Digital Marketing

Employment Type: Full-Time

Location: In-office, Bangalore

Key Responsibilities:

• Develop and write compelling content for various mediums, including blogs, social media, and newsletters.

• Research and generate ideas for new content topics, ensuring they align with our brand voice and strategic goals.

• Collaborate with other teams (e.g., design, SEO, product) to ensure content consistency and effectiveness.

• Optimize content for SEO to improve organic reach.

Requirements:

• Proven experience as a content writer, copywriter, or similar role.

• Strong writing, editing, and proofreading skills, with attention to detail.

• Familiarity with SEO best practices.

• Ability to work independently and manage multiple projects.

Additional Skills (Preferred):

•Knowledge of content management systems (CMS), especially WordPress.

•Experience in our industry or related fields.

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
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Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Now Hiring: Tableau Developer (Banking Domain) 🚀

We’re looking for a 6+ years experienced Tableau pro to design and optimize dashboards for Banking & Financial Services.

🔹 Design & optimize interactive Tableau dashboards for large banking datasets

🔹 Translate KPIs into scalable reporting solutions

🔹 Ensure compliance with regulations like KYC, AML, Basel III, PCI-DSS

🔹 Collaborate with business analysts, data engineers, and banking experts

🔹 Bring deep knowledge of SQL, data modeling, and performance optimization

🌍 Location: Remote

📊 Domain Expertise: Banking / Financial Services

✨ Preferred experience with cloud data platforms (AWS, Azure, GCP) & certifications in Tableau are a big plus!

Bring your data visualization skills to transform banking intelligence & compliance reporting.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

• Analyze, plan and develop requirements and standards in reference to the product pipeline.
• Create and manage the product plan for new tech integrations with the third-party vendors.
• Manage the current integrations with the third-party vendors for ongoing changes & requirements.
• Determine and define clear deliverables for the team members. Assign and oversee the daily tasks of technical personnel while ensuring the team is actively working toward established product milestones.
• Hold daily scrum team meetings to determine progress and address any questions or challenges regarding projects
• Establish and implement training processes and strategies for all technical personnel
• Ensure high test coverage and low post release issues through effective product planning.
• Prepare progress reports for senior management.

Qualifications

• Master's degree in Project Management or related technical field required
• Demonstrated understanding of Project Management processes, strategies and methods
• Experience mentoring, coaching and developing rising talent in the technology department
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others
• Strong sense of personal accountability regarding decision-making and supervising department teams
• Experience working in a high-level collaborative environment and promoting a teamwork mentality
• Managerial experience applying analytical thinking and problem-solving skills
• Ability to predict challenges and seek to proactively head-off obstacle

• Conduct market research to identify selling possibilities and evaluate customer needs
• Actively seek out new sales opportunities
• Set up meetings with potential clients and listen to their concerns
• Create frequent reviews and reports with sales and financial data
• Ensure the availability of stock for sales and demonstrations
• Participate on behalf of the company in exhibitions or conferences
• Negotiate/close deals and handle complaints or objections
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share it with internal teams

Requirements

• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Thorough understanding of marketing and negotiating techniques
• Fast learner and passion for sales
• Self-motivated with a results-driven approach
• Aptitude in delivering attractive presentations
• Graduate from any stream with relevant experience is preferred