Job summary: We are seeking a dynamic and results-driven Business Development Executive. The ideal candidate will have a passion for events and a talent for identifying business opportunities, building strong client relationships, and driving revenue growth. You will play a key role in expanding our client base and promoting our event management services. Requirements: · Bachelor’s degree in Business, Marketing, Hospitality, or a related field. · 2+ years of experience in business development, sales, or client servicing (experience in events or hospitality is a plus). · Experience in the Event Management Industry is a must. · Excellent communication, negotiation, and interpersonal skills. · Strong presentation and networking abilities. · Self-motivated, goal-oriented, and able to work independently. · Proficiency in MS Office and CRM tools. Key Responsibilities: · Identify and generate new business opportunities through networking, cold calling, and market research. · Build and maintain strong relationships with potential and existing clients. · Understand client needs and present tailored event solutions. · Collaborate with the internal event planning and marketing teams to develop customized proposals. · Create presentations and pitch decks for potential clients and corporate partners. · Negotiate contracts and close deals to meet or exceed sales targets. · Attend industry events, conferences, and exhibitions to promote the company and gather leads. · Maintain an up-to-date CRM database and generate regular sales reports. · Stay informed about market trends, competitor activities, and industry developments. Show more Show less

JD – AI/ML Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Required Experience - 6-7 years Location – Bangalore Work mode - Onsite The candidate who can join within 30 days Job Summary The AI/ML Engineer will lead end-to-end design, development, and deployment of advanced, value-driven AI/ML solutions for digital marketing and analytics. Drive innovation, leverage cutting-edge techniques, and standardize multi-cloud model deployment through collaboration, delivering profound data insights. Required Qualifications- Bachelor’s degree (or higher preferred) in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with emphasis on quantitative methods. 6-7 years’ experience in software engineering with deep, hands-on expertise in the full lifecycle of ML model development, deployment, and operationalization. Demonstrated ability to write highly robust, efficient, and scalable Python, Java, Spark, and SQL code, adhering to industry best practices. Extensive experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and advanced deep learning libraries, including optimization. Strong, in-depth understanding of diverse ML algorithms (e.g., advanced regression, classification, clustering, RNNs, CNNs, transformers, time series, reinforcement learning), sophisticated data structures, and enterprise software design. Significant experience deploying and managing AI/ML models on major cloud platforms (Azure, AWS, GCP). Proven experience with LLMs and generative AI (fine-tuning, prompt engineering, deployment) is highly desirable. Exceptional problem-solving skills in a fast-paced, collaborative remote environment. Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence diverse global teams remotely. Experience with classification, time series forecasting, customer lifetime value models, LLMs, and generative AI, preferably from the Retail, e-commerce, or CPG industry. Responsibilities- Lead cross-functional teams to deliver and scale complex AI/ML solutions (DL, NLP, optimization). Architect, design, develop, train, and evaluate high-performance, production-ready AI/ML models, ensuring scalability and robustness. Drive implementation, deployment, and maintenance of AI/ML solutions, optimizing inference, and documenting processes. Oversee data exploration, advanced preprocessing, complex feature engineering, and robust data pipeline development. Establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models to ensure accuracy and reliability. Partner with senior stakeholders to translate business requirements into scalable AI solutions that deliver measurable value. Act as a primary SME on AI/ML model development, MLOps, and deployment, influencing global data science platforms. Continuously research and champion the adoption of the latest AI/ML technologies, algorithms, and best practices to maximize business value. Foster innovative thinking and continuous improvement, seeking superior ways of working for teams and partners.

Skills: python, cloud plateform, Data Pipeline, Version control, ETL, API development, Docker, Kubernetes, JD - Data Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Experience : 5+ years Office visits : Required once a month Location : Multiple locations (Hybrid) Notice Period : Immediate joiners Job Summary We are seeking a skilled and experienced Data Engineer with strong Python expertise, API development experience, and a deep understanding of containerised, CI/CD-driven workflows. You will play a key role in designing, building, and scaling data pipelines and backend services that support our analytics and business intelligence platforms. This is a hands-on engineering role that requires a strong technical foundation and a collaborative mindset. We are looking for multiple locations such as Chennai, Mumbai, Bangalore, Pune, Gurgaon, Hyderabad Key Responsibilities Design, implement, and optimise robust, scalable data pipelines and ETL workflows using modern Python tools and libraries. Build and maintain production-grade RESTful and/or GraphQL APIs to serve data to internal and external stakeholders. Collaborate with Data Analysts, Scientists, and Engineering teams to enable end-to-end data solutions. Containerize data services using Docker and manage deployments within Kubernetes environments. Develop and maintain CI/CD pipelines using GitHub Actions to automate testing, data validations, and deployment processes. Ensure code quality through rigorous unit testing, type annotations, and adherence to Python best practices. Participate in architecture reviews, design discussions, and code reviews in an agile development process. Proactively identify opportunities to optimize data access, transformation, and governance. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. 5+ years of hands-on experience in data engineering or backend development roles. Expert-level Python skills, with a strong understanding of idiomatic patterns, async programming, and typing. Proven experience in building production-grade RESTful or GraphQL APIs using frameworks like FastAPI, Graphene, or Strawberry. Hands-on experience with Docker, container-based workflows, and CI/CD automation using GitHub Actions. Experience working with Kubernetes for orchestrating deployments in production environments. Proficient with SQL and data modelling; familiarity with ETL tools, data lakes, or warehousing concepts is a plus. Strong communicator with a proactive and self-driven approach to problem-solving and collaboration. Good-have Skills Familiarity with data orchestration tools (e.g., Airflow, Prefect). Experience with streaming data platforms like Kafka or Spark. Knowledge of data governance, security, and observability best practices. Exposure to cloud platforms like AWS, GCP, or Azure.

Skills: python, cloud plateform, Data Pipeline, Version control, ETL, API development, Docker, Kubernetes, JD - Data Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Experience : 5+ years Office visits : Required once a month Location : Multiple locations (Hybrid) Notice Period : Immediate joiners Job Summary We are seeking a skilled and experienced Data Engineer with strong Python expertise, API development experience, and a deep understanding of containerised, CI/CD-driven workflows. You will play a key role in designing, building, and scaling data pipelines and backend services that support our analytics and business intelligence platforms. This is a hands-on engineering role that requires a strong technical foundation and a collaborative mindset. We are looking for multiple locations such as Chennai, Mumbai, Bangalore, Pune, Gurgaon, Hyderabad Key Responsibilities Design, implement, and optimise robust, scalable data pipelines and ETL workflows using modern Python tools and libraries. Build and maintain production-grade RESTful and/or GraphQL APIs to serve data to internal and external stakeholders. Collaborate with Data Analysts, Scientists, and Engineering teams to enable end-to-end data solutions. Containerize data services using Docker and manage deployments within Kubernetes environments. Develop and maintain CI/CD pipelines using GitHub Actions to automate testing, data validations, and deployment processes. Ensure code quality through rigorous unit testing, type annotations, and adherence to Python best practices. Participate in architecture reviews, design discussions, and code reviews in an agile development process. Proactively identify opportunities to optimize data access, transformation, and governance. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. 5+ years of hands-on experience in data engineering or backend development roles. Expert-level Python skills, with a strong understanding of idiomatic patterns, async programming, and typing. Proven experience in building production-grade RESTful or GraphQL APIs using frameworks like FastAPI, Graphene, or Strawberry. Hands-on experience with Docker, container-based workflows, and CI/CD automation using GitHub Actions. Experience working with Kubernetes for orchestrating deployments in production environments. Proficient with SQL and data modelling; familiarity with ETL tools, data lakes, or warehousing concepts is a plus. Strong communicator with a proactive and self-driven approach to problem-solving and collaboration. Good-have Skills Familiarity with data orchestration tools (e.g., Airflow, Prefect). Experience with streaming data platforms like Kafka or Spark. Knowledge of data governance, security, and observability best practices. Exposure to cloud platforms like AWS, GCP, or Azure.

This is a full-time position with D Square Consulting Services Pvt Ltd. As a Senior Data Architect / Modeler, you will collaborate closely with various business partners, product owners, data strategy, data platform, data science, and machine learning teams to innovate data products for end users. Your role will involve shaping the overall solution architecture and defining models for data products using best-in-class engineering practices. By working with stakeholders, you will comprehend business requirements and design/build data models that support acquisition, ingestion processes, and critical reporting and insight needs. To be successful in this role, you must have a minimum of 12 years of experience, with at least 7 years in Data & Analytics initiatives. You should possess a deep understanding of how data architecture and modeling facilitate data pipelines, data management, and analytics. Additionally, you need 5+ years of experience in data architecture & modeling within Consumer/Healthcare Goods industries and hands-on experience in Cloud Architecture (Azure, GCP, AWS) and related databases like Synapse, Databricks, Snowflake, and Redshift. Proficiency in SQL and familiarity with data modeling tools like Erwin or ER Studio is crucial. Your responsibilities will include leading data architecture and modeling efforts in collaboration with engineering and platform teams to develop next-generation product capabilities that drive business growth. You will focus on delivering reliable, high-quality data products to maximize business value and work within the DevSecOps framework to enhance data & analytics capabilities. Collaborating with Business Analytics leaders, you will translate business needs into optimal architecture designs and design scalable and reusable models for various functional areas of data products while adhering to FAIR principles. In this role, you will also collaborate with data engineers, solution architects, and other stakeholders to maintain and optimize data models. You will establish trusted partnerships with Data Engineering, Platforms, and Data Science teams to create business-relevant data models and ensure the maintenance of Metadata Rules, Data Dictionaries, and associated lineage details. Additionally, staying updated with emerging technologies and mentoring other data modelers in the team will be a part of your responsibilities. Qualifications for this position include an undergraduate degree in Technology, Computer Science, Applied Data Sciences, or related fields, with an advanced degree being preferred. Experience in NoSQL and graphDB databases, as well as hands-on experience with data catalogs like Alation, Collibra, or similar tools, is beneficial. You should have a strong ability to challenge existing technologies and architecture while effectively influencing across the organization. Lastly, experience in a diverse company culture and a commitment to inclusion and equal-opportunity employment are desired traits for this role.,

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,

You should have at least 2+ years of hands-on experience in designing, developing, and deploying dashboarding, data visualizations, and analytics using Power BI. Additionally, you should be proficient in using the Power Query Editor tool within Power BI (or Excel) and have a good understanding of optimizing data layouts and table relationships within Power BI. Strong SQL query skills are essential for this role. Your communication skills, both written and oral, should be excellent. A thorough understanding of data visualization design best practices in Power BI is required. It would be a plus if you possess strong interpersonal skills for client interactions, have a knack for detailed work, exhibit strong organizational skills to manage multiple projects and deadlines, and can work effectively both independently and as part of a team. To qualify for this position, you should hold Bachelor's and Master's Degrees in Computer Science, Engineering, Statistics, Mathematics, Science, Technical, Information Systems, Information Technology, Business, Design, or a related field. As part of this role, you will be expected to guide the capabilities and functionalities of visualization tools, collaborate with interdisciplinary teams to analyze data and provide actionable insights to clients, create data visuals for client understanding, establish processes for monitoring data feeds visually, ensure high-quality work by reviewing the work of others, and document technical aspects in written reports and correspondence. This position is based in Bangalore and requires working from the office. The ideal candidate should be available to start within an immediate to 15-day notice period.,

JD - Data Engineer This is a full-time position with D Square Consulting Services Pvt Ltd. Location : Pan-india ( Hybrid). Experience : 5+ years. Notice Period : Candidates available to join immediately. Job Summary We are seeking a skilled and experienced Data Engineer with strong Python expertise, API development experience, and a deep understanding of containerized, CI/CD-driven workflows. You will play a key role in designing, building, and scaling data pipelines and backend services that support our analytics and business intelligence platforms. This is a hands-on engineering role that requires a strong technical foundation and a collaborative mindset. Key Responsibilities Design, implement, and optimize robust, scalable data pipelines and ETL workflows using modern Python tools and libraries. Build and maintain production-grade RESTful and/or GraphQL APIs to serve data to internal and external stakeholders. Collaborate with Data Analysts, Scientists, and Engineering teams to enable end-to-end data solutions. Containerize data services using Docker and manage deployments within Kubernetes environments. Develop and maintain CI/CD pipelines using GitHub Actions to automate testing, data validations, and deployment processes. Ensure code quality through rigorous unit testing, type annotations, and adherence to Python best practices. Participate in architecture reviews, design discussions, and code reviews in an agile development process. Proactively identify opportunities to optimize data access, transformation, and governance. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 5+ years of hands-on experience in data engineering or backend development roles. Expert-level Python skills, with a strong understanding of idiomatic patterns, async programming, and typing. Proven experience in building production-grade RESTful or GraphQL APIs using frameworks like FastAPI, Graphene, or Strawberry. Hands-on experience with Docker, container-based workflows, and CI/CD automation using GitHub Actions. Experience working with Kubernetes for orchestrating deployments in production environments. Proficient with SQL and data modeling; familiarity with ETL tools, data lakes, or warehousing concepts is a plus. Strong communicator with a proactive and self-driven approach to problem-solving and Skills : Familiarity with data orchestration tools (e.g, Airflow, Prefect). Experience with streaming data platforms like Kafka or Spark. Knowledge of data governance, security, and observability best practices. Exposure to cloud platforms like AWS, GCP, or Azure. (ref:hirist.tech)

This is a full-time Data Engineer position with D Square Consulting Services Pvt Ltd, based in Pan-India with a hybrid work model. You should have at least 5 years of experience and be able to join immediately. As a Data Engineer, you will be responsible for designing, building, and scaling data pipelines and backend services supporting analytics and business intelligence platforms. A strong technical foundation, Python expertise, API development experience, and familiarity with containerized CI/CD-driven workflows are essential for this role. Your key responsibilities will include designing, implementing, and optimizing data pipelines and ETL workflows using Python tools, building RESTful and/or GraphQL APIs, collaborating with cross-functional teams, containerizing data services with Docker, managing deployments with Kubernetes, developing CI/CD pipelines using GitHub Actions, ensuring code quality, and optimizing data access and transformation. The required skills and qualifications for this role include a Bachelor's or Master's degree in Computer Science or a related field, 5+ years of hands-on experience in data engineering or backend development, expert-level Python skills, experience with building APIs using frameworks like FastAPI, Graphene, or Strawberry, proficiency in Docker, Kubernetes, SQL, and data modeling, good communication skills, familiarity with data orchestration tools, experience with streaming data platforms like Kafka or Spark, knowledge of data governance, security, and observability best practices, and exposure to cloud platforms like AWS, GCP, or Azure. If you are proactive, self-driven, and possess the required technical skills, then this Data Engineer position is an exciting opportunity for you to contribute to the development of cutting-edge data solutions at D Square Consulting Services Pvt Ltd.,