dotNet Developer

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

Job description

We are looking for an Academic Counsellor to join our administrative staff. The successful candidate will divide his or her time equally between administrative tasks and providing students with guidance and support. They should be able to take responsibility for nurturing,

acquiring, growing, and strengthening higher education customers across the world. Most importantly to believe in their consultative approach, identifying the needs of the customers and being able to marry off with the product offering/s.

Job Responsibility:

● Build a relationship with the learners who contact Masters’ Union, and be their guiding hand and familiarise them with the product, our vision, and the big picture.

● Understand learners' career needs and guide them with relevant information.

● Handle inbound calls and make outbound calls for follow-ups. Handle learner interactions and queries. Fix appointments and demo sessions on a daily basis.

● Provide timely and accurate responses to learners/parents.

Responsibilities:

• Collaborate with developers, designers, product managers, marketers, subject matter experts and other influencers to obtain an in-depth understanding of the product and the documentation requirements
• Determine the needs of end users of technical documentation and work closely with technology and business team to make products easier to use. This involves Feature Guides, FAQs, Onboarding Guides, Help Documentation, Troubleshooting Guides, Training Manuals, Release Notes and other documentation
• Audit and update the content regularly to ensure relevance with incremental product feature releases, customer use cases, support issues and other internal developments
• Execute the Content Calendar by building and delivering on the roadmap set by the management
• Work closely with the creative teams to represent the content in the most suitable visual format
• Suggest ways to further improve the quality of the documentation

Requirements:

• Bachelor’s/Master’s degree in Computer Science or Information Technology, Arts or Communication
• 0 to 2 years of experience in technical content writing
• Exceptional technical writing and editing skills, as well as the ability to adopt the style, tone, and voice of our business' various types of content
• Demonstrable active presence in online communities such as blogs, discussion forums, LinkedIn articles, Tweets, Quora answers
• Ability to quickly grasp complex technical concepts and make them easily understandable to users in the form of text, images, videos, infographics
• Ability to identify issues, challenges, and gaps associated with the content
• Ability to understand briefs and translate briefs into high-quality product collaterals
• Passion for technology, communication and strong understanding of the industry and organization’s mission
• Basic understanding of web technologies and programming languages to publish viral tech blogs
• Excellent command over written and verbal communication
• Adept at Multitasking, creative thinking and working independently

Job Description :

Business Development Executive/ Manager

 2 – 8 years of experience as a Business Development Manager or similar role

 Experience in leading business development team

 Excellent communication and negotiation skills

 Excellent leadership skills

 Critical thinker and problem solver

 Great communication and presentation skills

 Excellent command of MS Office and CRM software

 2 – 8 years of experience in business development, sales management, or relevant fields

 Lead Generate, Sales and Get Client

 Convincing Power

Roles & Responsibilities:

1. Develop end-to-end Salesforce solutions using primarily Configuration and Customization where needed (APEX Class, Triggers, Visualforce pages, Lightning Web components etc.)

2. Automate business processes using Salesforce automation tools, such as Formulas, Flow, Assignment Rules, Approval processes and email Alerts.

3. Build integrations between Salesforce and external applications using Mulesoft, REST, SOAP APIs, oAuth and Single Sign-On, etc.

4. Participate in daily scrum meetings, analyze assign user stories, identify/resolve gaps in functional user stories/business requirements. 5. Adhere to defined coding standards and develop well-structured, maintainable, and easy to understand code.

6. Perform independent code reviews and write unit/integration test cases to achieve 85% test coverage.

7. Demo enhancements and features to business stakeholders

8. Ability to effectively debug and resolve issues and/or defects which may be reported because of faults in the production system. Experience:

1. 5+ years of experience with Salesforce Lightning, Apex, & Development experience with Experience Cloud & Service Cloud

2. 5+ years of experience utilizing source control on a Salesforce project.

3. 5+ years of experience with advanced Salesforce.com development tools and techniques (APEX Class, Triggers, Visualforce pages, Lightning Web components etc.)

4. Experience developing robust test classes and ensuring code coverage within Salesforce.

5. Experience using Salesforce's standard development tooling, including the Salesforce CLI, Data Loader, VS Code + Salesforce Extension Pac

Skills – Jboss, DevOps, ServiceNow, Windows Server.

JD - Application Maintenance -- Must have -- Installation and configuration of Custom/Standard Software e.g., FileZilla, JDK, OpenJDK Installation and configuration of JBOSS/Tomcat Server, Configuration of HTTPS certificate in JBOSS/Tomcat, Windows Event Viewer/IIS Log/ Windows Security /Active Directory, how to set Environment variable, Registry value, etc. Nice to Have --- Basics of Monitoring Knowledge of PowerShell, MS Azure Devops, Deploy and Configure application, how to check Last installed version of any software/patch, ServiceNow , ITIL , Incident Management , Change Management