Data Analyst

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity a Software Development engineer (Up to 12 LPA).

Key Responsibilities

• Engage in the full software development lifecycle: ideation, design, development, testing, and deployment.
• Develop responsive, high-performance web applications utilizing HTML, CSS, JavaScript, and frameworks such as React, Angular, and Next.js.
• Create back-end services and APIs using Node.js, managing data with MongoDB and Supabase.
• Utilize cloud services like AWS for hosting and scaling applications.
• Collaborate on the design of efficient and scalable database schemas.
• Learn from code reviews with seasoned developers, adopting best practices and coding standards.

Requirements

• Enrollment in a Computer Science or related degree program.
• Proficiency in HTML, CSS, JavaScript, with experience in frameworks like React, Angular, or Next.js.
• Understanding of back-end development using Node.js.
• Knowledge of database technologies such as MongoDB and Supabase.
• Exposure to cloud services, particularly AWS, and familiarity with hosting principles.
• Strong problem-solving capabilities and a continuous learning mindset.
• Excellent teamwork and communication skills.
• Mandatory proficiency in GIT.

• Create, test, and maintain web-based applications using Laravel Framework.
• Work with members of the other teams to design, develop, and implement software solutions.
• Implement and manage the entire web application development lifecycle, from conception to delivery and post-launch maintenance.
• Write clean, efficient, and well-documented code.
• Make use of back-end data services and support the growth of current data services API.
• Effectively communicate all project updates, evaluations, suggestions, schedules, and technical and procedural difficulties.
• The development procedure, architecture, and similar information should all be documented.
• Troubleshoot and debug software issues.
• Continuously improve software quality and performance.
• Keep up with the latest web development technologies and trends.

Designation: Kafka Consultant

Job Description:

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors.
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka
• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features
• 3-5+ years of working experience with different databases such as Oracle/Mysql/MongoDB/Snowflake/RDS databases.
• 3-5+ years of experience with AWS/GCP/Azure preferred AWS. AWS Solutions Architect certifications are preferred.
• 2+ years of experience with Monitoring tools (Prometheus, Grafana / Spl
• Proficient in building/scaling large systems end to end using Tibco BW5, BW6 or other high-performance languages,
• developer tools, CI/CD, DevOps, GitHub, Terraform, and Ansible.

Responsibilities :

• Work with development teams and product managers to ideate software solutions

• Maintenance of Node.js Backend

• Working with MongoDB to create various features

• Troubleshoot, debug and upgrade software

• Create security and data protection settings

Requirements :

• Proven experience as a backend developer in Node.js or similar role

• Experience developing desktop and mobile applications

• Familiarity with common stacks

Requirements :

• Hands on experience building end to end systems

• Minimum 1 yrs of experience with Javascript, Node.js and Mongo.DB

• Good architectural & design skills

• Strong coding, data structures and algorithms

• The ability to own end to end responsibility - right from requirement to release

• The ability to produce bug-free and production grade code

• Experience and fine understanding of cross browser front end development issues

• Exhibit a deep understanding of server virtualization, networking and storage ensuring that

• The solution scales and performs with high availability and uptime

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred