44 Ml Flow Jobs

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

As a Technology Lead at our company, your role will involve leading our Artificial Intelligence (AI) initiatives. You will be responsible for defining and driving the AI strategy, roadmap, and capabilities aligned with our business goals. It will be crucial for you to stay updated on emerging AI technologies and trends to guide innovation. Additionally, you will build and lead a high-performing AI team, including Data Scientists, Data Engineers, and ML engineers. Key Responsibilities: - Define and drive the AI strategy, roadmap, and capabilities aligned with business goals. - Stay abreast of emerging AI technologies and trends to guide innovation. - Build and lead a high-performing AI team, ...

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL global...

Job Description We are looking for a Senior MLOps Engineer to join our team. This role is a dedicated MLOps position with a strong focus on operational responsibilities . The MLOps Engineer will be primarily responsible for operationalizing machine learning solutions , managing infrastructure monitoring , ensuring observability , and maintaining robust CI/CD pipelines . In this role, you will work closely with software engineers, data scientists, and DevOps teams to build and scale the core MLOps infrastructure that powers AI initiatives across the organization. Your responsibilities will include managing CI/CD pipelines, enhancing observability, maintaining infrastructure, and ensuring seam...

Role Overview We are seeking a Lead Gen AI Engineer with proven experience in building and deploying Generative AI and scaled ML systems. The role involves end-to-end ownership of AI solutions from model selection, fine-tuning, and pipeline design to deployment on cloud ML platforms (AWS Sage Maker). The candidate should be able to architect multi-agent frameworks and MCP pipelines, integrate them into enterprise systems, and drive scalable, production-grade AI solutions. In addition to strong engineering skills, this role requires mentoring junior engineers, leading PoCs, and collaborating with product and research teams to shape the GenAI roadmap. Key Responsibilities Solution Architecture...

Design, build, and deploy end-to-end machine learning solutions across structured (tabular) medical datasets and unstructured/non-tabular data (text, images, OCR, signals). Apply advanced ML, deep learning, and LLM-based approaches to solve real-world healthcare/medical challenges. Collaborate with cross-functional teams (engineering, product, domain experts) to translate business requirements into scalable data science solutions. Drive MLOps best practices: experiment tracking, model versioning, CI/CD, monitoring, and automated retraining pipelines. Ensure production-grade robustness using Test-Driven Development (TDD) and OOP principles in ML pipelines. Contribute to architecture discussio...

Design, build, and deploy ML and GenAI solutions across multiple use cases (e.g., LLM-based search, document summarization, predictive modeling). Develop and maintain ML pipelines using MLflow, Databricks, and AWS Sagemaker. Implement APIs and microservices for AI model inference using FastAPI and containerization strategies. Work with large structured and unstructured datasets (CSV, JSON, PDFs, EMRs, clinical reports). Optimize data processing using PySpark, SQL, and RDS (AWS). Integrate foundation models and LLMs (e.g., OpenAI, Cohere, Claude, AWS Bedrock) into production workflows. Monitor, retrain, and maintain models in production, ensuring high availability, reliability, and performanc...

As an Ops Engineer at Gainwell, you will play a crucial role in the AI/ML team by developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning models and Large Language Models (LLMs). Your responsibilities will include collaborating closely with Data Scientists and DevOps to ensure smooth model lifecycle management, performance monitoring, version control, and compliance. You will have core responsibilities for LLM Ops and ML Ops: **Key Responsibilities:** **Core LLM Ops Responsibilities:** - Develop and manage scalable deployment strategies tailored for LLMs (GPT, Llama, Claude, etc.). - Optimize LLM inference performance, including model parallelization...

Job Title:Immediate Data Scientist (3+ Years Experience) Bengaluru Location:Bengaluru (Work from Office Minimum 4 Days/Week) Employment Type:Full-time (Third-Party Payroll, Not Contractual) Experience Required:3+ years in AI/ML Educational Qualifications: o B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field. o A master's degree in computer science, Artificial Intelligence, or a specialisation in Deep Learning or Computer Vision is highly preferred. Experience: o 46 years of IT experience, with a minimum of 3+ years in data science o Proven experience in designing and deploying deep learning models, particularly in computer visi...

Hiring for IT - 72 - ML (Machine Learning) Engineer - 5+ Years - PAN INDIA Title: IT - 72 - ML (Machine Learning) Engineer - 5+ Years - PAN INDIA Quick Apply: https://mechispike.com/quickapplication/ Job Title: ML (Machine Learning) Engineer Location: PAN INDIA Experience: 5+ Years Notice period: 0-30 Days OR Immediate Must have skills: Machine Learning, ML Flow, Azure ML, Python, AKS, CI/CD, ML Workflow, API's Job Description Package and deploy ML models using Azure ML pipelines. Automate retraining and versioning workflows. Build and maintain model scoring APIs and batch inference jobs. Monitor performance and drift in deployed models. Implement CI/CD for ML (MLOps). Key Skills and Technol...

MLOps / ML Architect 01 starts August 14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI Hands on experience of the following – Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated Ensure the consistency of feature data between offline training and online operations Govern data in a feature store and promote collaboration between teams with a feature store Implement MLOps principles of automated testing, versioning, and monitoring of features and models. The modeling skills required for ML: How to train ML models from (time-series) tabular data in a feature store How to personaliz...

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL global...

Job Description Develop and deliver robust machine learning solutions addressing diverse business challenges (forecasting, classification, optimization, automation) on the Azure Databricks platform. Own the full ML lifecycle: model development, deployment, monitoring, and retraining supported by standardized infrastructure and DevOps practices. Apply strong mathematical and problem-solving skills to translate complex business requirements into effective ML models. Collaborate with Product Owners, data engineers, DevOps, and architecture teams to build scalable, maintainable, and governed ML pipelines. Demonstrate curiosity and an iterative mindset, exploring alternative modeling approaches t...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will le...

Location: Hyderabad Kindly send your resume to +91 93619 12009 Job Description: Primary Skills: AI and RAG AWS Python (advanced knowledge) FastAPI, FLASK MLFlow Secondary skills: AWS EKS/ ECS Unit and functional test Terraform, Jenkins Soft skills (communication, collaboration etc.) Mandatory Skills AI and RAG AWS Python (advanced knowledge) FastAPI, FLASK MLFlow Good to have skills AWS EKS/ ECS Unit and functional test Terraform, Jenkins Soft skills (communication, collaboration etc.)

Job Title: Senior Data Engineer Basic Function The Senior Data Engineer should be an expert familiar with all areas of data warehousing technical components (e.g., ETL, Reporting, Data Model), connected infrastructure, and their integrations. The ideal candidate will be responsible for developing the overall architecture and high-level design of the data schema environment. The candidate must have extensive experience with Star Schemas, Dimensional Models, and Data Marts. The individual is expected to build efficient, flexible, extensible, and scalable ETL design and mappings. Excellent written and verbal communication skills are required as the candidate will work very closely with diverse ...

Sr. Executive / Assistant Manager Data Scientist Godrej Agrovet Mumbai, Maharashtra, India ------------------------------------------------------------------------------------------------------------- Job Title: Sr. Executive / Assistant Manager Data Scientist Job Type: Permanent, Full-time Function: Digital Business: Godrej Agrovet Location: Mumbai, Maharashtra, India About Godrej Industries Group : GIG is a holding company of the Godrej Group. We have significant interests in consumer goods, real estate, agriculture, chemicals, and financial services through our subsidiary and associate companies, across 18 countries. https://www.godrejindustries.com/ About Godrej Agrovet: Godrej Agrovet L...

You will be a key member of the Data + AI Pipeline team, leading to the integration of Kubeflow, Kubernetes, Docker, Keda, and Python technologies. Your role will involve developing and maintaining AI pipelines that support various projects, ensuring seamless and efficient data processing, model training, and deployment. As part of a dynamic and interdisciplinary team, you will collaborate with experts in data engineering, AI, and software development to create robust and scalable solutions. Job Description • We are seeking a motivated and experienced Data + AI Pipeline Engineer to lead the development and maintenance of our KION Machine Vision AI pipeline infrastructure. • As a Data + AI Pi...

Exciting opportunity for an ML Platform Specialist to join a leading technology-driven firm. You will be designing, deploying, and maintaining scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices. Location: Gurugram (Hybrid) Your Future Employer Our client is a leading digital transformation partner driving innovation across industries. With a strong focus on data-driven solutions and cutting-edge technologies, they are committed to fostering a collaborative and growth-focused environment. Responsibilities Designing and implementing scalable ML infrastructure on Databricks Lakehouse Building CI/CD pipelines and workflows for machine...

Job Description We are seeking a Senior MLOps Engineer .In this role, you will collaborate across software engineering, machine learning, and DevOps to design, develop, and scale the core infrastructure that enables and supports AI initiatives throughout the organization. This position requires deep expertise in productionize/operationalize ML models. Key Responsibilities Design, develop, and maintain end-to-end MLOps pipelines to automate the machine learning lifecycle from training to deployment and monitoring. Collaborate with data scientists, ML engineers, and platform teams to operationalize ML models across cloud and hybrid environments. Build and manage containerized environments for ...

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead applied research in LLMs, generative AI, and multimodal models Evaluate and experime...

Design, develop, deploy ML models for real-world applications Implement, optimize ML pipelines using PySpark & MLflow Structured/ unstructured data using Pandas, NumPy Train models using scikit-learn, TensorFlow, PyTorch. Integrate LLMs Required Candidate profile Strong in Python, ML algorithms, model development, evaluation techniques Exp in PySpark model lifecycle management, MLflow Pandas, NumPy, and Scikit-learn, LLMs (OpenAI, Hugging Face Transformers)

You should have hands-on experience with cloud platforms such as AWS, Azure, and GCP, including VPC, Load balancer, VM, SQL, and Storage. Additionally, familiarity with Configuration Management tools like Puppet, Ansible, Chef, and Terraform is required. It is essential to have proven experience as a DevOps or MLOps Engineer, focusing on machine learning deployments. Strong proficiency in scripting languages like Python and Bash, knowledge of the Linux operating system, and familiarity with CI/CD tools such as Jenkins are necessary. Hands-on experience with containerization and orchestration tools like Docker and Kubernetes is also expected. Excellent problem-solving and communication skills...