Gocool Inc

Primary Responsibilities (Defines the prime focus areas of the job) ● Identifying and acquiring new customers, as well as up-selling to existing customer bases across the region. ● Analyzing market trends and competitors’ activities in the region. ● Conducting market analysis and gathering intelligence to ascertain market needs to plan offerings ● Carrying out existing/new customer analysis to understand requirements for cross selling during onboarding/closure and or building better customer relationship ensuring customer service quality is managed. ● Effectively managing and driving the sales cycle from prospection through to successful closure. ● Building strong relationships with key accounts in the region. ● Building a sustainable and robust pipeline and ensuring accurate and rigorous forecasting and planning. ● Developing and implementing sales strategies and plans to meet regional revenue goals. ● Prepare regular reports and conduct monthly meetings to review performance. ● Developing and executing plans for improving overall performance of the region which includes increasing customer base, customer on boarding, company policy and process adherence, improving financial performance etc ● Preparing or validating various reports needed to be submitted for management information periodically ● Achieving monthly targets without compromising on the quality of the customers on boarded. ● Monitoring, developing and or supporting capability of team members/ performance and provide timely feedback Key Deliverables (Key result areas- How is the success in the position measured? – This will be useful for performance appraisal) - - - - - Increase in regional sales Increase in market share of the product Customer management Market study and analysis Team performance management Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Health insurance Paid time off Provident Fund Work Location: In person

You’ll be a strategic technologist who partners closely with finance, strategy, and engineering stakeholders to develop scalable, AI-powered analytics solutions that drive insights, forecast performance, and optimize financial outcomes. This is a high-visibility, impact-driven role where you’ll architect next-gen data ecosystems. Responsibilities include: Hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform.Deep and demonstrable expertise across the Google Cloud Data & AI stackWork collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless executio n. Lead the end-to-end technical pre-sales cycle for the most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape Leading the architecture and development of cloud-native augmented analytics solutions on GCP, using BigQuery, Looker, Vertex AI, and other Google Cloud technologies. Building and scaling Gen AI applications using Vethertex AI to support dynamic planning, financial scenario modeling, predictive forecasting, and automated executive summaries. Provide deep technical expertise on Google Cloud's Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. Lets connect to know more. Job Type: Full-time Pay: ₹6,500,000.00 - ₹7,000,000.00 per year Benefits: Health insurance Paid time off Provident Fund Work from home Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Speak with the employer +91 9999306447

We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Key Responsibilities: Own the end-to-end technical architecture and solution integrity during project delivery. Translate solution blueprints into detailed technical designs, backlog, and integration plans.Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices. Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation. Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations. Resolve system integration challenges across APIs, knowledge stores, and orchestration layers. Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc. Required Skills 12+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery. Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings. Strong Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn). Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone). Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow . Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow. Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI is a big plus. Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse). Expertise in containerization (Docker) and orchestration (Kubernetes). Job Type: Full-time Pay: ₹7,000,000.00 - ₹8,000,000.00 per month Benefits: Health insurance Paid time off Provident Fund Work from home Work Location: In person Speak with the employer +91 9999306447

We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Key Responsibilities: Own the end-to-end technical architecture and solution integrity during project delivery. Translate solution blueprints into detailed technical designs, backlog, and integration plans.Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices. Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation. Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations. Resolve system integration challenges across APIs, knowledge stores, and orchestration layers. Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc. Required Skills 12+ years in software architecture or engineering with 5+ years in applied AI/ML system delivery. Experience in productionizing AI/ML models and building full-stack AI applications in enterprise settings. Strong Python development skills; proficiency in ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn). Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant, Pinecone). Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow . Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow. Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen, CrewAI is a big plus. Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway) and/or Azure (Azure ML, OpenAI, Synapse). Expertise in containerization (Docker) and orchestration (Kubernetes). Job Type: Full-time Pay: ₹7,000,000.00 - ₹8,000,000.00 per month Benefits: Health insurance Paid time off Provident Fund Work from home Work Location: In person Speak with the employer +91 9999306447