ai/ml specialist

Capgemini Engineering

<div><p>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
</p><div><div><div><h2 class="jobSectionHeader"><b>Key Respobsibilities
</b></h2></div><div><p>We are looking for an experienced <b>AI/ML expert </b>to develop and deploy intelligent edge computing solutions for real-time monitoring, control, and optimisation of manufacturing process. The focus will be on AI/ML model development, edge-cloud integration, and data-driven process control.
</p><p><b>You will be accountable for:
</b></p><ul><li>Designing and implementing edge computing solution for a manufacturing process, including hardware/software integration and secure cloud connectivity.
</li><li>Developing, training, and deploying machine learning models (e.g., lightweight CNNs, LFMs) for real-time anomaly detection, defect classification, and closed-loop process control on edge devices.
</li><li>Implementing intelligent data filtering and streaming methods to prioritise and transmit high-value process data to the cloud, supporting continuous model improvement.
</li><li>Collaborating with multidisciplinary teams to ensure seamless integration of AI/ML solutions with manufacturing systems.
</li><li>Preparing technical documentation and contribute to scientific publications/white papers
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile
</b></h2></div><div><ul><li>Master's degree in Data Science, Materials Engineering, Mechanical Engineering, or related technical field
</li><li>Minimum 2 years of hands-on experience implementing edge computing solutions, industrial IoT applications, and cloud integration architectures
</li><li>Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced programming skills (Python, C++), and proficiency with data processing tools (OpenCV, GStreamer)
</li><li>Proven experience in developing real-time data analysis systems, implementing anomaly detection algorithms, and designing process control solutions
</li><li>Outstanding analytical capabilities, creative problem-solving approach, and effective communication skills across technical and non-technical audiences
</li><li>Working knowledge of manufacturing standards (e.g., ASTM F3605) and quality assurance methodologies
</li><li>Proven experience architecting solutions with cloud platforms (AWS, Azure) and implementing secure data management practices
</li><li>Knowledge of Additive Manufacturing technologies and applications is a distinct advantage
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>What You&rsquo;ll Love About Working Here
</b></h2></div><div><ul><li>Be part of a world-class engineering organization, working on some of the most challenging AI problems in manufacturing, energy, automotive, life sciences, and beyond.
</li><li>Access to global AI research and innovation networks, with opportunities for continuous learning and certifications.
</li><li>A supportive, diverse, and inclusive culture where innovation thrives.
</li><li>Three Horizon Roadmap: Capgemini pioneers the dynamic landscape of innovation thanks to its &quot;Three Horizon&quot; framework, covering the entire journey of the innovation cycle and helping clients to unleash their R&amp;D potential.
</li><li>Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
</li><li>Communities: Our Framework drives career development and elevates Capgemini's capabilities across various domains. Roles like architects, software engineers, these communities form the pillars of our Engineering Career Framework, outlining the foundational elements and anticipated growth.
</li><li>Mentoring programs: Capgemini empowers women at all career stages with programs spanning STEM education to career reentry. We value mentorship for fostering professional growth and empowerment within our engineering community.
</li><li>Worldwide Leader of Engineering Services: Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&amp;D potential to develop smart products and services of tomorrow.
</li></ul></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

AI/ML Specialist

xiHawks

<p><b>We&rsquo;re Hiring: Python Developer (AI/ML Specialist)</b></p><p><b>Location:</b> Bahria Orchard, Raiwind Road, Lahore (Onsite)<br/><b>Type:</b> Full-Time<br/><b>Experience:</b> 2&ndash;4 Years</p><p>&#10024; <b>About the Role</b><br/>xiHawks is looking for a <b>Python Developer with AI/ML expertise</b> to craft intelligent, data-driven solutions. If you thrive in building <b>scalable ML models, AI-powered apps, and real-world automation</b>, this is the role for you!</p><p><b>Key Responsibilities</b><br/>Develop &amp; maintain Python-based applications with AI/ML focus<br/>Build, train &amp; optimize ML/DL models (TensorFlow, PyTorch, Scikit-learn)<br/>Work on <b>NLP, Computer Vision, and predictive analytics</b><br/>Deploy ML models using APIs, Docker, and cloud platforms (AWS/GCP/Azure)<br/>Collaborate with cross-functional teams to integrate AI features<br/>Ensure model scalability, performance &amp; real-time processing</p><p><b>What We&rsquo;re Looking For</b><br/>Strong Python skills + ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)<br/>Experience with <b>data preprocessing, feature engineering &amp; model deployment</b><br/>Knowledge of REST APIs, Flask/Django, and cloud ML services<br/>Bonus: Hands-on with <b>NLP, Computer Vision, or Deep Learning projects</b><br/>Analytical mindset + problem-solving + teamwork</p><p><b>Perks &amp; Benefits</b><br/>Competitive Salary Package<br/>Fuel Allowance<br/>34 Paid Leaves<br/>Medical Insurance<br/>Provident Fund<br/>Cutting-edge projects in AI/ML</p><p><b>How to Apply</b><br/>Send your CV to <b>hr@xihawks.com</b> with subject line:<br/><b>&ldquo;Application &ndash; Python Developer (AI/ML Specialist)&rdquo;</b></p><p>&#10024; Be part of a team where <b>innovation meets intelligence</b> &ndash; Join xiHawks today!</p><p>#xiHawks #HiringNow #PythonDeveloper #AI #MachineLearning #DeepLearning #DataScience #LahoreJobs #CareerGrowth</p><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs170,000.00 per month</p><p>Application Question(s):</p><ul><li>This is an on-site Role.  Our office is located at Bahria Orchard, Raiwind Road, Lahore. Can you commute here for this on-site work? Office hours are 8 AM to 5 PM (Mon-Fri).</li></ul><p>Work Location: In person</p>

Python Developer

Cartafella Analytics

<p>We are looking for AI Consultant/Architect for Qatar location.</p><p>Years of Experience: 8-10 years</p><p>Job Description</p><p>Designs AI-driven solutions to enhance SAP systems, integrating machine learning and AI technologies to optimize business processes.</p><p>Duties/Task</p><p>Design AI/ML solutions, integrate AI with SAP, conduct Data analysis, implement AI-based tools.</p><p>Qualifications and Experience</p><p>8-10 years in AI/ML, experience with SAP, expertise in AI</p><p>Platforms (e.g., TensorFlow), and programming skills in Python/R.</p><p>If you are available please send your cv immediately</p><p>Job Type: Full-time</p><p>Pay: QAR20,000.00 - QAR26,500.00 per month</p><p>Experience:</p><ul><li>AI/ML: 6 years (Preferred)</li><li>SAP: 2 years (Preferred)</li><li>Python/R: 3 years (Preferred)</li></ul>

AI Consultant/Architect for Qatar

Accenture

<p><b>Project Role : </b>Data Science Practitioner<br>
<b>Project Role Description : </b>Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
<br>
<b>Must have skills : </b>Machine Learning<br>
<b>Good to have skills : </b>Generative AI<br>
Minimum <b>15</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Scientist, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency, and enhancing user experiences. Roles &amp; Responsibilities &bull; Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems. &bull; Conduct thorough experimentation, iterative testing, and evaluation of ML models to improve performance, accuracy, and scalability. &bull; Extract actionable insights from data through advanced analytics, ensuring alignment with business objectives and strategy. &bull; Partner closely with Data Engineers and Software Engineers to integrate, deploy, and monitor ML solutions in production environments, ensuring scalability and reliability. Professional &amp; Technical Skills:- &bull; Deep knowledge of machine learning algorithms, statistics, and data modeling techniques &bull; Proficiency in Sagemaker, JupyterNotebooks, ML, AI, Deeplearning, Python, Frameworks like PyTorch, Tensor. Ecosystems like Huggingface, Practices like MLOps &bull; Experience with ML development and MLOps on cloud services (AWS). &bull; Strong experience with SQL/NOSQL and familiarity with handling large datasets, data preprocessing, and feature engineering. &bull; Excellent ability to clearly communicate complex data science concepts to technical and non-technical stakeholders. &bull; Demonstrated expertise in deploying, managing, and monitoring advanced NLP and LLM models- Deep expertise in transformer architectures, prompt engineering, semantic search techniques, and generative AI applications. Additional Information: &bull; Candidate should have minimum 8 &ndash;10 yrs of experience in Data Science.</p>
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15 years full time education

Data Science Practitioner

Adobe

<div>
 <strong>
  Our Company
  <br/>
  <br/>
 </strong>
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 <br/>
 <br/>
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 <br/>
 <br/>
 The Opportunity
 <br/>
 <br/>
 Adobe is seeking Product Analytics Experts passionate about data collection, AI/ML, problem-solving, and data-driven decision-making. If you're excited to uncover hidden data trends, optimize user experiences, and drive growth for Adobe's Experience Cloud products, this is your opportunity to make a significant impact.
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 <br/>
 Responsibilities:
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 <ul>
  <li>
   Data Collection/Telemetry: Lead data collection efforts using tools like Adobe WebSDK and Adobe Launch, ensuring accurate tracking of user interactions and product performance. Collaborate with engineering teams to ensure smooth data flow and integrity.
  </li>
  <li>
   AI/ML Application: Leverage AI and machine learning algorithms to automate data collection workflows, data validation of telemetry, predict trends, uncover insights, and optimize product features.
  </li>
  <li>
   Product Optimization: Provide data-driven recommendations to optimize Adobe&rsquo;s Experience Cloud products, applying AI/ML models for continuous improvement.
  </li>
  <li>
   Cross-Functional Collaboration: Work with product, engineering, and marketing teams to turn business needs into data-driven solutions.
  </li>
  <li>
   End-to-End Project Ownership: Independently manage analytics projects, ensuring that data insights are implemented effectively to drive business impact.
  </li>
  <li>
   Storytelling &amp; Communication: Present data insights clearly to both technical and non-technical stakeholders to inform product and business decisions.
   <br/>
   <br/>
  </li>
 </ul>
 Must-Have Requirements:
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 <ul>
  <li>
   Experience: 3&ndash;5 years in data collection/telemetry, product analytics, data science, or related fields with a proven track record of solving complex problems using data in real-world environments.
  </li>
  <li>
   SQL Expertise: Strong proficiency in SQL, especially in big data environments (e.g., working with distributed data warehouses like BigQuery, Snowflake, Redshift).
  </li>
  <li>
   AI/ML Skills:
  </li>
  <li>
   Hands-on experience applying machine learning algorithms to real-world problems such as product optimization, predictive modeling, user behavior analysis, or anomaly detection.
  </li>
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   Practical use of AI/ML to automate data collection workflows, detect and correct telemetry errors, and uncover hidden insights in user interaction data.
  </li>
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   Experience with feature engineering, model evaluation, and iteration in production settings.
  </li>
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   Understanding of AI Models: Solid understanding of AI models, including ML supervised and unsupervised techniques. Experience working on production-level AI applications, contributing to model deployment, monitoring, and continuous improvement pipelines.
  </li>
  <li>
   Programming Skills: Proficiency in Python or R for data analysis, statistical modelling, and implementing foundational to intermediate machine learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch.
  </li>
  <li>
   Cross-Functional Collaboration: Proven ability to collaborate effectively with product managers, engineers, and designers to develop data-informed strategies and solutions.
  </li>
  <li>
   Communication Skills: Ability to distil and present complex data insights in a clear, actionable manner tailored to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 Good-to-Have:
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 <ul>
  <li>
   Adobe Analytics: Experience with Adobe Analytics or Adobe Customer Journey Analytics.
  </li>
  <li>
   Clickstream Data Implementation: Familiarity with tools like Adobe Launch or Google Tag Manager (GTM) for product tracking strategies.
   <br/>
   <br/>
  </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 <br/>
 <br/>
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>


Product Analyst

Paxcom

<div><div><b>ABOUT US:</b></div><div></div><div><br>
Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa.</div><div></div><div><br>
Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options.</div><div><b>
For more details, please visit </b>http://paymentus.com</div><div></div><div><b><br>
Job Location:</b> Hybrid</div><div><b>
Job Type:</b> Permanent</div><div><b>
Interview process: </b>Coding challenge &gt;&gt; Managerial webcam round (Tech + Managerial)</div><div>
Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions.</div><div><b>
Requirements:</b></div><br>
<div></div><ul><li>
Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies.</li><li>
Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 &amp; 4, and Prompt Engineering.</li><li>
Experience in creating basic RAG pipelines.</li><li>
Familiarity with cloud services such as AWS (EC2, S3, ECR).</li><li>
Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning.</li><li>
Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases.</li></ul><div></div><div><b><br>
Area of expertise:</b></div><br>
<div></div><ul><li>
In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or,</li><li>
Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or,</li><li>
Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods.</li><li>
Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment.</li><li>
on-making and the ability to justify actions effectively.</li></ul><div></div><div><b><br>
Why Join Us?</b></div><ul><li>
Empowerment to focus on pivotal tasks.</li><li>
Embrace a flexible and laid-back work atmosphere.</li><li>
Prioritize work-life balance.</li><li>
Appreciate collaborating with a goal-driven team.</li><li>
Interact with an approachable, supportive, and accomplished management team.</li><li>
Competitive compensation package.</li><li>
Engage with cutting-edge technologies as they emerge in the market.</li><li>
Witness the direct impact of your code on the lives of millions of customer.</li></ul></div><div></div>

Machine Learning Engineer (Gurugram)

HSBC

<div>
 <strong>
  Some Careers Have More Impact Than Others.
  <br/>
  <br/>
 </strong>
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 <br/>
 <br/>
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 <br/>
 <br/>
 We are currently seeking an experienced professional to join our team in the role of
 <strong>
  Machine Learning Data Scientist
  <br/>
  <br/>
 </strong>
 <strong>
  Business: Global Banking &amp; Markets
  <br/>
  <br/>
 </strong>
 <strong>
  Principal Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
  </li>
  <li>
   Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
  </li>
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   Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
  </li>
  <li>
   Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
  </li>
  <li>
   Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
  </li>
  <li>
   Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
  </li>
  <li>
   Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
  </li>
  <li>
   To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
  </li>
  <li>
   Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
  </li>
  <li>
   Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
  </li>
  <li>
   Awareness of a broad range of ML techniques.
  </li>
  <li>
   Google Vertex an advantage.
  </li>
  <li>
   Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
  </li>
  <li>
   Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
  </li>
  <li>
   Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
  </li>
  <li>
   Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
  </li>
  <li>
   Hands on ability to perform data analysis to drive business insights and decision making.
  </li>
  <li>
   Proactive and willing to use own initiative to resolve issues.
  </li>
  <li>
   Excellent communication and interpersonal skills.
  </li>
  <li>
   Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You&rsquo;ll achieve more at HSBC
  <br/>
  <br/>
 </strong>
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 <br/>
 <br/>
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
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 <ul>
  <li>
   Issued By HSBC Electronic Data Processing (India) Private LTD***
  </li>
 </ul>
</div>


Machine Learning Data Scientist (Blr)

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