InFoCusp

InFoCusp is a company working in the broad field of Computer Science, Software Engineering,
and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in
Pune.

We have worked on / are working on Software Engineering projects that touch upon making
full-fledged products. Starting from UI/UX aspects, responsive and blazing fast front-ends,
platform-specific applications (Android, iOS, web applications, desktop applications), very
large scale infrastructure, cutting edge machine learning, and deep learning (AI in general).
The projects/products have wide-ranging applications in finance, healthcare, e-commerce,
legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this
is using core concepts of computer science such as distributed systems, operating systems,
computer networks, process parallelism, cloud computing, embedded systems and the
Internet of Things.

PRIMARY RESPONSIBILITIES:
● Own the design, development, evaluation and deployment of highly-scalable software
products involving front-end and back-end development.
● Maintain quality, responsiveness and stability of the system.
● Design and develop memory-efficient, compute-optimized solutions for the
software.
● Design and administer automated testing tools and continuous integration
tools.
● Produce comprehensive and usable software documentation.
● Evaluate and make decisions on the use of new tools and technologies.
● Mentor other development engineers.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Mastery of one or more back-end programming languages (Python, Java, Scala, C++
etc.)
● Proficiency in front-end programming paradigms and libraries (for example : HTML,
CSS and advanced JavaScript libraries and frameworks such as Angular, Knockout,
React). - Knowledge of automated and continuous integration testing tools (Jenkins,
Team City, Circle CI etc.)
● Proven experience of platform-level development for large-scale systems.
● Deep understanding of various database systems (MySQL, Mongo,
Cassandra).
● Ability to plan and design software system architecture.
● Development experience for mobile, browsers and desktop systems is
desired.
● Knowledge and experience of using distributed systems (Hadoop, Spark)
and cloud environments (Amazon EC2, Google Compute Engine, Microsoft
Azure).
● Experience working in agile development. Knowledge and prior experience of tools
like Jira is desired.
● Experience with version control systems (Git, Subversion or Mercurial).

Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.

PRIMARY RESPONSIBILITIES:
● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.