Role Proficiency:

Acts under very minimal guidance to develop error free code; testing and documenting applications

Outcomes:

     Understand the applications features and component design and develop the same in accordance with user stories/requirements.      Code debug test and document; and communicate product/component/feature development stages.      Develop optimized code with appropriate approach and algorithms following standards and security guidelines independently      Effectively interact with customers and articulate their input      Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models      Mentor Developer I – Software Engineering to become more effective in their role      Learn technology business domain and system domain as recommended by the project/account Set FAST goals and provide feedback to FAST goals of mentees

Measures of Outcomes:

     Adherence to engineering processes and standards (coding standards)      Adherence to schedule / timelines      Adhere to SLAs where applicable      # of defects post delivery      # of non-compliance issues      Reduction of reoccurrence of known defects      Quickly turnaround production bugs      Meet the Defined productivity standards for project      Completion of applicable technical/domain certifications Completion of all mandatory training requirements

Outputs Expected:

Configure:

Follow configuration process

Test:

Create and conduct unit testing

Domain relevance:

Develop features and components with good understanding of the business problem being addressed for the client

Manage Defects:

Raise
fix
retest defects

Estimate:

Estimate time
effort and resource dependence for one's own work

Mentoring:

Mentor junior developers in the team Set FAST goals and provide feedback to FAST goals of mentees

Document:

Create documentation for one's own work

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities

Status Reporting:

Report status of tasks assigned Comply with project related reporting standards/process

Release:

Adhere to release management process

Design:

Understand the design/LLD and link it to requirements/user stories

Code:

Develop code with guidance for the above

Skill Examples:

     Explain and communicate the design / development to the customer      Perform and evaluate test results against product specifications      Develop user interfaces business software components and embedded software components      Manage and guarantee high levels of cohesion and quality      Use data models      Estimate effort time required for own work      Perform and evaluate tests in the customers or target environments      Team player      Good written and verbal communication abilities Proactively ask for and offer help

Knowledge Examples:

     Appropriate software programs / modules      Technical designing      Programming languages      DBMS      Operating Systems and software platforms      Integrated development environment (IDE)      Agile methods Knowledge of customer domain and sub domain where problem is solved

Additional Comments:

Artificial Intelligence Experienced Job Description We are looking for experienced candidate with around one or two year experience in an artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), chatbots and generative models to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. Therefore, it’s essential that you are skilled at problem solving, solution design, and high-quality coding. Responsibilities • Engage in research activities to explore the latest advancements in generative AI techniques and algorithms. Stay updated with current literature and emerging trends in the field. • Develop AI/ML applications according to requirements. • Select appropriate datasets and data representation methods. • Run machine learning tests and experiments. • Perform statistical analysis and fine-tuning using test results. • Train and retrain systems when necessary. • Extend existing AI/ML libraries and frameworks. Skills • Bachelor’s in computer science or related field. 1 or 2 year experience in n applying AI/ML preferably using TensorFlow or PyTorch Framework • Understanding of data structures, data modeling and software architecture • Strong understanding of machine learning fundamentals including deep learning, neural networks, and generative models. • Ability to write robust code in Python. • Familiarity with machine learning frameworks (Keras, deep learning, TensorFlow, PyTorch, NLP Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or Transformer-based models.) • Strong programming skills in at least one of the following: Python, C++ will be added advantage. • Outstanding analytical and problem-solving skills • Experience with continuous integration practices ,ML model validation metrics and developing tools in windows environment will be an added advantage.