ai/ml engineer

Vikgol Technologies Private Limited

Job Title: AI/ML Engineer Experience: 2-8 Years Location: Bangalore, Hyderabad, Pune, Delhi NCR, Chennai Job Type: Full-timeJob Description: We are looking for an AI/ML Engineer to create intelligent systems that leverage data to solve complex business problems. You will design and implement machine learning models and integrate them into our applications.Responsibilities:<ul><li>Research, design, and implement machine learning models and algorithms.</li><li>Perform data preprocessing, analysis, and feature engineering.</li><li>Train, test, and deploy models into production environments.</li><li>Collaborate with software engineers to integrate ML models into applications.</li><li>Stay up-to-date with the latest developments in the AI/ML field.</li></ul>Requirements:<ul><li>2-8 years of experience in building and deploying ML models.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.</li><li>Experience with data manipulation and analysis using Pandas, NumPy, etc.</li><li>Solid understanding of math, probability, statistics, and algorithms.</li><li>Experience with cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML) is a plus.</li></ul>Job Type: Full-time

AI/ML Engineer

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

Tech Next

AI-ML EngineerTimming &ndash; 11am-8:30 pmLocation &ndash; Remote (Once in a month )Exp &ndash; 8+ yearsPrimary Responsibilities:<ul><li>Design, develop, and deploy AI/ML models using Python, Azure Machine Learning and GenAI model.</li></ul><ul><li>Integrate AI solutions with Microsoft Cloud services such as Azure Functions, Azure Data Lake, Azure Synapse, and Azure Cognitive Services.</li></ul><ul><li>Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver scalable solutions.</li></ul>&bull;Optimize and monitor model performance in production environments.&bull;Ensure security, compliance, and best practices in cloud-based AI deployments.&bull;Stay current with emerging AI technologies and trends, especially within the Microsoft ecosystemJob Description:&bull;Bachelor&rsquo;s or master&rsquo;s degree in computer science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related field&bull;5+ years of hands-on experience in machine learning engineering or AI/ML development using Python and cloud-based tools&bull;Deep expertise in large language models (LLMs) such as GPT, Gemini, and related architectures&bull;1+ years of experience working with Generative AI and Retrieval-Augmented Generation (RAG) systems in production environments&bull;Proficient in designing and deploying LLM-powered applications using LangChain, LangGraph, and vector databases like FAISS and Pinecone&bull;Strong understanding of deep learning architectures (e.g., Transformers) with practical experience using ML frameworks such as PyTorch, TensorFlow, Keras, and Scikit-learn&bull;Proficiency in data manipulation and analysis using Pandas, NumPy, and other Python data libraries&bull;Hands-on experience with Microsoft Azure, including Azure Machine Learning, Azure DevOps, and other cloud-native services for scalable ML workflows&bull;Familiarity with REST APIs, containerization (Docker), and CI/CD pipelines&bull;Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross-functional teams&bull;Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).&bull;Experience with MLOps and model lifecycle management.&bull;Familiarity with healthcare data standards (X12, HL7) is a plus.&bull;Experience with Power BI or other Microsoft analytics tools.Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 6 monthsPay: &#8377;80,000.00 - &#8377;90,000.00 per monthExperience:<ul><li>Generative AI: 8 years (Required)</li><li>AI/ML: 8 years (Required)</li></ul>Work Location: Remote

IRIS Business Services Ltd

<div><div>About IRIS:</div><div>
IRIS Business Services Limited is India&rsquo;s only listed SaaS company specializing in regulatory technology across 54 countries. With over 20 years of hands-on expertise in XBRL/iXBRL compliance, data and analytics, we empower issuers, regulators, governments and institutional clients with cutting-edge automation and intelligent data solutions. Headquartered in Navi Mumbai, with offices in Hyderabad, Surat and Delhi NCR, and subsidiaries in the USA, Singapore and Italy, IRIS is ISO 27001:2013 certified and a proud member of XBRL International, XBRL US, XBRL Europe and XBRL South Africa.</div><div></div><div> 
Job Title : AI/ML Engineer</div><div></div><div> 
Location: Vashi, Navi Mumbai (Work from Office)</div><div></div><div> 
Key Responsibilities:</div><ul><li>
Design, develop, and deploy AI/ML models using PyTorch and TensorFlow.</li><li>
Implement scalable APIs and services using FastAPI for model integration.</li><li>
Apply Scikit-learn and other ML libraries to build classical ML solutions where relevant.</li><li>
Develop Generative AI models and integrate RAG pipelines for intelligent information retrieval.</li><li>
Experiment with and implement Agentic AI frameworks for autonomous decision-making systems.</li><li>
Collaborate with data scientists, engineers, and product managers to align AI initiatives with business needs.</li><li>
Optimize models for performance, scalability, and cost-efficiency in production environments.</li><li>
Stay updated with the latest research and advancements in AI/ML and apply them in practical scenarios.</li></ul><div></div><h3 class="jobSectionHeader"> 
Must-Have Skills &amp; Qualifications</h3><ul><li>
5+ years of hands-on experience as an AI/ML Engineer or similar role.</li><li>
Strong proficiency in PyTorch and TensorFlow.</li><li>
Experience with FastAPI for developing and deploying APIs.</li><li>
Solid understanding of Scikit-learn and traditional ML techniques.</li><li>
Proven expertise in Generative AI (GenAI).</li><li>
Hands-on experience with RAG (Retrieval Augmented Generation) implementations.</li><li>
Experience building and deploying Agentic AI systems.</li><li>
Strong problem-solving skills and ability to work in cross-functional teams.</li><li>
Excellent communication skills.</li></ul><div>
</div><div>
Good-to-Have:</div><ul><li>
Knowledge of cloud platforms (AWS, GCP, or Azure) for AI/ML deployment.</li><li>
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).</li><li>
Experience with MLOps frameworks for model lifecycle management.</li><li>
Contributions to AI/ML open-source projects or published research.</li></ul><div>
</div><div>
Educational Qualifications:</div><div>
Bachelor&rsquo;s or master&rsquo;s degree in:</div><ul><li>
Computer Science / Engineering</li><li>
Mathematics</li><li>
Statistics or related quantitative fields</li></ul><div>
</div><div>
What We Value:</div><ul><li>
Rapid Learners: You pick up new tools, libraries and concepts on the fly.</li><li>
Humble Collaborators: You seek feedback, share knowledge and prioritize team wins.</li><li>
Fast Executors: You deliver well-tested code under tight timelines without sacrificing quality.</li></ul><div></div><div> 
Awards won by IRIS</div><ul><li>
Won recognition as India&rsquo;s best Fintech at the Financial Express Best Banks Awards. &ndash; an award that was presented to our CEO by Smt Nirmala Sitharaman, Finance Minister, Govt of India.</li><li>
IRIS has been selected as the &lsquo;Best Tax Technology Service Provider 2022&rsquo; in category National Taxation Awards &ndash; at the prestigious TIOL Awards.</li><li>
IRIS CARBON has won &lsquo;The Most Agile/Responsive SaaS Solution of the Year&rsquo; award at the 2022 SaaS Awards by Awarding and Consultancy International.</li></ul></div><div></div>

AI/ ML Engineer

MayilVeera Tech Solutions

Job DescriptionWe are looking for a highly motivated AI/ML Engineer to join our team at MayilVeera. The ideal candidate should have a strong academic foundation in Artificial Intelligence and Machine Learning, with hands-on experience in training, fine-tuning, and deploying AI models. Fresh graduates with good knowledge in AI and passion for real-world applications are encouraged to apply.Key Responsibilities<ul><li>Design, develop, and deploy AI-driven solutions, including NLP-based chatbots.</li><li>Train, fine-tune, and evaluate machine learning and deep learning models using real-world datasets.</li><li>Implement and optimize models for intent classification, entity extraction, sentiment analysis, and text generation.</li><li>Work with NLP tools and libraries to build conversational interfaces.</li><li>Collaborate with developers, product managers, and designers to deliver seamless AI experiences.</li><li>Integrate AI solutions with backend systems, APIs, and cloud platforms.</li><li>Monitor, evaluate, and improve models based on performance metrics and user feedback.</li><li>Stay updated with the latest trends in AI research and machine learning.</li></ul>Required Skills &amp; QualificationsArtificial Intelligence / Machine Learning<ul><li>Strong understanding of supervised, unsupervised, and deep learning algorithms.</li><li>Hands-on experience in model training, validation, tuning, and deployment.</li><li>Proficiency in ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost.</li><li>Ability to work with large datasets for model experimentation.</li></ul>Natural Language Processing (NLP)<ul><li>Experience with intent recognition, entity extraction, semantic search, and language modeling.</li><li>Proficiency with libraries such as SpaCy, NLTK, HuggingFace Transformers, Rasa NLU.</li><li>Knowledge of integrating or fine-tuning pre-trained LLMs (GPT, BERT, etc.).</li></ul>Perks &amp; Benefits<ul><li>Opportunity to work on cutting-edge AI projects.</li><li>Hands-on exposure to real-world ML/NLP applications.</li><li>Guidance and mentoring in AI model development and deployment.</li><li>Growth-oriented environment for freshers.</li></ul>Job Type: Full-timePay: &#8377;10,000.00 - &#8377;12,000.00 per monthApplication Question(s):<ul><li>Rate yourself in the Mobile App Development. </li></ul>Work Location: In person

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with ou r team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 


We are seeking a skilled and motivated AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate will have hands-on expertise in building and deploying AI/ML solutions on the Azure platform, with a strong focus on Large Language Models (LLMs), Agentic Solutions, Retrieval-Augmented Generation (RAG) systems, and Azure ML Studio. You will play a key role in designing intelligent systems, deploying scalable models, and integrating advanced AI capabilities into enterprise applications. 


Primary Responsibilities:
<ul>
<li>AI/ML Development and Deployment:
<ul><li>Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services</li>
<li>Fine-tune and deploy LLMs for enterprise-grade applications</li>
<li>Design and build RAG pipelines leveraging Azure services and vector databases</li>
<li>Develop and orchestrate multi-agent LLM systems for complex workflows</li>
<li>Ensure robust model deployment, monitoring, and performance optimization in production environments</li>
</ul></li><li>Azure Platform Engineering:
<ul><li>Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing</li>
<li>Integrate AI models with Azure-based data pipelines and APIs</li>
<li>Use Azure DevOps for CI/CD of ML workflows and model versioning</li>
<li>Apply MLOps best practices for model governance, monitoring, and retraining</li>
<li>Ensure compliance with data governance, privacy, and security standards in cloud environments</li>
</ul></li><li>Data Engineering and Processing:
<ul><li>Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark</li>
<li>Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference</li>
</ul></li><li>Collaboration and Innovation:
<ul><li>Collaborate with data scientists, product managers, and engineers to deliver AI-driven features</li>
<li>Stay current with advancements in generative AI, LLMs, and Azure AI services</li>
<li>Contribute to the continuous improvement of AI/ML pipelines and best practices</li>
</ul></li><li>Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li>
</ul>
Required Qualifications:
<ul>
<li>Experience:
<ul><li>5+ years of hands-on experience in AI/ML engineering with a focus on Azure</li>
<li>Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning</li>
<li>Experience working with LLMs, RAG systems, and AI agents</li>
</ul></li><li>Technical Skills:
<ul><li>Experience with Databricks, Apache Spark, and Azure Data services</li>
<li>Familiarity with MCP, Langchain, vector databases and embedding models</li>
<li>Knowledge of Azure DevOps and CI/CD for ML workflows</li>
<li>Proficiency in Python, SQL, LLMs and PySpark</li>
</ul></li><li>Soft Skills:
<ul><li>Proven solid analytical and problem-solving skills</li>
<li>Proven effective communication and collaboration with cross-functional teams</li>
<li>Demonstrated ability to translate business requirements into technical solutions</li></ul></li> 
</ul>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone&ndash;of every race, gender, sexuality, age, location and income&ndash;deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes &mdash; an enterprise priority reflected in our mission.</div>

AI ML Engineer

True ValueHub, Inc.

<div>
 
 
 TrueValue Hub
 
 is an AI native B2B SaaS solution for direct material sourcing for manufacturing companies. We help manufacturing companies save cost on their direct material procurement, reduce sourcing cycle time, and new product introduction time to market. We provide detailed cost insights of custom design parts for buyers and suppliers, a secure collaboration platform, and a marketplace to collaborate on cost. We have a working product and are currently piloting the product with a few select large enterprise clients.
 
 
 
 
 
 We seek experienced
 
 AI/ML Engineers
 
 with expertise in developing AI/ML solutions to join our engineering team. We are looking for a candidate who is passionate about artificial intelligence, machine learning, and computational statistics. This role involves designing and implementing algorithms and models.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning Model Development:
 
 
 <ul>
 <li>
 Write clean, efficient, and maintainable code in Python.
 </li>
 <li>
 Develop, and deploy machine learning models that address real-world business challenges.
 </li>
 <li>
 This includes data preprocessing, feature engineering, model selection, and hyperparameter tuning.
 </li>
 <li>
 Collaborate with senior data scientists and developers to integrate machine learning algorithms into applications, train and test ML models, and manage the required datasets.
 </li>
 </ul>
 
 
 
 
 
 Data Pipelines:
 
 
 <ul>
 <li>
 Create and maintain data pipelines for efficient data processing and model training.
 </li>
 <li>
 Write database queries using SQL to retrieve required data.
 </li>
 </ul>
 
 
 
 
 
 Model Evaluation:
 
 
 <ul>
 <li>
 Assist in debugging, testing, and improving applications.
 </li>
 <li>
 Rigorous testing and validation procedures to assess model performance
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Minimum of 3+ years of experience in AI/ML developing advanced solutions.
 </li>
 <li>
 Bachelor&rsquo;s degree in engineering or a related field. Master's degree is a plus.
 </li>
 <li>
 Proficiency in programming languages like Python, R, C++, or similar,
 </li>
 <li>
 Proficiency in using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong understanding of statistical analysis and data preprocessing techniques.
 </li>
 <li>
 Solid knowledge of deep learning, natural language processing, and computer vision.
 </li>
 <li>
 Experience in manufacturing and supply chain a plus.
 </li>
 <li>
 Excellent analytical and problem-solving skills with the ability to interpret complex cost data and identify cost drivers.
 </li>
 <li>
 Good communication and interpersonal skills, with the ability to present cost analysis findings and recommendations to stakeholders.
 </li>
 <li>
 Strong attention to detail, organization, and time management skills
 </li>
 </ul>
</div>

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