We are hiring Senior Sales Consultant for one of our Prestigious Client. Location : Gurugram and Delhi Senior Sales Consultant Key Responsibilities : Conduct personalized, face-to-face consultations with HNI clients to understand their needs and offer tailored solutions. Apply a consultative selling approach to build trust and long-term relationships. Manage the end-to-end sales process from lead engagement to closure. Maintain strong client relationships and ensure high levels of customer satisfaction. Collaborate with internal teams to align sales efforts with organizational goals. Document all client interactions and feedback using CRM tools. Mandatory Skills & Qualifications : Graduate (Bachelors degree is mandatory) in any discipline. Excellent verbal and written communication skills in English. Consultative, one-on-one selling approach with a focus on relationship building. Direct experience working with HNI clients in face-to-face selling environments. Solid understanding of inside sales, B2C sales, and concept selling. Minimum 6+ years of relevant experience in a consultative or high-value sales role.
We are hiring Senior Machine Learning Engineer for an MNC Job Type : Direct , Fulltime role Location : PAN India (Remote) Senior Machine Learning Engineer Responsibilities Develop, implement, and maintain machine learning models using scikit-learn and SciPy. Build and deploy ML models for production use cases. Work with regression models and optimization techniques. Develop and integrate APIs using the Flask framework. Utilize GCP services (App Engine, Cloud Tasks, Dataflow, BigQuery, Bigtable, Vertex AI). Optimize CI/CD pipelines using Azure DevOps. Collaborate with cross-functional teams to deploy scalable ML solutions. Qualifications Strong proficiency in Python and core ML libraries Scikit-learn and SciPy. Hands-on experience with regression models and optimization techniques. Experience with Flask for API development and deployment. Proficiency in GCP services and ML operations on cloud infrastructure. Experience with CI/CD tools, especially Azure DevOps. Solid understanding of data structures, algorithms, and software engineering practices. Familiarity with Agile methodologies and technical documentation. Strong analytical, communication, and problem-solving skills.
We are hiring Fenergo Support Engineer for an MNC Job Type : Fulltime role Location : PAN India (Remote) Key Responsibilities: Provide expert-level technical support and guidance in the use and implementation of the Fenergo platform. Collaborate closely with cross-functional teams to ensure smooth integration and optimal system performance. Identify, troubleshoot, and resolve technical issues related to Fenergo. Contribute to the development and adoption of best practices to enhance the effective use of Fenergo across projects. Qualifications: Demonstrated hands-on experience working with Fenergo. Strong technical acumen with proven problem-solving capabilities. Excellent communication skills and a collaborative approach to teamwork. Ability to work independently while effectively managing time and priorities. Additional Information: The ideal candidate will be passionate about supporting Fenergo and driving project success. Flexibility and a proactive attitude in adapting to evolving project needs are essential.
Role & responsibilities AI ML Engineer Location: Bangalore/ Hyderabad Skills: Generative AI, LLM, Python, PyTorch, TensorFlow, Agentic AI
Role: AI ML Engineer Location: Bangalore Interview: F2F Skills: Computer Vision OCR 2D/3D Data Processing Gen AI LLM Python GCP
Location: Hyderabad, Pune, Bangalore. Positions 1. Basis with SQL, DB2 database 2. SAP Basis - Backup, Restore & Migrations 3. SAP Basis - BASIS activities like System Installations, Client Administration, System Refresh/Copy, and application update/upgrades 4. Automation Engineering & Cross Functions - Manage and support HANA and ASE databases, including performance tuning, backups, and recovery 5. SAF Basis & Database - Full SAP life-cycle experience using HANA, DB2 database (Desirable) technologies EXP in DR activities 6. NetWeaver Build - Full SAP life-cycle experience using HANA, DB2 database (Desirable) technologies Strong hold on SAP NetWeaver 7 or higher Working knowledge on ADS , NetWeaver , BTP 7. NetWeaver Build- Knowledge in Business Continuity, High Availability & Disaster Recovery topics Experience in S/4 Private Cloud Edition (PCE) side by side scenarios in which S/4 interacts with BTP applications
We are hiring Machine Learning Engineer for an MNC (Direct,Fulltime role) Location : Remote (Work From Home) Experience : Minimum 4+ Years Machine Learning Engineer Key Responsibilities: Design, build, and maintain ML pipelines using Vertex AI on GCP. Implement and manage CI/CD pipelines to support ML model deployment. Work with sensitive data, including Personally Identifiable Information (PII), ensuring compliance with data privacy standards. Collaborate with cross-functional teams to deliver scalable ML solutions. Required Skills: Proven experience with Google Cloud Platform (GCP) services. Strong expertise in Vertex AI and ML pipeline orchestration. Deep understanding of CI/CD best practices and tools. Experience handling and securing PII data in production environments.
We are hiring Data Engineer / Data Scientist Retail Analytics for an MNC (On Payroll of MNC) Job Type : Fulltime role Location : Remote Data Engineer / Data Scientist Retail Key Responsibilities : Develop and optimize data pipelines using DBT and Azure Databricks Work with cloud infrastructure, primarily Google Cloud Platform (GCP) Implement secure coding practices and ensure compliance with data privacy standards, especially when handling PII Work with diverse retail datasets, including offline (store sales) and online (ecommerce) data Process and analyze unstructured data from various sources Collaborate with cross-functional teams to productionize ML models Leverage domain expertise to drive insights and innovation in the retail space Required Skills: Hands-on experience with Google Cloud Platform and Azure Databricks Proficiency in DBT and SQL Strong understanding of secure coding and PII data handling Experience with offline and online retail datasets Familiarity with unstructured data formats and processing techniques Background in data science and deploying ML models Retail industry experience is a must