Job Title: Operations Research Scientist Key Responsibilities 1. Model Development Translate business requirements in to solid and detailed mathematical problems Design and build mathematical optimization models (like linear, integer, nonlinear programming, mixed integer linear, stochastic optimization, heuristics, dynamic programming or RL-based optimization) Develop stochastic models \ simulation models to analyse system performance and its evolution; play-out scenarios and predict behaviour under varying conditions Verify models with actual data, identify gaps, modify model parameters, fine-tune and check sensitivity for more aligned performance. 2. Implementation & Deployment Collaborate with engineering teams to integrate models into production environments, ensuring scalability and reliability Test and validate models for accuracy, usability, and alignment with business objectives Design monitoring systems to track model performance over time Iteratively improve models based on real-world feedback and changing conditions 3. Communication & Collaboration Translate complex technical concepts into clear, actionable insights for non-technical stakeholders Create compelling stories, analysis, documents and dashboards to illustrate model outputs and recommendations Present findings to executive leadership, highlighting business impact and ROI Work cross-functionally with business units to understand core operational challenges and requirements Train and support end users in interpreting and applying model outputs Required Qualifications 1. Education Master's Operations Research, Industrial Engineering, Applied Mathematics, or related field 2. Technical Skills Strong programming skills in at least one language commonly used for optimization (Python, C++, C, Java) Proficiency with optimization solvers (e.g., Gurobi, CPLEX etc) Competent in developing mathematical optimization models using mathematical modeling languages such as OPL, GAMS, AMPL or develop with Pyomo, Gurobipy, etc. Proficient in code driven simulation models and software driven (AnyLogic, Arena etc) Experience with statistics, data analytics and visualization 3. Experience 3+ years experience applying OR techniques to solve business problems 4. Soft Skills Ability to translate high-level requirements and deadlines into shorter-term work tasks, self-direct work and collaborate Excellent communication skills with demonstrated ability to explain complex concepts to non-technical audiences Experience deploying models in production and real-world environments Preferred Qualifications PhD in Operations Research, Applied Mathematics, or related field Experience with cloud computing platforms (AWS, Azure, GCP) Ability to analyse system design and process design, and build wholistic solutions Knowledge of machine learning techniques and their integration with OR approaches Familiarity with visualization tools (Tableau, Power BI) and dashboard creation Industry experience in logistics, airlines, supply chain, manufacturing, or healthcare Publications in relevant conferences or journals Success in this Role The ideal candidate doesn't just build elegant models that work in theory but creates practical solutions that deliver real business value in complex, dynamic environments. They posses strong analytical skills and Role & responsibilities Preferred candidate profile

Job Summary: We are seeking a Snowflake Solution Architect to drive technical sales, solution design, and client engagement for Snowflake-based data solutions. This role requires a deep understanding of Snowflakes architecture, data engineering, cloud ecosystems (AWS/Azure/GCP), and analytics workflows. The ideal candidate will work closely with sales teams, customers, and partners to showcase Snowflakes capabilities, provide technical guidance, and ensure successful adoption. Key Responsibilities: Solution Architecture : Act as a trusted advisor to clients, understanding business challenges and recommending Snowflake-based solutions. Design and present Snowflake architecture, data pipelines, and integration strategies tailored to customer needs. Develop proof-of-concept (POC) and demos to showcase Snowflake’s capabilities. 2. Technical Consultation & Client Engagement: Conduct technical discovery sessions with clients to assess their data architecture, workflows, and pain points. Provide best practices for performance optimization, security, data governance, and cost efficiency in Snowflake. Assist in RFPs, RFIs, and technical documentation for customer proposals. 3. Collaboration & Enablement: Work closely with sales, product, engineering, and customer success teams to drive Snowflake adoption. Conduct workshops, webinars, and training sessions for clients and partners. Stay updated with Snowflake’s latest features, roadmap, and industry trends. 4. Integration & Ecosystem Expertise: Provide guidance on integrating Snowflake with ETL tools (dbt, Matillion, Informatica, Fivetran), BI tools (Tableau, Power BI), and AI/ML frameworks (Databricks, Python, TensorFlow). Understand multi-cloud strategies and data migration best practices from legacy systems to Snowflake. Required Skills & Qualifications: Experience: 10+ years in data architecture, pre-sales, or solution consulting, with 3+ years of Snowflake hands-on expertise. Technical Expertise: Deep knowledge of Snowflake’s architecture, SnowSQL, Snowpipe, Streams, Tasks, Stored Procedures. Strong understanding of cloud platforms (AWS, Azure, GCP). Proficiency in SQL, Python, or scripting languages for data operations. Experience with ETL/ELT tools, data integration, and performance tuning. Familiarity with data security, governance, and compliance standards (GDPR, HIPAA, SOC 2). Soft Skills: Excellent communication, presentation, and client engagement skills. Ability to translate complex technical concepts into business value propositions. Strong problem-solving and consultative approach. Preferred Locations: Offshore [Kochi, Trivandrum, Chennai, Pune, Kolkata]Role & responsibilities Preferred candidate profile

Data Architecture Design and Implementation: Design and implement cloud-based data architectures leveraging Databricks, AWS, Azure, or GCP. Architect end-to-end data pipelines that integrate with Databricks and other cloud services. Ensure that the data architecture supports both batch and real-time data processing and analytics. Leverage Databricks Delta Lake for data storage, management, and processing. Data Integration: Integrate data from various sources, including operational databases, data lakes, and third-party APIs. Work with teams to ensure seamless ETL/ELT processes within the Databricks environment Collaborate with data engineers to build data ingestion pipelines and automate data workflows. Optimization and Performance Tuning: Optimize Databricks Spark workloads for performance, cost, and scalability Monitor and tune Databricks clusters to ensure optimal performance for analytics and data science workflows Identify and resolve performance bottlenecks in data pipelines, storage, and queries. Collaboration with Data Teams: Implement data governance practices to ensure the integrity, security, and compliance of data within Databricks Ensure that the architecture adheres to industry standards for data security, privacy, and compliance (e.g., GDPR, CCPA). Leverage Databricks' built-in features for role-based access control, data encryption, and auditing Security and Governance: Implement data governance practices to ensure the integrity, security, and compliance of data within Databricks Ensure that the architecture adheres to industry standards for data security, privacy, and compliance (e.g., GDPR, CCPA) Leverage Databricks' built-in features for role-based access control, data encryption, and auditing. Cloud Infrastructure and Automation: Design and manage cloud infrastructure for Databricks, ensuring high availability and fault tolerance. Automate infrastructure provisioning, deployment, and monitoring processes using tools like Terraform or CloudFormation. Continuously evaluate and recommend cloud solutions to improve efficiency and scalability Continuous Improvement and Innovation: Stay up to date with the latest Databricks features, best practices, and industry trends. Propose innovative solutions to enhance data architecture and workflows based on new technologies and methodologies. Mentor junior data engineers and developers on Databricks best practices. Skills and Qualifications: Educational Background: Bachelors or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Certifications: Databricks Certified Professional Data Engineer AWS Certified Solutions Architect or similar certification Google Cloud Professional Data Engineer or Azure Data Engineer certifications are a plus. Soft Skills: Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical audiences. Detail-oriented with a strong focus on quality and accuracy. Capable to collaborate with cross-functional teams, including customers, partners and business stakeholders. Experience: Experience with machine learning frameworks and pipelines, particularly in Databricks. Familiarity with containerized environments (e.g., Docker, Kubernetes) for deploying data workflows. Should be able to do Model development, deployment and AI/ GEN AI use case implementation using Databricks platform & its services Work Environment: Collaborative and fast-paced work environment. Opportunity to work with state-of-the-art technologies. Supportive and dynamic team culture Preferred candidate profile

Key Responsibilities: Generate new business opportunities by identifying, qualifying, and closing clients looking for CXO-level and leadership hiring solutions in the U.S. Build and nurture relationships with key decision-makers (CHROs, Talent Heads, CXOs) at mid to large enterprises. Understand client requirements deeply and pitch customized executive search services. Collaborate with internal delivery teams to ensure successful onboarding and client satisfaction. Attend virtual meetings, industry events, and networking sessions relevant to U.S. executive hiring. Maintain CRM records and track all outreach and conversion metrics. Requirements: Minimum 4 years of experience in business development or sales in the executive search / leadership hiring / CXO recruitment domain. Proven success in acquiring and managing clients from the U.S. recruitment/staffing market. Strong understanding of retained and contingency search models. Excellent communication, presentation, and negotiation skills. Self-starter with the ability to work independently in a remote setup. Familiarity with CRM tools and LinkedIn-based prospecting. Preferred (Good to Have): Existing client relationships in the U.S. enterprise segment. Experience working in or with top-tier executive search firms. Ability to understand and pitch high-level leadership hiring solutions. Role & responsibilities Preferred candidate profile

Job Description : We are looking for a skilled and motivated Frontend Developer with 34 years of hands-on experience in React JS , Node JS , and SQL . The ideal candidate will be responsible for building responsive, user-friendly web applications while collaborating with cross-functional teams to deliver high-quality software solutions. Key Responsibilities : Develop and maintain modern web applications using React JS. Integrate and manage backend services using Node JS. Write optimized SQL queries for database operations. Collaborate with UI/UX designers and backend developers. Ensure high performance and responsiveness across platforms. Requirements : 3–4 years of experience in React JS, Node JS, and SQL. Strong understanding of REST APIs and web services. Familiarity with Git and version control tools. Good communication skills and the ability to work independently in a remote environment.

Job Title: Digital Twin Engineer (5-6 Years’ Experience, XMPro or Similar) Role Overview: Seeking an experienced Digital Twin Engineer to design, develop, and implement digital twins for assets using XMPro or comparable platforms. The ideal candidate will leverage IoT Sensors, data integration, and simulation technologies to optimize asset performance, enable predictive maintenance, and drive process improvements within manufacturing environments. Key Responsibilities: Digital Twin Development: Architect and implement digital twins for critical assets using XMPro or similar platforms. Create, calibrate, and maintain high-fidelity virtual models that mirror the structure, behavior, and performance of physical systems. Integrate real-time data from IoT sensors, controllers, and enterprise systems. Data Integration & Analysis: Develop and maintain data pipelines to extract, transform, and load data from operational technology (OT) systems into digital twin environments. Analyze digital twin data to extract actionable insights for asset optimization and process improvement. Simulation & Optimization: Use digital twins to simulate operational scenarios, predict failures, and recommend corrective actions. Balance trade-offs between model accuracy, execution speed, and computational efficiency. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (engineering, operations, IT) to ensure alignment on digital twin objectives and integration strategies. Present findings and recommendations to technical and non-technical stakeholders. Continuous Improvement: Stay updated on the latest trends in digital twin technology, IoT, and data analytics. Identify and implement opportunities for process automation and innovation within manufacturing operations. Required Qualifications & Skills: Bachelor’s or Master’s degree in Engineering, Computer Science, or related field. 5-6 years’ hands-on experience building and deploying digital twins for industrial assets, preferably in FMCG or manufacturing. Proficiency with XMPro or similar digital twin/IoT platforms. Strong knowledge of IoT, data integration, and real-time data processing. Experience with simulation software and/or modeling tools. Programming skills (e.g., Python, C#, Java) are a plus. Familiarity with cloud computing and hybrid IT environments. Excellent analytical, problem-solving, and communication skills. Proven ability to work in cross-functional, agile teams. Preferred: Experience with AI/ML for predictive analytics in manufacturing. Knowledge of OPC UA, SCADA, MES, or other industrial protocols. Experience in process optimization and asset management in FMCG. This role offers the opportunity to drive digital transformation in a fast-paced environment, leveraging cutting-edge digital twin technologies to unlock new levels of operational excellence

Are you a results-driven Digital Lead with a passion for crafting engaging content and executing impactful campaigns? We're looking for a creative and strategic individual to drive our digital marketing efforts. In this role, you'll be instrumental in showcasing our innovative AI solutions to a diverse range of industries, supporting our sales and product teams, and significantly contributing to our market presence. If you're ready to take ownership of digital initiatives and make a tangible impact, this role is for you! --- What You'll Do Product Line Comprehension: Dive deep into CBC's diverse product line (IBP, Procurement, Manufacturing, Chatbots, Digital Imaging Diagnostics, etc.) to thoroughly understand our AI solutions and their value propositions across various sectors. Digital Content & Design Leadership: Lead the creation of compelling digital content, including presentations (PPTs), one-pagers, engaging blog posts, and contribute to UI/UX design for our digital assets to ensure a consistent and user-friendly experience. You'll bring expertise in selecting appropriate fonts, developing cohesive color palettes, and ensuring all designs are visually appealing using latest technologies. Digital Campaign Creation: Develop, implement, and manage end-to-end digital campaigns across various channels to generate leads and increase brand awareness in our target industries. Campaign Ownership: Take full ownership of digital campaigns, from strategy and execution to performance monitoring and optimization. This includes managing email-blitz campaigns to nurture leads and engage prospects effectively. Cross-Functional Collaboration: Work closely with the sales team, inside sales team, and product teams to align digital strategies with business objectives, ensuring content and campaigns effectively support their goals. Performance Analysis: Monitor and analyze the performance of all digital initiatives, providing insights and recommendations for continuous improvement. --- Who You Are Experienced Digital Marketer: You have 5+ years of proven experience in digital marketing, with a strong portfolio showcasing your expertise in content creation, campaign management, and digital strategy. Similar experience in the manufacturing, pharmaceuticals, retail, F&B industries or with solutions related to IBP, Procurement, Manufacturing, Chatbots, or Digital Imaging Diagnostics is a must. Design & Brand Aesthetic Expert: Demonstrated ability to design effective digital content formats, including written (blogs, one-pagers) and visual (PPTs, UI/UX input). You possess a keen eye for aesthetics, with proven experience in typography, color theory, and creating visually appealing designs that resonate with target audiences. Campaign Management Expert: You have a solid track record of successfully planning, executing, and optimizing digital campaigns, including email marketing. Collaborative Team Player: You thrive in a collaborative environment and can effectively partner with sales, inside sales, and product teams to achieve shared goals. Analytical & Data-Driven: You're comfortable with data analysis to measure campaign performance and make informed decisions. Market Awareness: Understanding of digital marketing trends and consumer behavior in the Indian market, particularly across diverse industries like manufacturing (including a wide variety of sub-sectors), pharma, retail, and F&B, is beneficial. --- Compensation Base Salary: A competitive fixed salary commensurate with your experience and responsibilities. Variable Compensation: An exciting variable compensation plan directly linked to the success of your digital initiatives, contributing to lead generation, engagement, and overall business growth. Your performance directly impacts your earnings! Role & responsibilities Preferred candidate profile