1524 Mlops Jobs - Page 6

We are seeking a highly skilled and innovative Gen AI Engineer with 412 years of experience in designing, developing, and deploying advanced Generative AI solutions The role requires deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and frameworks like LangChain and Llama The candidate should have strong hands-on experience in building and fine-tuning AI/ML models using TensorFlow, PyTorch, and Keras, along with proficiency in Python for model development and API integration Responsibilities include developing AI pipelines for data ingestion, training, and deployment, implementing Prompt Engineering techniques, integrating Vector Databases for contextual r...

Design, develop, and deploy ML and GenAI models (LLMs, transformers, diffusion models, embeddings, etc.) for real-world applications. - Fine-tune and optimize pre-trained foundation models using techniques such as LoRA, prompt engineering, RAG.

Job Title: AI Data Engineering Lead We're looking for an exceptional AI & Data Engineering Lead to join our India team and accelerate the next generation of intelligent automation across our platform. This is a senior leadership role critical to our growth trajectory and evolution as a company. You'll architect and implement AI/ML solutions that process millions of transactions, detect anomalies, and extract actionable insights from the massive volumes of invoices, claims, receipts, and assets flowing through our system. This work directly impacts our ability to serve clients better, move faster, and build the sustainable competitive advantages we need in this next chapter. What Youll Do Lea...

4+ years of experience with at least 2+ years of relevant DS experience. Proficient in a structured Python (preferred) Follows good software engineering practices and has an interest in building reliable and robust software. Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem. Conducting quantitative analyses and interpreting results. Working knowledge of Linux or Unix environments ideally in a cloud environment. Working knowledge of Spark/PySpark is desirable. Excellent written and verbal communication skills.

Experience: 5+ years of experience in platform engineering, DevOps, or systems engineering, with a strong focus on machine learning and AI workloads. Proven experience working with LLM workflows, and GPU-based machine learning infrastructure. Hands-on experience in managing distributed computing systems, training large-scale models, and deploying AI systems in cloud environments. Strong knowledge of GPU architectures (e.g., NVIDIA A100, V100, etc.), multi-GPU systems, and optimization techniques for AI workloads. Technical Skills: Proficiency in Linux systems and command-line tools. Strong scripting skills (Python, Bash, or similar). Expertise in containerization and orchestration technologi...

You should have at least 15 years of total experience in delivering complex technical programs, specifically focusing on data platforms and analytics. Your responsibilities will include leading the end-to-end planning and execution of large-scale data programs, particularly data platform migrations. You will drive architecture and implementation discussions with technical leads to ensure the delivery of scalable, reliable, and cost-effective solutions. Additionally, you will be responsible for owning program-level reporting and communications for stakeholders and executive leadership, where you will present progress, risks, and outcomes. Having a background or knowledge in machine learning p...

As an AI Infrastructure Engineer (DevOps/MLOps) at Techvantage.ai, you will play a crucial role in building and managing the cloud infrastructure, deployment pipelines, and machine learning operations for our AI-powered products. Your work will involve ensuring scalability, reliability, and production readiness of our models and systems by working at the intersection of software engineering, ML, and cloud architecture. Key Responsibilities: - Designing and managing CI/CD pipelines for both software applications and machine learning workflows. - Deploying and monitoring ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. - Automating the provisioning and configu...

You will be responsible for leading the research, design, and development of advanced computer vision models for tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will need to translate business requirements into scalable scientific solutions by utilizing cutting-edge deep learning and classical computer vision techniques. Additionally, you will design and conduct experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings. Collaborating with cross-functional teams, including software engineering, product, and data teams, to integrate vision models into applications is also a ke...

Role Overview: As an AI Developer at our company, you will play a crucial role in driving innovation in artificial intelligence and machine learning. Your responsibilities will include developing, deploying, and optimizing AI models for various applications. You will collaborate closely with data scientists, engineers, and business teams to ensure successful implementation of AI solutions. Key Responsibilities: - Proficiency in Python with experience in TensorFlow, PyTorch, and Scikit-learn, or other AI/ML frameworks. - Experience in NLP, Computer Vision, or Reinforcement Learning is preferred. - Strong background in data preprocessing, feature engineering, and model tuning. - Knowledge of c...

Role Overview: Join us as a Lead Engineer and support the technical delivery of a software engineering team. You will be responsible for developing solution design options, explaining pros and cons to key stakeholders for decision-making, and overseeing work quality to meet technical standards. This role offers an opportunity to hone your technical skills and advance your career at the associate vice president level. Key Responsibilities: - Support a team of developers and set technical direction for deliveries - Apply software engineering principles and methodologies to design, develop, test, and maintain applications and services - Monitor technical progress, safeguard functionality, scala...

You will play a crucial role in leading the design efforts and formulating implementation strategies for AI solutions within the CPG integrated Marketing department. Your responsibilities will involve: - Leading the development and deployment of AI-enhanced BI solutions across various cloud platforms. - Building and optimizing data pipelines, models, and dashboards to derive real-time insights. - Collaborating with architects and stakeholders to ensure alignment with business objectives. - Implementing MLOps practices to facilitate continuous integration and delivery of ML models. - Ensuring adherence to data governance, privacy, and security standards. - Mentoring junior developers to foste...

As the AI and Data Science Manager at onsemi, you will lead a diverse team of data scientists, machine learning engineers, and AI specialists. Your role involves developing and implementing scalable AI/ML solutions that drive business value. You will need to combine strategic thinking with hands-on technical expertise to address business challenges effectively. Key Responsibilities: - Lead the design, development, and implementation of GenAI models & agents, overseeing the end-to-end lifecycle of AI/ML projects. - Develop timelines, milestones, and metrics for effective project planning and execution. - Ensure the scalability, reliability, and performance of AI models and analytics platforms...

Role Overview: At Stylumia, we are re-imagining the future of retail with AI-native, multi-agent solutions. Partner with Stylumia to illuminate your future. This full-time hybrid role for a Data Science Intern at Stylumia, located in Bengaluru with the flexibility of working from home. As an intern, you will be responsible for conducting data analyses, developing predictive models, generating insights, and supporting decision-making processes in the retail industry. Your day-to-day tasks will include data collection, data cleaning, statistical analysis, and presenting findings to enhance retail strategies. Key Responsibilities: - Build and experiment with AI/GenAI agents for trend discovery,...

Experience: 4+ years of hands-on experience in deploying and monitoring machine learning models. Basic understanding of ML and data science/modeling aspects. Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc. Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance Continuous integration and continuous deployment (CI/CD) Proficiency in cloud platforms, especially Azure and/or AWS. Strong scripting skills (e.g., Python) for automation and tool development. Problem-Solving: o Strong problem-solving skills with a focus on fi...

Role & responsibilities Required Skills and Qualifications Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field 12 years of experience in software development or architecture with a significant focus on AI and machine learning Deep understanding of AIML concepts and techniques including supervised unsupervised and reinforcement learning as well as experience with various AI algorithms and models Handson experience with cloud computing platforms eg AWS Azure GCP with a strong preference for experience with Google Cloud Platform GCP and its AIrelated services Proven experience in designing and implementing scalable and robust AI solutions within the Health...

Role: MLOPS Engineer Location: Kolkata & Bhubaneswar / In-Person Interview (F2F) Fulltime Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities: Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturit...

Role Overview : We are looking for a dynamic and execution-driven AI Head to lead our Data Science and AI initiatives, with a strong focus on Generative AI. This is a leadership role with direct visibility to CXOs and MD and a chance to shape the AI charter of a rapidly evolving financial institution. Key Responsibilities: Lead AI Strategy: Define and drive the AI & GenAI roadmap aligned with business goals. Ability to find hidden usecases of GenAI to improve productivity and reduce risks. Build GenAI Capabilities: Develop use cases across customer engagement, automation, credit, fraud detection, personalization, and internal efficiency. Team Leadership: Build and mentor a high-performing te...

Key Responsibilities: Coding: Write clean, efficient, and well-documented Python code adhering to OOP principles (encapsulation, inheritance, polymorphism, abstraction). Experience with Python and related libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). They are responsible for the entire ML pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment End-to-End ML Application Development: Design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant. Software Design & Architecture: Apply strong software engineering principles to design and build clea...

As a Generative AI Architect at Techvantage.ai, you will play a crucial role in designing and building intelligent systems that leverage cutting-edge Generative AI technologies to reshape the future across industries. With over 10 years of experience in technology roles and at least 3 years of expertise in Generative AI solutions, you will lead the development and deployment of AI platforms integrating large language models, multimodal AI, and other advanced GenAI capabilities into real-world applications. Key Responsibilities: - Architect and lead end-to-end solutions using LLMs, diffusion models, transformers, and multimodal AI in enterprise and consumer scenarios. - Design robust and scal...

Role: Full Stack Developer in MLOps Location: Pune/Nagpur Must have Python/Typescript/Azure/Kubernetes/ Front-end experience (React) Nice to have MLOps and .NET C# Experience – 6 to 8 years Start Date – ASAP We have an immediate and strategic requirement for a Full Stack Developer/Engineer in MLOps to join the CBT Platform Development team. This role is critical in laying the foundation for a larger squad planned for 2026. The client is keen to partner with a vendor capable of providing the right-fit candidate for this current need, which will influence future squad expansion decisions. Interview Approach: Strong problem-solving skills Approach to solving problems Hands-on coding skills Use ...

Job Summary: We are seeking talented Data Engineers with strong experience in AWS cloud platforms and big data technologies. The ideal candidates will have hands-on expertise in developing scalable data warehouse solutions, ETL/ELT pipelines, and working with both structured and semi-structured data. Additionally, familiarity with MLOps and Kubeflow will be a plus. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Proven experience working with AWS cloud platform, leveraging a broad range of services. Strong background in big data and data warehouse platform development. Proficient in designing and implementing ET...

Role & responsibilities ML ENGINEER - Production MLOps & Model Deployment Preferred candidate profile ML ENGINEER - Production MLOps & Model Deployment Position Title: ML Engineer - Vertex AI Pipeline Specialist Position Summary: The ML Engineer will operationalize Clients predictive models through robust MLOps pipelines on GCP Vertex AI. This role focuses on model deployment, monitoring, and CI/CD integration to ensure scalable, reliable analytics solutions for lead scoring, pricing optimization, and retention modeling within Client’s semi-Agile delivery framework. Core Responsibilities: Build end-to-end MLOps pipelines using Vertex AI Pipelines and Feature Store Implement model versioning,...

Design and develop end-to-end features across the React front-end and Java/Spring Boot or Node.js back-end microservices. Required Candidate profile 8-12 years of full-stack software development experience in enterprise-scale distributed systems. Strong back-end expertise in Java (Spring Boot) or Node.js/Express

Key Responsibilities Develop, deploy, and maintain ML services using Langserve for efficient model serving. Monitor model performance and manage observability using Langfuse . Containerize applications and services using Docker for consistent development and production environments. Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed). Write and maintain Groovy scripts for automation and CI/CD pipelines. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery. Optimize infrastructure cost, reliability, and scalability for ML workflows. Implement monitoring, alerting, and logging best practices. Required...

Role Overview: As a Manager at PwC, you will be responsible for leading and managing AI and data science projects from design to deployment. Your main focus will be on ensuring high-quality and scalable delivery, translating complex business problems into AI-driven solutions, and architecting AI pipelines and data workflows. You will guide project teams on data engineering, model development, validation, and operationalization. Additionally, you will communicate technical solutions effectively to business stakeholders, foster strong client relationships, and align AI solutions with business goals. Mentoring junior team members and promoting a culture of innovation, learning, and collaboratio...