11+ Decision trees Jobs in Mumbai | Decision trees Job openings in Mumbai

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

What you’ll do

• Take full ownership of features from problem → design → code → deploy → iterate
• Build modular, scalable APIs and frontend components using the MERN stack
• Use AI tools to write, debug, optimize code, and unblock yourself fast
• Integrate 3rd-party APIs, services, and AI capabilities where relevant
• Collaborate async with product, design, and other engineers
• Optimize performance, scalability, and dev workflows
• Own dev hygiene—documentation, tests, Git practices, CI/CD pipelines

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 4–5 years of full-stack experience in production-grade MERN apps
• You’ve shipped products end-to-end, not just maintained features
• Strong in JavaScript/TypeScript, both on frontend and backend
• Solid foundation in system design, API design, and debugging
• Comfortable using AI-native tools to code faster and better
• GitHub is your second home. You write clean commits and structured PRs
• Cloud/infra experience (Vercel, AWS, Docker/Kubernetes)

Nice-to-Have:

• Experience in HR or Ed Tech, Experience in assessment platforms
• Experience with SSR (Next.js), GraphQL, WebSockets, or Firebase
• Familiarity with AI API integration (OpenAI, Pinecone, LangChain, etc.)
• Open-source contributions, side projects, or an active GitHub

Job Title : Ironclad CLM Consultant (Analyst/Consultant Level)

Experience Required : 3+ Years

CTC: Up to 25 LPA

Location : Hyderabad, Bangalore, Mumbai, Pune, Chennai, Gurgaon

Work Mode : Hybrid

Job Summary :

We are seeking skilled professionals with hands-on experience in Ironclad Contract Lifecycle Management (CLM) to join our team. The ideal candidate will have a strong understanding of contract configuration, including MSAs, SOWs, and other templates, as well as experience integrating Ironclad with Salesforce. This role is suited for Analyst or Consultant-level candidates.

Mandatory Skills : Ironclad CLM (2–2.5+ years), contract template configuration (MSAs, SOWs), Ironclad-Salesforce integration, 2–3 implementation projects.

Key Responsibilities :

• Configure contract templates (e.g., MSAs, SOWs) within Ironclad CLM.
• Participate in and deliver 2-3 end-to-end Ironclad implementation projects.
• Integrate Ironclad with CRM tools, especially Salesforce.
• Collaborate with cross-functional teams to define requirements and implement solutions.
• Provide documentation, testing, and support for Ironclad-related projects.

Must-Have Skills :

• 2–2.5+ years of hands-on experience in Ironclad CLM.
• Experience with at least 2-3 Ironclad implementation projects.

Good-to-Have Skills :

• Working knowledge of Salesforce CRM.
• Familiarity with Salesforce CPQ.

Location: Mumbai

Job Type: Full-Time (Hybrid – 3 days in office, 2 days WFH)

Job Overview:

We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications.

Key Responsibilities:

• Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).
• Implement data models in collaboration with the Data Analytics and BI teams.
• Optimize and manage large-scale SQL and Spark-based data processing solutions.
• Ensure data availability and reliability for third-party application consumption.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

Required Skills & Experience:

3–5 years of hands-on experience in:

• Azure data services
• Data Modeling
• SQL development and tuning
• Apache Spark
• Strong knowledge of Azure Synapse Analytics.
• Experience in designing data pipelines and ETL/ELT processes.
• Ability to troubleshoot and optimize complex data workflows.

Preferred Qualifications:

• Experience with data governance, security, and data quality practices.
• Familiarity with DevOps practices in a data engineering context.
• Effective communication skills and the ability to work in a collaborative team environment.

Job Title: Fullstack Developer

Experience Level: 5+ Years

Location: Borivali, Mumbai

About the Role:

We are seeking a talented and experienced Fullstack Developer to join our dynamic engineering team. The ideal candidate will have at least 5 years of hands-on experience in building scalable web applications using modern technologies. You will be responsible for developing and maintaining both front-end and back-end components, ensuring high performance and responsiveness to requests from the front-end.

Key Responsibilities:

• Design, develop, test, and deploy scalable web applications using Node.js, React, and Python.
• Build and maintain APIs and microservices that support high-volume traffic and data.
• Develop front-end components and user interfaces using React.js.
• Leverage AWS services for deploying and managing applications in a cloud environment.
• Collaborate with cross-functional teams including UI/UX designers, product managers, and QA engineers.
• Participate in code reviews and ensure adherence to best practices in software development.
• Troubleshoot, debug and upgrade existing systems.
• Continuously explore and implement new technologies to maximize development efficiency.

Required Skills & Qualifications:

• 5+ years of experience in fullstack development.
• Strong proficiency in Node.js, React.js, and Python.
• Hands-on experience with AWS (e.g., Lambda, EC2, S3, CloudFormation, RDS).
• Solid understanding of RESTful APIs and web services.
• Familiarity with DevOps practices and CI/CD pipelines is a plus.
• Experience working with relational and NoSQL databases.
• Proficient understanding of code versioning tools, such as Git.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Nice to Have:

• Experience with serverless architecture.
• Knowledge of TypeScript.
• Exposure to containerization (Docker, Kubernetes).
• Familiarity with agile development methodologies.

Zycus is looking to hire BE / MBA 2022 – 23 graduates as Product Technical Analyst and is organizing a Walk-In drive on 02nd  September, 2023 at our office in Mumbai, Seepz, Andheri East.

In this role, you will be part of a US Delivery Team and work with our global customers in supporting our AI-driven procurement solution and serve as a subject matter expert on Zycus Procurement Performance and Spend Analytics application.

As a Product Technical Analyst at Zycus, you will:

• Serve as Product Technical Analyst on Zycus Procurement Applications (Source to Pay)
• Work on all aspects of Zycus Support Desk and be the first point of Contact for Customers having queries/ issues related to Zycus products & be available on email/ chat/ call mediums for the Customer concerns
• Work with the Technical Account Management Team to ensure deliverables are on-time, increase efficiency and resolve issues for customers by coordinating with multiple Teams from Zycus & Customer side to achieve Customer Satisfaction
•  Participate and contribute to best practices (tools/process), knowledge sharing & find ways to automate and ideate new things to enhance Customer experience, reduce manual efforts and suggest new processes
•  Work with customers and internal stakeholders while participating and facilitating testing including User Acceptance Testing
• Evaluate and suggest innovative solutions and workarounds for customer requirements
• Work efficiently on, Zycus products configuration, Incident Management Tools, MS-Excel, etc.
• Provide strong technical understanding of Zycus product with the ability to discuss and demonstrate the Zycus Solution and how it may be configured to meet a customer’s business needs.

• Education: MBA/Engineering Graduate (B.E./B.Tech) in Computer Science/ Chemical/Mechanical/Electronics/IT
• Experience Level: 0-1 years
• Strong written and verbal communication skills
• Willingness to work 24*7  shifts .
• Flexible, enthusiastic approach to work including a strong desire to learn new tools & techniques to solve business problems.
• Ability to collaborate with various internal and external stakeholders
• Ability to learn, execute and excel. Multitask and work with priorities

Salary Range: INR 4,50,000 to INR 5,00,000

Walk In Drive Date: 02nd September, 2023

Time: 10:000 AM to 4:00 PM

Venue:

Zycus Infotech Pvt Ltd.

Plot No GJ-07, SEEPZ++, SEEPZ, MIDC, Andheri East, Mumbai MH 400096.

Note:

1. Candidates need to apply for the job online before the Walk-in (https://zycus.skillate.com/jobs/54683)

2. Carry your resume, 1 color passport size photograph and Aadhar Card copy along with the original

3. Our office is in a high-security zone, and you will need a gatepass therefore candidates are requested to reach SEEPZ, Gate no -3 and call our reception for a Gate Pass on this number – Contact detai: (https://zycus.skillate.com/jobs/54683)

Five Reasons Why You Should Join Zycus

1. Industry Recognized Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a  Leader in Procurement Software Suites. Zycus is also recognized as a Customer First Organization by Gartner.  Zycus's Procure to Pay Suite Scores 4.5 out of 5 ratings in Gartner Peer Insights for Procure-to-Pay Suites.

2. Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises

3. Fast Growing: Growing Region at the rate of 30% Y-o-Y

4. Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus

5. AI Product Suite: Steer next gen cognitive product suite offering

Zycus is a pioneer in Cognitive Procurement software and has been a  trusted partner of choice for large global enterprises for two decades.  Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P  software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker  and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.

Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high  adoption and value across the organization.

Start your #CognitiveProcurement journey with us, as you are #MeantforMore

Should be able to help user acceptance testing 

Skills Required:

• Strong interpersonal skills.
• Problem-solving attitude.
• Excellent communication skills.
• Aptitude for fostering positive relationships.
• Teamwork and leadership skills  

Key Account Manager Job Description

                                                                         JOB DESCRIPTION (JD)

The following obligatory points are a standard part of every JD and each employee regardless of his/her designation is fully obliged to fully understand and comply with the below:

1. Unconditional compliance of the following policies:
2. Company Inner Regulations and Information Security Protocol (ISP).
3. Departmental Policy (DP) or Work Centre Area Policy (WCAP) – whichever and wherever applicable.
4. Guidelines to systems and documentation.

Detailed description of specific responsibilities:

1. B2B lead generation.
2. Arranging meetings and demos of our offerings to potential clients.
3. Deal closure.
4. Handling ground force (supermen) and ensure customer satisfaction in terms of services and operations after sales.
5. Coordinate with formulation and tech team to give them market feedback to help in improvement of our products and also manage demand and supply in market.
6. Handle customer queries and solve their problems.
7. Onboard new distributors on panel and handle business through them. Also handle existing distributors.
8. Manage all legal paper work related to sales and subscription of our products and services.
9. Collection of payments from all the clients and distributors handled.