13 Tfx Jobs

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*