281 Kubeflow Jobs - Page 4

As a crucial member of the team, you will play a pivotal role in various machine learning initiatives, contributing to the development of conversational AI bots, RAG system, and traditional ML problem-solving for the observability platform. Your responsibilities will involve both operational and engineering tasks such as building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Within the LLM domain, you will be tasked with fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. This role offers you the opportunity to significantly impact AI-driven solutions in...

We are seeking an experienced and results-driven AI Developer to become a valuable part of our team. Your main responsibility will involve developing, deploying, and optimizing AI and machine learning models to address real-world business challenges. Collaborating with diverse teams, you will work towards delivering scalable and ethical AI solutions utilizing cutting-edge tools and technologies. You will be involved in various aspects of AI model development and implementation, including data engineering, preprocessing, and feature selection to enhance model inputs. Your role will also focus on designing, building, and validating machine learning and deep learning models such as Convolutiona...

Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's Best Places to Work Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, with the ability to implement them working with both the platform, and the product teams. The Platform Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members bear the heavy burden of turning both small, spa...

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology ...

As a Machine Learning Engineer, your primary responsibility will be to develop, train, and validate predictive and analytical models using machine learning techniques. You will collaborate closely with data engineers and business teams to define data requirements and success metrics. In addition, you will deploy machine learning models into production following ML Ops best practices and build automated pipelines for model training, testing, monitoring, and retraining. Your role will also involve optimizing model performance, ensuring scalability and reliability, monitoring model drift and performance degradation, and continuously improving the models. Furthermore, you will implement CI/CD pr...

You are a highly skilled and experienced Machine Learning Modeling Lead being sought to join the ML Model Innovation team in the banking domain, particularly in retail transactional and lending areas. Your main responsibility will be to lead the development and deployment of machine learning models that drive crucial business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. You are required to possess a strong understanding of banking business, data, and domain, covering the customer lifecycle as well as bureau/external data. Collaboration with cross-functional teams and providing technical leadership to o...

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this...

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model train...

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

About Position: We are conducting an in-person hiring drive for the position of Mlops Engineer in Pune & Bengaluru on 23rd August 2025. Interview Location is mentioned below: Pune - Persistent Systems, Aryabhata-Pingala, 9A/12, Kashibai Khilare Marg, Erandawana, Pune 411004. Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024. We are looking for an experienced and talented Mlops Developer to join our growing data competency team. The ideal candidate will have a strong background in working with ML model deployment pipelines (CI/CD for ML)You will work closely with our data analysts, engineers, and busi...

MaintWiz is building an AI-first CMMS, leveraging our rich maintenance, equipment, and operational datasets to deliver predictive, prescriptive, and automated intelligence. As a Machine Learning Engineer focused on CMMS data, you will design, build, and deploy ML models that directly improve asset reliability, reduce downtime, optimize spare parts inventory, and enhance maintenance decision-making. Technical Skills 1) Handson experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). 2) Experience with time-series forecasting, anomaly detection, and NLP. 3) Proficiency in Python and SQL; familiarity with Spark or distributed data processing. 4) Knowledge of MLOps tools (MLflow, Kubef...

Job Requirements Key Responsibilities Governance and harmonisation Define and establish best lean agile practices driving value addition , team efficiency, collaboration and visibility across teams and product Establish common tools and usage to drive the software and data release process across multiple teams from backlog management to value based prioritization to sprint execution to deployments to release closure and documentation generation. Drive scrum of scrum for overall SaaS and data platform. Agile Delivery Leadership Champion Scrum, Kanban, and SAFe principles while adapting them to suit product maturity and regulatory requirements. Facilitate sprint planning, backlog refinement, d...

As an MLOps Lead for our MNC client, you will play a crucial role in integrating machine learning models into the operational processes efficiently. The position is open in multiple locations including Hyderabad, Bangalore, Chennai, Pune, Mumbai, and Noida. The interview process will be conducted virtually to ensure convenience for all candidates. We are looking for individuals with 7 to 12 years of relevant experience in the field. The ideal candidate should have a notice period of only immediate to 30 days, demonstrating the urgency of this role. In this role, you will be expected to have a strong skill set in MLOps tools such as Mlflow and Kubeflow, along with proficiency in programming l...

We are looking for a skilled and enthusiastic Applied AI/ML Engineer to be a part of our team. As an Applied AI/ML Engineer, you will be responsible for leading the entire process of foundational model development, focusing on cutting-edge generative AI techniques. Your main objective will be to implement efficient learning methods for data and compute, specifically addressing challenges relevant to the Indian scenario. Your tasks will involve optimizing model training and inference pipelines, deploying production-ready models, ensuring scalability through distributed systems, and fine-tuning models for domain adaptation. Collaboration with various teams will be essential as you work towards...

You are an experienced professional with 7+ years of total experience, seeking an opportunity to work with Nagarro, a Digital Product Engineering company. You have hands-on working experience in Python and are familiar with data visualization libraries such as matplotlib, seaborn, and plotly. Your strong grasp of DS stack packages including SciPy, scikit-learn, TensorFlow, PyTorch, NumPy, and Pandas is commendable. Additionally, you possess basic to intermediate SQL skills and have experience working with GCP. In this role, you will be responsible for writing and reviewing high-quality code. You will be required to understand the clients" business use cases and technical requirements and tra...

You should have at least 7-10 years of industry experience, with a minimum of 5 years specifically in machine learning roles. Your proficiency should be advanced in Python and common ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in distributed training, model optimization (quantization, pruning), and inference at scale is essential. It is expected that you have hands-on experience with cloud ML platforms like AWS (SageMaker), GCP (Vertex AI), or Azure ML. Additionally, familiarity with MLOps tooling such as MLflow, TFX, Airflow, or Kubeflow, as well as data engineering frameworks like Spark, dbt, or Apache Beam is required. You should possess a strong understanding o...

You should have a minimum of 5 years of experience in AI/ML with at least 2+ years in NLP, LLMs, and Generative AI. Your expertise should include ML architecture design, end-to-end model development, and deployment in production systems. Proficiency in Python is essential, along with deep experience in ML libraries and frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain. A sound knowledge of transformer models, embeddings, tokenization, and vector databases such as FAISS and Pinecone is required. Experience with cloud-native AI solutions on AWS, Azure, or GCP is preferred. Familiarity with MLOps, model versioning, containerization using Docker, and orchestration tools like Kubef...

As a Staff Machine Learning Engineer at Onclusive, you will be responsible for leading machine learning projects from experimentation to deployment. You will play a crucial role in integrating machine learning solutions into our production systems, driving the success of the company. Additionally, this role provides an opportunity for you to not only enhance your technical skills but also grow as a leader. Your primary responsibilities will include owning machine learning projects end-to-end, collaborating with ML leadership and stakeholders to ensure project delivery aligns with requirements and constraints. You will design and develop scalable machine learning services, research and implem...

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be...

You are a highly experienced Lead Machine Learning Engineer specializing in Speech AI, Natural Language Processing (NLP), and Generative AI (GenAI). Your role is crucial in designing and expanding a production-grade speech-based virtual assistant powered by Large Language Models (LLMs), advanced audio signal processing, and multimodal intelligence. Collaborating closely with product, research, and DevOps teams, you will lead a group of ML engineers to create and implement cutting-edge AI solutions. In this role, your responsibilities include architecting and implementing advanced machine learning models for speech recognition (ASR), text-to-speech (TTS), NLP, and multimodal tasks. You will l...

You are a talented and innovative AI/ML Engineer with a strong background in machine learning and deep learning. You have a keen interest in Generative AI (GenAI) and are excited to explore, implement, and scale GenAI models. Your primary responsibilities include designing and deploying end-to-end AI/ML solutions, experimenting with cutting-edge GenAI frameworks and tools, and collaborating with cross-functional teams to solve business problems using ML solutions. Your key responsibilities involve designing and developing robust ML models, including traditional and deep learning approaches. You will also build, train, fine-tune, and deploy Generative AI models for various use cases such as t...

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has appli...

You are a professional with over 5 years of experience in data science, focusing on predictive modeling and optimization. Your expertise includes hands-on experience in Data Science on GCP, Generative AI fundamentals, and proficiency in Python (and/or R), SQL, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. You have a strong understanding of Cloud Architecture and the deployment of data solutions in cloud ecosystems like Azure, GCP, and AWS. Additionally, you have experience in deploying ML models in production using tools like MLflow, Kubeflow, Docker, and Kubernetes. Your proven expertise encompasses machine learning, mathematical optimization, and NLP techniques, i...

You are one of the potential candidates our client TOP MNC Giant is seeking for the position of Data Scientist. They are looking for individuals with 4 to 8 years of experience in this field who can join immediately or within 7 days. The base locations for this role are Gurgaon and Bengaluru with a hybrid setup where you will work 3 days from the office. As a Data Scientist, you must possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong programming skills in languages like Python and SQL are essential. You should have experience in developing and deploying AI/ML and deep learning solutions using frameworks such as Scikit-learn, Ten...

You will be responsible for designing and building backend components of our MLOps platform in Python on AWS. This includes collaborating with geographically distributed cross-functional teams and participating in an on-call rotation with the rest of the team to handle production incidents. To be successful in this role, you should have at least 3+ years of professional backend development experience with Python. Additionally, you should have experience with web development frameworks such as Flask or FastAPI, as well as working with WSGI & ASGI web servers like Gunicorn and Uvicorn. Experience with concurrent programming designs such as AsyncIO, containers (Docker), AWS ECS or AWS EKS, unit...