Senior Developer: 4.5-8yrs Manager: 8 -12yrs Mandatory Skills: DS exp with NLP and GEN AI Development (Mandatory) with AWS OR Azure exp (Mandatory), Python Location: Hyderabad & Bengaluru Mode of interview: Virtual Note: 3/5 days a week WFO Ready to relocate to Hyderabad or Bengaluru upon selection Notice Period: immediate to 60Days Job Title: Data Scientist Job Summary: We are looking for a seasoned Data Science senior roles with a minimum of 5+ years of experience in Data Science and Machine Learning to lead our AI team. The ideal candidate will have a strong background in NLP, Transformers, Generative AI, Responsible AI and MLOps, as well as experience in deploying AI solutions across various cloud platforms. This role requires a combination of technical acumen, leadership skills, and a strategic mindset to drive AI initiatives that align with our business objectives. Key Responsibilities: Leadership: Direct and support the AI team in developing and implementing advanced AI/ML solutions, ensuring projects align with the company's strategic goals. Project Management: Oversee the entire lifecycle of AI projects, from ideation to deployment, prioritizing tasks, and managing resources to meet deadlines and deliverables. Technical Mastery: Utilize expertise in Python, NLP, Transformers, and Generative AI to lead technical innovation and maintain high standards of excellence within the team. Cloud and MLOps Integration: Leverage cloud platforms such as AWS for deployment and incorporate MLOps practices to enhance model development, deployment, and monitoring. System Architecture: Architect scalable, reliable, and high-performing AI systems that integrate seamlessly with existing infrastructure. Stakeholder Collaboration: Engage with stakeholders to convert business challenges into analytical questions, fostering a data-driven culture and driving impactful solutions. Team Development: Mentor team members, promote professional growth, and cultivate a culture of innovation and continuous improvement. Ethical AI Implementation: Uphold ethical standards in AI practices, ensuring models are fair, transparent, and accountable. Effective Communication: Develop and deliver clear, concise presentations to communicate complex technical details to diverse audiences, facilitating understanding and buy-in. Requirements: Degree in Computer Science, Engineering, or a related technical field at the bachelor's or master's level; candidates with a Ph.D. will be given preference. At least 5+ years of professional experience in the realm of Data Science and Machine Learning, including a leadership role with a documented history of success. Expertise in Python programming and experience with AI/ML libraries such as TensorFlow or PyTorch. Comprehensive understanding of Natural Language Processing (NLP) and hands-on experience with Transformer architectures. Proficient in leveraging AWS cloud platforms for the deployment of AI-driven solutions. Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models. Solid grasp of MLOps concepts and practical experience with tools such as Docker, Kubernetes, and Git for operational efficiency. Capable of architecting and executing CI/CD workflows and managing infrastructure as code using tools like Terraform or AWS CloudFormation. Exceptional problem-solving abilities, analytical mindset, and effective communication skills. Established expertise with a minimum of 8 years in a technical capacity concentrating on AI/ML applications. Deep knowledge of AI/ML frameworks, NLP techniques, and Transformer-based model implementations. Proficiency in MLOps methodologies, including familiarity with LLMOps. Experience in developing APIs using frameworks such as FastAPI. Understanding of container orchestration using AWS EKS and familiarity with infrastructure frameworks like Bedrock. Oversee ethical AI practices, ensuring fairness, accountability, and transparency in AI systems. Expert in AI governance, implementing and monitoring responsible AI frameworks. Manage risk and compliance with regulatory and ethical standards for AI deployment. Champion ethical decision-making in AI development and operational processes.

Job Title: AI/ML Architect Location: Chennai, India Work Mode: Hybrid Job Description: We are seeking a highly experienced Senior AI/ML Architect to lead the design, development, and deployment of advanced AI and Machine Learning solutions. The ideal candidate will have a strong background in AI/ML technologies , with a proven track record of delivering scalable, efficient, and business-driven solutions in complex environments. Key Responsibilities: • Architect & Develop AI Solutions: Design and implement end-to-end AI/ML solutions that align with business objectives and scalability requirements. • Stakeholder Collaboration: Work closely with business and IT stakeholders to understand objectives and translate them into actionable AI/ML solutions. • Implementation Oversight: Lead the development, deployment, and optimization of AI models and ensure adherence to best practices throughout the ML lifecycle . • Research & Innovation: Stay updated with the latest AI/ML advancements and incorporate cutting-edge innovations to maintain a competitive edge. • Team Leadership: Mentor and guide a team of data scientists and AI engineers , fostering a culture of continuous learning and innovation . Qualifications & Skills: • Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field . An MBA is a plus. • Experience: 15-20 years of overall IT experience , with at least 10 years in AI/ML roles . • Technical Proficiency: Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn . • Programming Skills: Proficiency in Python, R , and other relevant programming languages. • Cloud Platforms: Hands-on experience with cloud-based AI/ML services (AWS, Azure, Google Cloud). • Problem-Solving: Strong analytical and problem-solving skills , with the ability to translate business challenges into AI solutions. • Communication & Leadership: Excellent verbal and written communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Proven experience in leading and mentoring technical teams. Preferred Qualifications: • Experience with Generative AI and Large Language Models (LLMs) . • Familiarity with MLOps practices and tools. • Knowledge of data governance and ethical AI considerations . This is an exciting opportunity to work on cutting-edge AI/ML projects , driving innovation and delivering impactful solutions within our organization.

such as text classification, semantic search, information extraction/retrieval, sentiment analysis, Bayesian classification, POS tagging, NER, shallow parsing, language modeling, clustering, and ontology & taxonomy. Program in Python (R is also desired). Use SQL and NoSQL databases like PostgreSQL, MongoDB, Cassandra. Manage source code with systems like GIT, SVN. Knowledge of search engines, information retrieval, spam detection, recommendation systems, social networks, machine learning, and NLP is a plus. Good knowledge of Elastic Search/Lucene is a plus. Experience with knowledge graphs and traditional conversational AI. Bachelors or masters with 6-10 years of experience in NLP. Strong programming skills in Python. Proficiency in SQL and NoSQL databases. Experience with source code management systems. Knowledge of search engines and information retrieval. Good knowledge of Elastic Search/Lucene. Experience with knowledge graphs and traditional conversational AI. Excellent problem-solving and analytical skills. Strong communication and teamwork skills.

Exciting Career Opportunity! We are a product-centric insight & automation services company globally, helping organizations around the world make better & faster decisions using the power of insight & intelligent automation. We build and operationalize next-gen strategies through Big Data , Artificial Intelligence , Machine Learning , Unstructured Data Processing , and Advanced Analytics . With our extensive experience in data sciences & analytics , we stand out from the competition in India. We firmly believe in Excellence Everywhere . Job / Role Information: Designation: Machine Learning Engineer / Data Scientist (with expertise in Generative AI & Data Engineering) Experience: 3 to 5 Years Function: AI & Data Science Enterprise Delivery Location: Gurgaon/NCR Role: Team Manager Job Description Purpose of the Job/Role This role is responsible for managing client expectations and strategizing with various stakeholders to meet customer requirements . KEY RESPONSIBILITIES: Data Science: Develop machine learning models to support recommendation systems and NLP projects Provide actionable insights for product and service optimization Data Engineering: Build and maintain scalable ETL pipelines Optimize data storage solutions (data lakes, columnar formats) and ensure data accuracy for analytics Data Analysis & Insight Generation: Analyze complex datasets to uncover trends and patterns Generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions Working Relationships: Reporting to: VP Business Growth External Stakeholders: Clients Skills/Competencies Required: Technical Skills: Proficiency with Python (Pandas, NumPy), SQL , and Java Experience with LLMs , Lang Chain , and Generative AI technologies Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka) Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders Proficient in key data engineering concepts , such as data lakes , columnar formats , ETL tools , and BI tools Knowledge in Machine Learning , NLP , Recommender systems , personalization , Segmentation , microservices architecture , and API development Ability to adapt to a fast-paced , dynamic work environment and quickly learn new technologies Soft Skills: Work well in a team or independently Excellent written & verbal communication skills Strong critical thinking and questioning skills High degree of flexibility willing to fill in the gaps rather than relying on others Strong communication skills, especially in presenting data insights Flexibility, problem-solving, and a proactive approach in a fast-paced environment Academic Qualifications & Experience Required: Required Educational Qualification & Relevant Experience: Bachelor's Degree in Computer Science , Data Analytics , Engineering , or a related field Minimum 3 to 5 years of experience in data science and data engineering Strong critical thinking abilities and capacity to work autonomously Proficient understanding of key data engineering concepts (data lakes, columnar formats, ETL tools, and BI tools) High motivation , good work ethic , maturity, and personal initiative Strong oral and written communication skills Equal Opportunity Employer We are committed to an inclusive work environment. We do not differentiate candidates on the basis of religion , caste , gender , language , disabilities , or ethnic group . We reserve the right to place or move any candidate to any location globally, in the best interest of our business. Interested? If you're passionate about data science and ready to take your career to the next level, we want to hear from you! Send your resume to: smita.gurung@cielhr.com

10+ Years in the field of applying methods in statistical learning in developing data driven solutions 5+ years’ exp of leading and managing a team. Proficiency in various data science languages Python, R, SAS, SQL, Spark, TensorFlow, and GenAI

Job Overview: As an Emerging Technology Architect with 15+ years of experience in identifying, evaluating, and integrating cutting-edge technologies into the organization's ecosystem and future projects, ensuring that the organization stays ahead of industry trends and maintains a competitive edge. Must have proven experience in Pre-sales and Principal Architect / Lead Solution Architect Role in Emerging technology like AI/ML, Blockchain, etc. Responsibilities: Technology Evaluation and Adoption: The Emerging Technology Architect is responsible for leading the strategic design, implementation, and governance of next-generation technology solutions across AI/ML, cloud, blockchain, big data, security, and automation. This role requires deep expertise in cutting-edge technologies, industry best practices, and innovative approaches to drive business transformation. Identify emerging technologies like Gen AI, DeFi, LC-NC, AI-ML, Data Engineering etc and assess their potential impact on the organization. Conduct thorough research and feasibility studies to evaluate new technologies. Develop technology roadmaps and adoption strategies aligned with business objectives. RFP/RFI/RFQ response for Architectural Design: Lead the end-to-end process of responding to RFPs, RFIs, and RFQs, ensuring timely and high-quality submissions. Analyze and understand client requirements, and collaborate to gather relevant information. Lead architectural discussions and solution workshops for design exercises to create E2E solutions and mapping requirements to solution/service catalogues. Must be able to lead client discussions, workshops, support presales solutions and deliver on short-term discovery, architecture assessments. Drive architectural change management and oversee the design, implementation, or delivery of processes, programs, and policies using specialized knowledge and skills. Participate in the Architecture Review process. Actively listens and respectfully challenges customers/partners when going in the wrong direction, presents insights and alternatives, and takes action appropriately. Lead the design of innovative, scalable, and secure solutions using emerging technologies. Develop architectural blueprints and maintain documentation to ensure consistency with best practices. Collaborate with cross-functional teams to integrate new technologies into existing systems. Design and implement AI/ML solutions, including NLP, LLMs, computer vision, and generative AI to enhance business intelligence and automation. Stay ahead of industry trends, contribute to whitepapers, and represent the organisation in technology forums and conferences. Develop and articulate technical solutions, architecture, and strategies to address client needs as outlined in the RFP/RFI/RFQ. Collaborate with various teams (technical, sales, legal, etc.) to create comprehensive and persuasive proposals. Qualifications: B.E. / B. Tech / M. Tech / MCA Renowned Certification in AI/ML , BlockChain 15 + years of experience in IT related projects 10+ years of experience in IT projects for Govt. clients Experience in IT projects in Finance sector At least 5 years or more working as AI/ML Architect Architect in large scale IT projects (More than 100 Cr.) Strong understanding of cloud-based technologies and architecture patterns (AWS, Azure, GCP etc.) Knowledge of emerging technologies like Generative AI, Blockchain technologies, Low- Code/No-Code platforms, etc 10+ years of experience in IT projects for Govt. clients

Key Responsibilities AI Solution Design and Development: Lead the design and development of AI-based automation solutions aligned with our business process audit and restructuring services. Prompt Engineering: Create, test, and refine custom AI prompts tailored to different business functions (e.g., finance, HR, operations) to deliver precise insights and enable automation. Data Integration and Analysis: Integrate client data into AI models (e.g., ChatGPT), ensuring the accuracy and relevance of data used for automation. Analyze data outputs to drive actionable recommendations. Automation Workflow Setup: Design and implement automated workflows for clients using AI, ensuring streamlined operations, reduced manual tasks, and improved efficiency. Execution of AI-Driven Restructuring: Collaborate with clients to implement restructuring plans based on AI insights, from planning stages to hands-on execution. Continuous Optimization: Monitor AI and automation workflows to ensure effectiveness. Regularly update prompts, adjust workflows, and enhance the AI system based on client feedback and evolving business needs. Client Support and Training: Work with client teams to train them on using AI-based tools, prompt interactions, and workflow automation best practices. Entrepreneurial Vision and Strategy: Apply an entrepreneurial mindset to identify new opportunities for enhancing and expanding our AI-driven services, contributing to strategic growth and innovation. Key Qualifications Educational Background: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field. Experience: Minimum of 1+ years of experience in AI automation, prompt engineering, or similar roles. Proven experience working with AI models (e.g., OpenAI, ChatGPT) and prompt engineering. Demonstrated expertise in designing and implementing automation workflows. Technical Skills: Proficient in AI and machine learning concepts, natural language processing (NLP), and data analysis. Experience with data integration, API setup, and managing large data sets. Familiarity with tools like ChatGPT, GPT-4, or other large language models, as well as automation tools (e.g., Zapier, Power Automate). Soft Skills: Strong entrepreneurial mindset with a proactive, solution-oriented approach to business challenges. Excellent communication skills for effective client interaction, training, and support. Strategic thinker with the ability to make data-driven decisions and align AI implementations with business objectives. Ability to work independently, execute tasks efficiently, and manage multiple projects simultaneously. Preferred Qualities Problem Solver: Resourceful, with a natural ability to identify gaps and provide creative AI-driven solutions. Smart Executor: Highly organized, with the ability to move from strategy to action swiftly and effectively. Continuous Learner: Enthusiastic about keeping up-to-date with advancements in AI, automation, and business technology. Client-Centric Mindset: Passionate about working closely with clients to understand their needs and deliver tailored solutions that drive meaningful business impact.

Experience 6 - 8 years. Skills: A strong level of proficiency in python programming. Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS. Understanding business needs / mapping it to the business processes. Hands on experience in agile project delivery. Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed. Good in articulating the business needs. Good analytical and problem-solving skills. Good communication, listening and probing skills. Strong inter-personnel skills. Should collaborate with other team members and work as team. Job Description: Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j. Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning

Design, develop, and deploy Generative AI solutions leveraging state-of-the-art AI/ML technologies. Perform fine-tuning of LLM models, RAG implementation, and dataset curation to deliver customized AI use cases. Work with platforms like GCP, AWS, Azure, and private servers/edge devices to create scalable AI systems. Implement AI tools and frameworks, such as NVIDIA libraries, TensorFlow, and PyTorch, to develop advanced solutions. Ensure seamless integration of AI models with business processes, and adhere to best practices in software development methodologies. Demonstrate strong knowledge of NLP, neural networks, and cloud platforms while ensuring robust performance and innovation in Gen AI solutions. Skills : - Gen AI/ML, LLM Fine-Tuning, Cloud Platform Expertise (AWS, Azure, GCP), RAG Implementation, NLP, Python, Neural Networks, Gen AI, Machine Learning, LLM Fine-Tuning, RAG Implementation, TensorFlow, PyTorch, NVIDIA Libraries, Python, NLP, Cloud Platforms (AWS, Azure, GCP), AI Use Case Development, AI Integration, Software Development Methodologies

KEY RESPONSIBILITIES Data Science : Develop machine learning models to support recommendation systems and NLP GEN AI projects; provide actionable insights for product and service optimization. Data Engineering : Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics. Data Analysis and Insight Generation : Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services. Stakeholder Collaboration : Work with product and service teams to understand data needs and translate them into technical solutions. Skills/ Competencies Required Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

14+yrs including a min 7yrs in the IT Services industry Should have worked at least 5 years in big IT organization at senior position and driving Digital initiative sales Exposure into Global Markets for Enterprise Accounts in at least 3 of these Required Candidate profile Regions - USA, Europe, APAC, India and Middle-East Must have managed a team of sales professionals Demonstrated ability to build Principal Relationship and bring Growth for the business

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Client: Tech Mahindra Exp: 4+ Years Skills: Data Scientist, Python, Machine Learning, Generative AI, Cloud exp

Client: Tech Mahindra Exp: 4+ Years Skills: Data Scientist, Python, Machine Learning, Generative AI, Cloud exp

Client: Tech Mahindra Exp: 4+ Years Skills: Data Scientist, Python, Machine Learning, Generative AI, Cloud exp

Client: Tech Mahindra Exp: 4+ Years Skills: Data Scientist, Python, Machine Learning, Generative AI, Cloud exp

Client: Tech Mahindra Exp: 4+ Years Skills: Data Scientist, Python, Machine Learning, Generative AI, Cloud exp

Data Scientist with GenAi and GCP Vertex AI MLOps Engineer: 7+ Years Budget: 32L (Job Location: Hyderabad (First Preference)/Bangalore/Pune/Chennai 3- Roles Mandatory Skills: ML, NLP, GenAI, GCP Vertex AI

Data Scientist with GenAi and GCP Vertex AI MLOps Engineer: 7+ Years Budget: 32L (Job Location: Hyderabad (First Preference)/Bangalore/Pune/Chennai 3- Roles Mandatory Skills: ML, NLP, GenAI, GCP Vertex AI

Data Scientist with GenAi and GCP Vertex AI MLOps Engineer: 7+ Years Budget: 32L (Job Location: Hyderabad (First Preference)/Bangalore/Pune/Chennai 3- Roles Mandatory Skills: ML, NLP, GenAI, GCP Vertex AI

About The Role :About The Role : / Roles & Responsibilities (in Detail) Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning. AIML solution development in Azure using Python Ability to build and finetune the model to improve the performance Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. Use experience and advise leadership and team of data scientists best approaches, architectures for complex ML use cases. Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. Create end to end AI systems with responsible AI principles Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference. Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. Responsible for continuous communication about the team progress to key stakeholder

6-15 years proven experience as a Data Scientist or Machine Learning Engineer Bachelors or Masters degree in Computer Science, Engineering or Data Science Machine Learning relevant field; graduate degree in Data Science or another quantitative field is preferred Key Skills Machine Learning Engineer with strong knowledge of Python and cloud based deployments Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc Strong knowledge of Lang Chain framework and Fast API of python is a must have. Knowledge of runtimes like ONNX, Quantization, QLORA technique Working experience of Cloud preferably Azure. Understanding of MLOps frameworks is a big plus Knowledge of Classification, Q&A network using BERT etc Strong knowledge of tensorflow and pytorch frameworks

A Technical Architect with minimum 10+ Years of experience for a SaaS-based CRM & ERP platform using Microsoft .NET, Angular UI, and AI-based agents in the India market needs a strong blend of technical expertise, architectural vision, and leadership skills. Below is a breakdown of the required skill sets: Technical Skills Software Architecture & Design Microsoft .NET Tech Stack Angular & Frontend Technologies AI-Based Agent Development Database & Data Management Cloud & DevOps (Azure Preferred) Business & Domain Knowledge Leadership & Communication Skills Certifications (Preferred but Not Mandatory) Deep knowledge of Microservices Architecture and Event-Driven Architecture . Experience with Domain-Driven Design (DDD) and Service-Oriented Architecture (SOA) . Strong understanding of Scalability, High Availability, and Fault Tolerance in cloud environments. Expertise in RESTful API design , GraphQL for inter-service communication. C# and .NET Core for backend services. Entity Framework Core for ORM. ASP.NET Core Web API for developing microservices. Experience with Azure Functions, Logic Apps, and App Services for serverless and cloud-based execution. Deep understanding of Angular (latest versions) for building a modern, responsive UI. Strong knowledge of RxJS for reactive programming. Experience with State Management (NgRx, Akita, or Redux) . Expertise in Material UI, Bootstrap, or TailwindCSS for UI/UX enhancements. Knowledge of NLP (Natural Language Processing) and Conversational AI for AI-driven assistants. Experience with Azure AI Services (Cognitive Services, OpenAI, ML models) . Ability to integrate AI-based recommendations and automation into CRM/ERP workflows. SQL Server with expertise in Stored Procedures, Query Optimization, and Indexing . Experience with NoSQL databases (MongoDB, Cosmos DB, or Redis) for caching and unstructured data. Expertise in Microsoft Azure : Azure Kubernetes Service (AKS), Azure Functions, Azure DevOps (CI/CD), and Azure Monitor. Experience with Docker and Kubernetes for containerized deployments. CRM & ERP Functional Knowledge (Sales, Finance, Inventory, Procurement, HR, etc.). Understanding of B2B SaaS business models and multi-tenancy architecture . Experience with AI-driven process automation for customer service and operations. Awareness of Indian market regulations (GST, E-invoicing, TDS, etc.). Ability to define and communicate architectural vision to engineering teams. Strong experience in mentoring developers and conducting code reviews . Stakeholder management to align business requirements with technology solutions . Experience in collaborating with Product Managers, UX/UI Designers, and DevOps teams . Ability to work in Agile/Scrum and SAFe (Scaled Agile Framework) environments. Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure AI Engineer

About the role: This open position is part of CEDA Advanced Analytics Team under Enterprise Customer Excellence Data and Analytics. As Lead Data Science Consultant, you will be responsible to lead projects with opportunities to improve the customer experience using advanced analytics and data solution engineering. The data science team supports automated control and process optimization/streamlining by developing Advanced Analytical Solutions targeting to minimize compliance and operational risk across multiple lines of business across the bank.More specifically, you will support data exploration, population design, automate data driven review using Advanced automation techniques in SAS/Python/text mining/AI ML techniques. The selected candidate is expected to design analytical solution and generate meaningful business insight and communicate highly complex concepts to business stakeholders in layman term. Responsibilities Work as technical lead in developing high quality analytical solution and provide effective business insights Lead the business problem discovery, research, design and develop end-to-end advanced analytical solution using data solution engineering, ETL design, applying text mining and NLP Streamline ETL/data flow structure feeding to different analytical solutions through automation Clearly understand and articulate business requirements by leveraging domain understanding of line of business & product/ function and deliver the results underlining the business problem and appropriate business decision levers Identify & leverage appropriate analytical approach from a wide toolkit to make data driven recommendation Required Qualifications: Min. 7 years of hands work experience in advanced analytics/ data science and min. 2 years mandatory experience in Risk and Control/Compliance in a Banking domain Having prior experience in Quality Assurance and Monitoring is a plus Engineering Graduate/ Post-graduate in Maths/Stats/Economics/Computer Science Strong expertise in Python and SAS/SQL and text mining/AI ML techniques/NLP. Strong expertise in NLP and text summarization is a plus. Must have exposure to unstructured data such as contact center technology data (IVR, Telephony, Text, Chat etc) along with Transactional data Exposure to SAS Viya and Data Lakes/Azure/Big data platforms would be a plus Sound knowledge in project documentation framework Must have consultative skills to have the ability to rationalize business need and solution design from business requirements Strong written and verbal communication, presentation and inter-personal skills. Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendation to business leaders & partners. Ability to interact with integrity and a high level of professionalism with all levels of team members and management

Job Role: Lead - Data Science Computer Vision | App Development . Location: Bengaluru, Karnataka. Notice Period: Immediate to 20 days. Mode: Work from Office. Job Description This is an exciting opportunity to be a part of the team that develops foundational capabilities enabling enhanced analytics and measurement, critical to shaping global digital adoption and experience strategies. The incumbent will be part of the Digital Analytics & Insights team and will report to the Manager in charge of Digital Analytics. He/she will be an individual contributor working on Digital analytics space as primary responsibility. Job Responsibilities Understanding the end users requirement and translating the requirement into a business requirement document. Preparation of Digital roadmap, Digital Strategy and Proposals / Planning Documents Exploratory data analysis, Data Understanding, Data cleaning, Data analysis Development of Machine Learning models for the business problems in requirement document Maintaining codes and documentation of the models and analysis. Interacting with client for data, plan of analysis, sharing result, Models & Insights Requirements/Skill sets Must-have technical skills Must be proficient in using python 3.x platform, MS Excel and Database. Pro-efficient in Computer Vision/Image Processing domain Have worked on IOT data / IOT technology related business cases Thorough knowledge of statistics, probability, and foundational mathematics of data Science Must have pro-efficient in machine learning and Deep Learning algorithm using Keras, Pytorch etc Knowledge of NLP and its libraries like NLTK, Gensim, Spacy, LDA Must-have soft skills Excellent written and oral communication skills Good interpersonal, problem solving, reasoning and analytical skills Ability to interact with clients with ease Good-to-have skillss Working knowledge Web Analytics, Consumer Analytics Big Data, Web and App Technologies Knowledge of Social platforms (Facebook, Twitter, LinkedIn, Google, WhatsApp etc.) and their APIs. Education and Experience Bachelors/masters in computer science/engineering or MBA with Bachelor in technical. Work Experience of 10+years in Data Science and 6+ years in Computer Vision , Image Analytics People Management Experience Must including performance management Project Management Experience Must including Talent Productivity Management