pandas for real-world data analysis and predictive modeling
 
 
 
 </li>
 </ul>
 
 Data Handling &amp; Preparation:
 
 
 
 <ul>
 <li>
 Work with structured and semi-structured data from databases, APIs, and files
 </li>
 <li>
 Perform data cleaning, preprocessing, feature extraction, and transformation
 </li>
 <li>
 Collaborate with data engineers on data pipelines when required
 
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Integration:
 
 
 
 <ul>
 <li>
 Deploy ML models into production environments (APIs, services, batch jobs)
 </li>
 <li>
 Integrate ML models with web applications, backend systems, or enterprise platforms
 </li>
 <li>
 Support model monitoring, retraining, and performance tuning
 
 
 
 </li>
 </ul>
 
 Agentic AI systems (Nice to Have)
 
 :
 
 
 <ul>
 <li>
 Familiarity with agentic AI frameworks such as LangChain Agents, AutoGen, and CrewAI for orchestrating tool usage, decision-making, and multi-step workflow automation
 </li>
 <li>
 Understanding of prompt management, execution controls, logging, and human-in-the-loop validation, including concepts related to agent safety, control, and observability
 
 
 
 </li>
 </ul>
 
 Collaboration &amp; Delivery:
 
 
 
 <ul>
 <li>
 Work closely with product managers, business analysts, and domain experts
 </li>
 <li>
 Participate in solution design discussions and technical reviews
 </li>
 <li>
 Document models, assumptions, and technical decisions clearly
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with Pandas and NumPy
 </li>
 <li>
 Understanding of core ML concepts and evaluation metrics
 </li>
 <li>
 Experience exposing ML models via REST APIs (FastAPI / Flask)
 </li>
 <li>
 Nice to Have:
 </li>
 <li>
 Exposure to NLP, computer vision, or time-series modeling
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Basic understanding of MLOps practices
 </li>
 <li>
 Experience working in enterprise or consulting environments
 </li>
 <li>
 Experience: 3-5 years Hands-On Industry Experience
 </li>
 <li>
 Education: BS Computer Science or Equivalent
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good communication and documentation abilities
 </li>
 <li>
 Ability to work across multiple projects
 
 </li>
 </ul>
</div>

Architecture In Motion

<div>Senior AI/ML Engineer (Remote) Pakistan Only

Role Summary

We are seeking a skilled AI/ML Engineer to design, build, and deploy generative AI solutions using Python, Hugging Face, and Azure cloud services (Azure is our stack, but strong AWS/GCP experience is welcome). You will own the full lifecycle of AI/ML model development from prototyping through production, with strong emphasis on operational excellence, cloud troubleshooting, and rapid iteration. This role requires someone who can diagnose production issues quickly, work across Python and .NET ecosystems, and deliver measurable results within tight timelines.

This is a fully remote position for candidates based in Pakistan, working with our Canadian team on cutting edge AI products.

Key Responsibilities

AI/ML Development and Productionization
<ul>
<li>Design and implement preprocessing pipelines, inference services, and evaluation frameworks using Python and Hugging Face transformers</li>
<li>Fine tune, optimize, and deploy large language models and generative AI models to production environments on Azure</li>
<li>Build and maintain retrieval augmented generation (RAG) systems integrating vector databases such as Azure AI Search or CosmosDB with LLM workflows</li>
<li>Develop robust unit and integration tests for ML pipelines ensuring reliability before production deployment</li>
<li>Implement prompt engineering strategies and optimize context management for production LLM applications</li>
</ul>
Cloud Infrastructure and Operations
<ul>
<li>Containerize ML models using Docker and deploy to Azure Container Instances, Azure App Service, or Azure Kubernetes Service</li>
<li>Implement health check endpoints, structured logging, and telemetry instrumentation for all deployed services</li>
<li>Configure and monitor Azure Application Insights dashboards to track model performance, latency, error rates, and resource utilization</li>
<li>Troubleshoot production incidents by analyzing Application Insights logs, distributed traces, and request telemetry to identify root causes and implement fixes</li>
<li>Optimize inference latency and cloud costs through caching strategies, model quantization, and efficient resource allocation</li>
</ul>
MLOps and CI/CD
<ul>
<li>Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions for automated testing, model validation, and deployment</li>
<li>Implement model versioning, A/B testing infrastructure, and rollback procedures for production ML services</li>
<li>Manage containerized deployments and orchestration for scalable inference workloads</li>
</ul>
Cross Platform Integration
<ul>
<li>Work with existing .NET API layer to integrate AI services using Azure SDKs</li>
<li>Collaborate with .NET developers to ensure seamless integration between Python ML services and .NET applications</li>
<li>Follow established patterns for dependency injection and service registration in .NET codebases</li>
</ul>
Collaboration and Documentation
<ul>
<li>Partner with product, engineering, and DevOps teams to align AI initiatives with business objectives</li>
<li>Document architectures, runbooks, and troubleshooting guides to enable team knowledge sharing</li>
<li>Communicate technical concepts clearly to both technical and non-technical stakeholders</li>
</ul>
Required Skills and Experience

Python and ML Engineering (Primary)
<ul>
<li>3+ years of production Python development with demonstrated ability to write clean, testable, and maintainable code</li>
<li>Hands on experience with Hugging Face transformers including model loading, tokenization, fine tuning, and inference optimization</li>
<li>Ability to implement a data preprocessing pipeline and wrap a Hugging Face model for inference with unit tests</li>
<li>Strong proficiency with PyTorch, scikit learn, pandas, and numpy</li>
<li>Experience building REST APIs using FastAPI or Flask for ML model serving</li>
</ul>
Cloud Operations (Azure preferred, AWS/GCP Transferable)
<ul>
<li>While we build on Azure we value strong conceptual knowledge of cloud operations. Experience with equivalent services in AWS (ECS, CloudWatch, Lambda) or GCP is fully acceptable provided you are willing to cross train.</li>
<li>2+ years deploying and operating workloads on Azure including Container Instances, App Service, or AKS</li>
<li>Demonstrated proficiency in Azure Application Insights including custom metrics, log queries using KQL, distributed tracing, and alert configuration</li>
<li>Ability to containerize a Hugging Face model, deploy it to Azure, expose health and logging endpoints, and demonstrate telemetry in Application Insights</li>
<li>Proven ability to efficiently analyze failing request traces and Application Insights logs to rapidly identify root causes and propose fixes in a production environment.</li>
<li>Experience with Azure DevOps or GitHub Actions for CI/CD pipelines</li>
</ul>
GenAI and LLM Integration
<ul>
<li>Hands on experience integrating Azure OpenAI Service, OpenAI APIs, or open source LLMs into production applications</li>
<li>Practical experience implementing RAG architectures with vector databases and embedding models</li>
<li>Understanding of prompt engineering techniques, context management, token optimization, and LLM output parsing</li>
<li>Understanding of semantic contextual relevance for improving search accuracy and response quality in AI applications</li>
<li>Familiarity with chunking strategies, semantic search, and hybrid retrieval approaches</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks</li>
<li>Familiarity with Semantic Kernel for .NET and Python</li>
<li>Experience with model quantization (ONNX, TensorRT) for inference optimization</li>
<li>Knowledge of evaluation frameworks for LLM applications (RAGAS, custom metrics)</li>
<li>Prior experience working with distributed teams across time zones</li>
</ul>
Azure .NET SDK Proficiency

Our AI services integrate with an existing .NET API layer. You will need to work with both Python and C# codebases.

Required .NET Skills
<ul>
<li>Dependency Injection: Register and consume services using Microsoft.Extensions.DependencyInjection (same pattern as FastAPI/Flask dependency injection)</li>
<li>Azure SDKs: Use Azure.AI.OpenAI, Azure.Search.Documents, Azure.Storage.Blobs, and related packages (identical patterns to Python Azure SDKs)</li>
<li>Polly: Configure retry policies and resilience patterns for HTTP calls</li>
<li>LINQ: Write query expressions for data manipulation (similar to Python list comprehensions)</li>
<li>Standard Libraries: Use System.Text.Json, HttpClient, and common .NET packages for API development</li>
</ul>
What is NOT Required
<ul>
<li>Entity Framework or any ORM patterns</li>
<li>Complex .NET architecture patterns</li>
<li>Prior .NET production experience</li></ul></div>

Senior AI/ML Engineer

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