
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.

About Acuity Knowledge Partners
About
Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 500 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide.
We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. Finally, we enable our clients to TRANSFORM their operating model and cost base.
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We EMPOWER our clients to drive revenues higher. We INNOVATE using our proprietary technology and automation solutions. Finally, we enable our clients to TRANSFORM their operating model and cost base.
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Experience: 3+ Yrs
Essential Duties and Responsibilities:
The candidate would be responsible for iOS development for mobile platform for new products & services.
• To engage hands-on in the development activity of products / services.
• Participate in daily scrum meets & scheduling of tasks, review accomplishments by end of day.
• To contribute to coding / build & also guide the junior developers.
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• Review code quality.
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Education and/or Work Experience Requirements:
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· Have solid business acumen and executive presence, able to position UC/CC Communication platform end-to-end
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We believe in helping our businesses stay ahead of the curve by enabling them to
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and shaped them into scalable businesses.
An experienced IIT Delhi alumni leadership coupled with a team of talented and
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● Review and analyze business requirements and provide technical feasibility and
estimates
● Manage development/support functions etc
● Excellent in OOPS concepts, system design
● Strong knowledge of Core Java, Spring, Hibernate and Microservices
● Hands-on experience in DB design, SQL, UI Technologies like HTML/CSS,
JavaScript, jQuery, etc.
● Good knowledge of design patterns
● Excellent knowledge of JSP, Servlets, WebServices, JUnit
● Experience in Agile software development
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● Experience in working directly with a client
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● Minimum undergraduate in Computer Science, MCA or Statistics from a Tier 1/Tier
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● Excellent written, verbal communication, and client-facing skills
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What you will do:
- Planning of purchase requirements as per manufacturing schedule/purchase indent
- Controlling budgets
- Managing and developing vendors
- Managing inventory
- Managing ongoing supplier relationships
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Desired Skills and Experience
Job Description
We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
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- Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
- Experience with Deep Learning preferred.
- Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Proficiency in using query languages such as SQL, Hive, Pig
- Good applied statistics skills, such as statistical testing, regression, etc.
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