intelligence applications

Paklogics

<p><b>Position:</b> Python AI/ML Developer<br/><b>Experience Required:</b> 2 Year<br/><b>Location:</b> Model Town, Lahore<br/><b>Timings:</b> 5:00 PM &ndash; 2:00 AM<br/><b>Company:</b> Paklogics</p><p><b>Job Description:</b></p><p>We are looking for a <b>Python AI/ML Developer</b> with at least <b>one year of hands-on experience</b> in Artificial Intelligence and Machine Learning. The ideal candidate should be passionate about building and optimizing AI-driven applications and have strong problem-solving and analytical skills.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and maintain AI/ML models and data pipelines.</li><li>Work on end-to-end ML lifecycle including data preprocessing, model training, evaluation, and deployment.</li><li>Collaborate with the development and data teams to integrate AI models into production systems.</li><li>Research and implement new machine learning algorithms and tools.</li><li>Troubleshoot and optimize model performance.</li></ul><p><b>Requirements:</b></p><ul><li>Minimum <b>1-2 year of experience</b> in Python development and ML-based projects.</li><li>Strong knowledge of <b>libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas</b>.</li><li>Understanding of data preprocessing, model evaluation, and optimization techniques.</li><li>Familiarity with <b>LLMs, NLP, or Computer Vision</b> will be a plus.</li><li>Good problem-solving and communication skills.</li></ul><p><b>Perks &amp; Benefits:</b></p><ul><li>Market-competitive salary package.</li><li>Professional and collaborative work environment.</li><li>Opportunities to work on innovative AI projects.</li><li>Transport facility provided (for late hours).</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Python AI/ML

<p><b>Job Title:</b> Python AI/ML Developer<br/><b>Location:</b> Faisalabad (On-site)<br/><b>Work Hours:</b> 5:00 PM &ndash; 2:00 AM</p><p><b>Job Overview</b><br/>We are looking for a skilled <b>Python AI/ML Developer</b> with hands-on experience in building and deploying machine learning models and backend systems. The ideal candidate should have at least <b>2 years of professional experience</b> in Python and AI/ML-based projects. You will be responsible for designing intelligent, scalable solutions that drive automation and improve data-driven processes.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy AI/ML models for real-world applications.</li><li>Build and maintain efficient and scalable backend components.</li><li>Work on model optimization, data preprocessing, and performance tuning.</li><li>Collaborate with cross-functional teams to integrate AI solutions into products.</li><li>Research and implement emerging AI technologies to improve business outcomes.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Minimum 2 years of experience in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Strong understanding of model development, training, and evaluation.</li><li>Good problem-solving, analytical, and teamwork skills.</li></ul><p><b>Agreement</b><br/>The selected candidate will be required to commit to a <b>1&ndash;2 year employment agreement</b> with the company.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>
Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div><div><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
<p>
 <b>Location: Hyderabad</b></p>
<p><b>
Qualification: B. Tech</b></p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375429</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Generative AI

<div></div><div><div><div><div><ul><li> 4+ years of experience in AI/ML</li></ul>
<ul><li> <b>Python</b>, FastAPI, Cloud (/GCP), <b>Langchain, LangGraph/CrewAI</b> , Docker/Kubernetes, Classic ML/deep learning/<b>Gen AI technologies, LLMs, NLP, Multi-agent frameworks</b>, Evaluation metrics and Analysis of LLM, ADK, MCP etc</li></ul>
<ul><li> Hands-on experience in delivering production-grade AI/ML projects</li></ul>
<ul><li> Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP</li></ul>
<ul><li> Good Exp in NLP, LLMs</li></ul>
<ul><li> Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting.</li></ul>
<ul><li> Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>377674</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning | Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

AI/ML

Stealth Company

<p><i><b>AI Researcher &ndash; Computer Vision </b></i></p><p><b>Location</b>: Chandigarh<br/><b>Experience</b>: 3&ndash;7 years<br/><b>Department</b>: AI Research &amp; Innovation<br/><b>Employment Type</b>: Full-time</p><p><b>About the Role </b></p><p>We are looking for a passionate AI Research Scientist with expertise in Computer Vision and Video Understanding to join our AI Research Team. You will work on developing deep learning&ndash;based solutions that help machines interpret, analyze, and understand complex video content.<br/>The role focuses on applied research, model development, and prototyping of scalable AI solutions that can be deployed across enterprise use cases.</p><p><b>Key Responsibilities </b></p><ul><li>Research and prototype deep learning models for video understanding, including:</li><li>Action and gesture recognition</li><li>Object tracking and temporal event detection</li><li>Video summarization and scene understanding</li><li>Deepfake and manipulated content detection</li><li>Implement and optimize architectures such as 3D CNNs, Vision Transformers, and Temporal Models.</li><li>Contribute to dataset design, annotation, and preprocessing pipelines for video-based training.</li><li>Conduct experiments to benchmark and improve model accuracy, robustness, and inference performance.</li><li>Collaborate with senior researchers and engineering teams to integrate research outputs into production systems.</li><li>Stay updated on the latest research in video AI, multimodal learning, and transformer architectures, and evaluate their practical applications.</li><li>Document methodologies, publish internal reports, and contribute to patents or external publications where applicable.</li></ul><p><b>Required Qualifications </b></p><ul><li>Master&rsquo;s degree or higher in Computer Science, Electrical Engineering, or related field.</li><li>3&ndash;7 years of experience in computer vision or deep learning research, with a focus on video data.</li><li>Strong programming skills in Python and experience with PyTorch or TensorFlow.</li><li>Hands-on experience with spatio-temporal models such as I3D, SlowFast, or TimeSformer.</li><li>Solid understanding of feature extraction, self-supervised learning, and transformer-based architectures.</li><li>Experience working with video datasets like Kinetics, Something-Something, or DFDC.</li><li>Proven ability to run experiments end-to-end &mdash; from data preparation to evaluation and reporting.</li><li>Strong analytical thinking and communication skills.</li><li>Should have published papers or patents or invented new architectures for model enhancements.</li></ul><p><b>Preferred Qualifications </b></p><ul><li>Experience in multimodal AI (vision + audio + text) or generative video modeling.</li><li>Exposure to video forensics or media authenticity detection.</li><li>Experience with distributed training, GPU optimization, or MLOps pipelines.</li><li>Familiarity with open-source frameworks such as Hugging Face, OpenMMLab, or PyTorch Lightning.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;397,020.86 - &#8377;1,745,814.57 per year</p><p>Work Location: In person</p>

AI Researcher – Computer Vision

Virtusa

<div>The AI Lead Developer is responsible for architecting designing and developing advanced AI ML solutions that power intelligent applications and data driven capabilities This role leads the end to end lifecycle of AI development including research model design training deployment monitoring and optimization while guiding a team of engineers and collaborating closely with product data and business stakeholders The AI Lead Developer ensures scalable ethical and production grade AI implementations
<br>
Key Responsibilities
<br>
AI ML Architecture Development
<br>
Architect design and develop machine learning and deep learning models for various use cases NLP CV LLMs recommendation systems predictive analytics etc
<br>
Implement end to end AI pipelines including data processing feature engineering model training evaluation and deployment
<br>
Build scalable and efficient model inference systems using microservices APIs or distributed frameworks
<br>
Optimize models for performance accuracy fairness and cost efficiency
<br>
Technical Leadership
<br>
Lead a team of AI ML engineers and data scientists oversee technical direction and code quality
<br>
Provide mentorship conduct code reviews and establish best practices for AI development
<br>
Collaborate with architects and tech leadership to define AI strategy standards and roadmaps
<br>
MLOps Deployment
<br>
Implement ML operationalization pipelines including model versioning CI CD for ML automated retraining and monitoring
<br>
Work with DevOps and Cloud teams to deploy models to AWS Azure or GCP using tools like SageMaker Vertex AI or Azure ML
<br>
Ensure robust monitoring of model drift data drift performance metrics and reliability
<br>
Research Innovation
<br>
Evaluate and incorporate emerging AI technologies transformers LLMs Diffusion models vector databases RAG etc
<br>
Conduct experimentation and POCs to determine feasibility of new AI solutions
<br>
Stay updated with cutting edge AI research frameworks and best practices
<br>
Collaboration Stakeholder Engagement
<br>
Work closely with product managers data teams and business stakeholders to define AI requirements and translate them into technical solutions
<br>
Communicate complex AI concepts in clear actionable terms for non technical audiences
<br>
Drive AI adoption and provide thought leadership across the organization
<br>
Required Skills Qualifications
<br>
Bachelor s or Master s degree in Computer Science Data Science AI ML or equivalent field
<br>
6 12 years of software AI engineering experience including
<br>
Strong hands on experience building ML DL models using Python TensorFlow PyTorch Scikit learn Transformers or similar frameworks
<br>
Proven experience in designing and deploying AI solutions at scale
<br>
Strong expertise in
<br>
NLP LLMs Computer Vision or Predictive Modeling based on role focus
<br>
Data engineering concepts ETL data pipelines data quality
<br>
Experience with cloud based ML platforms AWS Azure Google Cloud
<br>
Proficiency with MLOps tools MLflow Kubeflow Airflow Docker CI CD
<br>
Strong understanding of distributed systems microservices and API development
<br>
Excellent communication and leadership skills<div><p><b>
About Virtusa</b></p>
<p>Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

AI ML

Mohkaab Enterprise

<p>SourceURL:file:///mnt/sda2/CVs/Mateen/Ai Expert Ads Edited.docx</p><p><b>Salary:</b> Competitive, based on experience<b>Contract Type:</b> Full-Time, Permanent<b>Experience:</b> 3+ Years of Experience</p><p><b>About Us:</b></p><p>We are a leading provider of innovative software solutions in UK, focused on delivering cutting-edge technologies that drive efficiency, automation, and smart decision-making. Our platform is already in use across various industries, and we&rsquo;re looking for an <b>AI Expert</b> to enhance and evolve our software with advanced AI capabilities. Join us and help shape the future of smart software solutions!</p><p><b>Responsibilities:</b></p><p>&middot; Design and deploy <b>LLM-powered tools</b>, chat assistants, and automation modules</p><p>&middot; Implement AI/ML pipelines for <b>inference deployment</b> at scale</p><p>&middot; Collaborate with <b>Backend developers</b> to integrate AI APIs and background processing</p><p>&middot; Optimize model performance and latency, especially on <b>low-resource GPU environments</b></p><p>&middot; Explore and fine-tune open-source models (e.g., LLaMA, Mistral, SQL coders, etc.)</p><p>&middot; Monitor performance, usage, and resource allocation across multiple user sessions</p><p>&middot; Contribute to AI roadmap, architecture decisions, and deployment best practices</p><p><b>Required Skills:</b></p><p>&middot; Hands-on experience with <b>LLMs</b>, <b>NLP</b>, and <b>custom model training/fine-tuning</b></p><p>&middot; Proficiency in <b>Python</b> and frameworks like <b>PyTorch</b> or <b>TensorFlow</b></p><p>&middot; Familiarity with <b>Hugging Face</b>, <b>LangChain</b>, <b>LLM orchestration</b>, and <b>prompt engineering</b></p><p>&middot; Experience deploying AI on <b>AWS</b> or <b>Linux-based environments</b> with <b>Docker</b></p><p>&middot; Experience integrating <b>high-performance LLM serving frameworks</b> (e.g., <b>vLLM</b>, <b>TGI</b>) into backend APIs with support for <b>parallel</b> and <b>batched inference</b></p><p>&middot; Comfortable working with <b>MySQL/MariaDB</b>, <b>Redis</b>, and <b>job queues</b></p><p>&middot; Ability to build and manage <b>GPU-efficient inference workloads</b></p><p><b>Nice to Have:</b></p><p>&middot; Knowledge of <b>multi-tenant inference services</b> or <b>load balancing for AI APIs</b></p><p>&middot; Experience with <b>healthcare AI or analytics dashboards</b></p><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

AI Expert – Smart Software Solutions

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