413 Job openings found

  Key Responsibilities:● Design, build, and manage scalable cloud infrastructure using AWS.● Implement and optimize CI/CD pipelines using Jenkins and AWS CodePipeline.● Automate infrastructure provisioning and configuration using Terraform / Ansible● Manage and deploy containerized applications using Docker and Kubernetes.● Set up and maintain monitoring, logging, and alerting using tools like ...

Job Summary: PySpark Developer (with Python Migration Focus) - to design, develop, and optimize big data solutions, with a critical focus on migrating and modernizing existing Python data processing codebases within a Health Insurance Company.  The PySpark Developer will be a key member of the Data Engineering team, responsible for leveraging PySpark ...

Key Responsibilities: 1. Architecture & Deployment Design and implement highly available and scalable Elasticsearch clusters. Conduct architecture reviews, capacity planning, and performance optimization. Ensure robust security configurations, including access controls and encryption. 2. Data Migration Develop and execute data migration strategies, including snapshot and restore mechanisms. Ensure seamless data movement across multiple clusters while maintaining data integrity. 3. Observability & Monitoring Set up log collection pipelines using Beats ...

Job Title - CRM (Ahemdabad)Salary -   25 to 35Responsibilities:  Improve customer service experience, create engaged customers and facilitate organic growth  Take ownership of customers issues and follow problems through to resolution  Set a clear mission and deploy strategies focused towards that mission  Develop service procedures, policies ...

Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...

We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: o Build and optimize document classification & information extraction pipelines o Build Agentic AI for FinTech usacases o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks o Implement LLM ...

Role/ Job Title: Associate Relationship Manager- Corporate Coverage Function/ Department: Wholesale Banking Job Purpose: Spearhead business generation within stringent and dynamic regulations and bank's risk appetite to expand the volume of trade.   Roles & Responsibilities: Ensure seamless customer on boarding by ensuring best in-class customer servicing standards and processes and develop deep relationships to become the client's ...

Key Responsibilities  Model Development & Training  ○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).  ○ Implement data preprocessing pipelines, feature extraction, and  augmentation techniques.  ○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization  ○ Run model evaluations, benchmark against baselines, and perform ablation studies.  ○ ...

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 

Position: Senior full-stack .NET developer Location Coppell, TX – 3 days hybrid Visa US/GC   Job Description   Conceptualize, design, program, test, implement and deploy software applications using the appropriate documentation, processes, and quality standards.  Provide business and project expertise when collaborating with clients, IT resources, vendors, consultants and other stakeholders to identify the user requirements, assess ...