- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree or higher preferred.
- Proven experience in deploying and managing ML workflows using Kubeflow, MLflow, or similar tools in production environments.
- Strong programming skills in Python, with experience in developing and maintaining production-grade code.
- Proficiency in containerization technologies such as Docker and container orchestration tools like Kubernetes.
- Experience with large language model management systems for natural language processing tasks, such as Hugging Face Transformers.
- Familiarity with DevOps practices and tools, including CI/CD pipelines, infrastructure as code, and configuration management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with version control systems such as Git and familiarity with GitOps principles.
- Knowledge of security best practices and data privacy regulations.
- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.
- Owner mentality - self-directed, needs minimal supervision, hands-on leader to drive quality in usability and experience
- Always experimenting than hypothesizing (Learn it all vs. know it all)
- Ability to design, architect and quickly complete projects with minimal supervision and direction
- Strong interpersonal communication skills
- Work as a team while owning key product deliverables
- You are passionate, unafraid & loyal to the team & mission
- You love to learn & win together
- You communicate well through voice, writing, chat or video, and work well with a remote/global team
- Education and experience requirements may vary depending on the company and position, but a bachelor's or master's degree in Computer Science, Engineering, Sales or a related field and several years of experience in scaling a B2B Product sales organization is required.
- Learning - Constantly learn from founders, community and customers
- Startup Perks - Ownership, Autonomy & Mastery
- Standard Benefits - insurance, commute etc.
- Paid vacation, benefits and a commitment to everyone's physical/mental health
- You get to change the way the world, and leave a lasting impact.
-
MLOps Engineer
1 day ago
Recro Bengaluru, IndiaJob Title: Senior MLOps Engineer · Location: Bengaluru, Karnataka, India · Experience: 7-10 years · Responsibilities: · MLOps Framework and Infrastructure: · Create scalable MLOps frameworks and infrastructure to support the full machine learning lifecycle, from data ingestion to ...
-
MLOPS Engineer
1 day ago
LTIMindtree Bengaluru, IndiaJob Title - MLOps Engineer (Machine Learning Development Environment, MLOps, Pachyderm) · Location: Bangalore/Pune · Job Description: · As an MLOps Engineer, you will be responsible for the design, development, integration and deployment of frameworks, tools and pipelines require ...
-
MLOps Engineer
3 days ago
Valiance Analytics Pvt. Ltd. Bengaluru, India permanentAbout Us : · Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. · We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive ...
-
MLOps Engineer
3 days ago
Squareroot Consulting Pvt Ltd. Bengaluru, India permanentCompany Overview : · We are a cutting-edge technology company specializing in developing and deploying machine learning models at scale. Our team is at the forefront of innovation, leveraging advanced technologies to solve complex problems and drive business impact. · Position : ...
-
MLOps Engineer
1 day ago
Change leaders Bengaluru, IndiaSkills Set : · Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, AirFlow, ML pipeline creation, drift monitoring. · Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL. · - Experience in developing scalable APIs. · - Knowledge of AWS, ...
-
MLOPS Engineer
17 hours ago
LTIMindtree Bengaluru, IndiaPlease find below JD: · 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 scal ...
-
MLOps Engineer
3 days ago
Winfort Bengaluru, India permanentJob Description : · The role will be responsible for Work with multiple stakeholders and departments to Design and maintain engineering infrastructure to support enterprise machine learning systems in Azure cloud · Key Objectives : · - Support model development, following industr ...
-
MLOps Engineer
3 days ago
Orbus International Bengaluru, India permanentSkills Required : · - Strong experience in System Integration, Application Development, or Data-Warehouse projects across technologies used in the enterprise space · - Object-oriented languages (e.g., Python, PySpark, Java, C#, C++) · - CI/CD experience (e.g. , Jenkins, GitHub Ac ...
-
MLOps Engineer
3 days ago
Changeleaders Bengaluru, India permanentJob Description : · Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, AirFlow, ML pipeline creation, drift monitoring. · - Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL. · - Experience in developing scalable APIs. · - Knowledge ...
-
MLOps Engineer
1 day ago
Squareroot Consulting Bengaluru, IndiaRole : Machine Learning Ops Engineer · Exp - 5-7 Yrs · Job location - Bangalore (Work From Office) · Immediate Joiners Preferred- · Role: Machine Learning Ops Design, develop, and deploy scalable machine learning systems from end to end, focusing on distributed computing and sca ...
-
MLOPS Engineer
3 days ago
Kudzu Infotech Bengaluru, IndiaOverview: · The MLOPSEngineer plays a crucial role in integrating and operationalizingmachine learning models within the organizations systems andprocesses. They are responsible for building and maintaining theinfrastructure tools and frameworks required to deploy monitor andmana ...
-
Senior MLOps Engineer
2 days ago
Avataar Bengaluru, IndiaAt Avataar, we are re-imagining product discovery for shopping/commerce with the power of spatial depth. We are taking the latest advances in Neural Rendering, Computer Graphics, Generative models and the web to empower the next generation of visual storytelling. · We recently an ...
-
MLOPS Engineer Lead
1 day ago
LTIMindtree Bengaluru, IndiaRole: MLOps Engineer Lead · Total Experience: 12 years · Location-Bengelaru · Role Description · Looking for an experienced and motivated GCP evangelist who will work as Lead MLOps Engineer and will be designing, developing, and maintaining the infrastructure and workflows neces ...
-
Ml Ops
2 days ago
CoffeeBeans Consulting Bengaluru, IndiaFounded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build c ...
-
Data Scientist
15 hours ago
Luxoft Bengaluru, India**Project** Description**: · **Responsibilities**: · Proficiency in statistical analysis and computing, algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, Search Algorithms, MLOps/MLFlow · Experience in: Python, Spark, ...
-
Ai Architect
1 day ago
Elfonze Technologies Bengaluru, India**Job Information**: · Industry · - IT ServicesCity · - BangaloreState/Province · - KarnatakaCountry · - IndiaZip/Postal Code · AI Architect- Job location: Bangalore · - ** · 10+ years** of experience working with large data sets or do large scale quantitative analysis · - Will b ...
-
Ai Architect
15 hours ago
Bosch Group Bengaluru, IndiaCompany Description · **Bosch Global Software Technologies Private Limited** is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associ ...
-
Bosch Group Bengaluru, IndiaCompany Description · BGSW is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 30,000 associates, it's the largest software development center ...
-
Data Science
15 hours ago
Black & White Business Solutions Bengaluru, India**Job Information**: · Industry · **IT Services** · *** · Province · **Karnataka** · *** · City · **Bangalore** · *** · Postal Code · **560001** · *** · Country · **India** · **Data Science - Machine Learning** · LOCATION: PUNE/HYD/BAN/KOLKATA · Notice Period: Days · MANDATORY SK ...
-
Data Scientist
15 hours ago
KeyPoint Technologies Bengaluru, India**Location: DRDO, Bangalore** · **Role** · **Experince** · **Qualification and Experience** · AI Specialist · 3 Yrs · Essential: · PHD/(Master's degree with 3 year of work experience) from computer science/ECE/Electronics department from · reputed institutes with specialization i ...
Senior MLOps Engineer - Bangalore, India - Autonomize AI
Description
Job Description :
Autonomize, Inc is seeking a highly motivated, driven Senior MLOps Engineer with Python & MLOps expertise to join our team on a journey to help organizations scale across the globe.
Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it's our goal to make that process effortless and accessible.
We are an ambitious team committed to human-machine collaboration.Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits.
We are a global company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI.
We are a humble yet hungry group, always learning, always experimenting and always giving our best in everything we do.
The company is still very young, and you will be joining the core engineering team, and it provides you the opportunity to take on more responsibility, break glass and change the world.
About the Role :
We are actively searching for a highly skilled and motivated Senior MLOps Engineer with expertise in Python and MLOps to become a key member of our team.
The successful candidate will be responsible for deploying, managing, and monitoring machine learning (ML) workflows using cutting-edge tools like Kubeflow, MLflow, and LLM (Large Language Model) management systems.
This role requires expertise in both machine learning techniques and DevOps practices, with a focus on scalability, reliability, and automation.
Key Responsibilities :
ML Workflow Management :
Design, implement, and optimize ML workflows using Kubeflow and MLflow to streamline the development, training, and deployment of machine learning models.
Model Deployment :
Deploy ML models into production environments using Kubeflow pipelines, ensuring scalability, reliability, and performance.
LLM Management :
Implement and manage large language models (LLMs) for natural language processing tasks, including training, fine-tuning, and inference.
Infrastructure Orchestration :
Utilize Kubernetes for container orchestration and manage scalable, fault-tolerant infrastructure for ML workloads.
Automation :
Develop automation scripts and tools to automate deployment, monitoring, and maintenance tasks, minimizing manual intervention and improving efficiency.
Version Control :
Implement version control for ML models, datasets, and experiments using Git and MLflow, ensuring reproducibility and traceability.
Monitoring and Logging :
Set up monitoring and logging systems to track the performance and health of ML workflows and infrastructure components, and implement alerts for proactive issue resolution.
Security and Compliance :
Implement security best practices and compliance standards for sensitive data handling in ML workflows, ensuring adherence to privacy regulations.
Collaboration :
Collaborate closely with data scientists, software engineers, and other stakeholders to integrate ML models into production systems effectively.
Documentation :
Document deployment processes, infrastructure configurations, and troubleshooting procedures to facilitate knowledge sharing and ensure system reliability.
Requirements :
Value / Who based :
Some perks of working with us :
Outsized Bet :
We are a young company, funded by early customer traction, and leading VCs, and provides you an opportunity to start at the ground floor.
A few years may turn into a plush retirement fund
If you want to work on the most impactful work of your life, learn together, and change the world, this job is for you.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.