15 Ml Operations Jobs

The ideal candidate will be responsible for working cross-functionally to understand architecture needs by multiple business units. You must feel comfortable owning the entire architecture development process from inception to completion. As a candidate for this role, you will lead architecture initiatives from inception to completion, collaborate with business users to create architecture in alignment with business needs, champion the adoption of reusable architecture assets to improve efficiency, produce documentation to aid in the understanding of existing architecture solutions, drive Agile methodologies, ensure timely delivery of data engineering initiatives, provide technical mentorshi...

Role Overview: We are seeking a Senior Machine Learning Software Engineer to join our team and drive the development of cutting-edge AI/ML solutions . You will play a key role in designing, building, and optimizing our machine learning infrastructure while collaborating with Product Managers, Data Scientists, and Engineers to bring innovative models into production. The ideal candidate should have a strong background in ML operations, software engineering, and automation to ensure a scalable and robust AI-driven ecosystem. Key Responsibilities: Operationalize leading data and analytics technologies while following best practices. Partner with Product Managers to understand customer requireme...

Role Overview: We are seeking a Senior Machine Learning Software Engineer to join our team and drive the development of cutting-edge AI/ML solutions . You will play a key role in designing, building, and optimizing our machine learning infrastructure while collaborating with Product Managers, Data Scientists, and Engineers to bring innovative models into production. The ideal candidate should have a strong background in ML operations, software engineering, and automation to ensure a scalable and robust AI-driven ecosystem. Key Responsibilities: Operationalize leading data and analytics technologies while following best practices. Partner with Product Managers to understand customer requireme...

Join our Chief Data and Analytics Office to develop enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations utilized firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management. As a Product Director - Data Governance in the Chief Data & Analytics Organization at JP Morgan Chase, you will be responsible for leading the development of product strategies and major initiatives focused on Data Management governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant use of AI & Data Management technologies across the organization. Y...

Key critical skills required for this role include: Ability to work dedicated shifts in the range of 12 Noon IST to 12 AM IST. Minimum 6 Years experience in Data Science Domain (Analytics and Reporting). Ability to write and study and correct Python, SQL code is mandatory. Ability to work with Big Data. Ability to articulate a Value Proposition and Enhancement opportunity. Visualization Tools exposure like Power BI, Tableau. AWS Services exposure. Machine Learning Operations Py Spark exposure You may be assessed on key essential skills relevant to succeed in role, such as strong knowledge on Python, SQL, Big Data, Power BI, Tableau strategic thinking as well as job-specific technical skills.

Experience in AWS Cloud Mandatory along with ML Ops

As an Engineer 4, Machine Learning at Comcast, you will be a vital part of our international engineering team, dedicated to transforming innovative ideas into cutting-edge products and solutions that cater to the needs of our customers. At Comcast, we provide an environment that fosters innovation and encourages you to bring your authentic self to work. Your contributions will be valued and recognized, allowing you to showcase your skills and expertise while achieving personal and professional growth. In this senior-level data science role, you will be responsible for leading the design, development, and implementation of advanced time series forecasting models. Your primary focus will be on...

As an Engineer 4 specializing in Machine Learning at Comcast, you will be a crucial part of our international engineering team. Your primary responsibility will involve designing, developing, and implementing advanced time series forecasting models to predict future trends based on historical data. Your expertise will be pivotal in creating cutting-edge solutions that drive innovation and enhance customer experiences. Key Responsibilities: - Lead the design and development of complex time series forecasting models utilizing various techniques such as ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other advanced algorithms tailored to meet business requireme...

Role and Designation : ML Ops Engineer Number of Positions : 1 Desired Experience : 3 to 6 years Detailed Job Description: We are seeking an ML Ops Engineer to operationalize and manage the lifecycle of machine learning models, especially those built using Azure and Databricks. You will be key in deploying, monitoring, and optimizing models across multiple business use cases. Key Responsibilities: Maintain, optimize, and scale recommendation engines used in FMCG or consumer goods environments to ensure high availability, accuracy, and low-latency performance across channels. Continuously improve recommendation models using advanced ML techniques such as collaborative filtering, content-based...

Role & responsibilities University Degree in Computer Science, Information Technology, or related field 5+ years of experience in the Machine Learning Operations role Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine learning production system Develop and deploy scalable tools and services for our clients to handle machine learning training and inference Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients machine learning systems Apply software engineering rigor and best practices to m...

Job Description: Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like G...

Location: Bangalore/Noida/Pune/Gurgaon Education: B.E. / B. Tech / M.E. / M. Tech / MCA Job Responsibilities: Model Deployment and Management: Drive ML prototypes into production ensuring seamless deployment and management on cloud at scale. Monitor real-time performance of deployed models, analyze data, and proactively address performance issues. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability. Collaboration and Integration: Collaborate with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. Work closely with ML scientists, software engineers, data engineers, and other stakeholders ...

**Key Responsibilities** People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical sha...

Experience in AWS Cloud Mandatory along with ML Ops

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout...