ai/ml engineer

Liamliang Traveller private limited

<p>We are looking for an innovative and results-driven <b>AI/ML Engineer (2+ years of exp) with strong expertise in Python </b>to design, develop, and deploy AI and machine learning models. You will collaborate with cross-functional teams to solve real-world problems using AI solutions that drive business impact.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and implement AI/ML models and algorithms using Python.</li><li>Build and optimize data pipelines for training and deploying models at scale.</li><li>Work with large, complex datasets to extract meaningful insights and features.</li><li>Develop production-ready code and deploy AI models into cloud or on-prem environments.</li><li>Collaborate with software engineers, data scientists, and product teams to integrate AI solutions into products or services.</li><li>Stay updated with the latest AI/ML frameworks and Python libraries <b>(e.g., TensorFlow, PyTorch, scikit-learn, Pandas).</b></li><li>Conduct research and experiments to solve complex business problems using AI/ML techniques.</li><li>Document processes, experiments, and results clearly for stakeholders.</li><li>Ensure the scalability, reliability, and efficiency of AI systems.</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>2+ years of experience in AI/ML development.</li><li>Strong proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and data preprocessing techniques.</li><li>Experience with version control systems (e.g., Git).</li><li>Familiarity with deploying models using cloud platforms (AWS, Azure, GCP) or Docker/Kubernetes.</li><li>Excellent problem-solving and analytical skills.</li><li>Good communication and teamwork skills.</li><li>Experience with Natural Language Processing (NLP) or Computer Vision.</li></ul><p>Immediate joiner</p><p>only work from office</p><p>Note; candidate who apply for this role must fill the screening questions</p><p>Job Type: Full-time</p><p>Pay: Up to &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Commuter assistance</li><li>Paid sick time</li><li>Paid time off</li></ul><p>Application Question(s):</p><ul><li>what is your total experience as an AI/ML Engineer?</li><li>Which Python AI/ML frameworks have you worked with?</li><li>How soon can you join ?</li><li>What is your expected salary ?</li><li>what is your current salary ?</li><li>Where are you based?</li><li>Do you think this role is a good match for your skills and experience? If yes, please tell us why</li></ul><p>Work Location: In person</p>

AI/ML Engineer

Quantum AI Systems

<p><b>Job Summary:</b><br/>The AI/ML Engineer will design, develop, and deploy advanced machine learning models and intelligent systems to solve complex business problems. The role involves working with large datasets, performing data preprocessing, experimenting with algorithms, and optimizing models for performance and scalability.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and deploy end-to-end machine learning solutions.</li><li>Perform data collection, cleansing, transformation, and feature engineering.</li><li>Train, validate, and optimize ML/DL models for production use.</li><li>Collaborate with data scientists and engineers to integrate models into applications.</li><li>Monitor model performance and retrain as necessary to maintain accuracy.</li><li>Stay updated with emerging AI technologies and frameworks.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Strong proficiency in <b>Python</b> and ML frameworks such as <b>TensorFlow</b> or <b>PyTorch</b>.</li><li>Solid understanding of machine learning algorithms and deep learning architectures.</li><li>Experience with <b>cloud ML platforms</b> (AWS Sagemaker, Azure ML, or Google Vertex AI).</li><li>Familiarity with version control, CI/CD pipelines, and model deployment practices.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.</li></ul><p>Job Types: Full-time, Contractual / Temporary</p><p>Pay: &#8377;750,000.00 - &#8377;1,150,000.00 per year</p><p>Experience:</p><ul><li>AI and ML: 4 years (Required)</li><li>Python, TensorFlow/PyTorch: 4 years (Required)</li><li>Cloud ML services: 4 years (Preferred)</li></ul><p>Work Location: Remote</p>

Appsians

<p><b>Appsians IT Solution </b>is looking for a passionate and proactive <b>AI/ML Engineer</b> 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 <b>Responsibilities</b>:</p><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><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li><b>1.5 year to 3 years</b> 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><p>Send your resume to hr@appsians.com with the subject line: &ldquo;AI/ML Developer Application<br/>Location: Lahore DHA Phase 4<br/>Job type: Full Time / onsite</p><p>Job Type: Full-time</p><p>Pay: Rs70,000.00 - Rs80,000.00 per month</p><p>Work Location: In person</p>

Siemens EDA (Siemens Digital Industries Software)

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  We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the R&amp;D team at Siemens EDA. In this role, you will :
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   Architect, design, and implement AI algorithms and applications using modern software development practices to enhance simulation tools' performance and capabilities.
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   Create prototypes to validate ideas and features quickly. Experiment with various algorithms and technologies to improve AI capabilities and software solutions.
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   Contribute to the development and enhancement of production-quality components, algorithms, and engines while supporting and improving existing codebases.
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   Solve complex, open-ended problems in collaboration with a senior group of engineers in a fast-paced and dynamic environment.
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   Apply technical expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies to achieve project milestones.
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   Stay self-motivated, disciplined, and focused while driving innovation within the team.
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   Should have :
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   Experience with conceptualizing, defining, architecting, and implementation of an open-ended problem scope or new ideas.
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   Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures.
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   Hands-on experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning.
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   Hands-on experience with developing ML pipelines, database management and cloud services.
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   Knowledge of machine learning and deep learning frameworks.
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   Experience working on UNIX and/or LINUX platforms.
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   Excellent problem-solving and analytical skills.
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   Proven ability to work independently, take ownership of tasks, and deliver results
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   Good to have :
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   Basic knowledge of Digital Electronics and concepts related to System Verilog, Verilog, and VHDL.
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   Exposure to Simulation technologies or Formal-based Verification methodologies is a plus.
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   Education :
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  A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Electrical
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  Engineering, or a related technical field from an accredited institution.
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Analytica-data

<p>We are seeking a skilled and innovative <b>AI/ML Engineer</b> to join our growing tech team. The ideal candidate will have a strong foundation in <b>machine learning algorithms, data preprocessing, and model deployment</b>. You will work closely with data scientists, software developers, and business stakeholders to design, develop, and deploy intelligent solutions that drive data-based decision-making and automation.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, build, and deploy scalable <b>machine learning models</b> and AI-driven applications.</li><li>Preprocess, clean, and analyze structured and unstructured datasets.</li><li>Implement and fine-tune algorithms for classification, regression, clustering, NLP, or computer vision tasks.</li><li>Collaborate with cross-functional teams to integrate ML models into production systems.</li><li>Evaluate model performance using appropriate metrics and continuously improve accuracy.</li><li>Stay current with advancements in AI/ML frameworks, tools, and methodologies.</li><li>Work with cloud platforms (AWS, GCP, Azure) for model training and deployment.</li><li>Document technical processes and findings clearly.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li><b>2&ndash;3 years of experience</b> in applied machine learning or data science roles.</li><li>Strong programming skills in <b>Python</b> and familiarity with libraries such as <b>TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas</b>.</li><li>Experience with <b>data preprocessing, feature engineering, and model evaluation</b>.</li><li>Knowledge of <b>SQL</b> and experience with data visualization tools (Matplotlib, Seaborn, Power BI, etc.).</li><li>Understanding of software engineering principles and version control (Git).</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

<div><div><b>BPM India Advisory Service Private Limited </b>- Formerly known as &ldquo;Burr Pilger Mayer India Private Limited&rdquo;. <b>(BPM India) </b>is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm&rsquo;s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry.</div><div></div><div><b><br>
Job Summary</b></div><div>
We are seeking an AI/ML Engineer to join BPM&rsquo;s Enterprise Technology Solutions team. This role is for a builder &mdash; someone who doesn&rsquo;t just experiment with AI but makes it work inside the firm at scale. You&rsquo;ll take AI tools and models and embed them into BPM&rsquo;s day-to-day operations, ensuring they deliver real business value.</div><div></div><div><br>
In this role, you&rsquo;ll design and develop AI-powered applications &mdash; from chatbots and copilots to workflow automations &mdash; that streamline processes across Tax, Assurance, Advisory, and our Corporate Services Team. You&rsquo;ll partner with teams to spot opportunities where AI can cut manual effort, increase accuracy, and speed up delivery, then turn those opportunities into working solutions.</div>
<h3 class="jobSectionHeader"><b>Job Responsibilities</b></h3><ul><li><b>
Model Development</b>: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions).</li><li><b>
Data Engineering</b>: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation.</li><li><b>
AI Integration</b>: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform.</li><li><b>
Automation</b>: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices.</li><li><b>
Collaboration</b>: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals.</li><li><b>
Experimentation &amp; Innovation</b>: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption.</li><li><b>
Governance &amp; Quality</b>: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM&rsquo;s standards.</li><li><b>
Required Skills &amp; Experience</b></li><li>
Strong background in machine learning, data science, and applied AI.</li><li>
Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools.</li><li>
Experience building chatbots, copilots, or similar AI-driven automation.</li><li>
Solid programming skills with Python.</li><li>
Knowledge of MCP (Model Context Protocol) is a plus.</li><li>
Experience preparing datasets and building ML pipelines.</li><li>
Familiarity with product development lifecycles and agile delivery practices.</li><li>
Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data.</li><li>
Strong problem-solving skills with ability to translate business needs into AI solutions.</li><li>
Excellent collaboration and communication skills to work across technical and non-technical teams.</li><li>
Ability to explain complex AI concepts simply to stakeholders.</li><li>
Bachelor&rsquo;s degree in a relevant field along with at least 3 years of related work experience.</li></ul><h3 class="jobSectionHeader"><b>
Qualification</b></h3><ul><li>
Experience with cloud platforms (Azure preferred)</li><li>
Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas.</li><li>
Knowledge of enterprise data governance, compliance, and responsible AI practices.</li><li>
Prior experience in professional services (accounting, consulting, or similar) a plus.</li></ul><div><b>
Knowledge &amp; Experience</b></div><ul><li>
At least 3 years of applied AI experience</li><li>
Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments.</li><li>
Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK.</li><li>
Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency.</li><li>
Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases.</li><li>
Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices.</li><li>
Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders.</li><li>
Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM.</li><li>
Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies.</li><li>
Able to adjust quickly to the fast-evolving AI/ML landscape</li><li>
Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership.</li><li>
Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership.</li><li>
Naturally curious, persuasive, and motivated to drive adoption of innovative technologies.</li><li>
Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations.</li><li>
Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases.</li><li>
Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs.</li><li>
Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments.</li><li>
Persistent and results-oriented, with a track record of seeing projects through to completion.</li></ul><div>
Wondering if you should apply?</div><div></div><div><br>
At BPM we are people who value people. We are progressive and purposeful. We are a firm with flexibility. Our shared entrepreneurial spirit drives us to see and do things differently. And our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger.</div><div></div><div><br>
***************</div><div></div><div><br>
BPM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. BPM welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.</div><div></div><div><br>
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.</div><div></div><div><br>
Please note - this posting is for prospective candidates only. Unsolicited third-party resume submissions will be considered property of BPM and will not be acknowledged or returned.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AI ML Engineer

Liquid Technologies

<p>We are seeking an experienced and innovative Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, NLP, computer vision, and large-scale ML systems, with a passion for applying AI to solve complex real-world problems.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy end-to-end ML pipelines (data preprocessing, model training, evaluation, deployment).</li><li>Lead R&amp;D in deep learning, NLP, computer vision, and generative AI to build state-of-the-art solutions.</li><li>Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.</li><li>Conduct experiments, analyze results, and present insights to stakeholders.</li><li>Stay updated with the latest advancements in AI/ML and evaluate their applicability.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Data Science, or related field (PhD preferred).</li><li>4+ years of experience in AI/ML model development and deployment.</li><li>Strong programming skills in Python with libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>Expertise in one or more areas: NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li><li>Strong background in data structures, algorithms, and mathematics for ML.</li><li>Proven track record of deploying ML models into production environments.</li></ul><p>Location: Karachi (On-site)</p><p>Department: Artificial Intelligence / Data Science</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>Have you deployed at least 3 machine learning models into a production environment?</li><li>On a scale of 1 to 10, how would you rate your proficiency in PyTorch?</li><li>Do you have hands-on experience with Kubernetes for scaling ML workloads?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li></ul><p>Work Location: In person</p>

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