ml engineer

BeGiG

Job Role- ML EngineerJob Type- Full-TimeWork mode- OnsiteLocation- ChennaiTransport: Cab facility available within a 20 km radiusShift timing- 4 pm to 1 am (Cab facilities will be thereExperience Level: 1&ndash;3 yearsAbout the Role:We are looking for a Machine Learning Engineer with a solid foundation in programming and a keen interest in AI/ML. The ideal candidate should have basic to intermediate programming skills, good system knowledge, and a strong understanding of machine learning, deep learning, and AI fundamentals.Key Responsibilities:<ul><li>Collaborate with data scientists and engineers to develop and deploy ML models.</li><li>Write clean, efficient, and reusable code using Python (mandatory) and C/Java (basic to intermediate level).</li><li>Work with datasets to preprocess, clean, and transform data for ML pipelines.</li><li>Implement basic ML/DL algorithms and help optimize model performance.</li><li>Contribute to system-level design and architecture discussions for ML solutions.</li><li>Stay up to date with trends in ML, DL, and AI technologies.</li></ul>Required Skills &amp; Qualifications:<ul><li>Programming: Basic to intermediate proficiency in C/Java and strong expertise in Python.</li><li>System Knowledge: Good understanding of OS fundamentals, memory management, and performance considerations.</li><li>Mathematics &amp; Statistics: Basic understanding of statistics, probability, and linear algebra.</li><li>Machine Learning &amp; AI: Knowledge of ML algorithms, deep learning frameworks (TensorFlow, PyTorch preferred), and AI concepts.</li><li>Problem-Solving: Strong analytical and debugging skills.</li><li>Communication: Ability to work effectively with cross-functional teams.</li></ul>Nice to Have:<ul><li>Experience with cloud platforms (AWS/GCP/Azure).</li><li>Exposure to MLOps tools or model deployment workflows.</li><li>Hands-on experience with data visualization libraries.</li></ul>Job Type: Full-timePay: Up to &#8377;1,446,861.42 per yearWork Location: In person

ML Engineer

Infutive Technologies Pvt Ltd

Job Title: ML Engineer / Data Scientist &ndash; Generative AIEngagement: Freelance (Remote) Experience Required: 3&ndash;5 yearsAbout the Role:We are seeking an experienced ML Engineer / Data Scientist (Generative AI focus) to join our projects on a freelance basis. The ideal candidate will have hands-on expertise in designing, developing, and deploying AI/ML models, with a strong focus on Generative AI solutions such as LLMs, transformers, and diffusion models.Key Responsibilities:<ul><li>Design, build, and fine-tune Generative AI models (LLMs, GPT, diffusion models, etc.).</li><li>Develop, test, and deploy ML pipelines and APIs for real-world applications.</li><li>Work with large datasets for preprocessing, training, and evaluation.</li><li>Collaborate with cross-functional teams to integrate AI solutions into products.</li><li>Conduct research on cutting-edge GenAI frameworks and propose practical implementations.</li><li>Optimize models for performance, scalability, and cost-effectiveness.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>3&ndash;5 years of hands-on experience in AI/ML development.</li><li>Proven expertise in Python, TensorFlow, PyTorch, or Hugging Face Transformers.</li><li>Strong understanding of LLMs, NLP, embeddings, and deep learning architectures.</li><li>Experience with cloud platforms (AWS, GCP, Azure) for ML deployment.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, CI/CD pipelines) is a plus.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Why Work With Us?<ul><li>Exciting freelance projects in the Generative AI domain.</li><li>Flexible remote working arrangements.</li><li>Opportunity to work on impactful, cutting-edge AI innovations.</li><li>Competitive compensation based on project scope.</li></ul>Job Type: Full-timePay: &#8377;70,000.00 - &#8377;80,000.00 per monthWork Location: In person

Decillion Digital

Job Description:-<ul><li>Ability and experience to deploy ML/ AI/ GenAI models on Snowflake; Strong experience on Snowflake and related services</li><li>Past experience of deployment on Snowflake</li><li>experience on Snowflake Cortex (good to have)</li><li>More experience in handling the machine learning pipelines &amp; ML engineering e.g. managing ML pipeline.</li><li>DevOps experienced candidates are more relevant. With CI/CD knowledge.</li><li>MLflow to monitor performance of models</li><li>Some data engineering / SQL exposure is important</li><li>Good Python skills - environment setup and dependency management, coding as per best practices - knowledge of automatic code review tools like Linting and Black.</li><li>Experience in Snowflake data platform and infrastructure/ Snow-park should be known.</li><li>Docker based deployment is good to have</li></ul>Job Types: Temporary, ContractWork Location: Remote

Decillion Digital Pvt Ltd

Cloudpacer

Cloudpacer is hiring an AI/ML Engineer with 2&ndash;3 years of hands-on experience in building AI-powered systems. The ideal candidate should have expertise in RAG, vector databases, agentic AI frameworks, and backend engineering using Python and modern frameworks.Key Responsibilities<ul><li>Design and implement AI-native solutions using Gen AI, RAG, and vector databases</li><li>Develop and deploy chatbots, agentic AI workflows, and decision-making systems</li><li>Build scalable backend services and APIs with Python (Django, FastAPI, Flask)</li><li>Optimize ML models for accuracy, scalability, and performance</li><li>Preprocess, train, fine-tune, and deploy ML models in production environments</li><li>Collaborate with cross-functional teams to integrate AI into real-world applications</li><li>Ensure system scalability, reliability, and maintainability</li></ul>Required Skills<ul><li>Strong programming skills in Python</li><li>Hands-on experience with Gen AI frameworks (LangChain, PydanticAI, CrewAI, Relevance AI, MCP)</li><li>Knowledge of ML/DL libraries (TensorFlow, PyTorch, Scikit-learn, Keras)</li><li>Experience with RAG-based systems and vector databases (Pinecone, FAISS, Weaviate)</li><li>Proficiency in backend frameworks (Django, FastAPI, Flask)</li><li>Database skills (PostgreSQL, MySQL, Redis)</li><li>Familiarity with Docker, AWS, and deployment pipelines</li></ul>Good to have<ul><li>Experience with NLP, LLM fine-tuning, or Computer Vision</li><li>Knowledge of MLOps tools (MLflow, Kubeflow, CI/CD pipelines)</li><li>Prior research or open-source contributions</li></ul>How to Apply: Fill out this form https://lnkd.in/dpvJE2ycLet us know how your skills can drive our projects to the next level.Location: On-site, LahoreJob Type: Full-timeWork Location: In person

AI/ML Engineer

LimeoX

We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)We are looking for a highly skilled and independent AI/ML Engineer to join our growing team. You&rsquo;ll work on cutting-edge projects involving Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows.This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.Key Responsibilities<ul><li>Build and fine-tune weightage models and LLMs to solve real-world business problems.</li><li>Develop custom prediction models and conduct comparative research to determine the most effective approach.</li><li>Perform AI/ML research and translate innovative concepts into production-ready solutions.</li><li>Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.</li><li>Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.</li><li>Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.</li><li>Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.</li><li>Deploy, monitor, and continuously retrain models to ensure optimal performance over time.</li></ul>Requirements<ul><li>Proven experience as an AI/ML Engineer or similar role.</li><li>Strong Python skills with hands-on experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with Weightage-based algorithms and LLM fine-tuning.</li><li>Solid understanding of clustering and classification techniques.</li><li>Proficiency in automation via Google Apps Script.</li><li>Knowledge of web scraping tools (e.g., Selenium, Playwright).</li><li>Experience with databases (PostgreSQL, MySQL, MongoDB).</li><li>Familiarity with asynchronous programming and multi-threading.</li><li>Strong research skills and ability to work independently.</li></ul>Preferred Qualifications<ul><li>Degree in Computer Science, AI, Data Science, or a related field.</li><li>Experience with cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Contributions to open-source AI projects.</li><li>Knowledge of MLOps practices.</li></ul>Salary &amp; Growth<ul><li>Starting salary: 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).</li><li>Growth: Exponential, based on dedication, research output, and impact.</li><li>Long-term stability with opportunities for leadership in AI projects.</li></ul>Ready to innovate with AI? Apply now and help shape the future of intelligent automation at LimeoX.Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthAbility to commute/relocate:<ul><li>Sargodha: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>AI/ML: 2 years (Preferred)</li><li>Python: 1 year (Preferred)</li><li>Automation: 1 year (Preferred)</li></ul>Work Location: In person

Avanceon

<div>Avanceon is on the lookout for a passionate AI/ML Engineer to design and implement next-gen intelligent systems leveraging semantic search, Retrieval-Augmented Generation (RAG), and multi-agent workflows.
This role offers the opportunity to work on cutting-edge AI solutions in NLP/NLU, LLMs, and applied AI &mdash; driving real business impact and shaping the future of intelligent automation.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Build and deploy semantic search pipelines, RAG systems, and conversational AI solutions.
</li><li>Design and integrate multi-agent workflows for automation and intelligent decision-making.
</li><li>Fine-tune and optimize LLMs and NLP models for domain-specific use cases.
</li><li>Deliver end-to-end AI applications: data ingestion model training production deployment.
</li><li>Stay current with GenAI advancements and apply them to solve real-world business problems.
</li></ul><h2 class="jobSectionHeader">Technical Expertise</h2>
<ul><li>&#9989; Proven experience with LLMs and NLP/NLU techniques.
</li><li>&#9989; Hands-on expertise in semantic search and RAG implementation.
</li><li>&#9989; Familiarity with multi-agent frameworks (LangChain, LlamaIndex, etc.).
</li><li>&#9989; Strong in Python, ML frameworks (PyTorch, TensorFlow), and vector databases.
</li><li>&#9989; Exposure to cloud platforms (AWS, Azure, GCP) &amp; MLOps best practices.
</li></ul><h2 class="jobSectionHeader">Qualifications</h2>
<ul><li>Bachelor's or Master's in Computer Science, AI, Data Science, or a related field.
</li><li>Minimum 2 years' experience in AI/ML solution development.
</li><li>Solid foundation in software engineering principles and best practices.
</li></ul><h2 class="jobSectionHeader">Why Join Avanceon?</h2>
<ul><li>Work on high-impact AI solutions with global exposure.
</li><li>Be part of a fast-growing AI innovation journey.
</li><li>Collaborative, innovative, and growth-oriented work culture.
</li><li>Continuous learning opportunities with access to latest AI/ML tools &amp; resources.</li></ul></div>

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