ai/ml developer

iVueit

<div><h2 class="jobSectionHeader"><b>AI/ML Developer &mdash; iVueit</b></h2><p><b>
Location:</b> Hybrid (US-based preferred)<br>
<b>Team:</b> Engineering<br>
<b>Role Type:</b> Full-Time</p><p>
iVueit is transforming the way property insights are captured and delivered through a nationwide crowdsourced network. We&rsquo;re now building intelligent automation and AI-driven capabilities into our platform &mdash; and we&rsquo;re looking for an AI/ML Developer who can help turn data, media, and workflows into smart, scalable systems.</p><p>
In this role, you&rsquo;ll work at the intersection of AI, automation, and engineering, building real-world solutions using large language models, multimodal AI, and workflow automation. You&rsquo;ll collaborate closely with product, engineering, and operations to build tools that make our platform faster, smarter, and more intuitive for our users.<br>
<br>
<b>Please note: We are unable to sponsor visas for this position. Applicants must have a Green Card or U.S. citizenship to be considered.</b></p><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li>
Integrate <b>LLM APIs</b> (OpenAI, Anthropic, Google Gemini, Perplexity, etc.) into internal and customer-facing applications.</li><li>
Build end-to-end <b>multimodal AI solutions</b> that process and understand text, images, audio, and video.</li><li>
Develop and maintain automated workflows using platforms such as <b>n8n, Make</b>, or custom-built orchestration tools.</li><li>
Design and implement <b>RAG pipelines</b> to connect AI systems to internal datasets and knowledge bases.</li><li>
Work with <b>speech-to-text, text-to-speech, and media generation</b> models to enhance user experiences.</li><li>
Craft, test, and refine prompts and agent-style instructions for a wide range of AI tasks.</li><li>
Build and maintain <b>data pipelines</b>, vector databases, embeddings, and supporting infrastructure.</li><li>
Partner with cross-functional teams to identify pain points and create AI-powered automations that improve efficiency and reduce operational costs.</li></ul><p></p><h3 class="jobSectionHeader"><b>
What You Bring</b></h3><ul><li>
Solid coding fundamentals in <b>Python or JavaScript</b>.</li><li>
Experience integrating APIs (REST, JSON, webhooks, HTTP).</li><li>
Strong &ldquo;workflow mindset&rdquo; &mdash; the ability to break down processes into steps and automate them.</li><li>
Comfort working with structured and unstructured data (JSON, CSV, basic DB operations).</li><li>
A genuine curiosity about AI and proven desire to experiment with emerging tools.</li><li>
Resourcefulness, independence, and a problem-solving approach.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Nice-to-Haves</b></h3><ul><li>
Personal or side projects where you&rsquo;ve combined multiple AI tools or built automations.</li><li>
Experience coding in <b>GoLang</b> or <b>Dart</b> (bonus for Flutter familiarity).</li><li>
Automation of your own workflows or productivity systems.</li><li>
A history of sharing work publicly &mdash; GitHub repos, blog posts, demos, or social content.</li><li>
Participation in AI hackathons, meetups, or online AI communities.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why Join iVueit?</b></h3><ul><li>
Work directly with leadership on high-impact AI initiatives.</li><li>
Build production systems used by nationwide field users and enterprise clients.</li><li>
Opportunity to shape the future of property insights through modern AI capabilities.</li><li>
Experiment freely &mdash; we value creativity, curiosity, and rapid iteration.</li></ul><p></p><p>
If you're excited about building intelligent systems, love experimenting with new AI tools, and want to help scale a fast-moving platform, we&rsquo;d love to talk.</p><br>
<p>
</p><p>GLDBR16ulJ</p></div>

AI/ML Developer

MKS Instruments

<div><p><b>A Day in Your Life at MKS:</b><br>
As an AI/ML Developer at MKS Instruments, you will partner with the IT Team MKS to develop, deploy, and optimize AI-driven solutions using advanced AI/ML models. In this role, you will report to the AI Manager.</p><p></p><p><b>
Note : The successful candidate will receive the $250 StartSmart Incentive post-joining.</b></p><div><b><br>
Make an Impact By:</b><br>
<ul><li>Developing and deploying web applications and scalable serverless functions on Azure Cloud.</li><li>Designing and implementing solutions leveraging Azure Open AI Studio and Azure AI Services, including the Chat Playground.</li><li>Selecting appropriate large language models (LLMs) based on specific problem descriptions and requirements.</li><li>Engineering accurate prompts and optimizing prompt engineering processes to ensure the reliability and efficiency of AI models.</li><li>Building and optimizing machine learning models for Natural Language Processing (NLP) tasks.</li><li>Collaborating with cross-functional teams to implement and integrate AI-driven solutions into products and services.</li><li>Travel Requirements: Need basis.</li></ul></div><div><b><br>
Skills You Bring:</b><br>
<ul><li>Education: Master's or bachelor&rsquo;s in computer application or related field (or equivalent experience).</li><li>Years of job-related work experience: 3-5 years of experience in AI/ML development, with proficiency in machine learning and natural language processing.</li><li>Required Experience or Technical Skills:</li></ul></div><p>
o Expertise in Python and development of Stream Lit web applications.<br>
o Strong experience with Azure Open AI Studio and Azure AI Services.<br>
o Proficient in selecting and integrating large language models (LLMs) based on problem requirements.<br>
o Solid experience in Prompt Engineering and optimizing model outputs.<br>
o Proven track record of developing and deploying web apps and serverless functions on Azure Cloud.<br>
o Robust experience with Visual Studio Code, Python, and Azure DevOps for development and continuous integration.<br>
o Knowledge of LLM, NLP, and other structured and Time Series based Data Analysis and Predictive models.</p><p><b><br>
Preferred Skills: (Optional)</b></p><ul><li>Experience in building and maintaining AI-based solutions in a cloud-native environment.</li><li>Familiarity with deploying AI models using containers and Azure Kubernetes Service (AKS).</li><li>Knowledge of Generative AI and applying it in AI enabled applications.</li><li>Good to have knowledge of Hugging Face Platform.</li></ul><p>
Supervisory Scope: (Optional)<br>
Reporting Relationships: Reports to the AI &amp; Data Science Manager</p><p><br>
#LI-MK1</p><p></p><p><br>
Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to various export control regulations. Applicants for these positions may be limited (by, for example, their countries of citizenship, country of origin, or immigration status) where required by law or governmental contact, and/or employment made contingent upon the issuance of appropriate governmental licensing.</p><p></p><p>
MKS Inc. and its affiliates and subsidiaries (&ldquo;MKS&rdquo;) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.</p><p></p><p>
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .</p><p>
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role</p></div>

Codash Solutions

<p>MLE Bench &ndash; ML Engineers</p><p>Role MLE Bench &ndash; ML Engineers</p><p>YoE 3+ years</p><p>Full-Time Contract (6 Months)</p><p>Start Date Not Confirmed. Bench role<br/>Budget - 550/hr</p><p>Vetting Online assessment -</p><p>https://developers.turing.com/vetsmith-subscribe/F1872-NU1NJ0PUH</p><p>Skill ● Minimum 3+ years of overall experience in Machine Learning</p><p>Engineer or Software Engineer (ML-focused).</p><p>● Strong proficiency in Python for machine learning and data workflows.</p><p>● Hands-on experience with model training, evaluation, and inference</p><p>pipelines.</p><p>● Solid understanding of machine learning fundamentals</p><p>(supervised/unsupervised learning, evaluation metrics, optimization).</p><p>Availability Full Time Availability (8 Hrs) and 4 hours overlap with PST time zone</p><p>About Turing</p><p>Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier</p><p>AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing</p><p>supports customers in two ways: first, by accelerating frontier research with high-quality data,</p><p>advanced training pipelines, plus top AI researchers who specialize in coding, reasoning,</p><p>STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help</p><p>enterprises transform AI from proof of concept into proprietary intelligence with systems that</p><p>perform reliably, deliver measurable impact, and drive lasting results on the P&amp;amp;L</p><p>Role Overview</p><p>We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to</p><p>benchmark-driven evaluation projects focused on real-world machine learning systems. This</p><p>role involves hands-on work with production-grade ML codebases, model training and</p><p>evaluation pipelines, and deployment-oriented workflows to help assess and improve the</p><p>capabilities of advanced AI systems.</p><p>The ideal candidate is comfortable bridging research and engineering, working deeply with</p><p>models, data, and infrastructure in realistic ML environments.</p><p>What does day-to-day life look like?</p><p>● Work with real-world ML codebases to support MLE Bench&ndash;style evaluation tasks.</p><p>● Build, run, and modify model training, evaluation, and inference pipelines.</p><p>● Prepare datasets, features, and metrics for ML benchmarking and validation.</p><p>● Debug, refactor, and improve production-like ML systems for correctness and</p><p>performance.</p><p>● Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.</p><p>● Write clean, reproducible, and well-documented Python code for ML workflows.</p><p>● Participate in code reviews to ensure high standards of engineering quality.</p><p>● Collaborate with researchers and engineers to design challenging, real-world ML</p><p>engineering tasks for AI system evaluation.</p><p>Requirements</p><p>● Minimum 3+ years of overall experience as a Machine Learning Engineer or Software</p><p>Engineer (ML-focused).</p><p>● Strong proficiency in Python for machine learning and data workflows.</p><p>● Hands-on experience with model training, evaluation, and inference pipelines.</p><p>● Solid understanding of machine learning fundamentals (supervised/unsupervised</p><p>learning, evaluation metrics, optimization).</p><p>● Experience working with ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).</p><p>● Ability to understand, navigate, and modify complex, real-world ML codebases.</p><p>● Experience writing readable, reusable, and maintainable production-quality code.</p><p>● Strong problem-solving and debugging skills.</p><p>● Excellent spoken and written English communication skills.</p><p>Perks of Freelancing With Turing</p><p>● Work in a fully remote environment.</p><p>● Opportunity to work on cutting-edge AI projects with leading LLM companies.</p><p>Offer Details</p><p>● Commitments Required: At least 4 hours per day and minimum 20 hours per week</p><p>with overlap of 4 hours with PST.</p><p>● Engagement Type: Contractor assignment (no medical/paid leave)</p><p>● Duration of Contract: 3 months (adjustable based on engagement)</p><p>● Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil,</p><p>Mexico</p><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: ₹500.00 - ₹550.00 per hour</p><p>Expected hours: No more than 40 per week</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: Remote</p>

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>About the Role</b></h2>
</div><div><div>We&rsquo;re looking for an AI/ML Developer to join our Group Technology team and contribute to end‑to‑end model development, data processing, experimentation, and cloud‑based deployment. This role is ideal for someone passionate about building scalable ML solutions and working across modern engineering, cloud, and MLOps environments</div></div></div><div><div><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2>
</div><div><ul><li>Build, train, and evaluate ML models (classification, regression, NLP)</li><li>
Work on data cleaning, preprocessing, feature engineering, and experiment tracking.</li><li>
Support testing, deployment, and documentation of AI/ML solutions in cloud environments (OCI/AWS/Azure/GCP).</li><li>
Collaborate with cross‑functional teams in VCI on front‑end development, architecture, security, and cloud services.</li><li>
Contribute to building reproducible ML workflows, versioning, and CI/CD pipelines.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h2>
</div><div><div><h3 class="jobSectionHeader"><b>Must‑Have Skills</b></h3><ul><li>
3+ years of experience in software or cloud product development.</li><li>
Hands‑on ML development experience (modeling, experimentation).</li><li>
Strong proficiency in <b>Python</b>, <b>NumPy</b>, <b>Pandas</b>, <b>scikit‑learn</b>.</li><li>
Exposure to <b>TensorFlow</b> or <b>PyTorch</b>.</li><li>
Experience working with databases (PostgreSQL/MySQL).</li><li>
Understanding of <b>MLOps</b>, deployment pipelines, monitoring, versioning.</li><li>
Ability to write technical documentation (HLD/LLD, model cards, logs).</li></ul><h3 class="jobSectionHeader"><b>
Good‑to‑Have</b></h3><ul><li>
Knowledge of DevOps &amp; IaC tools (Terraform/Ansible).</li><li>
Containerization (Docker) and basic Kubernetes experience.</li><li>
Familiarity with event‑driven and cloud‑native architectures.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2>
</div><div><ul><li>Work on high‑impact AI initiatives that directly support Vodafone&rsquo;s global products.</li><li>
Exposure to modern cloud platforms &amp; scalable ML engineering.</li><li>
Collaborative environment with architecture, IT security, and product delivery teams</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Educational Qualification</b></h2>
</div><div><div>Bachelor&rsquo;s degree in Computer Science or a related field</div></div></div><div><div><h2 class="jobSectionHeader"><b>
About VOIS</b></h2>
</div><div><p>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.<br>
Over 29,000 highly skilled individuals are dedicated to being Vodafone Group&rsquo;s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.<br>
Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.<br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About Vodafone</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

Deputy Manager_AI/ML Developer_Pune

Force Cloud LLC

<p>We are looking for a <b>Senior AI/ML Engineer</b> to join our growing AI services company as a core technical leader. In this role, you will design, build, and deploy production-ready AI/ML solutions across <b>computer vision, NLP, and generative AI</b>, while mentoring engineers and helping scale the team.</p><p>What You&rsquo;ll Do</p><ul><li>Design and develop end-to-end AI/ML solutions, from data preparation to deployment, across domains such as vision, NLP, GenAI, and predictive systems.</li><li>Build scalable ML pipelines, define best practices, and establish engineering standards.</li><li>Lead technical decision-making, including model selection, code reviews, and debugging complex issues.</li><li>Mentor and guide junior engineers, promoting a strong culture of learning and innovation.</li><li>Collaborate with clients and cross-functional teams to deliver accurate, scalable, and reliable AI solutions.</li><li>Stay up to date with emerging AI/ML trends and technologies to keep solutions future-ready.</li></ul><p>What You Bring</p><ul><li>3+ years of hands-on experience building and deploying machine learning models in production environments.</li><li>Strong expertise in:</li><li><b>Computer Vision:</b> CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, object detection and segmentation.</li><li><b>NLP:</b> Transformer models (BERT, T5, GPT), embeddings, tokenization, HuggingFace, spaCy/NLTK.</li><li><b>Generative AI:</b> LLM orchestration (LangChain), RAG pipelines, chatbots, prompt engineering, vector databases (FAISS, Pinecone).</li><li>Strong ML fundamentals, including classical algorithms, feature engineering, and model evaluation using Python, Scikit-learn, XGBoost, or LightGBM.</li><li>Excellent communication, problem-solving, and mentorship skills with experience leading teams technically.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI / ML Developer and Engineer

LN Technologies

<p>We are looking for a <b>AI/ML Engineer</b> who is passionate about Artificial Intelligence and eager to work on real-world AI systems including <b>Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Time-Series models</b>.</p><p>This role is ideal for someone with strong fundamentals in ML and Python who wants to grow into a production AI engineer.</p><p>You will work under senior engineers to build, test, and deploy AI models in real-world applications.</p><p><b>Key Responsibilities</b></p><p>Machine Learning Development</p><ul><li>Assist in building and training ML/DL models</li><li>Perform data preprocessing and feature engineering</li><li>Train and evaluate models using Python libraries</li><li>Run experiments and document results</li></ul><p>Computer Vision (Basic to Intermediate)</p><ul><li>Work with image datasets (classification, detection, segmentation)</li><li>Assist in implementing:</li><li>YOLO models</li><li>CNN-based classifiers</li><li>Image embedding models</li><li>Use OpenCV for image processing</li></ul><p>NLP &amp; Generative AI (Foundational Level)</p><ul><li>Work with transformer models (BERT, GPT, etc.)</li><li>Build basic:</li><li>Text classification</li><li>Summarization</li><li>Chatbot pipelines</li><li>Assist in implementing:</li><li>RAG systems</li><li>Embedding-based search</li><li>Prompt engineering experiments</li></ul><p>Time Series &amp; Predictive Modeling</p><ul><li>Build simple forecasting models</li><li>Work with:</li><li>ARIMA</li><li>Prophet</li><li>LSTM (basic understanding)</li><li>Analyze trends and detect anomalies</li></ul><p>Deployment &amp; MLOps (Basic Level)</p><ul><li>Build simple APIs using FastAPI or Flask</li><li>Assist in Dockerizing ML models</li><li>Understand basic cloud deployment concepts</li><li>Learn about model monitoring and logging</li></ul><p>Required Skills (Must Have)Technical</p><ul><li>Strong Python programming</li><li>Good understanding of:</li><li>Machine Learning fundamentals</li><li>Supervised vs Unsupervised learning</li><li>Overfitting/Underfitting</li><li>Model evaluation metrics</li><li>Experience with:</li><li>PyTorch or TensorFlow (at least one)</li><li>Scikit-learn</li><li>Pandas, NumPy</li><li>Basic understanding of Deep Learning concepts</li><li>Familiarity with Git</li></ul><p>Computer Vision</p><ul><li>Understanding of CNNs</li><li>Worked on at least one image-based project</li></ul><p>NLP</p><ul><li>Basic understanding of transformers</li><li>Experience using HuggingFace (preferred)</li></ul><p>Soft Skills</p><ul><li>Strong problem-solving mindset</li><li>Willingness to learn</li><li>Ability to read documentation and research papers</li><li>Good communication skills</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field</li></ul><p>Experience:</p><ul><li>2 to 3 years</li></ul><p>What Candidate Should Demonstrate</p><ul><li>GitHub with ML/DL projects</li><li>Kaggle participation (optional but good)</li><li>At least 2&ndash;3 real ML projects:</li><li>Image classification</li><li>NLP project</li><li>Predictive modeling project</li></ul><p>Bonus Points (Nice to Have)</p><p>These are NOT mandatory but will strongly increase selection chances:</p><ul><li>Experience with:</li><li>YOLO (v5/v8)</li><li>Vision Transformers (ViT, DINOv2)</li><li>CLIP embeddings</li><li>Worked on:</li><li>RAG pipelines</li><li>Vector databases (FAISS, Pinecone)</li><li>Fine-tuned an LLM (LoRA / QLoRA)</li><li>Built and deployed a model using FastAPI</li><li>Used Docker</li><li>Experience with Azure / AWS</li><li>Experience handling large datasets</li><li>Knowledge of SQL</li><li>Basic understanding of distributed training</li><li>Open-source contributions</li><li>Strong math background (linear algebra, probability)</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have experience with time-series forecasting models like ARIMA, Prophet, or LSTM?</li><li>Please share your current package. </li><li>Please share your expected package. </li><li>How soon can you join?</li><li>Do you have at least 2&ndash;3 years of experience working with Machine Learning models using Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn)?</li><li>Have you worked on at least one image-based project involving Convolutional Neural Networks (CNNs) or image classification?</li><li>Are you familiar with transformer models (e.g., BERT, GPT) and have experience using libraries like HuggingFace for NLP tasks? </li><li>Have you built and deployed an ML model using FastAPI or Flask, including Dockerizing the model? </li></ul><p>Work Location: In person</p>

Senior AI/ML Developer (Morning Shift)

Realign

<div>Tampa, Florida 33592 Posted March 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role </b>- Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI)<br>
<b>Location - </b>Tampa, FL and Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></p><p></p><p><b><br>
Job Description:</b></p><ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Python Developer– Generative AI & Cloud (Agentic AI)-5

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AI/ML Developer

AI/ML Developer

AI/ML Developer

Deputy Manager_AI/ML Developer_Pune

AI / ML Developer and Engineer

Senior AI/ML Developer (Morning Shift)

Python Developer– Generative AI & Cloud (Agentic AI)-5