69 Deploying Models Jobs

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BSc Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Additional Responsibilities: Nice to have Skills: SQL knowledge and experience working with relational databases. Understanding of any one of domain (EgRetail, Supply chain, Logistics, Manufacturing). Understanding of the project lifecycleswaterfall and agile.Soft Skills: Strong verbal and written communication skills with the ability to work well in a team. Strong customer focus, ownership, urgency and drive. Ability to handle multiple, competing priorities in a fast-paced environment. Work well with the team members to maintain high credibilityWork Experience: 2 - 5 years of experience in Data Analytics, Data Science or Data Visualization.Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record.Additional Academic Qualification (good to have): Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record. PhD in any stream.Location Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore Technical and Professional Requirements: Must Have Skills: Hands-on experience in Data Science, Python/R Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. Ability to communicate actionable insights using data, often to a non-technical audience. Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Preferred Skills: Technology-Data Science-Machine Learning

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Network Security Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate a seamless migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies, ultimately driving next-generation business outcomes. You will engage with various stakeholders to ensure that the migration process aligns with organizational goals and meets performance expectations. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions to enhance team capabilities in cloud migration.- Monitor and evaluate the performance of migrated applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Network Security Operations.- Strong understanding of cloud architecture and deployment models.- Experience with cloud service providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.- Familiarity with security protocols and compliance standards relevant to cloud environments.- Ability to troubleshoot and resolve network security issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in Network Security Operations.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Ml algorithms:RegressionClassificationClusteringDeep learningPytorch or tensorflowPythonAny one cloud service and deployment of the models

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

6-10 years experience in data science and ML model development A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution. Solid understanding of regression, classification, and statistical methods Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard) Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow) Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD pipelines (GitHub Actions, Cloud Build) Experience with monitoring and maintaining ML models in production, using Vertex AI Model Monitoring and related GCP tools Good to Have Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and Google Agent Development Kit (ADK) Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such as Discovery Engine SDK, Reasoning Engine SDK, and GKE

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving discussions, ensuring that solutions align with business objectives and technical standards. Your role will require you to facilitate communication between stakeholders and technical teams, ensuring that projects progress smoothly and efficiently while adhering to timelines and quality standards. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Mentor junior professionals, providing guidance and support in their development.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Strong understanding of cloud architecture and deployment models.- Experience with data integration and ETL processes.- Familiarity with application lifecycle management and DevOps practices.- Ability to analyze and optimize application performance. Additional Information:- The candidate should have minimum 18 years of experience in Microsoft Azure Data Services.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

We’re looking for an experienced, motivated hands-on engineer who brings ideas about building largescale enterprise applications; As a Senior Developer, you’ll apply your deep expertise in designing, developing and delivering a world class software. You will also help in providing technical direction and develop strategies for long-term product growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face. The day today responsibilities include Analyzes and designs software modules, features or components of software programs and develops related specifications. Develops, tests, documents and maintains complex software programs for assigned systems, applications and/or products. Gathers and evaluates software project requirements and apprises appropriate individual(s). Codes, tests and debugs new software or enhances existing software. Troubleshoots and resolves or recommends solutions to complex software problems. Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application as required. Provides senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates. Assists management with the planning, scheduling and assigning of projects to software development personnel. Ensures product quality by participating in design reviews, code reviews, and other mechanisms. Interacts effectively with Quality Assurance team. Participates in developing test procedures for system quality and performance. Writes and maintains technical documentation for assigned software projects. Provides initial input on new or modified product/application system features or enhancements for user documentation. Reviews user documentation for technical accuracy and completeness. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 6 to 9 years of experience in developing enterprise applications using Java, J2EE and related technologies Hands-on experience with both RDBMS (Oracle, IBM DB2) and no-SQL databases (Cassandra) Strong understanding of advanced algorithms used in design and development of enterprise grade software Hands on experience writing code with streaming tools like Kafka and using cloud functions (serverless compute) Strong knowledge of Microservice architecture and deployment model for enterprise grade cloud env (public / private). Strong knowledge of software development tools and methods; related software languages; test design and configuration; related systems, applications, products and services. Good written and verbal communication skills. Ability to test and analyze data and provide recommendations; to organize tasks and determine priorities; Ability to provide guidance to less experienced personnel. Proven debugging and troubleshooting skills (memory, performance, battery usage, network usage optimization, etc) Preferred technical and professional experience Java, Spring boots No-sql DB microservices Experience in working on large scale SaaS application

Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML models. Collaborate with Data Scientists to build scalable model deployment architectures. Automate data and model validation, retraining, and monitoring pipelines. Ensure reliability, security, and scalability of ML infrastructure. Monitor model performance and data drift in production environments. Integrate ML models with APIs, web services, and production systems. Implement best practices for version control and reproducibility of ML workflows. Manage containerized ML applications using Docker and Kubernetes. Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Proven experience in MLOps, DevOps, or ML Engineering roles. Proficiency in Python, Bash, and scripting languages. Hands-on experience with ML platforms (e.g., MLflow, Kubeflow, SageMaker). Familiarity with cloud platforms (AWS, Azure, GCP). Experience with CI/CD tools (e.g., Jenkins, GitHub Actions). Strong understanding of ML model lifecycle and deployment challenges. Excellent problem-solving and communication skills. Preferred Skills: Experience with infrastructure-as-code tools (e.g., Terraform). Knowledge of data engineering and ETL pipelines. Exposure to monitoring tools like Prometheus, Grafana.

Job description Why CDM Smith? Join a team of innovators dedicated to driving data science and AI to new heights. Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve. Competitive compensation and benefits package, with opportunities for professional development and growth. About CDM Smith: CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies. Position Summary: We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration : Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open A I with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.

MEET THE TEAM We are a high-performing analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. YOUR IMPACT As the AI Lead, you'll architect AI-powered BI systems integrating Snowflake, Tableau, and natural language interfaces. Youll transform ETL workflows with ML automation and build multi-agent AI systems to supervise KPIs, generate dashboards, and drive insights in real time. MINIMUM QUALIFICATIONS Proven expertise in building AI apps (LLMs, RAG, NLP, Deep Learning). Sophisticated Python, SQL (Snowflake), and Tableau dashboarding. Experience with ML pipelines, GenAI frameworks (LangChain, Hugging Face). Ability to lead workshops, PoCs, and mentor teams. Close collaboration with AI/engineering/product teams. Continuous learning mindset with industry awareness. BASIC QUALIFICATIONS Bachelors/Masters in CS, AI, or related field. 10+ years in BI/Analytics; 3+ in AI/ML roles. Expertise in LLMs (OpenAI, Claude, Llamas), RAG, and agent-based systems. Strong MLOps skills: model deployment, lifecycle management. Leadership in cross-functional teams and innovation delivery. PREFERRED QUALIFICATIONS Experience with multi-agent AI in BI, Snowflake Cortex, and MLOps tools like Kubeflow. Proven track record integrating AI with enterprise BI platforms for business impact.

About The Role Project Role : Cloud Advisory Innovation Project Role Description : Act as Subject Matter Expert in area of expertise and support clients to design, build and implement scalable, high performance hosting solutions using Cloud Technologies. Identify business requirements and corresponding cloud based solutions. Plan and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Enhance Accentures marketplace reputation. Must have skills : Netapp Network Attached Storage (NAS) Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Advisory Innovation professional, you will engage with clients to understand their unique business needs and provide expert guidance in designing and implementing high-performance hosting solutions utilizing cloud technologies. Your typical day will involve collaborating with cross-functional teams, analyzing existing infrastructure, and developing strategies for legacy transformation and migration, all while enhancing the reputation of the organization in the marketplace. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings with stakeholders to gather requirements and present cloud solutions.- Develop comprehensive project plans that outline timelines, resources, and deliverables for cloud migration initiatives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Netapp Network Attached Storage (NAS) Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration strategies and tools.- Familiarity with performance tuning and optimization of cloud-based solutions.- Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Netapp Network Attached Storage (NAS) Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : NEXThink Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on deployment of infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals. Your role will also require you to stay updated with the latest cloud technologies and best practices to enhance the efficiency and effectiveness of the solutions you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in cloud technologies.- Continuously evaluate and improve cloud application solutions to ensure optimal performance and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in NEXThink.- Good To Have Skills: Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.- Strong understanding of cloud architecture and deployment models.- Experience with automation tools and scripting languages to streamline deployment processes.- Familiarity with monitoring and performance tuning of cloud applications. Additional Information:- The candidate should have minimum 5 years of experience in NEXThink.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

7+ years of experience in machine learning and data science Extensive experience with Amazon SageMaker, including: Model development and testing (3+ years) Model deployment (3+ years) Model monitoring (2+ years) Key Responsibilities: Develop and test machine learning models using SageMaker, leveraging built-in algorithms and custom frameworks. Deploy models to production using SageMaker endpoints, batch transform, and multi-model endpoints. Implement continuous monitoring of deployed models using SageMaker Model Monitor. Conduct A/B testing and shadow testing for new model versions. Optimize model performance and cost-efficiency using SageMaker features like Spot Training and automated hyperparameter tuning. Collaborate with cross-functional teams to integrate ML models into production applications. Required Skills: Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of ML workflows, from data preparation to model deployment Experience with AWS services related to ML pipelines (e.g., S3, CloudWatch, Lambda) Familiarity with SageMaker Studio and SageMaker notebooks Knowledge of best practices in MLOps and model governance Preferred Qualifications: Experience with SageMaker features such as Autopilot, Feature Store, and Pipelines Familiarity with containerization and Docker Understanding of distributed computing and large-scale data processing Experience with real-time and batch inference scenarios AWS certifications related to machine learning or data science Key Responsibilities: Design and architect end-to-end MDM solutions using the Reltio platform, focusing on banking or Customer 360 use cases. Collaborate with cross-functional teams to align MDM solutions with broader organizational objectives. Provide technical leadership in Reltio technologies, standard methodologies, and data governance practices. Develop and optimize customer relationship profiles using Reltio's multi-model architecture. Required Qualifications: Reltio certification as a Solution Architect. 8+ years of experience in large-scale program execution, with at least 3 years leading Customer 360 or similar enterprise-wide initiatives. Strong understanding of the banking domain or extensive Customer 360 experience. Expertise in data modeling, data quality management, and data governance. Proficiency in cloud platforms (AWS, Azure, Google Cloud) for hosting MDM solutions. Experience with ETL concepts, data integration frameworks, and workflow automation. Preferred Skills: Familiarity with other MDM platforms. Understanding of regulatory requirements in the banking sector. Key Competencies: Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Proven track record in delivering complex MDM projects. Ability to translate business requirements into technical solutions.

About the Opportunity Job Type: PermanentApplication Deadline: 31 July 2025 Title Senior Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Reports To Gaurav Shekhar Level Data Scientist 4 About your team Join the Enterprise Data & Analytics team collaborating across Fidelitys global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making. About your role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impactdriving growth, enhancing client experiences, and informing high-stakes decisions. Youll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, youll translate complex challenges into scalable AI solutions. Youll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes. About you You have 47 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. Youre skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred. For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

Machine Learning Engineer Fraud Detection Job Title : Machine Learning Engineer Fraud Detection Location : Chennai, Hyderabad, Bangalore Experience : 1-4 Role Summary: Design and deploy machine learning models to detect and prevent fraudulent activities in real-time across payment and lending platforms. Key Responsibilities: Build and train models for anomaly detection, behavioural analysis, and risk scoring. Work with data scientists and engineers to deploy models in production. Continuously monitor model performance and retrain as needed. Integrate models with fraud detection systems and alert mechanisms. Stay updated on emerging fraud tactics and ML techniques. Qualifications: 36 years in machine learning or data engineering. Strong programming skills in Python, TensorFlow, PyTorch, or similar. Experience with fraud detection systems and real-time data pipelines. Knowledge of supervised and unsupervised learning techniques. Familiarity with financial regulations and data privacy standards.

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project. The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation. Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments. The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure). Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : OpenShift Virtualization Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring the smooth operation of applications that are vital to business functions. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency and effectiveness of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members on troubleshooting techniques. Professional & Technical Skills: - Must To Have Skills: Proficiency in OpenShift Virtualization.- Good To Have Skills: Experience with Kubernetes and container orchestration.- Strong understanding of cloud infrastructure and deployment models.- Familiarity with monitoring tools and performance tuning.- Experience in scripting languages for automation tasks. Additional Information:- The candidate should have minimum 3 years of experience in OpenShift Virtualization.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Cloud Infrastructure Good to have skills : Infrastructure Service Management, SAP GRC( AC.PC,RM)Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements and provide input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the design and implementation of cloud infrastructure solutions.- Collaborate with stakeholders to understand and define infrastructure requirements.- Ensure the scalability, security, and reliability of cloud infrastructure systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Infrastructure.- Strong understanding of cloud service models and deployment models.- Experience with infrastructure automation tools like Terraform or Ansible.- Knowledge of networking concepts and protocols.- Hands-on experience with cloud security best practices. Additional Information:- The candidate should have a minimum of 15 years of experience in Cloud Infrastructure.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

We are looking for a Machine Learning Engineer with expertise in MLOps (Machine Learning Operations) or LLMOps (Large Language Model Operations) to design, deploy, and maintain scalable AI/ML systems. You will work on automating ML workflows, optimizing model deployment, and managing large-scale AI applications, including LLMs (Large Language Models) , ensuring they run efficiently in production. Key Responsibilities: Design and implement end-to-end MLOps pipelines for training, validation, deployment, monitoring, and retraining of ML models. Optimize and fine-tune large language models (LLMs) for various applications, ensuring performance and efficiency. Develop CI/CD pipelines for ML models to automate deployment and monitoring in production. Monitor model performance, detect drift , and implement automated retraining mechanisms. Work with cloud platforms ( AWS, GCP, Azure ) and containerization technologies ( Docker, Kubernetes ) for scalable deployments. Implement best practices in data engineering , feature stores, and model versioning. Collaborate with data scientists, engineers, and product teams to integrate ML models into production applications. Ensure compliance with security, privacy, and ethical AI standards in ML deployments. Optimize inference performance and cost of LLMs using quantization, pruning, and distillation techniques . Deploy LLM-based APIs and services, integrating them with real-time and batch processing pipelines. Key Requirements: Technical Skills: Strong programming skills in Python, with experience in ML frameworks ( TensorFlow, PyTorch, Hugging Face, JAX ). Experience with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Airflow). Deep understanding of LLM architectures , prompt engineering, and fine-tuning. Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools . Proficiency in cloud services (AWS/GCP/Azure) for ML model training and deployment. Experience with monitoring ML models (Prometheus, Grafana, Evidently AI). Knowledge of feature stores (Feast, Tecton) and data pipelines (Kafka, Apache Beam). Strong background in distributed computing (Spark, Ray, Dask) . Soft Skills: Strong problem-solving and debugging skills. Ability to work in cross-functional teams and communicate complex ML concepts to stakeholders. Passion for staying updated with the latest ML and LLM research & technologies . Preferred Qualifications: Experience with LLM fine-tuning , Reinforcement Learning with Human Feedback ( RLHF ), or LoRA/PEFT techniques . Knowledge of vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation ( RAG ). Familiarity with LangChain, LlamaIndex , and other LLMOps-specific frameworks. Experience deploying LLMs in production (ChatGPT, LLaMA, Falcon, Mistral, Claude, etc.) .

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility