1551 Job openings found

1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 10.00 LPA
Position:          Asst. Manager - Instrument Location:         Mehsana Experience:      8 - 10 Years Industries:      Pharma - API Responsibilities: 1. Instrumentation & Automation Management:Lead installation, commissioning, and maintenance of all plant instrumentation systems.Ensure smooth operation and calibration of control valves, transmitters, flow meters, level gauges, sensors, ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
6.00 LPA TO 15.00 LPA
Role : Technical Consultant - Implementation of EPICOR ERPRequired Qualification: B.E./ B. Tech – CSExperience: 2-4 Years1. Proven Experience as an Epicor Technical Consultant2. Expertise in Epicor ERP10/ Kinetic software.3. Develop customizations using the Epicor Tool framework.4. Develop reports using SSRS, Epicor certification (preferred but not essential)5. Proficiency in programming ...
2 Opening(s)
3.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 22.00 LPA
Job Description Job Title: Analyst, Algorithm Research & Development (Optical modelling). Job location- Chennai  Experience: Minimum 3 years  Employment Type: Full time Key Responsibilities: Develop algo focusing on optical modeling and computational geometry-based image processing algos and models. Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
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 ...
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)
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 
5 Opening(s)
8.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
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 ...
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)
6.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
What You’ll Do Design Intelligent Architectures: Lead the design of secure, scalable cloud-native and hybrid architectures optimised for AI innovation. Develop & Accelerate: Build GenAI components, multi-modal agents, fine-tune LLMs, and work on reusable modules using tools like LangGraph and LangChain, automate workflows using platforms like n8n. Cloud Leadership: Architect and implement solutions ...
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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