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Job Title: Python Developer (4–6 Years Experience)

Location: Mumbai (Onsite)

Experience: 4–6 Years

Salary: ₹50,000 – ₹90,000 per month (depending on experience & skill set)

Employment Type: Full-time

Job Description

We are looking for an experienced Python Developer to join our growing team in Mumbai. The ideal candidate will have strong hands-on experience in Python development, building scalable backend systems, and working with databases and APIs.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications
• Build and integrate RESTful APIs
• Work with frameworks such as Django / Flask / FastAPI
• Write clean, reusable, and efficient code
• Collaborate with frontend developers, QA, and project managers
• Optimize application performance and scalability
• Debug, troubleshoot, and resolve technical issues
• Participate in code reviews and follow best coding practices
• Work with databases and ensure data security and integrity
• Deploy and maintain applications in staging/production environments

Required Skills & Qualifications

• 4–6 years of hands-on experience in Python development
• Strong experience with Django / Flask / FastAPI
• Good understanding of REST APIs
• Experience with MySQL / PostgreSQL / MongoDB
• Familiarity with Git and version control workflows
• Knowledge of OOP concepts and design principles
• Experience with Linux-based environments
• Understanding of basic security and performance optimization
• Ability to work independently as well as in a team

Good to Have (Preferred Skills)

• Experience with AWS / cloud services
• Knowledge of Docker / CI-CD pipelines
• Exposure to microservices architecture
• Basic frontend knowledge (HTML, CSS, JavaScript)
• Experience working in an Agile/Scrum environment

Job Type: Full-time

Application Question(s):

• If selected, how soon can you join?

Experience:

• Total: 3 years (Required)
• Python: 3 years (Required)

Location:

• Mumbai, Maharashtra (Required)

Work Location: In person

Salesforce Developer - LWC & Sales cloud & service cloud

having 5 yrs exp in Salesforce development

Education- BE BTech MTech MCA

Location: Pune , Bangalore

We are looking for a dynamic and skilled Digital Marketing Trainer with 2 to 3 teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Link Building, SEO, Digital Marketing, Social Media Ads, DM Executive

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Job Description:

We are seeking an experienced Java Back-end Developer to join our team. The ideal candidate

will be responsible for designing, developing, and maintaining robust and scalable back-end

solutions using Java and related technologies. The Back-end Developer will work closely with

cross-functional teams to deliver high-quality software solutions that meet our business needs.

Responsibilities:

 Design, develop, and maintain Java-based back-end applications, services, and APIs.

 Write efficient, reusable, and well-documented code following industry best practices

and coding standards.

 Collaborate with front-end developers, product managers, and other stakeholders to

understand requirements and translate them into technical solutions.

 Implement and maintain database schemas, write complex SQL queries, and optimize

database performance using Oracle SQL.

 Develop and consume RESTful web services to enable seamless integration with

external systems.

 Utilize Spring framework and its various modules (e.g., Spring Boot, Spring Batch) for

building enterprise-level applications.

 Manage project dependencies and build processes using Maven.

 Work with version control systems such as Git for code management and collaboration.

 Perform unit testing, integration testing, and debugging to ensure the quality and

reliability of back-end components.

 Stay updated on emerging technologies, trends, and best practices in back-end

development.

Additional Requirements:

 Strong knowledge of application servers such as Tomcat and WebLogic.

 Experience with continuous integration tools such as Jenkins.

 Familiarity with automated testing frameworks such as JUnit.

 Understanding of authentication and authorization mechanisms, including OAuth.

 Knowledge of SOAP web services and related technologies.

Requirements:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 5 Plus years of experience in Java back-end development.

 Proficiency in Java programming language and related frameworks (e.g., Spring, Spring

Boot, Spring Batch).

 Strong understanding of object-oriented programming principles, data structures, and

algorithms.

 Experience with Oracle SQL and database design principles.

 Familiarity with RESTful web services and API development.

 Experience with build tools such as Maven.

 Knowledge of version control systems, particularly Git.

 Strong problem-solving skills and attention to detail.

 Excellent communication and collaboration skills.

 Ability to work effectively in a fast-paced, agile environment.

Preferred Qualifications:

 Experience with other databases such as MySQL, PostgreSQL, or MongoDB.

 Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.

 Understanding of software development best practices and design patterns.

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.

Responsibilities:

Design and develop server-side web applications using Node.js

Write high-quality, testable, and scalable code

Collaborate with cross-functional teams to identify and prioritize features

Implement and maintain software design patterns and architecture

Troubleshoot and debug applications

Optimize application performance and scalability

Participate in code reviews and provide constructive feedback to improve code quality

Stay up-to-date with the latest developments in web technologies and frameworks

Requirements:

2-4 years of experience in developing server-side web applications using Node.js

Strong proficiency in JavaScript, with a good understanding of its ecosystem

Experience with popular Node.js frameworks such as Express or Hapi

Familiarity with database technologies such as MongoDB, MySQL, or PostgreSQL

Knowledge of web security best practices and techniques

Experience with Git and other version control systems

Ability to work in a fast-paced, agile environment

Good communication and teamwork skills

If you meet these qualifications and are passionate about developing high-quality, scalable web applications, we encourage you to apply for this position.

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science