UX Designer

Job Title : Backend Developer (Node.js or Python/Django)

Experience : 2 to 5 Years

Location : Connaught Place, Delhi (Work From Office)

Job Summary :

We are looking for a skilled and motivated Backend Developer (Node.js or Python/Django) to join our in-house engineering team.

Key Responsibilities :

• Design, develop, test, and maintain robust backend systems using Node.js or Python/Django.
• Build and integrate RESTful APIs including third-party Authentication APIs (OAuth, JWT, etc.).
• Work with data stores like Redis and Elasticsearch to support caching and search features.
• Collaborate with frontend developers, product managers, and QA teams to deliver complete solutions.
• Ensure code quality, maintainability, and performance optimization.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and contribute to team best practices.

Required Skills :

• 2 to 5 Years of hands-on experience in backend development.
• Proficiency in Node.js and/or Python (Django framework).
• Solid understanding and experience with Authentication APIs.
• Experience with Redis and Elasticsearch for caching and full-text search.
• Strong knowledge of REST API design and best practices.
• Experience working with relational and/or NoSQL databases.
• Must have completed at least 2 end-to-end backend projects.

Nice to Have :

• Experience with Docker or containerized environments.
• Familiarity with CI/CD pipelines and DevOps workflows.
• Exposure to cloud platforms like AWS, GCP, or Azure.

Job Title: AI/ML Engineer

Location: Delhi, Arjan Garh

Job Type: Full-Time

IMMEDIATE JOINERS REQUIRED

About Us:

Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning.

Key Responsibilities:

• Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems.
• Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance.
• Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models.
• Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows.
• Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities.
• Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality.
• Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies.

Required Qualifications:

• Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields.
• Experience: 2 years’ Experience in AI/ML development, with a proven track record of deploying AI solutions in a production environment.
• IMMEDIATE JOINERS REQUIRED

Technical Skills:

• Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP).
• Experience in integrating AI based solutions with web frameworks like Django, Flask.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

• Experience with reinforcement learning, deep learning, or computer vision.
• Contributions to open-source AI projects or published research in AI/ML.
• Experience with big data technologies (e.g., Hadoop, Spark).

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A collaborative and innovative work environment.
• Flexible working hours and remote work options.

How to Apply:

https://www.linkedin.com/in/preeti-bisht-1633b1263/

Mention current Notice, Current CTC and Expected CTC

We are seeking a Data Engineer ( Snowflake, Bigquery, Redshift) to join our team. In this role, you will be responsible for the development and maintenance of fault-tolerant pipelines, including multiple database systems.

Responsibilities:

• Collaborate with engineering teams to create REST API-based pipelines for large-scale MarTech systems, optimizing for performance and reliability.
• Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines.
• Build scalable dbt models and configuration files, leveraging best practices for efficient data transformation and analysis.
• Partner with lead data engineers in designing scalable data models.
• Conduct thorough debugging and root cause analysis for complex data pipeline issues, implementing effective solutions and optimizations.
• Follow and adhere to group's standards such as SLAs, code styles, and deployment processes.
• Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changesAssist the team in monitoring pipeline health via observability tools and metrics.
• Participate in refactoring efforts as platform application needs evolve over time.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift.
• +1 years of professional experience with dbt (cloud or core).
• Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios.
• Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering.
• Familiarity with orchestration tools such as Dagster/Airflow.
• Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT.
• High intermediate to advanced SQL skills (comfort with CTEs, window functions).
• Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation.

Benefits:

• Work Location: Remote
• 5 days working​

You can apply directly through the link:https://zrec.in/e9578?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

•SaaS platform, and from a marketing background preferable.

• Conducting market research to identify selling possibilities and evaluate customer needs.

• Actively seeking out new sales opportunities through calling, networking and social media.

• Designing and implementing marketing plans for the company products.

• Answering to client queries about product specifications and uses.

• Develop relationships with existing customers and keeping touch with them.

• Work with other team members to ensure customer satisfaction.

• Find new business opportunities and customers.

• Contact potential customers to showcase company products or services.

• Use of social media like LinkedIn, after connecting to customers dropping emails like an introductory template or a pdf, scheduling demos and sending proposals and sales.

 •Preferred: Females

• Developing front end website and application architecture.
• Designing user interactions on web pages.
• Developing back-end website and applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.