11+ Dimensional modeling Jobs in India

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science 

Job Title: HR IT Recruiter

Location: Hyderabad (Work from Office)

Company: InfoGrowth Private Limited

Employment Type: Full-Time

About InfoGrowth:

InfoGrowth Private Limited is a dynamic company headquartered in Hyderabad, offering a wide range of services such as Digital Marketing, IT Managed Services, Cloud Services, Software Development, IT Consulting, BPO, Sales & Customer Support, among others. We are focused on both domestic and international markets.

Job Overview:

We are looking for an experienced HR IT Recruiter to join our growing HR team. The ideal candidate will be responsible for managing the full recruitment cycle for IT positions, including sourcing, interviewing, and onboarding top talent in various IT domains. This role demands a deep understanding of IT roles and the ability to align recruitment efforts with InfoGrowth's strategic business objectives.

Key Responsibilities:

• End-to-End Recruitment: Manage the entire recruitment process, from understanding job requirements to sourcing, interviewing, and hiring IT candidates.
• Sourcing Candidates: Use various platforms (LinkedIn, job portals, social media, and networking) to actively search for and engage qualified candidates.
• Screening: Conduct initial screening calls to assess candidate qualifications, experience, and cultural fit.
• Interview Coordination: Schedule and coordinate technical and HR interviews with relevant stakeholders.
• Stakeholder Management: Collaborate with hiring managers and department heads to define position requirements, ensure alignment, and provide regular updates.
• Offer Management: Assist in offer creation, negotiation, and ensuring smooth onboarding processes.
• Talent Pool Development: Maintain and update the candidate pipeline for future hiring needs.
• Employer Branding: Help promote InfoGrowth's employer brand through engagement initiatives, campus recruitment, and industry partnerships.
• Market Research: Stay updated on IT industry trends, salary benchmarks, and talent availability to provide strategic insights to the team.

Required Skills and Qualifications:

• Educational Background: Bachelor’s degree in Human Resources, Information Technology, or a related field.
• Experience: 2-5 years of IT recruitment experience, preferably in an agency or corporate setting.
• IT Knowledge: Strong understanding of various IT roles and technologies (e.g., Cloud, DevOps, Software Development, Data Analytics, Cybersecurity, etc.).
• Sourcing Skills: Hands-on experience using job boards, LinkedIn Recruiter, and other recruitment tools.
• Communication Skills: Excellent verbal and written communication to engage candidates and coordinate with internal teams.
• Relationship Management: Ability to manage relationships with hiring managers and candidates, ensuring a smooth recruitment experience.
• Organizational Skills: Strong attention to detail and ability to manage multiple open positions simultaneously.
• Teamwork: Collaborative mindset to work closely with HR and cross-functional teams.

Preferred Skills:

• Knowledge of HRIS and ATS software.
• Experience in volume hiring for IT positions.
• Understanding of cloud platforms like AWS, Azure, GCP, and DevOps tools.

Why Join InfoGrowth?

• Opportunity to be part of a growing company with a focus on IT and cloud services.
• Work in a collaborative environment where your contributions are valued.
• Competitive salary and benefits package.
• Career growth opportunities with exposure to a wide range of industries and clients.

Job Description

• The candidate will be handling technical support issues and resolving them over the phone/e-mail/remote and other voice and non-voice channels.
• Addressing end clients and channel partners/system integrators/solution partners/service providers/consultants.
• Conduct product demos and training
• Should be open to work in the morning shift and general shift.

.

Skills

• Good Knowledge of Hardware and Networking concepts
• Good Knowledge of Windows, Linux and Mac OS, Android and iOS
• Basic Knowledge of Antivirus, DLP, MDM, and Remote technologies.

Candidate should be from Navi Mumbai only

Designation: Java Back End Developer

1. Strong in Java , Spring Boot, ver.x (Microservices)
2. 5+ year’s software engineering experience working with large scale applications and projects.
3. Knowledge of best practice software development methodologies and coding standards.
4. General knowledge of public cloud infrastructure and data solutions (e.g. AWS)
5. Broad experience designing and developing scalable, resilient, performant applications:
6. Distributed systems
7. Microservices design and implementation
8. Experience working on, and deploying, large scale systems in Java 
9. Experience with relational DBs like MySQL, SQL Server or Oracle.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases .

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

About Us

Censius is a US-based product company that is enabling AI at scale for enterprises. We are unlocking MLOps scalability by building the world's fastest way to deploy models and are amongst the earliest companies to tackle Model Performance Management. At Censius, you will get to solve difficult problems in a very nascent, but rapidly growing, area.

About the role

In this role, you will design and implement a generic ML platform that helps monitor models across modalities in production. You will collaborate with the research and development teams to build robust ML and big data monitoring platforms.

Responsibilities

* Work on large-scale machine learning challenges that impact millions of people around the globe

* Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time

* Implementing fast, scalable solutions with optimal performance day in and out

* Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle

* Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science

* Writing specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to have

* Strong programming skills in Python.

* Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)

* Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)

* Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn

* Familiarity with ML platforms like MLflow, Weights&Biases, Kubeflow, and AWS SageMaker.It'd be nice if you have* Passion for developing data products from scratch and a high level of proactiveness

* Knowledge of Reinforcement learning and Optimisation problems on a large scale is a big plus

* Some experience in project management and mentoring is also a plus.

* Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.

You will excel in this role if

* You are scrappy, take ownership, and follow through to the very end

* You enjoy wearing multiple hats

* A sincere desire to learn and grow - we're quite small, so the desire to learn and grow as the company grows is essential!

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

Desired Candidate Profile