Content Writer

• Design and develop interactive dashboards and reports using Power BI Desktop and Power BI Service.
• Connect, clean, and transform data from multiple sources including Excel, SQL databases, SharePoint, APIs, and cloud-based data sources.
• Write DAX measures, calculated columns, and basic Power Query transformations to support business KPIs.
• Collaborate with business stakeholders to understand reporting requirements and convert them into clear visual dashboards.
• Ensure data accuracy, consistency, and quality across reports and dashboards.
• Support the maintenance, troubleshooting, and optimisation of existing Power BI reports.
• Assist in creating reusable data models, semantic models, and reporting templates.
• Document report logic, data sources, data models, and transformation steps for knowledge sharing.
• Participate in team meetings, sprint planning, requirement discussions, and review cycles.
• Explore and support the use of Power BI MCP servers or similar integration approaches for connecting Power BI with AI-assisted workflows and external tools.
• Assist in evaluating how AI tools can be used for faster data analysis, DAX generation, report documentation, insight generation, and dashboard development.
• Support basic integration of Power BI reports into web applications or internal portals, where required.

Required Skills and Qualifications

• Education: BE / BTech / BSc student in Computer Science, Information Science, Data Science, IT, or related field.
• Experience: Fresher / up to 1 year of academic, internship, or project experience.
• Strong interest in Business Intelligence, Data Analytics, Reporting, and Automation.
• Ability to learn quickly and work in a collaborative team environment.

Technical Skills

• Hands-on experience or academic project exposure to Power BI Desktop and Power BI Service.
• Basic understanding of DAX and Power Query / M language.
• Familiarity with data modelling concepts such as star schema, relationships, hierarchies, fact tables, and dimension tables.
• Working knowledge of Microsoft Excel for data preparation and analysis.
• Basic SQL knowledge for querying relational databases.
• Exposure to data sources such as Excel, CSV, SQL Server, SharePoint, REST APIs, or cloud databases.
• Understanding of dashboard design principles, including layout, filters, drill-through, bookmarks, and user-friendly navigation.
• Basic knowledge of Power BI workspace, publishing, refresh schedules, access permissions, and report sharing.
• Good understanding of data validation, data quality checks, and reconciliation.
• Awareness of Power BI MCP servers, AI agents, or tool-based integrations will be an added advantage.
• Basic knowledge of web application development using HTML, CSS, JavaScript, React, Angular, or similar technologies is good to have.
• Familiarity with embedding Power BI reports into web applications or portals is an added advantage.
• Exposure to AI tools such as ChatGPT, Copilot, or similar platforms for productivity, analytics, documentation, or code assistance is desirable.
• Basic understanding of APIs, JSON, and data integration concepts is good to have.

Good to Have Skills

• Knowledge of Microsoft Fabric, OneLake, Dataflows, or Power BI semantic models.
• Exposure to Python or R for data analysis.
• Understanding of Git or basic version control practices.
• Experience with academic or personal dashboard projects.
• Ability to use AI responsibly for generating insights, improving DAX, creating documentation, and accelerating analysis.
• Interest in automation, AI-assisted reporting, and modern BI platforms.

Soft Skills

• Strong attention to detail with a structured and analytical approach to problem-solving.
• Good communication skills with the ability to explain data insights to non-technical stakeholders.
• Curiosity to explore new tools, technologies, and AI-enabled workflows.
• Ability to work independently as well as in a team.
• Willingness to learn and adapt in a fast-paced environment. 

Responsibilities:

• Design multi-tier Elasticsearch architecture (hot/warm/cold/frozen) with ILM.
• Architect Active-Active/Passive HA and DR across production and disaster recovery data centers.
• Define and implement observability standards, data schemas, naming conventions, and ILM policies per domain.
• Develop and manage ingestion pipelines using Logstash, Beats, and Elastic Agent
• Parse and enrich structured/unstructured logs; implement scalable and fault-tolerant pipelines.
• Deploy and configure Elastic APM agents for Java/.NET/Python services
• Ensure end-to-end distributed tracing, span enrichment, and service dependency mapping
• Optimize trace sampling, error logging, and business transaction visibility
• Design end-to-end observability solution using Elastic stack: log analytics, metrics, traces, APM, and ML.
• Integrate machine learning for anomaly detection.
• Oversee implementation of distributed tracing and service mapping. Ensure that every critical banking transaction can be traced end-to-end.
• Drive adoption of observability standards (SLOs/SLIs, tagging, dashboards).

Minimum 6-8 years experience in software sales
Experience working for the US market
Proven track record for reaching revenue targets, negotiating contracts, building client relationships, account management and lead generation capabilities.
You must have the experience of managing an annual sales quota of $1M or more.
Outstanding presentation, communication and negotiation skills.
Experience selling digital solutions to multiple industry verticals is a plus.
Experience working with a mid sized systems integrator would be a plus
MBA/PGDBM with relevant experience

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Job Description 

We are looking for a Full Stack Developer to produce scalable software. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. With problem-solving approaches and rigorous thinking abilities, we are looking for learners who may not know all the answers but are obsessive about finding them and know exactly where to look for them.

“If you’re also familiar with Agile methodologies, we’d like to meet you.”

Responsibilities 

• Writing code for both the front end and the back end using MERN stack [MongoDB, Express.js, React.js and Node. js]
• Creating RESTful API with Node.js
• Maintaining all the required documents for your project.
• Constantly coming up with new ideas and also implementing them to improve the app’s performance.
• Writing code for the app logic as well as the business logic using Reducers, Actions and Redux framework.
• Create Unit and Integration tests to ensure the quality of code

Requirements 

• At iDC, we value your skills more than your background and some certificates. Attempting the assignment will be your door to the opportunity.
• Knowledge of the database and familiarity with the schema design in NoSQL (i.e MongoDB) 
• A good understanding of the Software Development Lifecycle
• Knowledge of API design and development using REST
• Good understanding of object-oriented programming(OOP) and OOP patterns.
• Again, You don’t have to know it all in-depth but you should know how to dig the internet for finding the solutions.

Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Automated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.

What you need to have: