MLops Engineer

Responsibilities:

1. Design, develop, and optimize machine vision algorithms.

2. Collaborate with cross-functional teams to understand project requirements and contribute to the development of vision-based applications.

3. Work on image/video processing, feature extraction, object detection, and recognition algorithms.

4. Implement and deploy machine vision solutions for real-world applications.

5. Conduct testing and validation of vision systems to ensure robust performance.

6. Stay updated on the latest advancements in computer vision and DL/ML technologies.

Qualifications:

1. Bachelor's or Master's degree in Computer Science, Electronics Engineering, or a related field.

2. Proven experience of 1-3 years in machine vision domain.

3. Strong programming skills in languages such as Python, etc.

4. Knowledge of image processing libraries and frameworks (OpenCV, SciPy, etc.).

5. Familiarity with hardware integration for vision systems.

6. Excellent problem-solving skills and attention to detail.

7. Good communication and collaboration skills.

Additional Skills (Preferred):

1. Experience with deep learning techniques for computer vision.

2. Knowledge of 3D vision and point cloud processing.

4. Understanding of industrial automation and robotics.

5. Experience working with thermal cameras

6. PLC programming 

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe, and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers Intuitive is the fastest growing top-tier Cloud Solutions and Services company

JD:

Years of Database Technologies experience:

• 8+ Years supporting Core database technologies

Mandatory Skills:

• Experience in providing 24x7 support
• Highly organized and self-motivated, handling multiple projects and deadlines
• Experience in multiple core SQL database technologies like Oracle, SQL Server, MySQL, 
• Certification in some of the Cloud Database technologies like Oracle Cloud, AWS RDS, Aurora, Azure SQL Server, GCP Databases
• Experience in designing, building, and supporting highly available databases using Oracle RAC, MySQL master/slave configuration, MongoDB replica Sets, SQL Server Always On etc.
• Experience in migration and conversion of heterogeneous & homogeneous databases from on-prem to cloud platforms like AWS, GCP, Azure
• Cloud migrations skills from basic networking, storage, capacity planning, performance benchmarking
• Experience in Oracle Cross-Platform database migration and use of transportable tablespaces
• Experience in using native database backup and recovery technologies like Oracle RMAN and Cloud Platforms backups like AWS Snapshots, AWS S3
• Experience in Databases Performance Tuning, Capacity Planning and Benchmarking

Highly Desirable Skills:

• Experience in 2-3 Automation technologies like Ansible, Bash, Chef, Puppet, CloudFormation, Terraform etc.
• Experience in installing, configuring, and managing database monitoring technologies like Oracle OEM, Percona’s Monitoring Toolset (Promethius), HPOV, Newrelic
• Experience in supporting Big Data Technologies, Data Warehouse, Data Lake, Data Analytics and Machine Learning solutions

The Technical Project Manager is responsible for managing projects to make sure the proposed plan adheres to the timeline, budget, and scope. Their duties include planning projects in detail, setting schedules for all stakeholders, and executing each step of the project for our proprietary product, with some of the World’s biggest brands across the BFSI domain. The role is cross-functional and requires the individual to own and push through projects that touch upon business, operations, technology, marketing, and client experience. 

• 5-7 years of experience in technical project management.

• Professional Project Management Certification from accredited intuition is mandatory.

• Proven experience overseeing all elements of the project/product lifecycle.

• Working knowledge of Agile and Waterfall methodologies.

• Prior experience in Fintech, Blockchain, and/or BFSI domain will be an added advantage.

• Demonstrated understanding of Project Management processes, strategies, and methods.

• Strong sense of personal accountability regarding decision-making and supervising department team.

• Collaborate with cross-functional teams and stakeholders to define project requirements and scope.

Do you love React / Javascript / Frontend?

Like solving different problems, up for learning new stuff every day? Do you Like frontend but also like full stack? Like JavaScript but also like other languages? We are looking for the constantly curious and willing-to-try-new things type of people! 

We are mostly React but not only, but we do also push into all types of strange and common.

Typical tools in our toolbox are:

React
Typescript
Redux (RTK toolkit)
Recoil
Create React App
React-Router
CSS / Sass
a lot of vanilla JS
Figma
Git

Great, if you are familiar with:

Business Analyst (Data & Analytics) Remote Work, US shift

General Scope and Summary

The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams  answer strategic and business questions through data.

Roles and Responsibilities

Night Shift - Remote Work

Document business processes this includes workflow diagrams, entity relationship diagrams and other supporting documentation

Design new workflows based upon business requirements

Interact with development resources to create the technical requirements

Act as quality assurance liaison prior to release of new data analysis or applications

Write technical documentation for our applications to be provided to customer success for turning into user friendly documentation  

Perform Data Exploration and Analysis

Build simple reports/dashboards

Interact with external stakeholders to address technical issues.

Experience, Education and Specialised Knowledge and Skills

Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient.

Strong interpersonal skills, ability to understand stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations.

Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.

Basic Qualifications

4+ years’ experience in business analytics, data analysis, data management, or related technologies.

Data Related certifications and/or degrees preferred.

Deep technical and domain knowledge related to Analytics, data exploration, business analysis Experience with a variety of business intelligence and analytical software package (e.g., Tableau, Power BI etc.).

Experience with Gathering requirements, creating workflows on data projects

Exposure, and knowledge of primary cloud provider offerings and architectures (AWS, Azure, GCP).

Knowledge of agile methods and delivery techniques.

Experience with Data exploration, profiling like SQL

Experience in working with cross functional teams.

Ability to deliver in fast paced environment with attention to detail and

execution focus

Exceptional verbal and written communication

Ability to work individually, within a cross-functional team, as well as with external partners and vendors

Preferred Qualification

Awareness of regulatory impacts to data in the Live Sciences business,

such as GxP.

Ability to deliver fast, show quick wins and have the big picture in mind

Ability to work with external vendors and hold them accountable

Ability to juggle multiple priorities and make quick decisions

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility