Careers DxMinds is a product Engineering Company, headquartered in USA having innovation labs at Bangalore.

Job Title: Inside Sales Executive Location: Bangalore Experience: 3–7 years Positions: 1 Notice Period: 30 days Job Summary: We are looking for a dynamic Inside Sales Executive to lead outbound sales and global lead generation regions like USA, UAE, Japan, and India. The ideal candidate will identify prospects, engage international clients, understand IT service needs, and schedule business meetings to drive revenue growth. Key Responsibilities:

• Generate leads through cold calls, emails, and LinkedIn outreach.
• Connect with international clients and understand their IT service requirements.
• Build strong client relationships and coordinate with internal teams.
• Manage the sales pipeline using CRM tools and achieve set targets.

Requirements:

• 3–7 years of experience in outbound sales, lead generation, and cold calling.
• Excellent English communication skills; experience with global clients preferred.
• Prior experience in IT service or technology solution sales.
• Proficiency with CRM and sales automation tools.
• Preferred: Experience in any international markets like (USA, UAE, Japan, India). Strong understanding of global business trends and IT solutions.

About the Company: Indo-Sakura Software Japan K.K. is a global IT solutions and consulting firm with offices in Japan and India, serving clients across the USA, UAE, Japan, and India. Founded in 2006, the company specializes in data engineering, AI, DevOps, and cloud services, helping enterprises accelerate digital transformation through innovation and quality service.

Job Title: DevOps Engineer (AWS, GCP, Digital Ocean) Location: Bengaluru Experience: 2–4 years Positions: 1 Work Mode: Work from Office Notice Period: Immediate joiner Job Summary: We are looking for a skilled DevOps Engineer to join our dynamic team in Bengaluru. The ideal candidate will be responsible for implementing, automating, and maintaining cloud infrastructure, CI/CD pipelines, and deployment processes to ensure seamless delivery of software solutions. Key Responsibilities:

• Design, build, and maintain CI/CD pipelines for continuous integration and deployment.
• Manage cloud infrastructure (AWS, Azure, or GCP) with focus on scalability and security.
• Automate provisioning, monitoring, and maintenance tasks using tools like Terraform, Ansible, or similar.
• Collaborate with development teams to streamline deployment processes and improve system reliability.
• Monitor performance, troubleshoot production issues, and implement best practices for system uptime.
• Ensure configuration management and version control using Git or similar tools.

Requirements:

• 2–4 years of hands-on experience in DevOps or related roles.
• Strong understanding of CI/CD tools (Jenkins, GitLab CI, or similar).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Proficiency in at least one scripting language (Python, Bash, or Shell).
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Strong problem-solving and communication skills.

Good to Have:

• Experience with monitoring tools (Prometheus, Grafana, ELK Stack).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Exposure to Agile and collaborative development environments.

About the Company: Indo-Sakura Software Pvt. Ltd., part of Indo-Sakura Software Japan K.K., is a global IT consulting and solutions firm headquartered in Tokyo with operations in Bengaluru. Since 2006, we have been delivering cutting-edge services in data engineering, AI, DevOps, and cloud technologies across Japan, the USA, UAE, and India, empowering enterprises through digital transformation and innovation.

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) (gen ai mandatory) Experience: 2+ Years (immediate) Location: Bangalore We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks. This role spans the entire AI/ML lifecycle — from ideation and architecture to deployment and optimization — with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (POC) development. You’ll be working at the forefront of Generative AI, LLMs, Computer Vision, and Vector Database-powered RAG systems to create next-generation intelligent applications. Key Responsibilities

• Design, develop, fine-tune, and deploy end-to-end AI/ML solutions.
• Work with both closed-source LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma).
• Architect and implement RAG pipelines using LangChain, LangGraph, CrewAI, and LlamaIndex.
• Build and integrate AI agents, Agentic AI workflows, and chatbots for real-world applications.
• Utilize Vector Databases (FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB) for semantic search and retrieval.
• Apply prompt engineering and few-shot learning to optimize model outputs.
• Develop computer vision solutions using YOLO and OpenCV for object detection, tracking, and video/image analytics.
• Create scalable APIs and backends with FastAPI or Flask.
• Perform EDA, data visualization, and ensure model explainability.
• Deploy and manage AI/ML models on AWS, Azure, or GCP.
• Rapidly deliver POCs and collaborate with cross-functional teams to validate solutions.
• Maintain version-controlled, reproducible ML pipelines.

Must-Have Skills

• Programming & Frameworks: Python, FastAPI
• GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers
• Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex
• Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB
• Computer Vision: OpenCV, YOLO object detection
• NLP & RAG: Text classification, summarization, NER, prompt design, RAG pipelines
• Model Lifecycle: Design, training, quantization, fine-tuning, deployment
• Cloud: AWS, Azure, GCP
• Databases: SQLite, PostgreSQL, MySQL, MongoDB (optional)
• Visualization Tools: Matplotlib, Seaborn, Plotly, Streamlit
• OS & Tools: Linux (CLI, scripting), Docker (optional), HuggingFace, chatbot platforms

Nice-to-Have

• Contributions to open-source or GitHub projects
• Experience with multi-modal LLMs
• Strong background in statistics or academic research
• Familiarity with startup-style POC pipelines and rapid experimentation

Educational Qualification: B.Tech, M.Tech, MCA, BCA, or Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or a related field.