32 Tfx Jobs

Job Description We are urgently hiring an experienced NR Sales Manager to lead business development and relationship management for Non-Resident Indian (NRI) clients in the Pune/Mumbai region. The ideal candidate will have a strong background in NRI banking , with proven success in sales of TFX (Trade & Forex), Mutual Funds, and other wealth management products . Key Responsibilities Acquire and manage a portfolio of NRI clients with a focus on HNI & UHNI segments Drive sales of NRI banking products , including TFX (Trade & Forex), Mutual Funds (MF), Insurance, NRE/NRO accounts, and investment solutions Achieve revenue and business targets through cross-selling and upselling to existing and new NRI customers Build strong relationships with NRI customers by understanding their financial goals and providing personalized investment advice Coordinate with product teams to deliver tailored solutions based on client needs and regulatory compliance Stay updated on global markets , NRI regulations (RBI/FEMA), and cross-border taxation implications Maintain KYC/AML compliance and ensure documentation is in order Handle inbound leads and generate referrals from satisfied NRI clients Prepare regular MIS reports , pipeline trackers, and market analysis for senior management Key Skills & Competencies Proven experience in NRI Banking & Sales Sound knowledge of TFX, Mutual Funds, Investment Products, Insurance, and NRI regulations Strong interpersonal and communication skills Ability to manage and grow high-value client relationships Sales-oriented mindset with a customer-first approach Proficiency in banking systems (e.g., Finacle, CRM tools) Qualifications Graduate / Postgraduate in Finance, Commerce, or related field NISM / AMFI / IRDA certifications (preferred) Minimum 5 years of experience in NRI banking sales Prior experience working with private banks or wealth management firms targeting NRI clients

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*

JOB DESCRIPTION ROLE : Area Manager - Branch Banking Grade: M7 / M8 - Vice President (M7) / Senior Vice President (M8) FUNCTION : Branch Banking-Branch Banking SEGMENT : CONSUMER BANK LOCATION : JOB SPECIFICATIONS Job Role Achieving the Business Objectives for the Area and Meet the Value, Volume and Channel Productivity Metrics. Generation of Revenues through sale of CASA, Assets, TFX and Third Party Products like Insurance, General Insurance etc. through Branch Channel. Leading team of Branch Managers, Operation Team and Mentoring of Sales teams for the allotted Cluster. Enhancement of Deposit Pool from Customers. Regulatory compliance & Manpower planning. RM & RO Channel Productivity Improvement. Driving Service Quality parameters across Span. Manage Productivity, Morale of Branch Personnel. Establishing Standards and Delivery of Customer Service. Job Requirements Relevant Experience in RL Branch Banking with Team Handling Exposure. Excellent Written and Oral Skills. Analytical Skills. Ability to Influence People in Different Departments. Strong Relationship Orientation. Should be an Excellent Team Player. PERSONALITY TRAITS & REQUIRED SKILLS: SHOULD HAVE THE BUSINESS ACUMEN TO SPOT THE OPPORTUNITIES AND MAKE A BUSINESS CASE TO PENETRATE THE MARKET BY PREPARING CATCHMENT SPECIFIC STRATEGY ABILITY TO ENGAGE WITH VARIOUS CHANNELS ACROSS CONSUMER BANK AND LEAVE A POSITIVE IMPACT IN EVERY INTERACTION MUST BE AN EFFECTIVE COMMUNICATOR. NEED TO HAVE GOOD ARTICULATION SKILLS BLEND OF SERVICE AND SALES ORIENTATION SHOULD POSSESS GOOD ANALYTICAL & PRESENTATION SKILLS. QUALIFICATION : Graduation - Compulsory. MBA / PG - Preferred. AMFI / IRDA Certification - Preferred.

India is am ong the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Sr. D&T Machine Learning Engineer Function/Group Digital and Technology Location Mumbai Shift Timing Regular Role Reports to Manager-MLE Remote/Hybrid/in-Office Remote ABOUT GENERAL MILLS We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS). For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the Work with Heart philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the provided Purpose of the role General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success. This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning . It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills. This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. KEY ACCOUNTABILITIES Establish and Implement MLOps practices: Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI Serving Pipeline with multiple creation Vertex AI and GCP services Resource and Infra Monitoring configuration and pipeline development using GCP Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool Branching strategies and Version Control using GitHub ML Pipeline orchestration and configuration using DAG and Workflow orchestration using airflow/cloud Code refactorization & coding best practices implementation as per industry standard Technology-Stack suggestion based on 360 Deg Implementing MLOps practices on project and follow the set MLOps Support the ML models throughout the E2E MLOps lifecycle from development to maintenance Architecture: Micro Services Architecture and framework Development concept Agile software Development concept Architecture Design for HLD, LLD and Solution design Team Mentoring: Programming language Pattern Design implementation Review projects PR and PBIs and suggestion for improvement Knowledge sharing session with team for specific ML Ops Guide/Mentor team members for MLOps framework development Research, Evolve and Publish best practices: Research and operationalize technology and processes necessary to scale ML Ops Ability to research and recommend MLOps best practices on new technologies, platforms, and MLOps pipeline improvement plan and suggestion Communication and Collaboration: Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform Knowledge sharing with the broader analytics team and stakeholders is Communicate on the on-goings to embrace the remote and cross geography Align on the key priorities and focus Ability to communicate the accomplishments, failures, and risks in timely manner. Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup Documentation: Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members MINIMUM QUALIFICATIONS Total experience required 10-12 yrs Min qualification - Bachelor's degree (full time) Expertise and at least 5yrs of professional experience in MLOps E2E framewo rk Expertise in Data Transformation and Manipulation through Big-Query/SQL Professional experience Vertex AI and GCP Services Expertise in one of the programming Language Python/R Airflow/Cloud composer Experience Kubernetes/Kubeflow Experience MLflow Professional experience TFX Professional experience Docker -container Experience At least 5yrs of professional experience in the related field of Data Science Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic Expert level . ML Ops E2E framework . Big Query/SQL . Python / R . Vertex AI and GCP Services . Docker-Container . Kubeflow/Kubernetes . TFX . Airflow . MLflow . GitHub . Strong communication skills Intermediate level . Machine Learning and Deep Learning algorithms . Agile techniques . Demonstrates teamworking skills. . Mentor others and lead best practices. . Micro Services concept . Power BI, Tableau, Looker Basic Level . Good to have domain knowledge: Consumer Packed Goods industry and data sources . Analytic toolset- dbt, atscale, neo4j, Atlassian PREFERRED QUALIFICATIONS GCP certifi ca tion Understanding of CPG industry Bcsic understanding of dbt AutoML Concept Machine Learning -Concept of Algorithms Deep Learning- Concept of Algorithms Time Series Analysis- Concept of Algorithms

We are hiring for RM- Business banking for Private Bank at Bangalore Position : Relationship manager Vertical : Business Banking Location : Bangalore Acquisition of the Clients to the Bank Providing Business banking solutions Generating revenue to the branch bank Minimum 6+ Years of sales experience in Business Banking Current Account TFX VC Interviews will be going on 4th September 2025 !!! Interested candidates share profiles to Vijayakumar.avula@gmail.com or call 9959342908

We are hiring for Cluster Head - Business banking for A private bank Position : Cluster Head Business : Business Banking Locations : Bangalore Handling a Team of Business Banking Relationship managers in allocated cluster Generating the Business Banking business to the bank Should have Minimum 10 + sales experience into Business Banking TFX in Banking with 2+ Team handling. Interviews are going on!!!. Interested Candidates share their profiles Vijayakumar.avula@upgrad.com or call to 9959342908.Role & responsibilities Preferred candidate profile

We are hiring for Trade Forex Counselor - Bangalore for A private bank Position : Trade Forex Counselor - Bangalore Business : Trade Forex Counselor Locations : Bangalore CTC up to 15 L Should have Minimum 10 + sales Trade Forex or Counselor experience in Banking Interviews are going on!!!. Interested Candidates share their profiles Vijayakumar.avula@upgrad.com or call to 9959342908.

As an Area Manager in Branch Banking, your primary responsibility will be to achieve the business objectives for the area by meeting the value, volume, and channel productivity metrics. You will be essential in generating revenues through the sales of CASA, Assets, TFX, and Third Party Products like Insurance and General Insurance via the branch channel. Your role will involve leading Branch Managers, Operations Team, and mentoring Sales Teams to ensure the enhancement of the deposit pool from customers. In addition to driving revenue generation, you will be accountable for ensuring regulatory compliance, effective manpower planning, and improving RM & RO channel productivity. It will be crucial for you to focus on driving service quality parameters across the span, managing the productivity morale of branch personnel, and establishing standards for the delivery of customer service. To excel in this role, you must possess an excellent understanding of CASA & Cross-sell products concerning all financial requirements. Strong presentation skills, service acumen, and a focus on service, relationship management, and investments are essential qualities for this position. Effective communication skills, both oral and written, will be necessary for successful collaboration within the team and with clients. You will be required to adhere to KYC/Quality and Audit norms as per company policy, ensuring compliance and quality in all operations. A post-graduation degree along with a minimum of 10-12 years of experience in team handling, preferably in relationship management, is expected. Prior experience in book management and a solid understanding of business MIS will be beneficial in fulfilling the responsibilities of this role.,

This is regarding job opening with Leading Bank Location - Bangalore Job Title: Area Head / Cluster Head Banking Key Responsibilities: Drive business objectives for the area by achieving value, volume, and channel productivity metrics. Generate revenue through sales of CASA, Assets, TFX, and Third-Party Products (Insurance, General Insurance, etc.) via branch channels. Lead and mentor Branch Managers, Operations Teams, and Sales Teams. Enhance deposit pool and deepen wallet share from customers. Ensure regulatory compliance and adherence to KYC, audit, and quality standards. Plan manpower effectively and improve Relationship Manager (RM) & Relationship Officer (RO) productivity. Drive service quality parameters across the area. Maintain productivity, motivation, and morale of branch personnel. Establish high standards of customer service delivery. Interetsed candidate can share CV on [HIDDEN TEXT] Show more Show less

As an AI Tester with 3 to 5 years of experience, you will be a valuable addition to our team in Mumbai, contributing to the enhancement of cutting-edge AI agents. Your primary responsibility will be to ensure the quality, reliability, and performance of AI-driven systems through the designing and execution of test cases, data validation, and close collaboration with developers and data scientists. In this role, you will: - Develop comprehensive test plans encompassing functional, regression, performance, and edge-case testing. - Collaborate with developers and data scientists to establish acceptance criteria for AI behavior. - Design and implement test cases to validate AI agent functionality and accuracy, including decision-making processes and interactions. - Verify the quality of training data and assess the AI agents" capability to handle diverse inputs, while identifying and addressing potential issues related to data bias and robustness. - Evaluate system performance under varying loads and edge cases, identify bottlenecks, and optimize AI agent performance. - Document and track issues using tools like Jira, Trello, or similar, and work closely with developers for swift resolutions. - Develop automated test scripts for AI systems, integrating automation into CI/CD pipelines for continuous testing. - Collaborate with cross-functional teams, participate in agile ceremonies, and share valuable QA insights. Your technical skills should include a strong understanding of software testing methodologies, familiarity with AI/ML concepts, hands-on experience with test automation tools and scripting languages, proficiency in API testing tools, experience with CI/CD pipelines, and specialized skills in AI-specific testing areas. Additionally, possessing strong analytical and problem-solving abilities, excellent communication and documentation skills, and a keen focus on quality delivery will be crucial soft skills for success in this role. Nice-to-have skills include experience with cloud platforms, knowledge of containerization tools, and familiarity with version control and project management tools. Ideal candidates will hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with significant experience in software testing, particularly AI/ML systems. Certifications in software testing or AI/ML are considered advantageous.,

JOB DESCRIPTION ROLE : Area Manager - Branch Banking Grade: M7 / M8 - Vice President (M7) / Senior Vice President (M8) FUNCTION : Branch Banking-Branch Banking SEGMENT : CONSUMER BANK LOCATION : JOB SPECIFICATIONS Job Role Achieving the Business Objectives for the Area and Meet the Value, Volume and Channel Productivity Metrics. Generation of Revenues through sale of CASA, Assets, TFX and Third Party Products like Insurance, General Insurance etc. through Branch Channel. Leading team of Branch Managers, Operation Team and Mentoring of Sales teams for the allotted Cluster. Enhancement of Deposit Pool from Customers. Regulatory compliance & Manpower planning. RM & RO Channel Productivity Improvement. Driving Service Quality parameters across Span. Manage Productivity, Morale of Branch Personnel. Establishing Standards and Delivery of Customer Service. Job Requirements Relevant Experience in RL Branch Banking with Team Handling Exposure. Excellent Written and Oral Skills. Analytical Skills. Ability to Influence People in Different Departments. Strong Relationship Orientation. Should be an Excellent Team Player. PERSONALITY TRAITS & REQUIRED SKILLS: SHOULD HAVE THE BUSINESS ACUMEN TO SPOT THE OPPORTUNITIES AND MAKE A BUSINESS CASE TO PENETRATE THE MARKET BY PREPARING CATCHMENT SPECIFIC STRATEGY ABILITY TO ENGAGE WITH VARIOUS CHANNELS ACROSS CONSUMER BANK AND LEAVE A POSITIVE IMPACT IN EVERY INTERACTION MUST BE AN EFFECTIVE COMMUNICATOR. NEED TO HAVE GOOD ARTICULATION SKILLS BLEND OF SERVICE AND SALES ORIENTATION SHOULD POSSESS GOOD ANALYTICAL & PRESENTATION SKILLS. QUALIFICATION : Graduation - Compulsory. MBA / PG - Preferred. AMFI / IRDA Certification - Preferred.

JOB DESCRIPTION ROLE : Area Manager - Branch Banking Grade: M7 / M8 - Vice President (M7) / Senior Vice President (M8) FUNCTION : Branch Banking-Branch Banking SEGMENT : CONSUMER BANK LOCATION : JOB SPECIFICATIONS Job Role Achieving the Business Objectives for the Area and Meet the Value, Volume and Channel Productivity Metrics. Generation of Revenues through sale of CASA, Assets, TFX and Third Party Products like Insurance, General Insurance etc. through Branch Channel. Leading team of Branch Managers, Operation Team and Mentoring of Sales teams for the allotted Cluster. Enhancement of Deposit Pool from Customers. Regulatory compliance & Manpower planning. RM & RO Channel Productivity Improvement. Driving Service Quality parameters across Span. Manage Productivity, Morale of Branch Personnel. Establishing Standards and Delivery of Customer Service. Job Requirements Relevant Experience in RL Branch Banking with Team Handling Exposure. Excellent Written and Oral Skills. Analytical Skills. Ability to Influence People in Different Departments. Strong Relationship Orientation. Should be an Excellent Team Player. PERSONALITY TRAITS & REQUIRED SKILLS: SHOULD HAVE THE BUSINESS ACUMEN TO SPOT THE OPPORTUNITIES AND MAKE A BUSINESS CASE TO PENETRATE THE MARKET BY PREPARING CATCHMENT SPECIFIC STRATEGY ABILITY TO ENGAGE WITH VARIOUS CHANNELS ACROSS CONSUMER BANK AND LEAVE A POSITIVE IMPACT IN EVERY INTERACTION MUST BE AN EFFECTIVE COMMUNICATOR. NEED TO HAVE GOOD ARTICULATION SKILLS BLEND OF SERVICE AND SALES ORIENTATION SHOULD POSSESS GOOD ANALYTICAL & PRESENTATION SKILLS. QUALIFICATION : Graduation - Compulsory. MBA / PG - Preferred. AMFI / IRDA Certification - Preferred.

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*

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 of CI/CD for ML, model governance, and post-deployment monitoring including aspects like data drift and model decay. Excellent problem-solving skills, effective communication, and good documentation practices are also key qualities for this role.,

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.