Acuity Knowledge Partners, a leading provider of high-value research, analytics, and business intelligence to over 500 financial institutions and consulting companies through our specialist workforce of over 6,000 analysts and delivery experts across our global delivery network.
Purpose
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.
Soft skills:
Oral and written communication skills.
Good problem solving and negotiation skills.
Passion, curiosity and attention to detail.
Research & Development , Generative AI, Computer Vision, Python, Machine Learning, NLP , LLM and Data Science