18 Tfx Jobs

You should possess a minimum of 7-10 years of industry experience, out of which a minimum of 5 years should have been in machine learning roles. Your proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, and Scikit-learn should be advanced. Furthermore, you should have hands-on experience in distributed training, model optimization including quantization and pruning, and inference at scale. Experience with cloud ML platforms like AWS (SageMaker), GCP (Vertex AI), or Azure ML is essential. It is expected that you are familiar with MLOps tooling such as MLflow, TFX, Airflow, or Kubeflow, and data engineering frameworks like Spark, dbt, or Apache Beam. A solid understanding of CI/CD for ML, model governance, and post-deployment monitoring (e.g., data drift, model decay) is crucial for this role. In addition to technical skills, problem-solving abilities, effective communication, and strong documentation skills are highly valued in this position.,

????Were Hiring: ML Ops / Data Engineer (Minimum 5 Years Experience)??? Are you a data engineering professional withat least 5 years of experiencein building scalable data pipelines and deploying machine learning models Were looking for a talentedML Ops / Data Engineerto join our team inNoida! ????What Youll Do: Design and maintain robust data pipelines for large-scale datasets Collaborate with data scientists to deploy and monitor ML models in production Develop and optimize ETL processes usingAWS Glue,PySpark, andSQL Automate ML workflows using tools likeKubeflow,MLflow, orTFX Ensure model versioning, logging, and performance tracking Work with cloud platforms (AWS preferred) and modern data storage solutions Ensure data security, integrity, and compliance ?????Must-Have Skills: Minimum 5 years of experiencein data engineering or ML Ops Proficiency inAWS Services(Lambda, EventBridge, Fargate) Strong knowledge ofSQL,Docker, andKubernetes Experience withAWS Glue,PySpark, and containerized environments ????Location:Noida ????Employment Type:Permanent ????Primary Skill:AWS Cloud, ML Ops, Data Engineering If you&aposre ready to take your career to the next level and work on cutting-edge ML infrastructure, wed love to connect! #Hiring #MLOps #DataEngineering #AWSJobs #ETL #MachineLearning #NoidaJobs #TechCareers #DataPipelines #5YearsExperience Show more Show less

As a Senior Machine Learning Engineer with over 10 years of experience, you will play a crucial role in designing, building, and deploying scalable machine learning systems in production. In this role, you will collaborate closely with data scientists to operationalize models, take ownership of ML pipelines from end to end, and enhance the reliability, automation, and performance of our ML infrastructure. Your primary responsibilities will include designing and constructing robust ML pipelines and services for training, validation, and model deployment. You will work in collaboration with various stakeholders such as data scientists, solution architects, and DevOps engineers to ensure alignment with project goals and requirements. Additionally, you will be responsible for ensuring cloud integration compatibility with AWS and Azure, building reusable infrastructure components following best practices in DevOps and MLOps, and adhering to security standards and regulatory compliance. To excel in this role, you should possess strong programming skills in Python, have deep experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, and be proficient in MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience in deploying models using Docker and Kubernetes, familiarity with cloud platforms and ML services, and proficiency in data engineering tools are essential for success in this position. Additionally, knowledge of CI/CD, version control, and infrastructure as code along with experience in monitoring/logging tools will be advantageous. Good-to-have skills include experience with feature stores and experiment tracking platforms, knowledge of edge/embedded ML, model quantization, and optimization, as well as familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases and experience in leading cross-functional initiatives or mentoring junior engineers will also be beneficial. Joining Ericsson will provide you with an exceptional opportunity to leverage your skills and creativity to address some of the world's toughest challenges. You will be part of a diverse team of innovators who are committed to pushing the boundaries of innovation and crafting groundbreaking solutions. As a member of this team, you will be challenged to think beyond conventional limits and contribute to shaping the future of technology.,

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be beneficial for this role. Experience with cloud platforms such as AWS, GCP, and Azure, as well as managed ML services, is a plus. Any contributions to open-source ML libraries or participation in ML competitions like Kaggle or DrivenData will be considered an advantage.,

???? About Es Magico Es Magico is an AI-first enterprise transformation organisation that goes beyond consulting we deliver scalable execution across sectors such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to augment the human workforce by deploying bespoke AI employees across business functions, innovating swiftly and executing with trust. We also partner with early-stage startups as a venture builder, transforming 0 ? 1 ideas into AI-native, scalable products. ???? Role: MLOps Engineer ??? Location: Bengaluru (Hybrid) ??? Experience: 14 years ??? Joining: Immediate ???? Key Responsibilities Design, develop, and maintain scalable ML pipelines for training, testing, and deployment. Automate model deployment, monitoring, and version control across dev/staging/prod environments. Integrate CI/CD pipelines for ML models using tools like MLflow, Kubeflow, Airflow, etc. Manage containerized workloads using Docker and orchestrate with Kubernetes or GKE. Collaborate closely with data scientists and product teams to optimize ML model lifecycle. Monitor performance and reliability of deployed models and troubleshoot issues as needed. ????? Technical Skills Experience with MLOps frameworks: MLflow, TFX, Kubeflow, or SageMaker Pipelines. Proficient in Python and common ML libraries (scikit-learn, pandas, etc.). Solid understanding of CI/CD practices and tools (e.g., GitHub Actions, Jenkins, Cloud Build). Familiar with Docker, Kubernetes, and Google Cloud Platform (GCP). Comfortable with data pipeline tools like Airflow, Prefect, or equivalent. ???? Preferred Qualifications 14 years of experience in MLOps, ML engineering, or DevOps with ML workflows. Prior experience with model monitoring, drift detection, and automated retraining. Exposure to data versioning tools like DVC or Delta Lake is a plus. GCP certifications or working knowledge of Vertex AI is a strong advantage. ???? How to Apply Send your resume to [HIDDEN TEXT] with the subject line: Application MLOps Engineer. Show more Show less

Manage RM's as a team lead Relationship Management profile involving acquiring growing and deepening HNI / NRI customer relationships through effective portfolio management Generate new business defined sales targets of RM's and branch Required Candidate profile Focusing on the analysis and satisfaction of Customers financial, banking, investment and business needs and objectives To cross sell wealth & liability products to the banks premium Asset clients Perks and benefits Best In Banking Industry*

The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements profile involving acquiring growing deepening Bank customer relationships through effective relationship management Required Candidate profile Focusing on the analysis and satisfaction of Bank Customers financial banking investment and business needs and objectives To cross sell Asset & liability products to the banks clients PMS AUM AIF Perks and benefits Best In Banking Industry*

The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements profile involving acquiring growing deepening Bank customer relationships through effective relationship management Required Candidate profile Focusing on the analysis and satisfaction of Bank Customers financial banking investment and business needs and objectives To cross sell Asset & liability products to the banks clients PMS AUM AIF Perks and benefits Best In Banking Industry*

Hi Pleasae Find JD and send me your updated Resume Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or ML Engineering roles. Strong experience with containerization (Docker) and orchestration (Kubernetes). Proficiency in Python and experience working with ML libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipeline tools such as MLflow, Kubeflow, TFX, Airflow, or SageMaker Pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, CloudFormation). Solid understanding of CI/CD principles, especially as applied to machine learning workflows. Nice-to-Have Experience with feature stores, model registries, and metadata tracking. Familiarity with data versioning tools like DVC or LakeFS. Exposure to data observability and monitoring tools. Knowledge of responsible AI practices including fairness, bias detection, and explainability.

Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Relationship Management profile involving acquiring, growing and deepening Ultra HNI / NRI customer relationships through effective portfolio management face of the Bank to the UHNI customers of the Bank Generate new business, defined sales targets Required Candidate profile Focusing on the analysis and satisfaction of HNI Customers financial, banking, investment and business needs and objectives To cross sell wealth & liability products to the banks premium Asset clients Perks and benefits Best In Banking Industry*

The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements profile involving acquiring growing deepening Bank customer relationships through effective relationship management Required Candidate profile Focusing on the analysis and satisfaction of Bank Customers financial, banking, investment and business needs and objectives To cross sell Asset & liability products to the banks clients PMS AUM AIF Perks and benefits Best In Banking Industry*

The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements profile involving acquiring growing deepening Bank customer relationships through effective relationship management Required Candidate profile Focusing on the analysis and satisfaction of Bank Customers financial, banking, investment and business needs and objectives To cross sell Asset & liability products to the banks clients PMS AUM AIF Perks and benefits Best In Banking Industry*

The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements profile involving acquiring growing deepening Bank customer relationships through effective relationship management Required Candidate profile Focusing on the analysis and satisfaction of Bank Customers financial, banking, investment and business needs and objectives To cross sell Asset & liability products to the banks clients PMS AUM AIF Perks and benefits Best In Banking Industry*

Relationship Management profile involving acquiring, growing and deepening Ultra HNI / NRI customer relationships through effective portfolio management face of the Bank to the UHNI customers of the Bank Generate new business, defined sales targets Required Candidate profile Focusing on the analysis and satisfaction of HNI Customers financial, banking, investment and business needs and objectives To cross sell wealth & liability products to the banks premium Asset clients Perks and benefits Best In Banking Industry*

Relationship Management profile involving acquiring, growing and deepening Ultra HNI / NRI customer relationships through effective portfolio management face of the Bank to the UHNI customers of the Bank Generate new business, defined sales targets Required Candidate profile Focusing on the analysis and satisfaction of HNI Customers financial, banking, investment and business needs and objectives To cross sell wealth & liability products to the banks premium Asset clients Perks and benefits Best In Banking Industry*

Relationship Management profile involving acquiring, growing and deepening Ultra HNI / NRI customer relationships through effective portfolio management face of the Bank to the UHNI customers of the Bank Generate new business, defined sales targets Required Candidate profile Focusing on the analysis and satisfaction of HNI Customers financial, banking, investment and business needs and objectives To cross sell wealth & liability products to the banks premium Asset clients Perks and benefits Best In Banking Industry*