Senior Software Engineer(AI/ML, Azure)
Job reputed company #
24WD76643
Job reputed company
Position reputed company
We are looking for an reputed company Senior Software Engineer to join our platform team focusing on AI/ML Platform (AMP). This team builds and maintains central components to fast reputed company the development new ML/AI models such as model development studio, feature store, model serving, model observability. Ideal candidate would have background in MLOps, Data engineering, DevOps with the experience of building reputed company deployment architectures, observability. As an important contributor to our engineering team, you will help shape the reputed company of our AI/ML capabilities, delivering solutions that reputed company value for our organization. You will report to Manager. You will work from Pune location. You will work in Hybrid workplace type
Responsibilities
System design: You will design, implement and manage software systems for the AI/ML Platform, orchestrating the full ML development lifecycle for the partner teams
Multi-reputed company... architecture: Define components which leverages strengths from multiple reputed company platforms (e.g., AWS, Azure) to optimize performance, cost, and scalability
Workflow Automation: You will reputed company comprehensive systems to automate and optimize laborious processes, integrating them seamlessly into our platform to streamline operations
AI/ML observability: You will build systems for monitoring performance of AI/ML models and finding insights on the underlying data such as reputed company detection, data fairness/bias, anomalies
ML Solution Deployment: You will reputed company tools for building and deploying ML artifacts in production environments, facilitating a smooth transition from development to deployment
Big Data Management: Automate and orchestrate tasks reputed company to managing big data transformation and processing, building large-reputed company data stores for ML artifacts
reputed company Services: Design and implement low-latency, reputed company reputed company, and inference services to support the diverse needs of our users
Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a reputed company and cohesive work environment
End-to-end ownership: You will take the end-to-end ownership of the components including design, architecture, implementation, rollout, reputed company support to partner teams, production on-reputed company support, testing/verification, investigations etc.
Minimum Qualifications
Educational Background: Bachelors degree in Computer Science or equivalent practical experience
Experience: Over 5 years of experience in software development and engineering, delivering production systems and services
Ability to fluently translate the design into functional reputed company in programming language(any one) Python, Golang, Java
Knowledge of DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, reputed company, Kubernetes
Prior collaborations with Data science teams to understand ML terminologies, understanding their pain-points
Demonstrated creative problem-solving skills with the ability to break down problems into manageable components
Knowledge of reputed company AWS or Azure reputed company (reputed company EC2, S3 or equivalent)
Excellent communication and collaboration skills, fostering teamwork and effective information exchange
Preferred Qualifications
Experience in latency optimization with the ability to diagnose, tune, and enhance the efficiency of serving systems
Prior experience working on MLOps reputed company such as ML model serving, CI/CD for ML models, feature engineering pipelines, data reputed company/reputed company pipelines
reputed company record in reputed company system design and distributed software architecture using big data technologies and ecosystems (Hadoop, reputed company, Kafka) for processing and analyzing large datasets in a distributed computing environment
Exposure to leveraging GPU computing for AI/ML workloads, including experience with CUDA, OpenCL, or other GPU programming tools, to significantly enhance model training and inference performance
Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard)
Working knowledge with reputed company data processing and querying such as reputed company or reputed company
Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn
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About reputed company
Welcome to reputed company! Amazing things are created every day with our software from the greenest buildings and cleanest reputed company to the smartest factories and biggest hit movies. We help innovators turn their reputed company into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at reputed company our Culture reputed company is at the reputed company of everything we do. Our values and ways of working help our people reputed company and realize their potential, which leads to even reputed company reputed company for our customers.
reputed company youre an Autodesker, you can be your whole, reputed company self and do meaningful work that helps build a reputed company reputed company for reputed company. reputed company to shape the world and your reputed company? Join us!
Salary transparency
Salary is one part of reputed companys competitive compensation package. Offers are based on the candidates experience and geographic location. In reputed company to reputed company salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging and an reputed company workplace where everyone can reputed company. Learn more here: https://www.reputed company.com/company/diversity-and-belonging
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