Acuity Knowledge Partners

Job Purpose

We are looking for an energetic and self-starter software developer to join our product development practice as a Senior Software Engineer (SSE).

You will get to work with some of the best and knowledgeable tech talent in the financial world and you will build next generation digital services and platforms that will lead the transformation goals for our customers. You will work closely with the engineering, UX, product and test automation communities, as part of the agile team, to lead product design and development and to help the Digital Service Product Owner to deliver and maximize value.

You will drive engineering and architecture best practices for writing and encouraging others to write secure code and dev-ops process while getting opportunities for learning new business domain and topics, to work with industry SMEs and to learn new technology and behavioral skills.

Key Responsibilities

As a Full-stack Developer

• 8+ year’s professional experience in enterprise software design and development in an N-tier architecture environment;
• Understanding of 12-factor app framework is highly desirable
• Must have experience building web applications using .NET core 3.x (.NET 5.0 is better), Web API, HTML5, React OR other JS-based frameworks like Angular
• Must have experience with tools such as Jira, Github, Confluence (or other wiki), SonarQube (or similar), OWASP ZAP (or similar) and Snyk (or similar)
• Experience with data visualization libraries /framework like D3js, Plotly, HighCharts etc. will be an advantage
• Must have experience with SOA and Web Service standards (REST & JSON/SOAP & WSDL/WS-I Basic Profile), and IIS
• Understand the business requirements from the product owner(s)
• Design and implement the system from scratch & build enhancements, features request using modern application frameworks using C# and React with .NET Core, Web API, AWS services etc.
• Participate in both development & maintenance tasks
• Independently troubleshoot difficult and complex issues on production and other environments

As a Technical Lead in the pod

• Must have experience of working in an automated CI/CD environment and with fast moving teams using Scrum/Agile; Experience with AWS and other cloud providers is highly desirable
• Must have extensive experience with object oriented design principles. Ability to articulate the pros and cons of design/implementation options
• Participate in design review and peer code review
• Work collaboratively in a global setting, should be eager to learn new technologies
• Responsible for extending and maintaining existing codebase with focus on quality, re-usability, maintainability and consistency
• Coach teams on best practices and architecture design

As member of the Engineering community

• Must have extensive experience with object oriented design principles.
• Ability to articulate the pros and cons of design/implementation options
• Good understanding and knowledge of areas including but not limited to requirement gathering, designing, development, testing, maintenance, quality control etc.
• Stay up-to-date on latest developments in technology
• Learn and share learnings with the community

Behavioral Competencies

• A self-starter, excellent planner and executor and above all, a good team player
• Excellent communication skills and inter-personal skills are a must
• Must have organizational skills, including multi-task capability, priority setting and meeting deadlines
• Ability to build collaborative relationships and effectively leverage networks to mobilize resources
• Liking and initiative to learn business domain is highly desirable
• Likes dynamic and constantly evolving environment and requirements

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.