1520 Job openings found

Job Description seeking a Power BI Developer with strong expertise in database technologies to design, develop, and implement business intelligence solutions. The ideal candidate will possess advanced Power BI skills along with hands-on experience in database design, development, and optimization. This role involves working with large datasets, ensuring data integrity, and ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

Job Description BASIC PURPOSE: Assistant Manager/STL – Fullstack is responsible for planning, designing and delivering high quality Web and Mobile Applications. Instrumental in understanding functional requirements, guiding teams through deliveries, profiling and improving front-end and back-end application performance, mentor team members and take end to end ownership of applications. ESSENTIAL FUNCTIONS:      ·       Design, build and implement ...

Hi All,   We are Hiring for AI/ML Engine AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students  Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.   Task:   Design and train ML models for student behavior prediction and content recommendation Build recommendation systems, personalizing study ...

CSB BankRole : Data EngineerData & AnalyticsLocation - Thane, Maharashtra, India (Mumbai Turbhe Office )Full-time RoleJob Description1. Data Engineer role is to design, build, and maintain scalable, reliable, and efficient data infrastructure that enables real-time and batch data processing across cloud and on-premise environments.2. This role ensures that high-quality, well-structured ...

Job Details:   Job Title: Infrastructure Engineer – CDK for Terraform (CDKTF) with TypeScript Experience: 4+ years Location:Remote Notice Period: Immediate or within 1 week Working Hours: 8 hrs/day | 40 hrs/week   Role Overview: We are currently hiring for an Infrastructure Engineer role on behalf of our client, Turing. This is a remote, contract-based opportunity for professionals skilled in CDK for Terraform (CDKTF) and Typescripts. Please ...

Opening for VP/Senior Solution Architect/Head of Engineering for a leading IT Consulting Company at Chennai Location Position: VP/Senior Solution Architect/Head of Engineering Exp: 17-25 years Location: Chennai Reporting To: CTO / CEO Function: Technology Leadership Type: Full-Time | Executive Level   Key Responsibilities Shape and evolve multi-domain technology roadmap. Lead enterprise architecture initiatives across cloud platforms (AWS, Azure, GCP), data platforms, AI/ML, security, and application layers. Champion modern, scalable, secure, and future-ready platforms using microservices, event-driven architecture, and API-first designs. Lead and mentor distributed engineering teams across geographies and domains. Establish high-performance engineering practices including Agile, CI/CD, DevSecOps, SRE, and container-based infrastructure. Foster a culture of excellence, ownership, and continuous innovation with robust observability and DevOps at scale. Collaborate with business, product, and sales teams to design solutions that solve real-world problems. Ensure architectural consistency, scalability, and resilience across projects and domains.   Experience Required: 17–25 years of progressive experience in technology roles. At least 7+ years in senior/executive leadership positions. Demonstrated success in scaling engineering teams, driving platform-led transformations, and leading enterprise-scale architecture. Proven leadership across multiple industries—ideally FinTech, HealthTech, Retail, or Industrial/Manufacturing.   Skills Stack: Cloud Platforms: AWS, Azure, GCP Architecture & Design: Microservices, APIs, Event-Driven Architecture Data & AI/ML: Data platforms, machine learning, analytics infrastructure DevOps & Operations: CI/CD, DevSecOps, SRE, Containers (Docker/Kubernetes), Observability tools Methodologies: Agile, Lean, XP, and innovation delivery at speed.   Education Qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field (required). Master’s degree preferred. Patents, research publications, or open-source contributions are a strong plus. Prior experience in high-growth, startup-to-scale-up environments is highly desirable.  

Sarine Technologies is a leading technology company in the worldwide diamondindustry. We provide multi-disciplinary products based on cutting-edge technology thatcover the entire journey of a diamond, from mining to grading for sale in stores.Our cloud-based solutions consist of various components that enable clients to interact with the cloud, including web front-ends ...

🔹 Key Responsibilities Design and build robust, scalable data pipelines and models. Transform raw data into actionable business insights. Develop ML models to automate processes and support predictions. Deploy and manage solutions using cloud platforms like Azure, Databricks, and ADLS. Ensure security, quality, and compliance across all solutions. Monitor systems, resolve issues, and drive root-cause fixes. Collaborate ...

Job description The Data Lab brings together Data Science and Software engineering skills to develop anddeploy solutions that improve the company's processes, products and services.The team seeks to make use of AI and data science techniques and to implementdevelopment best practices to deploy applications and APIs on Docker/Kubernetesinfrastructures, in Apache Airflow ...