OMNI HIRE is hiring for its esteem client which is a leading IT company. our client is is seeking Growth Architects to accelerate enterprise sales across Large Corporates and Government Sales. If you thrive on driving digital transformation and building lasting CxO relationships, this opportunity is for you! Locations: Delhi, Mumbai Experience: 6–10+ years in enterprise sales Compensation: ₹8 LPA–₹15 LPA Department: Enterprise Sales Reports to: Head – Enterprise Sales Enterprise Account Leadership Must have govt sales experience. Drive strategic growth plans for key enterprise accounts Build and nurture CxO/CIO relationships; identify upsell & cross-sell opportunities Ensure high client retention and satisfaction Manage the full sales funnel from prospecting to closure Identify new opportunities across focus sectors (Manufacturing, Healthcare, Large Corporates) Collaborate with solution and commercial teams for powerful pitches Solution Expertise Position cloud, SaaS, digital transformation, hospital management, IT services, and cybersecurity as business enablers Translate complex technologies into clear business value Stay ahead of industry trends to inform client strategy Cross-functional Collaboration Partner with delivery, marketing, and support teams to ensure seamless client success Participate in strategic reviews to align on company objectives Executive Communication & Storytelling Craft compelling presentations and proposals for boardroom engagements Lead high-impact discussions with clarity and insight Market Intelligence Leverage domain expertise in Manufacturing, Healthcare, and BFSI Monitor market trends, client shifts, and competitive moves Travel Flexibility Willingness to travel frequently across India (and internationally as needed) Requirements7–10+ years of enterprise sales experience in large corporate environments and government sales Proven track record in selling digital solutions (Cloud, SaaS, Cybersecurity, etc.) Bachelor’s degree required; MBA preferred Excellent communication, presentation, and stakeholder-management skills What We Offer Supportive Management: Our customer’s leadership culture is built on mentorship and hands-on guidance—no wonder 69% of employees would recommend the company for career support. Rapid Learning Opportunities: In-house Learning Program spans 50+ training centers nationwide, delivering continuous upskilling in hardware engineering, systems integration, and telecom. Work-Life Balance: “Good work-life balance is the main highlight while working here,” according to numerous employee reviews. Positive Work Environment Team members praise the collaborative culture, calling out flexible policies and a truly supportive atmosphere. Career Growth: Be part of a ₹240 crore organization growing at 35% year-on-year, with clear paths for fast-tracked advancement. Job Security: As India’s largest third-party maintenance network—supporting 30,000+ machines—CMS offers stability and long-term prospects. Innovation & Impact: Drive digital initiatives for marquee clients like L&T, Philips, and HLL, solving real-world challenges at scale. Show more Show less

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits Show more Show less