AWS FinOps Specialist/Engineer

We are seeking a skilled .NET Developer with 3 to 6 years of experience, Solid background in developing web applications using the .NET framework.

You will be responsible for designing, coding, testing, and deploying software solutions while collaborating with cross-functional teams to ensure high-quality deliverables.

Join DataCaliper and step into the vanguard of technological advancement, where your proficiency will shape the landscape of data management and drive businesses toward unparalleled success.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: Data caliper

URL: https://datacaliper.com/

Work location: Coimbatore( Remote)

Experience: 3-6 Years

Joining time: Immediate – 4 weeks

Experience:

3 to 6 years of professional experience in .NET development with a strong understanding of the .NET framework, C#, and related technologies.

Technical Skills:

-Proficiency in C# and .NET Core/Framework.

-Experience with ASP.NET, MVC, Web API, and Entity Framework.

-Familiarity with SQL Server and database design.

-Experience with version control systems (e.g., Git, SVN)

Thank you

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes. 

Responsibilities

• ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
• Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
• Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
• Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
• Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

• 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
• Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
• Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
• Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.

You will be responsible for developing features on the application and integrations end to end. You will be working closely with the Technical Team to come up with high-quality, resilient, and highly performant applications.‍

• Design and develop SaaS-based applications based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• API and Integrations
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
• Work on the front end with ReactJS is a plus point.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent
• 5+ years of experience
• Agnostic/Polyglot with multiple tech stacks
• OAuth, API Integrations.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, CouchDB, DynamoDB, Clickhouse, Kafka
• Backend exposure – good knowledge of building and integrating APIs
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Excellent knowledge and understanding skills on oAuth.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

You will work with a top-notch tech team, working closely with the architect and engineering head. 

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Compass.

We at Compass strive to make selling fun with our SaaS incentive gamification product.  Compass is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards, and analytics to help accelerate performances and sustain growth.

We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done. Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.

If you find this role exciting and want to join us in Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.

JOB DESCRIPTION / ROLES & RESPONSIBILITY

Job Title
Customer Experience Champion

Location
Chennai, Mumbai, New Delhi, Kolkata, Hyderabad, Bangalore

Salary
INR 4,00,000 – 5,00,000 per annum

Position Summary

As a Customer Experience Champion, you will work as part of SunEdison’s Customer Experience team. This role requires a results-focused individual who can liaise with our Customer Experience, Sales and Operations teams. Further, supporting the Sales teams, to deliver high-quality service to SunEdison’s clients. This position is created for calling active and budding clients to encourage understanding of our product. Addressing clients' uncertainties, grievances, and suggestions on time. Noting important details of each conversation. Must be comfortable in presenting products or services over the phone as well as dealing with doubts. If you have a passion for delivering measurable results and client success, we want to hear from you.

The Objectives of this role include

• Directly leads all aspects of a team of a max of 10 Individual Contributors including the sales team, operations team and customer experience specialists.
• Partner closely with Sales and Operations Team in their respective region
• Ensure timely submission and follow-up on all call information submitted across businesses
• Arrange Client meetings with the Sales Team
• The goal is to help the company grow by bringing in customers and developing business
• Correspondence to clients like clarifications, queries, and other details about our business
• Convincing customers to close the lead and grow the business
• Follow up with the client, may include site visit as well
• Relationship management
• Drive to engage clients on new products and features
• Understanding customer journey thoroughly
• Coordinating customer requests with internal stakeholders (ops team, survey team)
• Coordinating customer’s requests with external stakeholders (Distribution Companies, etc)

Position Responsibility

• Contact potential or existing customers to inform them about a product or service using scripts
• Answer questions about products or the company and ask questions to understand customer requirements to close sales
• Handle grievances to preserve the company’s reputation
• Go the “extra mile” to meet sales quota and facilitate future sales
• Keep records of calls and sales and note useful information
• Directly communicating between the Client and SunEdison’s team and performance management
• Manage and coordinate inter-team-members relationships
• Team level Key Performance Indicators
• Bridge the gap between client, sales team and operations team for Solar Panels
• Noting down customer requests exhaustively
• Ultimate focus on delighting the customer
• Pulling in the relevant subject matter expert in their conversation with the customer as and when required.
• Ensuring all teams deliver to customers in their respective TAT

Position Experience

• Minimum 1-3 years of relevant experience, preferably worked in a BPO Industry, Energy Sector, B2C relationship management, customer service (servicing internal or external customers), consumer-facing sales organization handling inbound & outbound calls, CRM systems.

Position Academic Qualification

• Graduation in any discipline.

Desired Technical Skills

• MS Excel tools and Basic CRM Tools
  
  

Desired Soft Skills

• Should have attention to detail
• Communication Skills (Verbal and Written)
• Interpersonal Skills
• Analytical & Problem-Solving Skills
  
  

Language Proficiency

• English- Must Have
• Hindi/Bengali/Telugu/Assamese/Gujarati/Kannada/Marathi – Good to have

Job Description: Hiring for Real Estate Rental Division - AZURO - Sales Manager

* Team Handling Role (Must have previous experience)

* Onboarding customers to the rental properties

* Finding tenants to the owner

* Take Care of property management and services

* Generate leads and fix appointments with customers

* Visit the property and explain about property to the customer, also convince the customer to onboard our property

Qualification - Graduation Must 60% scored

Total Sales Experience - 4 to 5 years

Relevant Experience Compulsory

CTC - Upto 5.00 LPA

Job Location - Multiple (Bangalore, Pune, Gurgaon, Mumbai, Delhi, Hyderabad)

Please contact and share your updated resume on below coordinates.

8 nine 7 one 9 six 8 one 9 one
sarita dot kumari at squareyards dot co dot in

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred