824 Job openings found

Job Details:   Job Title: Prompt Engineer  Experience:6 to 10 Years Type:Remote  | Full-time Employment Notice Period: Immediate to 30 Days   Role Overview: We are seeking skilled professionals with expertise in Prompt Engineering to enhance the performance and accuracy of Large Language Models (LLMs) across a variety of complex tasks, including intelligent data extraction from scanned documents and text automation.   Key Responsibilities: Design, test, and optimize ...

Strategic Sourcing:  Develop and implement procurement strategies for APIs and raw materials, ensuring alignment with company goals.    Supplier Management:  Identify, qualify, and onboard new domestic and international suppliers, and build strong, long-term relationships.    Negotiation:  Lead high-value negotiations for favorable pricing, terms, and credit conditions, and manage contracts with suppliers.    Compliance and Quality:  Ensure all procurement activities and ...

Good Knowledge of USFDA/ EDQM /ANVISA / and all other regulatory & CGMP awareness. Strategic oversight and leadership: Develop and implement the company's quality management system (QMS) and strategy, aligning it with business objectives. This includes overseeing all aspects of quality operations and managing the QA and QC departments. Regulatory compliance: Ensure ...

Role/ Job Title: Splunk Administrator Function/ Department: Informa on Security Group Job Purpose: A Splunk Administrator with hands-on exper se in Splunk Enterprise Security (ES) to manage, opmize, and support the Splunk infrastructure. The candidate will play a cri cal role in maintaining system health, onboarding data sources, mapping them ...

Key Responsibilities: Procurement of Raw Materials (APIs, excipients) and Packaging Materials (primary & secondary) as per production requirements. Vendor development, evaluation, and management to ensure quality and cost efficiency. Floating RFQs, price negotiations, and finalization of purchase orders. Coordination with QA, QC, production, and stores to ensure timely availability of materials. Ensure all procurement complies ...

Job Description – Project Manager (Technology)Role OverviewWe are seeking an accomplished Project Manager – Technology with proven expertise in managing end-to-end delivery of FinTech applications, preferably within the investment, wealth-tech, or digital finance ecosystem. The ideal candidate will exhibit exceptional command over English communication, demonstrate structured program management skills, and ...

"Project Management Skills: Proficiency in Agile, Scrum, Kanban, and/or Waterfall methodologies. Strong ability to manage multiple projects simultaneously. Resolving conflicts within cross-functional teams effectively Ability to prioritize tasks based on business impact and technical feasibility Translating technical concepts into business terms for stakeholders. Ensuring clear documentation for all phases of ...

"Deep understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud setups Hands-on experience with architecture modeling tools and frameworks (TOGAF, Zachman, UML) Proficiency with enterprise integration patterns, RESTful APIs, API gateways, and service mesh Knowledge of data architecture, security architecture, and DevSecOps principles Familiarity with India Stack components and ...

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