9 Ml Model Jobs

Role Summary: The AI/ML Platform Engineering Lead is a pivotal leadership role responsible for managing the day-to-day operations and development of the AI/ML platform team. In this role, you will guide the team in designing, building, and maintaining scalable platforms, while collaborating with other engineering and data science teams to ensure successful model deployment and lifecycle management. You can apply directly using the link below: https://jobs.lever.co/welocalize/628f87a7-4edd-4b4f-b440-3b602aa4dadc Key Responsibilities: Lead and manage a team of platform engineers in developing and maintaining robust AI/ML platforms. Define and implement best practices for machine learning infrastructure, ensuring scalability, performance, and security. Collaborate closely with data scientists and DevOps teams to optimize the ML lifecycle from model training to deployment. Establish and enforce standards for platform automation, monitoring, and operational efficiency. Serve as the primary liaison between engineering teams, product teams, and leadership. Mentor and develop junior engineers, providing technical guidance and performance feedback. Stay abreast of the latest advancements in AI/ML infrastructure and integrate new technologies where applicable. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in AI/ML platform development and infrastructure. Proven experience in leading engineering teams and driving large-scale projects. Extensive expertise in cloud infrastructure (AWS, GCP, Azure), MLOps tools (e.g., Kubeflow, MLflow), and infrastructure as code (Terraform) Strong programming skills in Python and Node.js , with a proven track record of building scalable and maintainable systems that support AI/ML workflows. Hands-on experience with monitoring and observability tools, such as Datadog, to ensure platform reliability and performance. Strong leadership and communication skills with the ability to influence cross-functional teams. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Position: Senior AI/ML Engineer GCP Location: Hyderabad/Bangalore/Pune Work Mode: Hybrid About the Company: Relanto is a global advisory, consulting, and technology services partner, empowering customers to accelerate innovation by harnessing the power of Data and AI, Automation, NextGen Planning, and Cloud Solutions. Overview: We're seeking an experienced individual (5-10 years) specializing in AI/ML to build and deploy cloud-based machine learning solutions. You'll work with Google Cloud Platform services to create scalable AI systems and APIs that integrate with various ML models. What You'll Do: Design and implement end-to-end ML pipelines in GCP Build and optimize AI models for production deployment using Vertex AI Develop RESTful APIs for ML model serving Implement vector search capabilities using BigQuery ML Create automated testing and deployment pipelines for ML models Set up model monitoring and performance tracking Optimize model inference and serving capabilities Must Have Skills: Strong Python programming with ML frameworks (PyTorch, TensorFlow) Experience with large language models and prompt engineering Proficiency in GCP AI services (Vertex AI, Cloud ML Engine) Vector search implementation (BigQuery ML, Matching Engine) RESTful API development with FastAPI/Flask Container orchestration with Docker and Google Kubernetes Engine (GKE) CI/CD pipeline experience for ML workflows Why Join Us: Competitive salary and benefits. Opportunities for professional growth and development. Collaborative and inclusive work culture. Flexible working arrangements for work-life balance. Exposure to innovative data analytics and visualization projects.

Power Automate and Power Apps Developer We are seeking a talented Power Automate and Power Apps Developer with 7+ years of experience to join our team and contribute to the development of innovative and efficient business applications. The ideal candidate will have a strong understanding of low-code development and be passionate about creating solutions that drive business value. Responsibilities : - Design, develop, and deploy custom Power Apps applications to automate business processes. Create and configure Power Automate flows to automate tasks across various applications and services. Integrate Power Apps and Power Automate with other systems and data sources. Optimize application performance and user experience. Collaborate with business users to understand their requirements and translate them into effective solutions. Stay up to date with the latest Power Platform features and best practices. Qualifications : - Strong experience with Power Automate and Power Apps development. Knowledge of low-code development principles and methodologies.

Power Automate and Power Apps Developer We are seeking a talented Power Automate and Power Apps Developer with 7+ years of experience to join our team and contribute to the development of innovative and efficient business applications. The ideal candidate will have a strong understanding of low-code development and be passionate about creating solutions that drive business value. Responsibilities : - Design, develop, and deploy custom Power Apps applications to automate business processes. Create and configure Power Automate flows to automate tasks across various applications and services. Integrate Power Apps and Power Automate with other systems and data sources. Optimize application performance and user experience. Collaborate with business users to understand their requirements and translate them into effective solutions. Stay up to date with the latest Power Platform features and best practices. Qualifications : - Strong experience with Power Automate and Power Apps development. Knowledge of low-code development principles and methodologies.

Power Automate and Power Apps Developer We are seeking a talented Power Automate and Power Apps Developer with 7+ years of experience to join our team and contribute to the development of innovative and efficient business applications. The ideal candidate will have a strong understanding of low-code development and be passionate about creating solutions that drive business value. Responsibilities : - Design, develop, and deploy custom Power Apps applications to automate business processes. Create and configure Power Automate flows to automate tasks across various applications and services. Integrate Power Apps and Power Automate with other systems and data sources. Optimize application performance and user experience. Collaborate with business users to understand their requirements and translate them into effective solutions. Stay up to date with the latest Power Platform features and best practices. Qualifications : - Strong experience with Power Automate and Power Apps development. Knowledge of low-code development principles and methodologies.

Power Automate and Power Apps Developer We are seeking a talented Power Automate and Power Apps Developer with 7+ years of experience to join our team and contribute to the development of innovative and efficient business applications. The ideal candidate will have a strong understanding of low-code development and be passionate about creating solutions that drive business value. Responsibilities : - Design, develop, and deploy custom Power Apps applications to automate business processes. Create and configure Power Automate flows to automate tasks across various applications and services. Integrate Power Apps and Power Automate with other systems and data sources. Optimize application performance and user experience. Collaborate with business users to understand their requirements and translate them into effective solutions. Stay up to date with the latest Power Platform features and best practices. Qualifications : - Strong experience with Power Automate and Power Apps development. Knowledge of low-code development principles and methodologies.

frameworksThe Opportunity: (Brief Overview of the Role) We are seeking a talented ML Ops engineer to join our team and play a key role in deploying, managing and optimizing machine learning models in production. The ideal candidate will have a strong background in machine learning and software engineering, with experience in DevOps practices and cloud computing. Roles & Responsibilities: Collaborate with data scientists and software engineers to deploy machine learning models into production environments. Design and implement scalable and reliable ML pipelines for model training, evaluation, and deployment. Develop and maintain infrastructure automation scripts for provisioning, configuration, and orchestration using platforms such as Resource Manager (ARM) templates, Automation, PowerShell, or other relevant tools. Optimize ML pipelines for efficiency, scalability, and cost-effectiveness Monitor, optimize, and troubleshoot Azure/AWS resources and services to ensure high availability, reliability, and performance of cloud-based applications and systems. Implement security policies, access controls, and encryption protocols to safeguard Azure/AWS environments and data, adhering to compliance and governance requirements. Collaborate with development teams to streamline the continuous integration and continuous deployment (CI/CD) process in Azure/AWS DevOps or similar tools for efficient application delivery. Provide expertise and support in areas such as Azure/AWS cost management, capacity planning, scalability, and disaster recovery strategies. Participate in the evaluation of new Azure/AWS offerings, technologies, and services to drive innovation and improve the overall cloud environment. Qualifications What you will need to succeed in the role: (Minimum Qualification and Skills Required) Bachelor's degree in Computer Science, Information Technology, or a related field; relevant certifications such as Microsoft Certified: Azure Administrator Associate or Microsoft Certified: Azure Solutions Architect Expert preferred. Strong proficiency in Python programming and familiarity with machine learning frameworks such as TensorFlow or Pytorch. Proficiency in implementing and managing security, identity, and access management solutions, leveraging Active Directory, Security Center, and other related tools. Hands-on experience with scripting and automation using tools such as Azure Resource Manager templates, PowerShell, Ansible, or other relevant technologies. Strong understanding of networking concepts and experience in configuring and troubleshooting Azure/AWS Virtual Networks, VPN gateways, and ExpressRoute. Familiarity with cloud-native monitoring, logging, and alerting tools such as Monitor, Log Analytics, Application Insights, and their integration with respective cloud services and applications. Knowledge of best practices in Azure/AWS DevOps, CI/CD pipelines, and experience working in an agile development environment. Excellent troubleshooting skills, with the ability to analyze complex issues in cloud environments and provide scalable solutions. Strong communication and collaboration skills, with the ability to work effectively in a team- oriented, fast-paced environment.