
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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Job Title: |
Senior Cloud Service DBA |
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Department & Team |
Technology |
Location: |
INDIA |
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Reporting To: |
Senior DBA – Team Lead |
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Role Purpose: |
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This role will be a mix of project, BAU and innovation and will encompass typical database administration duties that you may expect in a large-scale telecommunications environment: performance tuning, replication, database design, backups, high availability, encryption, security, configuration etc.
1. Network Services Team – Responsible for IP Network and its associated components 2. Infrastructure Team – Responsible for Server and Storage systems 3. Database Services Team – Responsible for all Databases 4. Cloud Architect Team – Delivering future strategy, ongoing cloud performance optimisation.
The DBA function forms part of Client’s Tier 3 support function and works closely with the internal NOC, Service Desk, Infrastructure, IP Networks and Cloud Architect teams. To enable the business in achieving its stated objectives by assisting the other technology teams to achieve world-class benchmarks of customer service and support.
To highlight, a key requirement of the role will be involvement in defining our future strategy around database modernisation in the cloud.
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Responsibilities: |
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Operations · Involved in new solutions design discussions and to recommend suitable, secure, performance optimised database offerings based on business requirements · Ensure all databases in the AWS and Azure are configured for performance, scale and high availability where required · Take responsibility of modernisation of Clients database estate in the cloud, leveraging open source technologies and cloud native hosting platforms · Drive innovation by constantly reviewing latest public cloud platform database service releases such as Babelfish in AWS to fast track adoption of native services · Ensure security considerations are at the forefront when designing and managing database solutions · Optimise query performance · Ensure all key databases have deep insight monitoring enabled to enable improved capabilities around fault detection · Perform regular database maintenance when required and ensure databases are backed up according to agreed RTO / RPO information · Maintenance work to be planned meticulously to minimise/eradicate self-inflicted P1 outages · Monitoring database costs regularly and identify strategies to minimize cost as part of internal FinOps practices · Ability to provide technical system solutions, determine overall design direction and provide hardware recommendations for complex technical issues · Provisioning, deployment, monitoring cloud environment using automation tools like Terraform |
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Skills & Experience: |
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Certifications: · SQL Server Database Administration - REQUIRED · AWS Certified Solutions Architect Associate – Highly Desirable · AWS Certified Database Specialty – REQUIRED · Azure Database Administrator Associate – Highly Desirable
Skills & Experience: · Ideal candidate has been supporting traditional server based relational databases for over 8 years who then transitioned into AWS and Azure public cloud for the last 5 years · SQL Server / MSSQL 2008 / 2012 / 2014 / 2016 / 2017 / 2019 (including Always-On and Analysis Services) · Postgres / MYSQL as standalone and managed service platforms · Strong database migration experience (Particularly MSSQL to open source and leveraging AWS native platforms including RDS, Athena, Aurora) · Extensive AWS experience in a commercial environment, architecting database best practices · Strong experience supporting AWS / Azure based datalake/data warehouse environments. Required to support internal BI teams · Solid experience and understanding which workloads are best suitable for which specific database platforms in AWS and Azure · Extensive experience and understanding of database security, including appropriate encryption and authentication best practices · Good working knowledge of Microsoft Power BI · Good knowledge of Azure cloud database services · Any working experience around non-relational databases (internally hosted or managed service such as DynamoDB in AWS will be favoured) · Good working knowledge of Windows and Linux Server Operating Systems · Excellent presentation skills to both an internal and external audience · The ability to share and communicate your specific expertise to the rest of the Technology group
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Behavioural Fit: |
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· Professional appearance and manner · High personal drive; results-oriented; make things happen; “can-do attitude” · Can work and adapt within a highly dynamic and growing environment · Team Player; effective at building close working relationships with others · Effectively manages diversity within the workplace · Strong focus on service delivery and the needs and satisfaction of internal clients · Able to see issues from a global, regional and corporate perspective · Able to effectively plan and manage large projects · Excellent communication skills and interpersonal skills at all levels · Strong analytical, presentation and training skills · Innovative and creative · Visionary and strategic view of technology enablers (creative and innovative) · High verbal and written communication ability, able to influence effectively at all levels · Possesses technical expertise and knowledge to lead by example and input into technical debates · Depth and breadth of experience in infrastructure technologies · Enterprise mentality and a global mindset · Sense of humour
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Role Key Performance Indicators: |
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· Design and deliver repeatable, best in class, cloud database solutions · Pro-actively monitor service quality and take action to scale operational services, in line with business growth · Generate operating efficiencies, to be agreed with Infrastructure Services Manager · Establish a “best in sector” level of operational service delivery and insight · Help creates an effective team · Continuous improvement
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