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.
Key Responsibilities Secondary Research Extensive secondary research, understanding of basic terminologies used in epidemiology like prevalence, incidence, point prevalence, diagnosed and treated population etc. Knowledge of pricing data and disease epidemiology databases from where the information related to healthcare can be gathered. Ability to search methodically from a range of publicly available sources Primary Research Strong oral and written communication skills in order to interact effectively with Industry Experts and Surgeons/ Physicians across the globe and ability to express complex subjects in simple and clear way. Data Forecasting To develop Capital Equipment and Epidemiology based forecasting models for medical devices. Forecasting of data considering reimbursement policies, healthcare expenditure of the Government, advancements in medical technology, events impacting the sales and usage of products. Market Share Analysis Tracking allocated market, monitoring key performance indicators such as company revenues, company growth, competitive scenario, product recalls, advancements in medical technology & market trends Understanding of companys annual reports, Form 10-K, SEC filings and investor presentations. Other Key Responsibilities Managing and tracking timelines to ensure timely delivery. Reporting on a regular basis as regards progress to the Manager/ Team Leads. Complying with internal processes and policies including the HR, Finance and IT departments of the company. Healthy interaction with peers et al. Help the team in answering client queries as and when required. Perform quality check of deliverables. Person Specification Experienced with B.Tech (Biotech, Bio Medical) / B.Pharma & M.Tech (Bio-tech) or M.Pharma.or equivalent Strong analytical skills and ability to think critically, challenge conclusions and underlying assumptions Strong oral and written communication skills in order to interact effectively with Industry Experts and Doctors across the globe and ability to express complex subjects in simple and clear way. Be able to work independently and as part of a team with professionals at all levels Be able to prioritize tasks, work on multiple assignments, and raise concerns/questions where appropriate Proficiency in MS Office, specifically MS Word and PowerPoint; basic knowledge of MS Excel is an advantage Must be willing to guide, help and train other members within the team Competencies to be demonstrated Secondary Research Skills Strong interest in research and familiarity with global pharmaceutical industry Familiarity with databases, international research sources and content Ability to search methodically from a range of publicly available sources MS Office Skills: Should have a basic working knowledge of MS Office Problem Solving Skills: Ability to think smartly and interpret data and analysis Ability to prioritize, multi-task, and deliver with regard to fast deadlines Eagerness to learn Should be keen to expand skill sets and learn about business, markets and industries Willingness to take up additional responsibilities Communication Skills: Good Verbal Communication Flair for writing and eye for detail Leadership Skills: Positive attitude, ability to interact with many levels, ability to face and deal with issues in a mature and professional manner Ability to work as part of a team but will still need to act/function independently when working through projects GDRC offers: A challenging, exciting and stimulating career in research and analysis within our global community. Full support and a structured career path to assist you in developing into an industry recognised expert On the job training Research and Analysis excellence Model. Develop writing, analysis, quantitative and modelling skills sets. Develop an in depth knowledge of key industries. Work in a youthful and exuberant environment with other people who are intelligent and committed to their work. Early responsibility - your career progression is limited only by your abilities and your ambition.
Key Responsibilities: Lead, mentor, and manage a team of Python developers to deliver high-quality software solutions. Oversee the planning, execution, and successful delivery of complex Python-based projects. Drive automation efforts including web crawling and web scraping using Python (e.g., BeautifulSoup, Scrapy). Architect and implement scalable backend systems using Python frameworks like Django. Collaborate with stakeholders to define project goals, timelines, and deliverables. Promote best practices in coding, testing, DevOps, and Agile development. Enhance team productivity by continuously improving development processes and methodologies. Provide technical guidance on technologies including Docker, Numpy, and AWS cloud services. Explore and integrate emerging technologies, including Generative AI tools and APIs. Ensure effective database design and integration using relational and/or NoSQL databases. Required Qualifications: 10+ years of experience in software development and team leadership across the full SDLC. 5+ years of hands-on experience working with Python in production environments. Proven experience in automation, web scraping, and data extraction using Python. Strong knowledge of frameworks and tools: Python, Django, Numpy, Docker, BeautifulSoup. Experience working with cloud platforms (preferably AWS) and DevOps practices. Understanding of database technologies: PostgreSQL, MySQL, MongoDB, or similar. Exposure to Generative AI technologies and their application in real-world scenarios. Bachelors or Master's degree in Computer Science, Engineering, or a related field. Excellent communication, leadership, and project management skills. Preferred Qualifications: Experience with machine learning or AI libraries is a plus. Prior experience in building large-scale web applications or data platforms. Familiarity with microservices architecture and container orchestration.
Key Responsibilities: Develop and maintain scalable web scraping solutions to extract data from various websites. Optimize scraping scripts for performance, efficiency, and reliability. Ensure compliance with legal and ethical standards for web scraping. Work with large datasets, including data cleaning and transformation. Collaborate with the team to integrate scraped data into databases or other storage solutions. Troubleshoot and resolve scraping-related challenges, including CAPTCHA handling and IP blocking. Write well-structured, maintainable, and reusable code. Requirements: 4+ years of Python development experience. Strong experience with web scraping frameworks like Scrapy, BeautifulSoup, Selenium, or Playwright. Good understanding of HTML, CSS, JavaScript, and browser automation. Experience working with APIs (RESTful, GraphQL) and data storage solutions (SQL, NoSQL). Familiarity with cloud-based services like AWS, Azure, or GCP is a plus. Strong problem-solving skills and ability to work independently.
We are seeking an experienced Project Manager to join our automotive team at Global Data in India. The successful candidate will be responsible for overseeing various automotive projects, ensuring they are completed on time, within scope, and within budget. The ideal candidate should have a strong background in project management, excellent leadership skills, and a deep understanding of the automotive industry. Responsibilities Lead and manage multiple automotive projects from inception to completion. Coordinate with cross-functional teams to ensure timely delivery of project milestones. Develop project plans, timelines, and budgets while managing resources effectively. Conduct risk assessments and implement mitigation strategies throughout the project lifecycle. Facilitate regular project meetings, updates, and reports to stakeholders and senior management. Monitor project progress and make adjustments as necessary to ensure successful completion. Ensure compliance with industry standards and regulations within the automotive sector. Skills and Qualifications Bachelor's degree in Engineering, Project Management, or related field. 7-12 years of experience in project management within the automotive sector. Proven track record of managing complex projects and leading teams to success. Strong understanding of project management methodologies (e.g., Agile, Waterfall). Excellent communication and interpersonal skills. Ability to work under pressure and manage multiple priorities effectively. Proficient in project management software (e.g., MS Project, JIRA, Trello). Strong analytical and problem-solving skills.
Roles and Responsibilities: The job requires the candidate to work on Wordpress multisite and PHP - Design and implement applications/sites in WordPress Lead and Mentor technical team for all maintenance and new site tasks To pro-actively address all technical issues and coordinate with India and UK teams Participate in agile development process to ensure project deliverables are met, on time and of high quality Managing and delivery of projects from conceptualization, visualization to technology mapping and final execution of projects Monitoring development activities and reporting project progress Understand specification document and perform coding as per the requirements and standards Good knowledge on SQL Queries. Should be able to create and execute moderate to complex queries. Skills: Expert in PHP, WordPress & other open source tools Strong knowledge in JavaScript, Ajax, jQuery, XML, XHTML, HTML5, CSS& knowledge of working with third party web services Knowledge on Ecommerce (Payment Gateways, Shopping Carts, SEO Friendliness Coding, etc.) SQL and MySQL Desired Candidate Profile: Masters degree (B Tech)/MCA Min 9-11 years of experience in PHP Strong programming skills Good aptitude and problem-solving skills Must have contributed to code review process Good to Have: Knowledge of LLM and Generative AI tools Understanding of cloud and cloud native technologies
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
About the Role We are looking for a skilled DevOps Engineer to join our growing technology team. The ideal candidate will bring 7-10 years of proven experience in designing and managing scalable CI/CD pipelines, cloud infrastructure, monitoring solutions, and automation frameworks. You will collaborate with development, QA, and operations teams to ensure reliability, security, and efficiency across our platforms. Key Responsibilities Design, implement, and maintain end-to-end CI/CD pipelines for automated build, testing, and deployment. Manage and optimize AWS cloud infrastructure to ensure scalability and resilience. Implement Infrastructure as Code (IaC) using tools like Terraform, Ansible, or CloudFormation . Monitor performance, troubleshoot issues, and ensure high system availability . Collaborate with developers to enable smooth deployments and accelerate delivery cycles. Establish and enforce security best practices and compliance standards. Automate repetitive/manual tasks to reduce operational overhead . Participate in on-call rotations and lead incident response to maintain platform reliability. Required Skills & Experience 5-8 years in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles. Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, etc.). Hands-on experience with Docker and Kubernetes for containerization and orchestration. Deep knowledge of AWS cloud services . Proficiency in IaC tools such as Terraform and Ansible. Strong skills in Linux system administration and scripting (Bash, Python, or Shell). Experience with monitoring & logging tools ( Prometheus, Grafana, ELK, Splunk, CloudWatch ). Familiarity with networking, load balancers, DNS, firewalls, and security practices . Excellent problem-solving skills and ability to thrive in fast-paced environments . Education Bachelors or Masters degree in Computer Science, Information Technology, or a related field . Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, Terraform Associate ) are a plus. Nice to Have Experience with service mesh (e.g., Istio, Linkerd) or API gateways . Knowledge of serverless architectures and event-driven systems . Exposure to FinOps and cloud cost optimization. Understanding of Agile methodologies and DevSecOps practices .
About the Role: We are looking for a dynamic professional to lead data exploration and market research initiatives that drive strategic business insights. The role involves analyzing diverse data sources to identify emerging trends, consumer behaviours, and market opportunities. You will collaborate closely with cross-functional teams to translate data findings into actionable business outcomes. The ideal candidate brings strong analytical expertise, leadership capabilities, and a passion for uncovering meaningful insights through data. Experience with AI-driven products and advanced analytical tools will be an added advantage. What youll be doing Data Exploration & Discovery : Analyze and explore various data sources (internal and external such as social media, e-commerce, food menus) to uncover new patterns and insights; also, ensure data quality and completeness. Own the relationships with multiple data partners. Trend Identification : Identify emerging trends, consumer behavior patterns, and market shifts using advanced analytical techniques and tools. Team Leadership & Management : Manage a diverse team of full-time employees, contractors, and interns - providing guidance, mentorship, and performance feedback to ensure high-quality output and professional growth across all roles. Collaboration with Teams : Work closely with sales, customer success, data scientists, data engineers, product managers, and other stakeholders to define data discovery requirements and ensure alignment with business objectives. Reporting & Documentation : Prepare detailed reports on findings, methodologies, and insights, ensuring that results are well-documented and accessible to stakeholders. Present findings through compelling data visualizations and files. Continuous Improvement : Suggest improvements in data collection processes, data exploration techniques, and analysis methods to enhance the overall quality of insights delivered. What were looking for Experience : 5-10 years of experience in market research with data analysis, data discovery, or business intelligence. AI Product experience will be highly preferred. Technical Skills : Proficiency in SQL and data manipulation tools. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) is a plus Familiarity with Python or R for data analysis and exploration is preferred. Understanding of statistical analysis techniques and data modeling. Soft Skills : Strong problem-solving skills and a curiosity-driven mindset. Ability to work collaboratively with cross-functional teams. Excellent communication skills, both written and verbal, with the ability to convey complex data insights to non-technical stakeholders. Qualifications: Education : Bachelor's or Master's degree in Market Research, Business Analytics, or a related field.
Key Responsibilities Test Strategy & Planning Define and implement the overall testing strategy for web, mobile, and API projects. Collaborate with product managers, developers, and business analysts to understand requirements and acceptance criteria. Automation Framework Development Design, build, and maintain scalable test automation frameworks (UI, API, integration, regression). Integrate automated tests into CI/CD pipelines and improve test execution efficiency. Testing Execution Write, review, and execute automated test scripts across different platforms. Conduct functional, regression, performance, and crossbrowser tests. Ensure comprehensive test coverage by identifying areas suitable for automation. Establish QA best practices, coding standards, and documentation. Monitor test results, analyze defects, and work with developers to resolve issues. Collaboration & Leadership Mentor and coach junior QA engineers on automation practices. Support release processes by providing test signoffs and quality metrics. Drive rootcause analysis and continuous improvement initiatives. Required Skills & Qualifications Technical Skills Strong proficiency in automation tools/frameworks (e.g., Selenium, Cypress, Playwright, Appium). Expertise in scripting/programming languages (Java, Python, JavaScript, or C#). Experience with REST/SOAP API testing (Postman, RESTAssured, Karate, etc.). Knowledge in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, etc.). Knowledge in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus. Knowledge of performance testing tools (JMeter, Gatling) preferred. Professional Skills 5-7+ years of experience in software testing, with at least 3+ years in test automation. Strong understanding of SDLC, STLC, and Agile/Scrum methodologies. Excellent problemsolving, analytical, and debugging skills. Strong communication and collaboration abilities. Education & Certifications Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).
Role : Data Science and LLM Director Overview This combined role leads the organization's data science initiatives with a special focus on Large Language Models (LLMs), generative AI technologies, and intelligent automation. The position requires strategic leadership in data-driven decision making, specialized expertise in implementing cutting-edge AI language models, and proficiency in developing automated solutions to transform business operations and enhance organizational efficiency. Core Responsibilities :- Leadership & Strategy Lead and mentor a team of data scientists, ML and Python engineers, and automation specialists, fostering a culture of innovation, collaboration, and continuous learning Develop and execute the organization's data science, generative AI, and automation vision, strategy, and roadmap aligned with business objectives Identify and prioritize high-impact opportunities where data science, LLMs, and automation can drive business value and operational efficiency Partner with senior executives to ensure AI and automation initiatives support broader organizational goals Establish governance frameworks, ethical guidelines, and best practices for responsible AI deployment and automated process implementation Drive automation strategy to streamline workflows, reduce manual processes, and enhance productivity across data science operations Technical Direction Design scalable data processing pipelines and architecture for analytics, modeling, LLM implementation, and automated workflows Oversee the evaluation, fine-tuning, and deployment of large language models for specific business applications Drive implementation of data science, LLM, and automation solutions across various business functions including customer service, content generation, knowledge management, and process optimization Develop and implement intelligent automation strategies to streamline data workflows, model deployment, and operational processes Balance innovation with practicality, selecting appropriate technologies and automation tools based on business needs and ROI Guide the integration of LLMs with existing data infrastructure, systems, and automated processes Establish automated monitoring using Python , testing, and deployment pipelines for AI/ML models and data science solutions Applied Data Science Lead the development of predictive models, machine learning solutions, and LLM applications Ensure data quality and appropriate data management practices across initiatives Direct the collection of new data and refinement of existing data sources to improve model performance Oversee experimentation and validation processes to evaluate solution effectiveness Facilitate the translation of complex analytical findings into actionable business insights Communication & Education Present findings and recommendations to key stakeholders through reports and presentations Serve as the organization's point person for generative AI knowledge and applications Develop educational resources and training programs to build data science and AI literacy Communicate complex technical concepts to non-technical stakeholders in clear, understandable terms Prepare white papers, case studies, and other materials showcasing data science and LLM successes Qualifications, Education & Experience Master's or B,tech in Computer Science, Statistics, Mathematics, Data Science, Machine Learning or related quantitative field 10+ years of experience in data science, with at least 3+ years focusing on natural language processing or LLMs 7+ years of experience managing technical teams and leading complex projects 5+ years of hands-on experience in automation, process optimization, and workflow automation tools 8+ years of advanced Python programming experience, including data science libraries, automation frameworks, and ML/AI development Demonstrated success implementing data science and automation solutions that deliver measurable business impact Experience with large language model deployment, fine-tuning, and evaluation Proven track record in developing and implementing automated data pipelines, ML model deployment, and intelligent process automation using Python Technical Skills Expert-level programming skills in Python and proficiency with data science/ML libraries Strong background in machine learning, deep learning, and statistical analysis Hands-on experience with LLM frameworks such as PyTorch, TensorFlow, or Hugging Face Experience with MLOps and the automation of model training, evaluation, and deployment Proficiency with cloud platforms (AWS, GCP, Azure) and big data technologies Knowledge of data visualization tools and techniques for effective communication Leadership & Soft Skills Strategic thinking and business acumen with ability to align technical solutions to business needs Exceptional communication skills for conveying technical concepts to diverse audiences Experimental mindset with ability to balance innovation with practical implementation Strong project management capabilities and experience with agile methodologies Collaborative approach to working with cross-functional teams and stakeholders Key Performance Indicators Development and execution of data science and LLM strategy with measurable business impact Successful implementation of LLM-powered solutions that improve operational efficiency Quality and effectiveness of data science team output and deliverables Adoption of data-driven decision making across the organization Creation of scalable, sustainable data science and AI infrastructure
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:- 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