5049 Mlflow Jobs - Page 25

Position: AI/ML Specialist – Sustainability, Health & Safety ERM is seeking skilled and motivated AI/ML professionals to join our India team as part of our global Digital Services business . In this role, you will contribute to developing AI accelerators, intelligent agents, and machine learning models that advance innovation in sustainability, health, and safety domains . At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of enterprise-scale syst...

Position: AI/ML Specialist – Sustainability, Health & Safety ERM is seeking skilled and motivated AI/ML professionals to join our India team as part of our global Digital Services business . In this role, you will contribute to developing AI accelerators, intelligent agents, and machine learning models that advance innovation in sustainability, health, and safety domains . At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of enterprise-scale syst...

Position: Senior AI/ML Specialist – Sustainability, Health & Safety ERM is Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability , health, and safety domains . The role involves guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of en...

Position: Senior AI/ML Specialist – Sustainability, Health & Safety ERM is Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability , health, and safety domains . The role involves guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. At ERM, we combine deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. Our Digital Services span the full information management lifecycle - from portfolio assessment, strategy, and technology evaluation to the design, testing, and implementation of en...

Job Title: Data Scientist – Agentic AI & MLOps Location: Bangalore - Hybrid (3 days work from office, 2 days from home) Experience - 4-8 Years About Us: Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection. Job Overview: We’re seeking a Senior Data Scientist to architect agentic AI solutions and own the full ML lifecycle, from proof-of-concept to production. You’ll operationalise LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationa...

Role Overview: As a GCP Architect at NTT DATA, you will lead the design and implementation of scalable, secure, and high-performance data solutions using Google Cloud Platform. Your responsibilities will include defining architectural standards, guiding engineering teams, and collaborating with stakeholders to align data strategies with business goals. Your primary focus will be on leveraging Google Analytics capabilities to build enterprise-grade data platforms supporting advanced analytics, machine learning, and real-time data processing. Key Responsibilities: - Develop and manage scalable cloud solutions using Google Cloud Platform (GCP) services, ensuring they meet performance and securi...

As an experienced AI Platform Engineer, your role will involve designing, developing, and maintaining a hybrid AI Platform across multi-cloud and on-premises environments. You will be responsible for building an AI platform that enables real-time machine learning and GenAI at scale, while also incorporating governance and security frameworks. Key Responsibilities: - Design and deliver a hybrid AI Platform. - Develop and maintain scalable, efficient, and reliable data and AI pipelines. - Collaborate with data scientists, data engineers, and central data governance team to align with a standardized data strategy. - Design and implement MLOps and LLMOps framework. - Implement automated pipeline...

As a member of the Gen AI Experiences team within Adobe Experience Platform, you will play a crucial role in building and scaling core AI and ML-powered services to enhance customer experiences across Adobe's digital experience products. By collaborating with AI scientists, data engineers, and product teams, you will bring Generative AI capabilities to life, from integrating large-scale models to developing intelligent data services and APIs for AI-driven marketing and content personalization. Your contributions will directly impact the experiences of thousands of enterprise customers using Adobe Experience Cloud. **Role Overview:** As an individual contributor with a strong technical backgr...

As a versatile and highly skilled Data Analyst / AI Engineer, you will have the opportunity to combine the strengths of a data scientist and an AI engineer. Your role will involve diving deep into data, extracting meaningful insights, and building and deploying cutting-edge Machine Learning, Deep Learning, and Generative AI models. You will be instrumental in transforming raw data into strategic assets and intelligent applications. **Key Responsibilities:** - **Data Analysis & Insight Generation:** - Perform in-depth Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets. - Clean, transform, and prepare data from various sources for analysis and model...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

You will be joining ERM as a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains. Your role will involve guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. ERM combines deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. The Digital Services offered by ERM span the full information management lifecycle, from portfolio assessment and strategy to technology evaluation, design, testing, and implementation of enterprise-scale systems and cutting-edge ...

As an ideal candidate for this role, you should have the ability to design and implement cloud solutions, and build MLOps pipelines on cloud solutions such as AWS, MS Azure, or GCP. You should also have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, as well as familiarity with Docker and Kubernetes, OpenShift. Your proficiency in programming languages like Python, Go, Ruby, or Bash, along with a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, will be beneficial for this role. Additionally, your ability to understand tools used by data scientists, and experience with software development and test automatio...

You are a seasoned Software Developer with 2-6 years of experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). In this role at Qualcomm India Private Limited, you will lead cutting-edge initiatives that integrate Machine Learning with semiconductor design to drive robust systems transforming chip development workflows. - Design and develop end-to-end ML-integrated EDA software platforms for scale, performance, and adaptability. - Guide and mentor a team of software engineers and ML practitioners, fostering innovation and engineering excellence. - Own and refine software development processes, embedding best practices and agility...

As a Software Developer specializing in Machine Learning for EDA Systems at Qualcomm India Private Limited, your primary responsibility will be to design and develop cutting-edge software platforms that integrate Machine Learning with semiconductor design processes. You will play a pivotal role in transforming chip development workflows by leading initiatives that drive innovation and engineering excellence. **Key Responsibilities:** - Design and develop ML-integrated EDA software platforms with a focus on scalability, performance, and adaptability. - Mentor and guide a team of software engineers and ML practitioners to foster innovation and excellence. - Refine software development processe...

As a Software Developer specializing in Machine Learning for Electronic Design Automation (EDA) Systems at Qualcomm India Private Limited, your role will involve designing, deploying, and scaling software platforms that integrate Machine Learning with semiconductor design. You will be at the forefront of cutting-edge initiatives that revolutionize chip development workflows. **Key Responsibilities:** - Design and develop ML-integrated EDA software platforms for scale, performance, and adaptability. - Mentor and guide a team of software engineers and ML practitioners to foster innovation and excellence. - Refine software development processes to embed best practices and agility across teams. ...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...

Role Overview: As a Life Sciences AI Solution Architect, you will be responsible for designing and architecting end-to-end AI/ML solutions for pharma/biotech use cases. You will apply MLOps methodologies for efficient model development, deployment, and monitoring, while leveraging Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI. Your role will involve developing and implementing Document AI and Generative AI solutions, ensuring seamless integration of AI solutions into cloud platforms, and delivering and maintaining production-grade ML systems with high scalability and reliability. Additionally, you will provide technical leadership and mentorship to AI/ML...

Role Overview: As a Senior Technical Architect specializing in Data Science & Agentic AI, you will play a crucial role in leading the end-to-end modeling lifecycle. Your main responsibilities will include problem framing, experiment design, production deployment, and monitoring. You will be tasked with setting up the technical architecture for ML/GenAI and agentic systems. While collaborating with DE/Platform teams, your primary focus will be on modeling excellence, MLOps, and AI solution architecture to impact business KPIs positively. Key Responsibilities: - Own the technical vision for data-science initiatives and translate ambiguous business goals into modellable problems, KPIs, and NFRs...

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Position Overview We are ...

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Principal Engineer This is a challenging role that will see you design and engineer software with the cu...

Job description Role : Generative AI Engineer Location - Bangalore Experience - 6+ Years Notice Period : Immediate joiner Core Responsibilities: ? Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. ? Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. ? Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. ? Optimize model latency and performance for real-time applications and large-scale deployment ? Architect scalable ML infrastructure for training, inference, and model serving ? Fine-tune Large Language Models (LLMs) and o...

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to delive...

Job Responsibilities Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, co...

Role Focus: Production ML Systems | GPU Orchestration | Inference at Scale What You'll Actually Do (Not Buzzwords) Infrastructure That Doesn't Break Design and maintain the backbone for training, fine-tuning, and deploying ML models that actually work in production Orchestrate GPU workloads on Kubernetes (EKS) with node autoscaling, intelligent bin-packing, and cost-aware scheduling (spot instances, preemptibles—you know the drill) Build CI/CD pipelines that handle ML code, data versioning, and model artifacts like a well-oiled machine (GitHub Actions, Argo Workflows, Terraform) Production ML, Not Science Projects Partner with Data Scientists and ML Engineers to turn Jupyter notebooks into p...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior MLOps / AIOps Platform Engineer to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Summary We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms. This critical role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise. The ideal candida...