7001 Mlflow Jobs - Page 31

As an Azure Databricks with Pyspark professional, your role involves: - Designing, building, and deploying data pipelines and workflows using Databricks. - Developing and optimizing Apache Spark applications for data processing and analytics. - Integrating Databricks with various data sources and platforms. - Implementing data quality checks and monitoring processes. - Managing and configuring the Databricks environment, including clusters and notebooks. - Troubleshooting and resolving issues related to Databricks performance and functionality. - Collaborating with data scientists and analysts to implement machine learning models. - Staying up-to-date with the latest Databricks features and ...

Company Description About Brainwonders Brainwonders is India’s leading career counselling and brain mapping company, helping individuals discover their true potential through DMIT (Dermatoglyphics Multiple Intelligence Test), psychometric assessments, and career guidance. Join us in empowering the future of education and career decision-making. Key highlights! Have a U.S Patent for DMIT (genetic intelligence report) 108 Branches across the country Successfully counselled over 1.2 million students Connected to 2000+ schools pan India Job Description Data Scientist (Fresher – 1 Year Experience) — Job Description About The Role We are looking for a junior Data Scientist who is passionate about ...

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Apple Pay brought mobile payment to millions of customer...

Join the AI and Data Platforms team at Apple, where we build and manage cloud-based data platforms handling petabytes of data at scale. We are looking for a passionate and independent Software Engineer specializing in reliability engineering for data platforms, with a strong understanding of data and ML systems. If you thrive in a fast-paced environment, love crafting solutions that don't yet exist, and possess excellent communication skills to collaborate across diverse teams, we invite you to contribute to Apple’s high standards in an exciting and dynamic setting. Description As part of our team, you will be responsible for developing and operating our big data platform using open source o...

HOW MIGHT YOU DEFY IMAGINATION? If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Live | What you will do Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams. Assist in data preparation, exploratory analysis, metric tracking, and performance reporti...

Join Apple’s Data Management Team and Shape the Future of Reliable Data in the Manufacturing Space! At Apple, we believe that great decisions start with great data. Our Data Quality team within Operations is looking for a Machine Learning Engineer with Software Engineering background to help ensure the integrity, accuracy, and reliability of mission-critical data. In this role, you will design and build scalable ML-driven solutions for data validation, anomaly detection, and quality monitoring-helping Apple’s global operations run with precision and confidence. If you're passionate about applying cutting-edge machine learning to solve real-world data challenges at scale, come join us in push...

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale...

P-1347 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratc...

Role Description Role Proficiency: Act under guidance of Lead II/Architect understands customer requirements and translate them into design of new DevOps (CI/CD) components. Capable of managing at least 1 Agile Team Outcomes: Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications Adapts existing DevOps solutions and creates own DevOps solutions for new contexts Codes debugs tests documents and communicates DevOps development stages/status of DevOps develop/support issues Select appropriate technical options for development such as reusing improving or reconfiguration of existing components Optimises efficiency cost and quality of Dev...

P-1347 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratc...

You have been working as a data scientist for at least 4 years and have a total of 7 years of experience. You must have a minimum of 2 years of experience in Azure Cloud using Databricks Services, PySpark, Natural Language API, and MLflow. Additionally, you should have experience in designing and building statistical forecasting models, ingesting data from APIs and databases, data transformation using PySpark and SQL, and designing and building machine learning models. It is important that you have expertise in designing and building optimization models, as well as skills in statistical data analysis. You should be able to articulate and translate business questions and use statistical techn...

Job Title: Lead Consultant - Product Data Engineer Grade: E Introduction to role Are you ready to reinvent an industry and change lives? As a Lead Consultant - Product Data Engineer, you'll play a pivotal role in redefining our ability to develop life-changing medicines. You'll lead the design, development, testing, deployment, and operations for data, advanced analytics, and AI products supporting the US BioPharmaceutical Business Unit. This position demands technical leadership, collaboration with platform engineering teams, and interaction with IT business partners to align business strategy with technical solutions. You'll be at the forefront of innovation, guiding technical teams with t...

As a Machine Learning Engineer at Tecblic, you will be an integral part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your passion for LLMs, Computer Vision, MLOps, and Agentic AI will drive you to excel in the following responsibilities: - **Research and Development:** Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - **Model Optimization:** Fine-tune and optimize pre-trained models to ensure performance, scalability, and minimal latency. - **Computer Vision:** Build and deploy vision models for object detection, classification, OCR, and segmentation. - **I...

As a Lead Software Engineer specializing in ML Ops and System Engineering, you will play a crucial role in designing, building, and scaling high-performance infrastructure. Your expertise in ML Ops, distributed systems, and platform engineering will be instrumental in leading initiatives across software engineering, system reliability, and machine learning operations to deliver robust, production-ready solutions. Key Responsibilities: - Design and develop scalable, secure, and reliable microservices using Golang and Python. - Build and maintain containerized environments using Docker and orchestrate them with Kubernetes. - Implement CI/CD pipelines with Jenkins for automated testing, deploym...

As a MLOps Engineering Manager, you will play a crucial role in overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. Your responsibilities will include continuously monitoring Databricks clusters for high workloads or excessive usage costs, alerting relevant stakeholders promptly to address issues impacting overall cluster health, and implementing and managing security protocols to safeguard sensitive information in adherence with Mastercard standards. You will also facilitate the integration of various data sources into Databricks, ensuring seamless data flow and consistency, and identifying and resolving issues related to Databricks infrastru...

You are being offered the role of Lead Data Scientist (Generative AI) at Blend, a premier AI services provider, dedicated to creating impactful solutions for clients through the fusion of data science, AI, technology, and human expertise. As a Lead Data Scientist (Generative AI) at Blend, your role will involve spearheading the development of advanced AI-powered classification and matching systems on Databricks. You will be actively contributing to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. **Key Responsibilities:** - Design and implement end-to-e...

As a Gen AI QA Engineering Lead at Barclays, you play a crucial role in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions. You will lead QA efforts across multiple AI PODs, collaborating with various teams to build robust testing frameworks and automation pipelines. Your key responsibilities include: - Designing and implementing QA frameworks for GenAI models, focusing on prompt validation, output consistency, hallucination detection, and bias mitigation. - Building automated test suites for GenAI pipelines using Python, PyTest, and tools like MLflow, SageMaker, or similar. - Integrating QA checks into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Gi...

JD: AI/ML Python Engineer – RAG & LLM Systems Location: Pune (On-Site) Experience: 4+ years Job Description We are looking for a highly skilled AI/ML Python Engineer with hands-on experience in LLMs (Llama), RAG pipelines, vector databases, and backend API development. The ideal candidate is strong in Python, machine learning workflows, embeddings, and scalable backend architecture, with the ability to build reliable AI-driven applications end-to-end. Key Responsibilities AI/ML Development & Optimization Build and integrate GenAI and classical ML models using LangChain, LlamaIndex, Scikit-learn, TensorFlow, PyTorch . Optimize models via hyperparameter tuning, cross-validation , and monitor p...

As an AI/ML Engineer at our company, you will be responsible for the following: - Building and fine-tuning models for NLP, computer vision, predictions, and more. - Engineering intelligent pipelines that are used in production. - Collaborating across teams to bring AI solutions to life (not just in Jupyter Notebooks). - Embracing MLOps with tools like MLflow, Docker, and Kubernetes. - Staying on the AI cutting edge and sharing what you learn; a mentorship mindset is a big plus. - Championing code quality and contributing to a future-focused dev culture. Qualifications required for this role include: - 3-4 years of experience in hardcore AI/ML or applied data science. - Pro-level Python skill...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Location : Bangalore or Pune What You'll Build We are seeking a senior AI specialist to design, develop, and deploy AI/ML and Generative AI solutions integrated with SAP systems. This role combines AI ...

Grid Dynamics wants to build a centralized, observable and secure platform for their ML, Computer Vision, LLM and SLM models. Grid Dynamics wants to onboard a vast number of AI agents, able to cover multiple required skills, ensuring a certain level of control and security in regards to their usage and availability. The observable platform must be vendor-agnostic, easy to extend to multiple type of AI applications and flexible in terms of technologies, frameworks and data types. This project is focused on establishing a centralized LLMOps capability where every ML, CV, AI-enabled application is monitored, observed, secured and provides logs of every activity. The solution consists of key bui...

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI models and algorithms to solve business problems. Your key responsibilities will include: - Working with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. - Training, testing, and validating models using large datasets. - Integrating AI solutions into existing products and applications. - Collaborating with data scientists, software engineers, and product teams to build scalable AI solutions. - Monitoring model performance and continuously improving accuracy and efficiency. - Staying updated with the latest AI trends, tools, and best practices. - Ensuring AI models are ethical, unbi...

Role : Senior Data Scientist Location : Chennai (Work From Office Monday to Friday) Timings : 1 : 00 PM 10 : 00 PM IST Experience : 511 years Notice Period : Immediate to 15 days Or Serving notice period About The Role We are looking for a Senior Data Scientist to join our high-performing team. In this role, you will lead end-to-end data science projects, build advanced ML models, and collaborate closely with business, engineering, and product teams to drive impactful solutions. Key Responsibilities Lead data science projects from problem definition to deployment. Build predictive models and optimization solutions for business problems. Communicate insights effectively to stakeholders. Drive...

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your r...

What You Should Bring Strong Python engineering background; comfortable building production-quality code. Hands-on experience with Databricks (workflows, Delta Live Tables, Unity Catalog, MLflow, Model Serving). Experience building AI chatbots, RAG pipelines, vector search, embedding stores, and private LLM deployments. Understanding of architectural patterns for secure deployment in financial institutions. Ability to independently take vague business problems and convert them into concrete AI products. Comfortable demoing your work to senior stakeholders. What You’ll Do Build AI-driven internal applications using Databricks (Python, MLflow, Unity Catalog, Model Serving). Design, fine-tune, ...