Online Sales Executive

Responsibilities:

• Design, develop, and maintain scalable applications using Java/Kotlin Core Concepts and Spring Boot MVC.
• Build and optimize REST APIs for seamless client-server communication.
• Develop and ensure efficient HTTP/HTTPS request-response mechanisms.
• Handle Java/Kotlin version upgrades confidently, ensuring code compatibility and leveraging the latest features.
• Solve complex business logic challenges with a methodical and innovative approach.
• Write optimized SQL queries with Postgres DB.
• Ensure code quality through adherence to design patterns (e.g., Singleton, Factory, Observer, MVC) and unit testing frameworks like JUnit.
• Integrate third-party APIs and develop large-scale systems with technical precision.
• Debug and troubleshoot production issues.

Requirements:

• 2 to 4 years of hands-on experience in Java/Kotlin Spring Boot development.
• Proven expertise in handling version upgrades for Java and Kotlin with confidence.
• Strong logical thinking and problem-solving skills, especially in implementing complex algorithms.
• Proficiency with Git, JIRA, and managing software package versions.
• Familiarity with SaaS-based products, XML parsing/generation, and generating PDFs, XLS, CSVs using Spring Boot.
• Strong understanding of JPA, Hibernate, and core Java concepts (OOP).

Skills (Good to Have):

• Exposure to Docker, Redis, and Elasticsearch.
• Knowledge of transaction management and solving computational problems.
• Eagerness to explore new technologies.

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories