6966 Mlflow Jobs - Page 5

A result- oriented thought-leader to drive the development of the data engineering practice A trusted advisor and business partner to customers across verticals, and consulting team leader who establishes engineering processes and skill development. Technology Skills (any Of Below): Data engineering: analytical data platforms, streaming, big data, EDW, data lakes, data governance, data mesh, Spark, Kafka, Snowflake, (2 from below: AWS, GCP, Azure) Transactional databases: Redis, Cassandra, MongoDB, (2 from below: AWS, GCP, Azure) ML and MLOps: VertexAI, Sagemaker, Dataiku, Databricks, mlflow Responsibilities Responsibilities: Trusted Advisor: Provide direction to clients in different vertica...

A result- oriented thought-leader to drive the development of the data engineering practice A trusted advisor and business partner to customers across verticals, and consulting team leader who establishes engineering processes and skill development. Technology Skills (any Of Below): Data engineering: analytical data platforms, streaming, big data, EDW, data lakes, data governance, data mesh, Spark, Kafka, Snowflake, (2 from below: AWS, GCP, Azure) Transactional databases: Redis, Cassandra, MongoDB, (2 from below: AWS, GCP, Azure) ML and MLOps: VertexAI, Sagemaker, Dataiku, Databricks, mlflow Responsibilities Responsibilities: Trusted Advisor: Provide direction to clients in different vertica...

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge We are l...

Job Description: Responsibilities: Develop & Optimize Data Pipelines Build, test, and maintain ETL/ELT data pipelines using Azure Databricks & Apache Spark (PySpark). Optimize performance and cost-efficiency of Spark jobs. Ensure data quality through validation, monitoring, and alerting mechanisms. Understand cluster types, configuration, and use-case for serverless Implement Unity Catalog for Data Governance Design and enforce access control policies using Unity Catalog. Manage data lineage, auditing, and metadata governance. Enable secure data sharing across teams and external stakeholders. Integrate with Cloud Data Platforms Work with Azure Data Lake Storage / Azure Blob Storage/ Azure Ev...

As the Lead Engineer at Biz2X, you will be responsible for spearheading the development and implementation of cutting-edge AI solutions within fintech products. Your main responsibilities will include overseeing a team of engineers, managing MLOps pipelines, and optimizing large language models (LLMs) to elevate the quality of financial technology services. Key Responsibilities: - Design and execute sophisticated ML models for various applications like fraud detection, credit scoring, and algorithmic trading. - Create and maintain MLOps pipelines utilizing tools such as MLflow, Kubeflow, and Airflow to facilitate continuous integration/continuous deployment (CI/CD), model monitoring, and aut...

In this role as an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will be instrumental in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will involve designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to internal innova...

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...

Position: Machine Learning Engineer (India) Type: Hourly contract Compensation: $14/hour Location: Remote Commitment: Flexible, project-based Role Responsibilities Design, train, and deploy scalable machine learning systems supporting autonomous AI agents. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making tasks. Develop end-to-end ML pipelines covering data preprocessing, feature extraction, training, evaluation, and deployment. Implement reinforcement learning workflows and self-improving training loops to enhance agent adaptability. Create benchmarking and evaluation tools to measure model accuracy, reasoning ability, and performance. C...

About Us Senior / Expert Databricks Solutions Architect Job Description At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. About The Role We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collabor...

Job Summary: Client is looking for Data Scientist, and this is remote position from India. Responsibilities: Collaborate with cross-functional teams to identify business problems and translate them into actionable data science projects. Perform data exploration, cleaning, feature engineering, and model selection for optimal performance, leveraging the capabilities of Azure Databricks for large-scale data processing. Support production deployed ML models and AI applications Translate natural language queries into SQL statements for data retrieval. Extract and categorize entities from text data. Continuously monitor, evaluate, and tune model performance, identify areas for improvement, and ite...

Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable, and safe Superintelligence. Most of our work involves creating new methodologies for efficient alignment, interpretability-led strategies and foundational model research across enterprise and tabular data. Our mission is to build AI systems that are powerful, transparent, and trustworthy by design. Our team thrives on deep technical rigor, hands-on ownership, and a strong bias toward building real systems that work in production. At Lexsi.ai, we operate with a flat structure and a culture that values curiosity, initiative, and clarity over noise. As a Developer Advocate at Lexsi.ai, you will be the te...

Adjunct Faculty MLOps & Model Deployment Program: B.Tech. (Hons.) Data Science Semester: 6 Vidyashilp University is looking for Adjunct Faculty to teach the MLOps & Model Deployment course for the B.Tech. (Hons.) Data Science program (Semester 6). Brief Job Description We are seeking a technically strong faculty/instructor to teach and mentor undergraduate students in MLOps and production-grade machine learning systems. In addition to strong teaching skills, the candidate should possess hands-on practical experience in the following areas: Key Responsibilities & Skills Teach end-to-end MLOps workflows including data versioning, experiment tracking, model deployment, monitoring and CI/CD Inte...

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designin...

Position Summary The Technical Lead – Databricks Lakehouse Migration & Integration will play a pivotal role in enabling our pharmaceutical and life sciences clients to modernize their data platforms. This role involves leading the migration of complex clinical, regulatory, and commercial datasets into the Databricks Lakehouse environment, ensuring compliance with industry standards such as GxP, HIPAA, and GDPR. The incumbent will provide technical leadership, oversee integration strategies, and deliver scalable, secure, and compliant data solutions that support commercial operations, drug development and clinical trials. Job Responsibilities Migration & Integration Lead the migration of lega...

Job Responsibilities: - Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience – design, deploy, operate, and maintain scalable and efficient automated machine learning systems. Monitor and improve performance while accounting for information security, access, model governance, data & model drift, etc. Job Requirements: - Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming language...

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data engineering expertise in a cutting-edge field. You’ll work alongside collaborative and innovative teammates. You'll play a key role in enabling data-driven decision-making across the organization by ensuring data availability,...

Talentica Software, started by industry veterans and ex- IITB grads, is a product engineering company that helps tech-native enterprises and startups turn their ideas into market-leading products. We deliver innovative, high-quality products at an accelerated pace by combining the product mindset of our human experts with the power of AI. Over the last 22 years, the company has worked with over 200+ startups, with most clients based in the US, ensuring many successful exits. In 2022, Great Place to Work® recognized Talentica Software as India's Great Mid-Size Workplace What we're looking for? We are seeking a hands-on DevOps Architect who can design, build, and scale modern cloud infrastruct...

NetSPI® pioneered Penetration Testing as a Service (PTaaS) and leads the industry in modern pentesting. Combining world-class security professionals with AI and automation, NetSPI delivers clarity, speed, and scale across 50+ pentest types, attack surface management, and vulnerability prioritization. The NetSPI platform streamlines workflows and accelerates remediation, enabling our experts to focus on deep dive testing that uncovers vulnerabilities others miss. Trusted by the top 10 U.S. banks and Fortune 500 companies worldwide, NetSPI has been driving security innovation since 2001. NetSPI is on an exciting growth journey as we disrupt and improve the proactive security market. We are loo...

We are seeking a Machine Learning & Deep Learning Lead/Architect to design and operationalize scalable ML/DL solutions using open-source AI frameworks and Oracle Cloud Infrastructure (OCI). In this role, you will define end-to-end architecture for model development and production deployment, building robust MLOps pipelines for training, automated release, monitoring, governance, and continuous improvement. You will leverage OCI Data Science, OCI AI Services, OCI Object Storage, and GPU instances to deliver cost-effective, secure, and high-performing ML workloads, while integrating tools such as MLflow, Kubeflow, and Airflow for reproducibility, versioning, and CI/CD. You will partner closely...

Bangalore, Karnataka, India;Hyderabad, Telangana, India;Indore, Madhya Pradesh, India;Pune, Maharashtra, India;Noida, Uttar Pradesh, India Qualification : Role: ML & GenAI Lead Experience: 8–12+ years Role Overview The ML & GenAI Lead will be responsible for designing, leading, and delivering end-to-end Machine Learning and Generative AI solutions, with a strong focus on LLMs, Agentic AI frameworks, and production-grade ML systems. This role involves technical leadership, solution architecture, and close collaboration with business and engineering stakeholders. Key Responsibilities Lead the design and implementation of ML and GenAI solutions aligned with business use cases. Architect and del...

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Des...

Strong programming skills in Python (and/or Java/Go) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Hands-on experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) Experience with containerization and orchestration (Docker, Kubernetes) Knowledge of cloud platforms (AWS, GCP, or Azure) Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow, SageMaker) Understanding of software engineering best practices Experience with monitoring and logging tools (Prometheus, Grafana, ELK)

(P-1384) Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billi...

Role Overview We are looking for a hands-on Data Scientist / Machine Learning Engineer who can translate business problems into scalable data science and ML solutions. The role requires strong analytical thinking, solid ML fundamentals, and the ability to productionize models in real-world environments. You will work closely with product, engineering, and business stakeholders to build, deploy, and maintain data-driven solutions across forecasting, recommendation, classification, and anomaly detection use cases. Key Responsibilities Data Science & Modeling Understand business problems and convert them into ML problem statements Perform EDA, feature engineering, and feature selection Build an...

Role - ML Engineer Experience: 5-8 Years Locations: Bangalore / Pune / Mumbai / Mohali ( 5 Days - WFO ) Shift: 09:00 PM – 06:00 AM ( night shift ) CTC: Up to ₹20 LPA Notice Period: Immediate to serving NP Till 10 Jan ONLY Required Skills Strong programming skills in Python. Strong proficiency in SQL. Hands-on experience with scikit-learn, TensorFlow, PyTorch. Experience with LLMs, Generative AI, RAG, Prompt Engineering. Knowledge of OCR, Document Processing, Information Extraction, Computer Vision. Experience building conversational AI/chatbots. Experience deploying ML models into production. Familiarity with AWS / GCP / Azure and MLOps tools. Key Responsibilities Develop ML models for NLP, ...