200 Ml Deployment Jobs

About the team and this role: As an AI/ML Engineer reporting to our Engineering Lead, you'll own our product's AI capabilities from conception to deployment . Working alongside product managers and designers, you'll tackle complex challenges, architect scalable solutions, and collaborate cross-functionally to create exceptional user experiences. You'll initially be our sole AI/ML Engineer, with plans to expand the team. Responsibilities: Own the end-to-end development and performance of our AI agents, ensuring accuracy tracking and continuous optimization. Build and maintain AI systems using both agent orchestration frameworks and fine-tuned models for specialized tasks. Manage AI integratio...

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a w...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Role & responsibilities A Machine Learning Engineer designs, builds, and deploys machine learning models and systems to solve real-world problems, bridging data science and software engineering . They focus on creating scalable, production-ready AI applications that automate predictions and insights from data . Key Responsibilities Design and develop ML systems, including selecting algorithms, preprocessing data, and building data pipelines for model training . Run experiments, perform statistical analysis, fine-tune models, and monitor performance to ensure accuracy and reliability in production . Collaborate with teams to define objectives, deploy models via APIs or services, and stay upda...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3-5 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Job Title : Machine learning Engineer Overview: A Machine Learning Engineer designs, builds, and deploys machine learning models and systems to solve real-world problems, bridging data science and software engineering . They focus on creating scalable, production-ready AI applications that automate predictions and insights from data . Key Responsibilities Design and develop ML systems, including selecting algorithms, preprocessing data, and building data pipelines for model training . Run experiments, perform statistical analysis, fine-tune models, and monitor performance to ensure accuracy and reliability in production . Collaborate with teams to define objectives, deploy models via APIs or...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3-5 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Job Title: Manager/ Senior Manager - Cloud Infrastructure & Operations Job Type: Regular Full-Time Reporting to : General Manager- IT Solutions & Infrastructure No. of Positions : 1 Department : IT Solutions & Infrastructure Location : Bangalore Role Overview: This role will be instrumental in ensuring our academic institutions IT infrastructure is secure, scalable, cost-effective, and aligned with our mission to support education and research excellence. The ideal candidate will bring deep technical expertise in cloud platforms, infrastructure automation, and CI/CD practices, with a growing focus on enabling AI/ML workloads in production environments. They will also possess strong skills in...

Role: build/validate predictive models, prep data & run EDA, enhance performance, deploy with teams, monitor models & document work. sadia.khan@predictiveresearchinc.com WhatsApp: +91-6386390621 Provident fund

Role Overview: Join the growing AI team at NewCold as an AI Associate (ML) and contribute to building real-world machine learning solutions that have a direct impact on business performance. This role offers an exciting opportunity to collaborate with experienced professionals, tackle live data problems, and advance your career in a dynamic and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for various applications in supply chain, logistics, finance, and operations. - Develop ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Engage in the full ML lifecycle, including data preparation, feature engi...

Must-Have Skills Linux administration, Docker, Kubernetes, cloud-native services, Terraform/Ansible, CI/CD, Python scripting, monitoring and alerting, and experience with secure, distributed deployments.

Enter a job title Machine Learning Engineer Whats the role? Hilti is investing massively into growing its software and service business and digitizing its customers’ processes. Our Business Unit Fastening & Protection Solutions (BU FPS) develops cutting edge end-to-end solutions for structural connections, MEP supports and fire protection. We see tremendous opportunities in leveraging data, ML and genAI to automate and optimize design and engineering tasks for our customers (value engineering). As a Machine Learning Engineer within the newly created Data & Analytics team of BU FPS, your primary responsibility will be to design, develop, and deploy machine learning models that support generat...

Responsibilities:(Only Female Candidates) * Collaborate with cross-functional teams on ML projects from ideation to deployment. * Develop AI systems using Python, ML/DL algorithms & TensorFlow/CNN. Health insurance Provident fund

MLOps Engineering Experience operationalizing & managing ML/AI workloads in production environments Distributed Tracing & Observability Strong understanding and hands-on implementation of metrics, logs, and traces (three pillars of observability) Monitoring & Alerting Production experience building Grafana dashboards and actionable alert systems; understands that dashboards without alerts lack operational value Azure Databricks Operations Cluster management, performance optimization, timeout resolution, library troubleshooting, and compute issue resolution Azure Cloud Services Deep knowledge of Azure PaaS, AKS, cloud-native architectures, and Azure monitoring/diagnostics ecosystem Good-to-Ha...

Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data en...

Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data en...

Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data en...

Role: Senior AI ML Developer/ Lead Exp:3+ Years Location: Noida/ Delhi NCR Job role and Responsibilities: Lead implementation of a cutting-edge AI & ML infrastructure , encompassing all facets from model inception to deployment, ensuring adherence to best practices and quality standards. Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies [Style Guidelines, checking code in, accuracy, testability, and efficiency] Contribute to existing documentation /educational content and adapt content based on product/program updates and user feedback. Experience with common data science r...

Role: Senior AI ML Developer/ Lead Exp:3+ Years Location: Noida/ Delhi NCR Job role and Responsibilities: Lead implementation of a cutting-edge AI & ML infrastructure , encompassing all facets from model inception to deployment, ensuring adherence to best practices and quality standards. Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies [Style Guidelines, checking code in, accuracy, testability, and efficiency] Contribute to existing documentation /educational content and adapt content based on product/program updates and user feedback. Experience with common data science r...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

We are seeking an experienced Generative AI Architect to design, build, and scale AI-driven solutions across enterprise environments. The ideal candidate will have strong expertise in LLMs, multimodal GenAI systems, and cloud-native architectures. You will work closely with data science, engineering, and product teams to translate business requirements into robust, secure, and production-ready AI systems. Key Responsibilities Architect end-to-end Generative AI solutions using LLMs, diffusion models, retrieval systems, and prompt engineering. Evaluate and fine-tune open-source and commercial LLMs (GPT, Llama, Claude, Mistral, etc.). Design RAG pipelines , vector databases, prompt orchestratio...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...