Senior Technical Writer

Responsibilities:

Use quantitative methods such as business simulations, data mining, modeling, and advanced statistical techniques to solve problems. The Data Scientist contributes by serving as a technical lead for analytics initiatives of low‑to‑medium complexity or business impact and supporting high‑profile, enterprise initiatives such as the Engineered Value Chain. 

In this role, you will act as an individual contributor on analytic teams, partnering on cross‑functional projects, and guiding technical delivery. You will also mentor procurement professionals on the technical approaches used to solve problems presented by business units, service organizations, dealers, or customers. 

Job duties/Responsibilities include but not limited to:

• Lead and deliver analytics initiatives by defining analytical approaches, building models, and translating insights into business actions for procurement and enterprise stakeholders. 
• Develop, train, validate, and monitor predictive models using a broad set of machine learning/statistical methods to support targeted business outcomes. 
• Design and implement ETL/data pipelines and integrate data sources to create safe, trusted datasets for reporting and analytics (including Snowflake and SQL-based workflows). 
• Build executive-ready dashboards and decision tools (e.g., Power BI) that enable data‑driven leadership decisions. 
• Apply data modelling best practices (conceptual, logical, physical models) and support integration/transformation patterns to analytics environments and warehouses. 
• Partner cross‑functionally (Procurement, Digital/IT, Finance, operations stakeholders) to deploy analytics solutions into production and ensure adoption. 
• Operate with strong data governance and operational rigor, including troubleshooting data issues, managing access/user needs, and supporting reliable analytics operations. 
• Use modern engineering practices (e.g., GitLab/DevOps toolchains) to improve repeatability, scalability, and maintainability of analytics solutions. 

Must Have Skills

• Strong AI/ML background across model development and validation, including methods such as time series, clustering, tree-based algorithms, generalized linear models, or neural networks.                           
• Strong SQL + Snowflake proficiency for ETL, transformation, and analytics-ready datasets. 
• Experience with cloud solutions, solution integration, IT operations, and data governance. 
• Proficiency in Python programming language.
• Proficiency in Prompt Engineering.
• Experience with front-end technologies such as HTML, CSS, and JavaScript.
• Experience with back-end technologies such as Django, Flask, or Node.js.
• Solid grasp of database technologies such as MySQL, PostgreSQL, or MongoDB.
• Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines
• Proficiency in Machine Learning Operations.
• Work with business, data scientists to ensure value realization, ROI on operationalization of models
• Strong understanding of statistical analysis and machine learning algorithms.
• Containerization, packaging of ML models
• Experience with data visualization tools such as Power BI.
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
• Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) technologies.

Good To Have Skills:

• Experience with cloud-first and agile methodologies.
• Strong understanding of statistical analysis and machine learning algorithms.
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Required Skill:

• Degree in Computer Science, Business, Mathematics, Economics, Statistics, Engineering, or related field.  

Job Overview:

We are seeking a motivated and enthusiastic Junior AI/ML Engineer to join our dynamic team. The ideal candidate will have a foundational knowledge in machine learning, deep learning, and related technologies, with hands-on experience in developing ML models from scratch. You will work closely with senior engineers and data scientists to design, implement, and optimize AI solutions that drive innovation and improve our products and services.

Key Responsibilities:

• Develop and implement machine learning and deep learning models from scratch for various applications.
• Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, Keras, and JAX for model development and experimentation.
• Employ data manipulation and analysis tools such as pandas, scikit-learn, and statsmodels to preprocess and analyze data.
• Apply visualization tools like matplotlib and spacy to present data insights and model performance.
• Demonstrate a general understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
• Leverage knowledge of statistical and algorithmic models along with fundamental mathematical concepts, including linear algebra and probability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Solid foundation in machine learning, deep learning, computer vision, and natural language processing (NLP).
• Proven experience in developing ML/deep learning models from scratch.
• Proficiency in Python and relevant libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, or JAX.
• Experience with data manipulation and analysis libraries like pandas, scikit-learn, and visualization tools like matplotlib.
• Strong understanding of data structures, algorithms, and multi-threaded programming.
• Knowledge of statistical models and fundamental mathematical concepts, including linear algebra and probability.

Skills and Competencies:

• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Eagerness to learn and stay updated with the latest advancements in AI/ML technologies.

Preferred Qualifications:

• Previous internship or project experience in AI/ML.
• Familiarity with cloud-based AI/ML services and tools.

Nirwana.AI is an equal opportunity employer and welcomes applicants from all backgrounds to apply.

 About Siloho:

SILOHO began its journey as a comprehensive home furnishing brand and today has transformed into a one-stop solution for all your home furnishing requirements. 

SILOHO is the brainchild of Shan Gehlot and Pranshu Sharma, both Engineers and Graduates of the Indian Institute of Technology, Bombay. With extensive experience in technology, real estate, and home furnishings, the partners at SILOHO employ razor-edge technology to help clients envision and furnish interior designs of their ideal homes within a cost-effective budget. 

We have a strong team of heads and hearts, working tirelessly to design homes that reflect our client's personalities. We have also expanded our scope of service with affordable interior designs, customized visualization with 3D software along with a full package with tailored costs, and administering the hand-over process for a smooth transition.

About The Job

We're seeking a skilled project management specialist to conduct modular focused residential interior fit-out projects in partnership with the design and site delivery teams.

4 Tier Essential Responsibilities:

Administrative:

1. You will coordinate communication and foster collaboration between all the stakeholders of the assigned project.
2. You will also work closely with the design team, production operations team, logistics team, and installers to ensure a high standard of execution and customer experience.

Project Management:

1. You will be accountable for project deliveries, and managing the overall building of interior projects assigned.
2. You will help in defining and implementing criteria for quality, cost control, and timely management of the projects in the region.
3. You will be liable for guiding and managing coordination with the vendors and business partners throughout the project lifecycle.

Execution:

1. Coordinating with the design professionals, consultants, and clients while successfully directing the Site Supervisors, Estimator, and other construction-related personnel in planning, coordinating, and safely completing the work by the contract documents schedule, and budget.
2. You will ensure that the designated projects are completed within the timetable while satisfying client needs, quality parameters, and design guidelines.
3. You will also serve as the point of contact for escalations between the Client (or his representative) & Siloho, as and when required, and ensure that the projects are delivered on time within Siloho quality standards.

Reporting:

1. You will appoint and qualify formal reporting arrangements on project progress for the Clients and Company.

Desired Skills & Qualifications:

Graduate with minimum 3 years of Core interior industry experience in Fit Out works.

Desired Industries

Architecture and Planning, Design Services, Construction, and Real Estate

General Skill Sets

1.  Fierce attention to detail and no-compromise attitude towards quality.
2.  Understanding of individual trades and subcontractors appropriate to interior fit-outs
3. Process-driven project management professional with quick problem-solving skills
4. Exceptional interpersonal and multitasking skills to confront clients, vendors, and internal teams.
5. Entrepreneurial passion & ownership.
6. Ability to break down complex ideas and convey them efficiently
7. Proficiency in MS Word/Google Docs, Excel/Google Sheets.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.

• Manage and support delivery of key corporate projects on crèche benefit
• Manage the corporate relationships for clients for whom we manage the annual childcare benefit
• Create and maintain systematic corporate MIS (leads, pipeline, hot conversations) to support in business development
• Reach out to new corporates with ProEves services, support in conducting corporate surveys on childcare and maternity benefits
• Respond to queries of corporates who are looking for providing creche benefit to their employees. Understand their need, share ProEves proposal and follow up
• Liase with daycare partners in ensuring smooth childcare benefit for the client 
• Support the Management team in all corporate reach outs - mailers, events, meetings