760 Job openings found

2 Opening(s)
2.0 Year(s) To 6.0 Year(s)
4.00 LPA TO 5.00 LPA
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 ...
1 Opening(s)
3.0 Year(s) To 10.0 Year(s)
5.50 LPA TO 16.00 LPA
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 ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
Not Disclosed by Recruiter
OverviewWe are seeking a talented FullStack Developer to join our development team. The idealcandidate will have hands-on experience building modern web applications using React,Node.js, and NestJS frameworks.Key Responsibilities Design, develop, and maintain full-stack web applications using React forfrontend and Node.js/NestJS for backend Build RESTful APIs and microservices using NestJS framework ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Job Title: Research Associate Experience: 3–5 Years Job Location: Andheri, Mumbai Work Schedule: 8:30 AM – 5:30 PM (Monday to Saturday, 6 working days) Qualification: M. Pharma Salary: Up to 6.5 LPA (based on experience and suitability) Type of Employment: Contract-based (can be renewed based on performance and project requirements; ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"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 ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"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 ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
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.  ○ ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
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 
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 15.00 LPA
Python 2/5 years experience   Job Title: Python + SQL + AI Engineer Experience: 4+ Years Location: Mumbai - Kurla , Bangalore - Whitefield Notice Period: Immediate Joiners Preferred CTC : Max 15 LPA Job Type: Full-Time Drive : Saturday 27/10/25 Mode : Virtual   Company Description   About BootLabs: https://www.bootlabstech.com/ We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions. We are obsessed ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
Not Disclosed by Recruiter
What You’ll Do Build AI Modules: Develop and test GenAI components, RAG pipelines, and multi-modal agents using frameworks like LangChain/LangGraph. Experiment with LLMs: Work with OpenAI, Anthropic, Mistral, Phi, etc. Fine-tune prompts, optimise performance, and prototype new ideas. Automation & Integration: Build Python-based scripts and automate workflows using n8n and cloud-native tools. Cloud Exposure: ...

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