Key Responsibilities Lead and mentor a team of 5-8 data scientists, providing technical guidance and career development Develop and implement the organization's data science strategy and roadmap in alignment with business objectives Oversee the full lifecycle of data science projects from conception to deployment Establish best practices, methodologies and standards for data science processes Drive the development of machine learning models, predictive analytics, and other advanced analytical solutions Collaborate with business leaders to identify opportunities for data-driven improvements Translate complex technical concepts into clear insights for non-technical stakeholders Ensure data quality, integrity, and proper governance in all data science initiatives Stay current with emerging technologies and methodologies in data science and AI Manage project timelines, resources, and budgets to ensure timely delivery of solutions Qualifications Master's degree or PhD in Computer Science, Statistics, Mathematics, or related quantitative field 7+ years of experience in data science or related analytical roles 5+ years of experience managing data science teams and projects Strong programming skills in Python, R, or similar languages Expertise in machine learning algorithms, statistical analysis, and data mining techniques Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) Proven track record of delivering impactful data science solutions that drive business value Excellent communication and presentation skills with ability to translate technical concepts for business audiences Strong project management and organizational abilities Business acumen with understanding of how data science can drive organizational success Preferred Qualifications Experience in our industry sector Knowledge of data visualization tools (Tableau, Power BI) Familiarity with MLOps and model deployment Experience implementing NLP or computer vision solutions Agile/Scrum certification or experience

Responsibilities: Develop and optimize Snowflake data warehousing solutions. Implement and manage AWS DevOps pipelines for continuous integration and delivery. Collaborate with cross-functional teams to gather and analyze requirements. Perform data analysis, modeling, and integration to ensure data quality and integrity. Monitor and troubleshoot Snowflake, and AWS DevOps performance issues. Automate processes and workflows to improve efficiency and scalability. Ensure security and compliance best practices are followed. Required Skills: Extensive experience in database development (SQL, NoSQL). Proficiency in Snowflake development and data warehousing concepts, Snowpipe, and Time Travel. Strong knowledge of AWS services (EC2, S3, Lambda, RDS, etc.). Experience with AWS DevOps tools (CodePipeline, CodeBuild, CodeDeploy). Proficiency in programming languages such as Python, Java or node.js Strong understanding of data modelling, ETL processes, and data integration. Hands-on experience with CI/CD pipelines and automation. Excellent problem-solving and analytical skills. Preferred Skills: Knowledge of containerization and orchestration (Docker, Kubernetes). Familiarity with data visualization tools (Tableau, Power BI). Experience with data governance and security practices. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment.

Roles and Responsibilities :- As a Data Scientist in the Financial Markets team, you will be responsible for developing cutting-edge AI-driven models and insights for financial markets clients such as Hedge Funds, Private Equity firms, Investment Banks, and Asset Managers. The models you build will leverage both traditional and alternative data sources, to enhance investment strategies. You will work closely with experts in financial markets to:- Develop and deploy AI-driven analytics utilizing proprietary GlobalData datasets to extract actionable insights. Design, fine-tune, and deploy Generative AI models (LLMs, diffusion models, AI agents) for financial market analysis, report generation, and predictive modeling. Implement Retrieval-Augmented Generation (RAG) frameworks to enhance financial document processing and knowledge extraction. Create AI-powered financial agents for automated decision-making and real-time analysis Build and optimize machine learning models for forecasting, scorecards, and predictive analytics. Conduct research on state-of-the-art Generative AI and machine learning techniques, integrating them into financial modelling use cases. Analyze alternative datasets, including textual, sentiment, and transactional data, to generate high-value investment insights. Present findings and Proof-of-Concept (PoC) solutions to senior management, stakeholders, and cross-functional teams. Develop technical documentation and presentation decks to showcase methodologies and outcomes. Job Qualifications Academic Qualification: Bachelor's/Masters degree in Data Science, Computer Science, AI, or a related field. Strong expertise in machine learning and artificial intelligence, particularly in Generative AI applications, NLP, and predictive modelling. Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or open-source alternatives (Llama, Mistral, Qwen, etc.). Experience in fine-tuning models, prompt engineering, and AI-driven automation. Proficiency in Retrieval-Augmented Generation (RAG) techniques for information retrieval and knowledge-based AI applications. Solid understanding of traditional analytics techniques, including data modeling, forecasting, and risk scorecards. Proficiency in Python, Tensor Flow/ PyTorch, Lang Chain, and Vector Databases. Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Familiarity with financial markets is preferred but not essential. Ability to translate research into scalable AI-driven financial solutions.

Position Overview We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team. Core Responsibilities Strategic Leadership Develop and execute our organization's vision and strategy for generative AI and LLM applications Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions Identify high-impact business opportunities where LLMs can deliver significant value Establish roadmaps for AI implementation hat align with broader organizational goals Stay at the forefront of rapidly evolving LLM technologies and industry developments Technical Direction Oversee the design, development, and optimization of LLM-based applications Guide the selection, customization, and fine-tuning of language models for specific use cases Establish architecture and frameworks for integrating LLMs into existing products and services Implement best practices for prompt engineering, context handling, and model evaluation Ensure AI solutions balance performance, cost-efficiency, and ethical considerations Team Management Build and mentor a talented team of AI specialists with expertise in generative models Create a collaborative environment that fosters innovation and knowledge sharing Set clear objectives and performance expectations for team members Recruit, develop, and retain top AI talent in a competitive market Promote continuous learning and professional growth within the team Cross-Functional Collaboration Partner with business leaders to translate organizational needs into AI solutions Collaborate with product, engineering, and design teams to integrate AI capabilities Communicate complex AI concepts effectively to various stakeholders Work with legal and compliance teams to ensure responsible AI deployment Drive AI literacy and adoption across the organization Experience 10+ years of experience in artificial intelligence or machine learning 5+ years of hands-on experience with LLMs and generative AI technologies 5+ years in leadership roles managing technical teams Proven track record of successfully implementing AI solutions in production environments Experience with LLM fine-tuning, prompt engineering, and AI application development Technical Skills Deep understanding of LLM architectures, capabilities, and limitations Expertise in natural language processing and generative AI techniques Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face) Experience with MLOps and AI deployment infrastructures Knowledge of responsible AI practices, including bias mitigation and ethical AI use Education Qualification Master's degree or PhD in Computer Science, AI, Machine Learning, or related field Relevant certifications in AI, machine learning, or cloud technologies are a plus Leadership & Professional Skills Strong strategic thinking and business acumen Excellent communication and stakeholder management abilities Team leadership and mentoring capabilities Problem-solving mindset and ability to drive innovation Project management skills and experience with agile methodologies

Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail. Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field

Skills:- Minimum 3+ years of experience in .Net Framework, C# , ASP.Net, SQL Server 2005/ 2008. Well-versed with JavaScript, AJAX, Web services, React.Js, Threading Have strong concepts of OOPS. Hands on experience in product/ project development using MVC Exposure of Endeca Configuration, NHibernate, JQuery etc., Strong database programming skills(T-SQL) Good communication skills in English, both written and verbal and analytical skills. Bachelors Degree in Engineering /Technology / MCA. Understanding of web usability issues and information architecture. Strong interpersonal and communication skills. Able to work and thrive in a fast-paced team environment and flexible to accommodate demanding Project schedules. Ability to express technical concepts clearly to people with no technical background Roles and Responsibilities:- Design ,Develop and maintain simple to complex .net applications Participate in agile development process to ensure project deliverables are met, on time and of high quality The quality and completeness of assignments, including initial design, development, bug fixing, quality engineering, documentation, and general product maintenance. To understand specification document and perform coding as per the design and standards & guidelines which are defined by Immediate Lead/Manager. Able to provide technical/solution guidance to Software Engineers/Junior Programmers Should be able to review the code/ work done by Software Engineers/Junior Programmers Doing impact analysis and resolving in-process problems independently, or with minor input from the technical lead. Interfacing with support and other teams for testing, delivery and product dependencies. Coordinating with test team members for system testing for specialized scripts.

Key Responsibilities: Review and analyse IT contracts and SLAs to ensure compliance with internal policies, legal standards, and information security requirements. Collaborate cross-functionally with Legal, IT Security, and Procurement teams to review, negotiate, and finalise contract terms. Track and manage the full lifecycle of IT contracts, ensuring timely renewals, amendments, and terminations. Identify key clauses, compliance gaps, risks, and client-specific requirements, aligning them with internal IT and security policies. Maintain a structured repository of all contracts, amendments, and associated documentation using contract management tools. Conduct risk assessments, perform compliance checks, identify critical clauses, and prepare concise contract summaries and reports. Remain current with industry trends, regulatory changes (e.g. data protection laws such as GDPR and CCPA), and best practices in IT contracting. Support the continuous improvement of contract review processes and contribute to internal documentation and policy alignment. Ideal Candidate Profile: Strong analytical skills with a keen eye for detail and the ability to interpret complex legal and technical terms. Technologically proficient, with a solid understanding of IT terminology, particularly relating to SaaS, cloud services, cyber security, and data privacy. Proactive, well-organised, and capable of managing multiple contracts and priorities in a fast-paced environment. Excellent written and verbal communication skills, with experience collaborating across departments. Qualifications: Bachelors degree in Business Law, Information Technology, or a related field (technical certifications are a plus). 2+ years of experience reviewing and managing IT/Technology contracts, ideally within a legal, procurement, or corporate compliance environment. Solid understanding of IT contracting concepts, including SLAs, SaaS agreements, and third-party vendor risk. Working knowledge of data protection regulations (e.g. GDPR, CCPA) and their implications in IT contracting. Familiarity with contract lifecycle management tools (e.g. DocuSign, Icertis, Jira, or AI-based review tools). Proficiency in Microsoft Excel, PowerPoint, and other documentation tools. Ability to work both independently and collaboratively across legal, IT, and procurement functions.

Key Responsibilities: Review and analyze IT contracts and SLAs to ensure compliance with internal policies, legal standards, and information security requirements. Collaborate cross-functionally with Legal, IT Security, and Procurement teams to review, negotiate, and finalize contract terms. Track and manage the full lifecycle of IT contracts, ensuring timely renewals, amendments, and terminations. Identify key clauses, compliance gaps, risks, and client-specific requirements, aligning them with internal IT and security policies. Maintain a structured repository of all contracts, amendments, and associated documentation using contract management tools. Conduct risk assessments, perform compliance checks, identify critical clauses, and prepare concise contract summaries and reports. Remain current with industry trends, regulatory changes (e.g. data protection laws such as GDPR and CCPA), and best practices in IT contracting. Support the continuous improvement of contract review processes and contribute to internal documentation and policy alignment. Ideal Candidate Profile: Strong analytical skills with a keen eye for detail and the ability to interpret complex legal and technical terms. Technologically proficient, with a solid understanding of IT terminology, particularly relating to SaaS, cloud services, cyber security, and data privacy. Proactive, well-organized, and capable of managing multiple contracts and priorities in a fast-paced environment. Excellent written and verbal communication skills, with experience collaborating across departments. Qualifications: Bachelors degree in Business Law, Information Technology, or a related field (technical certifications are a plus). 2+ years of experience reviewing and managing IT/Technology contracts, ideally within a legal, procurement, or corporate compliance environment. Solid understanding of IT contracting concepts, including SLAs, SaaS agreements, and third-party vendor risk. Working knowledge of data protection regulations (e.g. GDPR, CCPA) and their implications in IT contracting. Familiarity with contract lifecycle management tools (e.g. DocuSign, Icertis, Jira, or AI-based review tools). Proficiency in Microsoft Excel, PowerPoint, and other documentation tools. Ability to work both independently and collaboratively across legal, IT, and procurement functions.