18 Mlops Jobs

Hi, We are hiring for ML Developer. Please find the attached JD. Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary Preferred candidate profile Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field...

Skill Mandatory Proficiency Level (1-5) MLOps Frameworks & Tools (MLflow, Kubeflow, Databricks, SageMaker, Vertex AI, Azure ML) YES 5 CI/CD for ML Pipelines (GitHub Actions, Jenkins, Argo Workflows) YES 4 End to end MLOPs Lifecycle YES 4 Containerization & Orchestration (Docker, Kubernetes, and Helm) YES 4 Infrastructure as Code (IaC) (Terraform, CloudFormation) YES 3 Cloud Platforms & Cost Optimization YES 4 DataOps (Apache Airflow, Dagster, dbt ) YES 4

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Python (Programming Language) Good to have skills : CommerceTools Commerce Platform Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Define and govern the enterprise GenAI architecture across products and platforms. Own reference architectures, standards, and roadmaps ensure solutions meet performance, capability, scalability, security, and compliance needs. Roles & Responsibilities: - Create refe...

We Need ML Engineer and AI Engineer Should have min 4 to 5 years of experience Location - Mohali Panjab Salary - 18 lpa for best candidates Call for more details Telephonic first

As a Senior Data Scientist GenAI, you will be responsible for leading the design, development, and deployment of advanced AI and Generative AI solutions. Your role will involve deep hands-on expertise across the entire AI lifecycle, from data engineering and model development to production deployment and team leadership. Key Responsibilities: - Lead end-to-end GenAI solution development from data preprocessing to production deployment - Design and implement LLM, VLM, RAG, and Agentic AI systems - Build and optimize ML/DL models using modern and core techniques - Apply NLP, Transformers, and prompt engineering for enterprise use cases - Deploy scalable AI solutions using FastAPI/Flask with cl...

As an AI Systems Developer at our company, your role involves developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will be working on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your responsibilities include implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines. Additionally, you will be building AI solutions across various domains like NLP, computer vision, deep learning, and other AI applications. It is crucial to utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. Working with to...

Hiring: ML Engineer Experience :5 to 10 Years Location : Hyderabad We are looking for Machine Learning Engineers with hands-on experience in model development, training, evaluation, deployment, and MLOps . Key Skills: ML model development & evaluation Feature engineering Model training & optimization MLOps & deployment pipelines Python & ML frameworks Interested candidates, please share resumes roohija.m@tekskills.in #Hiring #MLEngineer #MachineLearningJobs #MLOps #AIJobs #TechHiring

As an AI Test Automation Architect, your role involves driving touchless automation using AI across all phases of STLC. This includes architecting AI-driven test automation frameworks for web, mobile, API, microservices, and enterprise applications. You will integrate AI-powered tools for self-healing scripts, intelligent test generation, and anomaly detection. Your key responsibilities will include: - Defining an end-to-end automation strategy covering functional, performance, security, and accessibility testing. - Implementing MLOps for testing, which involves model-based test prioritization, defect prediction, and risk-based testing. - Ensuring CI/CD integration with automated quality gat...

As a GenAI Developer, your role involves designing and developing GenAI applications using Python. You will be responsible for implementing front-end solutions utilizing Angular or React frameworks and applying NLP techniques to enhance application functionalities. Your tasks will also include optimizing machine learning models for performance and scalability, establishing MLOps practices, and creating APIs for seamless functionality between applications. Key Responsibilities: - Design and develop GenAI applications using Python. - Implement front-end solutions with Angular or React frameworks. - Apply NLP techniques to enhance application functionalities. - Optimize machine learning models ...

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

Role Overview: As a Data Platform Engineer at Gen, you will play a vital role in shaping the strategic direction and architecture of the data infrastructure. This high-visibility position involves co-owning the platform architecture, setting technical standards, and driving initiatives that directly impact the data strategy of the organization. Your contributions will be instrumental in leading the technical evolution from legacy infrastructure to a modern cloud-first platform. Key Responsibilities: - Co-own and evolve the overall data platform architecture across all domains - Guide the technical vision for the Data Engineering organization - Drive platform initiatives supporting the compan...

As a Senior Data Scientist at this company, your role will involve providing data science and quantitative analytical support for regulatory reporting, medical safety analysis, and safety surveillance. You will be responsible for building and scaling AI / ML and Generative AI capabilities to support case management, safety profiling, and management metrics. Additionally, you will independently manage small to medium-sized data science projects. Key Responsibilities: - Strong hands-on experience in Machine Learning, Deep Learning, NLP, Text Mining, Time Series, and Image Processing - Utilize Generative AI and LLMs (GPT, BERT, LLaMA, Claude, Mistral) for various tasks - Apply Agentic AI and LL...

Senior Manager, Digital Intelligence & Enablement (Global Procurement) What you will do We are seeking an individual who thrives in ambiguity, capable of driving digital procurement initiatives with precision and purpose. You will help us shape the next era of Procurement. As Senior Manager, Digital Intelligence & Enablement, youll lead the implementation of Generative AI and Agentic AI across the Global Procurement Organizationturning ideas into products that improve speed, cost, compliance, and supplier experience. Youll combine business understanding with data, analytics, and engineering know-how, guiding cross-functional teams and partners to deliver a practical, value-first AI roadmap. ...

As a Senior-level Gen AI / AI Engineer, you will be responsible for designing, developing, and deploying innovative AI solutions, focusing on generative AI and RAG architectures. You will play a crucial role in shaping the AI strategy and providing technical leadership. Your key responsibilities will include: - Providing technical guidance and thought leadership on generative AI technologies and their applications. - Mentoring and supporting junior engineers to promote skill development and adherence to best practices. - Collaborating with product leaders and stakeholders to shape AI-driven solutions aligned with business goals. - Developing and fine-tuning state-of-the-art generative AI mod...

As a candidate with a strong passion for Generative AI and Natural Language Processing (NLP), you have the opportunity to join a team that is working on cutting-edge AI solutions using state-of-the-art technologies such as transformers, text generation, and sentiment analysis. Your role will involve building and fine-tuning Generative AI models, specifically focusing on NLP tasks. This is a fantastic opportunity for you to grow alongside a team of experts, tackle real-world challenges, and contribute to advancing the field of AI. Key Responsibilities: - Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER...

As an AI Developer at our company, you will be responsible for developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will work on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your role will involve implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines to build AI solutions across various domains including NLP, computer vision, deep learning, and other AI applications. Additionally, you will utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. You will work with tools like Databricks, S...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

As a Senior AI/ML Engineer for Cybersecurity at NielsenIQ, you will play a crucial role in evolving the enterprise Identity and Access ecosystem by incorporating AI and machine learning to enhance security posture automation and user experience at scale. Your responsibilities will include designing, building, and operationalizing machine learning systems in complex distributed and cloud-based environments. **Role Overview:** In this role, you will lead the development of AI-driven identity access and security intelligence solutions, collaborating closely with Cybersecurity Engineering and AI teams. You will be tasked with designing ML architectures, constructing production-grade pipelines, d...