5049 Mlflow Jobs - Page 14

Our Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do What You'll Do As a Senior Software Engineer, you will be a key contributor to Teradata Studio, a SQL IDE in Teradata's client tools portfolio. This role invol...

Quick Heal Technologies Ltd . is India's most trusted name in cybersecurity innovation. With a legacy of over 30 years, we've grown from a garage-born antivirus start-up to a globally respected, publicly listed cybersecurity product company with a market capitalization of INR 2,500 Cr and revenues approaching INR 400 Cr. Quick Heal has transformed from protecting individual users under the Quick Heal brand to safeguarding businesses of every size with our enterprise-grade Seqrite portfolio. Our mission - Innovate. Simplify. Secure. drives everything, we do. We are home to India's largest indigenous malware and threat research lab, and the creators of industry - first innovations like AntiFra...

Description Senior Data Scientist (Machine Learning Engineer) Role Overview We are seeking a highly skilled Senior Data Scientist / Machine Learning Engineer to design, build, and deploy advanced machine learning and generative AI solutions that drive business value. This role blends deep technical expertise with strategic thinking, requiring hands-on experience in data science, software engineering, and MLOps. Key Responsibilities Machine Learning & Data Science : Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering...

Job Description Experience Required: 8-10 years in IT, with a minimum of 8 years focused on AI/ML solutions architecture, development, and deployment. Key Responsibilities: Architect and design robust, large-scale AI/ML solutions across multiple domains, including Generative AI. Lead and oversee the complete machine learning lifecycle, encompassing data ingestion, feature engineering, model development, deployment, and continuous monitoring. Partner with business and technical stakeholders to translate requirements into scalable and efficient ML systems. Establish and enforce best practices, standards, and governance frameworks for ML pipelines, MLOps, and data platform management. Provide m...

One of our leading financial services client is expanding their AI vertical. They are looking for AI professionals who can design, build, and scale intelligent solutions for financial services applications such as risk scoring, fraud detection, and customer analytics. Depending on experience, you will either architect AI-driven systems end-to-end or develop, deploy, and monitor ML models within our production environment. Key Responsibilities For all levels: Design and implement scalable AI/ML solutions aligned with business objectives Translate business problems into measurable AI use cases Build and deploy models using modern ML frameworks and cloud services Good to Have - Ensure complianc...

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelor's or master's degree in computer science, Engineering, or a related field. Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data...

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milest...

Architect and implement scalable Azure Databricks solutions, including Data Lakehouse, Delta Lake, Structured Streaming, Unity Catalog, and Medallion Architecture. Design and manage advanced ETL/ELT pipelines utilizing PySpark, Databricks Workflows, Data Factory, and Azure Storage services. Lead ML engineering and MLOps implementation, leveraging MLflow for experiment tracking, model registry, versioning, deployment, and monitoring. Establish and enforce enterprise-grade data governance, security, lineage, and compliance using Unity Catalog, Azure AD, and cloud-native controls. Optimize Databricks clusters for performance, scalability, reliability, and cost-effectiveness in production enviro...

4–5 hands-on experience in machine learning or data science roles.2- Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow.3-Strong knowledge of traditional ML and deep learning, especially for sequence and NLP tasks.

Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry’s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers. To date, Eightfold AI has received more than $410 million in funding and a valuatio...

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. About Us: At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our so...

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. About Us: At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our so...

Title: DevOps & Data Engineer - ML Infrastructure & Analytics Salary: upto 100,000 per month, depending on experience and skills Working Days: Monday to Saturday Working Hours: 8:00 pm to 1:00 am IST Contract Duration: 3 months (with potential extension based on performance, project need) Location: Remote Description of Position: Design and implement the multi-tenant cloud infrastructure on AWS/GCP Build and maintain the data pipeline from integrations to Snowflake data warehouse Deploy and scale SLM instances across GPU-enabled infrastructure Implement MLOps pipelines for model training, deployment, and monitoring Ensure security, compliance, and data isolation across tenants Set up monitor...

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platfo...

Data AI/ML Scientist Location: Hyderabad (Work from Office) Experience: 17+ years relevant experience Education: BE / BTech / MCA mandatory; MTech/PhD in AI/ML, Statistics, or Applied Math preferred Role Overview We are seeking a highly skilled AI/ML Scientist to lead enterprise-grade AI/ML research and deployment. This role spans statistical modeling, classical ML, deep learning, and cutting-edge Generative AI to solve real-world challenges. Key Responsibilities Design, build, and deploy models across classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI . Build statistical reasoning models for forecasting, inference, and optimization. Conduct rigorous experimen...

Job Summary: Our client is building an AI Center of Excellence to standardize and scale AI/ML adoption across the enterprise. The Technical Capability Owner will define AI/ML architectures, tools, guardrails and persona-approved toolsets across AWS and Databricks to ship reliable ML and GenAI solutions. This role bridges AI, enterprise architecture, data science, security, and business teams - driving consistency, governance, and developer enablement. The successful candidate will shape the technical roadmap, establish reusable frameworks, guide platform adoption, and communicate effectively to audiences from engineering guilds to executives. Experience: 8–12+ years in data/ML platform engin...

Key Responsibilities Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational...

We are seeking a skilled MLFlow 3 Engineer to join our Data & AI Engineering team. The ideal candidate will have hands-on experience in managing the end-to-end lifecycle of machine learning models using MLFlow 3.x, along with expertise in Python, Databricks, PySpark, and Azure. The role is a cusp between ML Engineering and MLOPs. You will work closely with data scientists, ML engineers, and DevOps teams to operationalize ML workflows, ensuring scalability, reliability, and compliance.

Job Summary Lead customer analytics and personalization initiatives using Azure AI services and large-scale customer data platforms. Key Responsibilities Design and deploy machine learning models using Azure Machine Learning for customer segmentation, churn prediction, lifetime value estimation, and recommendation systems. Analyze historical customer data to uncover behavioral patterns and actionable insights. Build and optimize recommendation engines using collaborative, content-based, and hybrid approaches. Develop and evaluate targeted marketing campaigns using predictive analytics and personalization strategies. Operationalize ML workflows using Azure MLOps (CI/CD, model versioning, moni...

Job Summary We are seeking a skilled MLOps Engineer with hands-on experience in Databricks and CI/CD automation to support the deployment and operationalization of machine learning models. The ideal candidate should possess a strong understanding of AWS services , Jenkins , SonarQube , and Bitbucket , along with basic proficiency in Python and a good grasp of the ML lifecycle . Key Responsibilities Manage and support end-to-end MLOps workflows for model development, deployment, and monitoring. Work extensively on Databricks for building and managing ML pipelines, data workflows, and model execution. Design and maintain CI/CD pipelines using Jenkins to automate ML model deployments. Integrate...

Job Profile- Sr Data Scientist / AI ML Engineer Location- Pune (5 days WFO) Exp- 3-6 yrs A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred. A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable. 3-6 years of practical experience in data science, generative AI, machine learning, and analytics. Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous. Minimum 1 years of deep, hands-on expertise in NLP, LLMs, and Generative AI. Advanced Proficiency in Python is essential for data manipulation, statistica...

Industry & Sector: Enterprise AI / Cloud Data Platforms—focused on building scalable, production-grade machine-learning pipelines and data workflows for analytics and decisioning. We operate in a cloud-first environment supporting real-time model deployment, monitoring, and operational governance across AWS-powered infrastructures. Role & Responsibilities Design, build, and operate end-to-end MLOps pipelines on Databricks: data ingestion, model training, model registry, and production deployment. Author and maintain CI/CD pipelines for ML code and infrastructure using Jenkins, Bitbucket, and automation IaC patterns to enable repeatable, auditable releases. Integrate code-quality and security...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaborate with data scientists to collect and preprocess training data, ensuring quality and ...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaborate with data scientists to collect and preprocess training data, ensuring quality and ...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaborate with data scientists to collect and preprocess training data, ensuring quality and ...