Build the Future With Us

Role Summary We are seeking an experienced Databricks AI/ML Engineer with approximately 8 years of experience to design, develop, and deploy scalable machine learning and data engineering solutions on Azure Databricks. The role combines end-to-end ML engineering, MLOps, and Lakehouse-based data engineering, with a focus on reliable, secure, and production-ready solutions that address business and operational needs. Key Responsibilities ● Design, develop, and deploy machine learning solutions using Azure Databricks and PySpark. ● Build end-to-end ML pipelines covering data preparation, feature engineering, model training, validation, deployment, and ongoing monitoring. ● Develop predictive and prescriptive analytics solutions for business and operational use cases. ● Implement MLOps practices for model versioning, monitoring, lifecycle management, and controlled releases. ● Create reusable notebooks, data-processing frameworks, ML accelerators, and engineering components. ● Process large-scale structured and unstructured datasets using Apache Spark and Databricks. ● Build and maintain ETL/ELT frameworks to ingest data from multiple enterprise source systems. ● Develop and optimize Delta Lake-based Lakehouse solutions and implement batch and real-time data-processing workflows. ● Automate model retraining and establish mechanisms to monitor model performance and operational health. ● Optimize model performance, scalability, processing efficiency, and overall solution reliability. ● Collaborate with business stakeholders, data engineers, data scientists, architects, and reporting teams to translate requirements into practical AI/ML and data solutions. ● Troubleshoot production issues, perform root-cause analysis, and implement corrective and preventive measures. ● Ensure data quality and adherence to enterprise data governance, security, privacy, and compliance standards. ● Participate in code reviews and promote sound engineering, testing, documentation, and development practices. ● Contribute to CI/CD automation and DevOps implementation for data and ML platforms. Required Skills and Experience ● Approximately 8 years of relevant experience in AI/ML engineering, data engineering, or related roles. ● Hands-on experience with Azure Databricks, Apache Spark, and PySpark. ● Experience building and operationalizing end-to-end machine learning pipelines. ● Strong understanding of feature engineering, model training, validation, deployment, and model performance monitoring. ● Practical knowledge of MLOps principles, model versioning, and ML lifecycle management. ● Experience with ETL/ELT design, data transformation, and large-scale data processing. ● Experience with Delta Lake and Lakehouse architecture concepts. ● Understanding of batch and real-time data-processing patterns. ● Familiarity with CI/CD, DevOps practices, code reviews, and automated deployment workflows. ● Ability to troubleshoot complex issues and optimize solutions for performance, scalability, and reliability. ● Strong collaboration and communication skills, with the ability to work across technical and business teams. Preferred Qualifications ● Experience delivering production-grade AI/ML solutions on Azure. ● Exposure to automated retraining, model drift detection, and model monitoring approaches. ● Experience working with enterprise data governance, access controls, and compliance requirements. ● Experience creating reusable frameworks or accelerators that improve development consistency and productivity.

Job Title: Business Development Executive Experience: Fresher to 3 Years Location: Noida, Sector - 59 Employment Type: Full-Time About the Role We are looking for a dynamic and enthusiastic Business Development Executive (BDE) to join our growing team. The ideal candidate should possess outstanding communication skills, a confident personality, excellent interpersonal abilities, and a proactive attitude. This role is ideal for fresh graduates who are eager to build a career in business development and client engagement. Key Responsibilities Identify and connect with potential clients through calls, emails, LinkedIn, and other business channels. Generate qualified leads and schedule meetings for the sales team. Build and maintain strong relationships with prospective and existing clients. Understand client requirements and present suitable company offerings. Follow up consistently with leads to maximize conversion opportunities. Maintain accurate records of leads, client interactions, and sales activities in CRM or tracking systems. Collaborate with internal teams to ensure a smooth client onboarding process. Stay updated on industry trends, competitors, and market opportunities. Required Skills & Qualifications Bachelor's degree in Business Administration, Marketing, Commerce, or any relevant discipline. Fresher or up to 1 year of experience in Business Development, Sales, or Client Relations. Excellent verbal and written communication skills. Confident, presentable, and professional personality. Strong interpersonal and relationship-building skills. Good negotiation and persuasion abilities. Strong common sense and problem-solving mindset. Self-motivated, responsible, and eager to learn. Basic knowledge of MS Office and internet research.

Job Title: Data Engineer Experience: 2–5 Years Location: Noida, Sector - 59 Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Candidates must have graduated in 2023 or earlier. Key Responsibilities ● Design, develop, and maintain scalable ETL/ELT pipelines. ● Build and optimize data ingestion workflows from multiple structured and unstructured data sources. ● Develop and maintain robust data models, data warehouses, and data lakes. ● Write efficient SQL queries for data extraction, transformation, and analysis. ● Ensure data quality, integrity, governance, and security across data platforms. ● Optimize data pipeline performance and troubleshoot production issues. ● Work with cross-functional teams to understand business requirements and deliver scalable data solutions. ● Implement data validation, monitoring, and logging mechanisms. ● Automate recurring data engineering tasks using Python and workflow orchestration tools. ● Follow best practices for version control, CI/CD, documentation, and code reviews. Required Skills ● 2–5 years of experience as a Data Engineer. ● Strong proficiency in Python and SQL. ● Hands-on experience with ETL/ELT development and data pipeline creation. ● Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). ● Knowledge of relational and NoSQL databases. ● Experience with data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse. ● Experience with workflow orchestration tools like Apache Airflow. ● Familiarity with distributed data processing frameworks such as Apache Spark or PySpark. ● Understanding of data modeling concepts and database optimization techniques. ● Experience with Git and CI/CD practices. ● Strong analytical, debugging, and problem-solving skills.

Position: Python AI Developer Experience: 2–4 Years Location: Noida, Sector- 59 Employment Type: Full-Time Key Responsibilities ● Design, develop, and maintain scalable backend applications using Python. ● Build and deploy AI-powered solutions leveraging Generative AI, RAG (Retrieval-Augmented Generation), and LLM-based architectures. ● Develop RESTful APIs using FastAPI (mandatory) and Django. ● Implement intelligent workflows and agent-based systems using LangGraph. ● Work with Vector Databases for semantic search and knowledge retrieval. ● Integrate and optimize Large Language Models (LLMs) for production-grade applications. ● Design and manage database solutions using SQL and NoSQL databases. ● Deploy, monitor, and maintain applications on AWS, Azure, or GCP. ● Containerize applications using Docker and orchestrate deployments using Kubernetes. ● Collaborate with cross-functional teams to design, develop, and deliver AI-driven products. ● Write clean, maintainable, and well-documented code following best practices. Must-Have Skills Python | FastAPI | Django | RAG | GenAI | LangGraph | Vector Databases | SQL/NoSQL | AWS/Azure/GCP | Docker | Kubernetes