Salesforce CPQ developer

Job Summary

We are looking for a Data Scientist – AI/ML who has hands-on experience in building, training, fine-tuning, and deploying machine learning and deep learning models. The ideal candidate should be comfortable working with real-world datasets, collaborating with cross-functional teams, and communicating insights and solutions to clients.

Experience: Fresher to 5 Years

Location: Ahmedabad 

Employment Type: Full-Time

Key Responsibilities

Develop, train, and optimize Machine Learning and Deep Learning models

Perform data cleaning, preprocessing, and feature engineering

Fine-tune ML/DL models to improve accuracy and performance

Deploy models into production using APIs or cloud platforms

Monitor model performance and retrain models as required

Work closely with clients to understand business problems and translate them into AI/ML solutions

Present findings, model outcomes, and recommendations to stakeholders

Collaborate with data engineers, developers, and product teams

Document workflows, models, and deployment processes

 Required Skills & Qualifications

Strong understanding of Machine Learning concepts (Supervised, Unsupervised learning)

Hands-on experience with ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, etc.)

Experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)

Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn)

Experience in model deployment using Flask/FastAPI, Docker, or cloud platforms (AWS/GCP/Azure)

Understanding of model fine-tuning and performance optimization

Basic knowledge of SQL and data handling

Good client communication and documentation skills

 Good to Have

Experience with NLP, Computer Vision, or Generative AI

Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines)

Experience working on live or client-based AI projects

Kaggle, GitHub, or portfolio showcasing AI/ML projects

 Education

Bachelor’s / Master’s degree in Computer Science, Data Science, AI/ML, or related field

Relevant certifications or project experience will be an added advantage

 What We Offer

Opportunity to work on real-world AI/ML projects

Mentorship from experienced AI/ML professionals

Career growth in Data Science & Artificial Intelligence

Collaborative and learning-driven work culture

Job Purpose

A Plant Operations Manager is responsible for directing, coordinating, and managing the overall plant operations. Assures that the plant's production objectives are achieved at the lowest cost consistent with quality requirements while maintaining compliance.

Roles & Responsibilities

• Provide leadership to all aspects of the manufacturing operations.
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• Facilitate, coach, counsel, and guide the manufacturing work group to ensure they can deliver results.
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• Educate, develop, and motivate a manufacturing work group to achieve required production results.
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• Develop and implement operating policies and procedures to achieve stated goals.
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• Strive for continuous improvement in manufacturing processes to ensure efficiencies and eliminate waste, and implement such plans through people, processes, procedures, and equipment.
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• Exercise direct supervision over R&D department, general supervisors and line supervisors concerning production volume, cost, and quality of production to meet production schedules and delivery dates.
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• Meet financial objectives and goals by forecasting requirements and supporting the annual budget process.
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• Review production costs and product quality and modify production and inventory control programs to maintain and enhance the profitable operation of the plant.
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• Direct and lead all operations to achieve monthly profit results with a focus on operations throughout.

• You have experience with two or more development languages preferably Java or Python and React, etc 
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Web development.

Requirements:

• Bachelor's degree in computer science, information science, or similar.
• At least One year of experience as a Full Stack developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Should have hands on experience in using sockets, express, SQL query builder.
• Should have worked on database like SQL, MYSQL, MongoDB.
• Knowledge of front-end technologies such as HTML5 and CSS3
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience