2627 Data Science Jobs - Page 4

Job Title : AI Engineer - Azure AI. Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Deputy Director, Learning and Development, is a key role responsible for supporting the strategic direction and execution of the organizations learning and development initiatives, with a significant focus on the development of our technology talent which includes - Enggerining / UX / Product/ Data science and other sub teams . This individual will be expected to lead 2-3 BUs along with Tech teams and should be agile to support organisations with changing requirements. Responsibilities: Strategic Support : Assist in developing and implementing the overall learning and development strategy, with a strong emphasis on initiatives that support the growth and upskilling of Myntra Talent Technical Needs Assessment & Analysis: Partner closely with engineering leaders, architects, and other technical experts + Other BUs which may be part of the portfolio identify current and future learning and development needs specific to various roles and skill sets. Conduct in-depth skills gap analyses to inform the design of targeted learning solutions. Technical Program Design & Development: Lead the design, development, and curation of engaging and technically accurate learning programs, including onboarding for technical hires, advanced technical training, software development best practices, cloud technologies, data science skills, and other relevant technical domains. Utilize a variety of learning methodologies tailored for technical audiences, including hands-on labs, simulations, coding challenges, and collaborative learning platforms. Learning Tech : usage and adoption of learning experience platform for all BUs Learning Technology & Innovation: Stay abreast of the latest trends and technologies in technical learning and development. Evaluate and recommend innovative learning modalities Measurement & Evaluation: Develop and implement metrics to track the effectiveness and impact learning and development programs on individual and team performance . Analyze data related to, project outcomes, and knowledge retention to continuously improve learning outcomes and demonstrate ROI for training investments. Technical Stakeholder Management: Build and maintain strong relationships with key technical stakeholders, including VPs of Engineering, Engineering Sr.Directors/ Directors , Tech Leads, and individual contributors, to ensure alignment and buy-in for technical learning initiatives. Act as a trusted advisor on technical learning strategies. Content and facilitation : Create content and also should be able facilitate session functional or Behaviour . " Who are we? Myntra is India s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

Fonada is looking for Full Stack Developer to join our dynamic team and embark on a rewarding career journey. Developing front end website architecture. Designing user interactions on web pages. Developing back-end website applications. Ensuring responsiveness of applications. Working alongside graphic designers for web design features. Seeing through a project from conception to finished product. Designing and developing APIs. Meeting both technical and consumer needs.

Description & Requirements Role Overview Join our team as a Senior Specialist focused on analyzing Salesforce data, delivering actionable insights, and creating reports and dashboards that drive strategic business decisions. This role supports sales and operations through expert data management and cross-functional collaboration. A Day in the Life Typically Includes: Analyse Salesforce data to identify trends and inform business strategies Maintain data accuracy and integrity within Salesforce Collaborate with teams to gather and refine data requirements Develop, update, and distribute dashboards and reports Implement best practices for data management and reporting Monitor industry trends to enhance data analytics capabilities Present insights to stakeholders in clear, actionable formats Basic Qualifications: Bachelor s degree in Data Science, Computer Science, Information Systems, or related field Proven experience with Salesforce data reporting and analysis Proficiency with Salesforce and related sales tools such as Sales Navigator and ZoomInfo Strong analytical, problem-solving, and detail-oriented skills Advanced Excel skills and data visualization proficiency Effective communication skills for technical and non-technical audiences Ability to work both independently and in collaborative, fast-paced environments Preferred Qualifications: Advanced Salesforce knowledge and best practices Experience with ETL processes and data integration Familiarity with SAQL or similar query languages Experience with BI tools like Domo, Power BI, or CRM Analytics Understanding of sales processes and workflows

Are you customer obsessed, relentlessly focused on achieving high standards, street-smart and analytical, execution focused, hungry and passionate about e-commerce, an experienced sales executive with a strong work ethic? If yes, this opportunity will appeal to you. Amazon Seller Services is an important division of Amazon Inc., a multi-national company headquartered in Seattle, USA. The division aims to help sellers grow their business by offering services which leverage high quality Amazon capabilities. Amazon Seller Services is now looking to work with Indian retailers and offer them services which will scale their business. See www.amazonservices.com for services offered in US & www.services.amazon.in for product details in India. As a Business Development Associate with Amazon Seller Services India, you will have the exciting opportunity to deliver Amazon s offerings in India. You will be the face of Amazon to retailers for the services which Amazon will offer. The role will require engaging retailers at all points of their life cycle. You will have to identify and recruit retailers that deliver competitive pricing and broad product selection on the platform, train sellers on Amazon systems helping them integrate with our product platform and analyze seller performance metrics to help them become successful on our platform. The ideal candidate will have sales experience, ability to work in an environment with minimal supervision, comfortable working across multiple complex functions and capability to influence external parties. The candidate should be comfortable interfacing with technology systems, training other stakeholders on systems and processes and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. The candidate will be comfortable in executing repeatable processes. Role and Responsibilities: Understand products and services offered by Amazon Services and be able to articulate its functions and benefits to external audiences. Help define the seller base and industry verticals we target for various Amazon services using local knowledge. Identify valuable sellers and selection for Amazon services. Acquire retailers with valuable selection and establish long-term partnerships. Own and manage integration of portfolio of sellers and help them become self-reliant through basic training. Track and monitor performance and sales of key partners to manage their performance. Prior Experience and skills: More than 3+ years of experience in sales Bachelors degree required, MBA is preferred Passion for e-commerce is required. Experience in an analytical, results-oriented environment with external customer interaction. Proven ability to manage the business by the numbers . Must be metrics-driven. Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly. Experience working with SME retailers is an advantage. Experience with e-commerce, retail, advertising, or media would be an advantage. Deep understanding of the retail and wholesale landscape in India with prior interactions with sellers and distributors is desirable. Experience selling nascent (embryonic/start-up) products/services into new markets is desired. Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment. Ability to speak the local language is desirable Personal attributes and competencies: Demonstrated intense customer focus. Demonstrated highest level of integrity, intellectual honesty, and strong work ethic. Takes initiative. Doesnt wait to be asked. Plans efficiently. Consistent effort, intense commitment, perseverance and willingness to go above and beyond when needed. Strong team player, acts like an owner, and ultimately focused on delivering results with high standards. Proven ability to successfully thrive in an ambiguous environment and changing market conditions. Disciplined in executing repeatable operational processes. Has sound judgment and ability solve issues on the spot. Makes good decisions when analysis of data is not sufficient to reach a conclusion. Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field 1+ years of sales experience

Job Summary This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description Essential Responsibilities Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Minimum Qualifications Minimum of 8 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Job Description Summary Summary What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will lead a team of global risk professionals focusing on supporting the growth of Small Medium Business (SMB) line of business through key strategic initiatives. Meet our team This role reports to the Director of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the Fraud Control initiatives that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description Your way to Impact You will build a strong fraud prevention framework to ensure the fraud losses stays within budget across all regions for the SMB portfolio. You will work to bring more data sources to strengthen the fraud detection capabilities for the SMB portfolio and collaborate with other business teams to address capability gaps. You will provide thought leadership to cross-functional leaders in multiple Product teams, P&L owner, Finance, and Operations to ensure adequate fraud controls are implemented for all business initiatives. You will develop strategic projects and work with regional policy owners to leverage the recommendations to optimize their respective strategies. Your day-to-day In your day-to-day role you will Lead a team of 2 to become the center of excellence in SMB acquisition. Develop a framework for managing risk across the SMB New onboarding lifecycle. Set up a robust fraud prevention framework with multi-layered controls and monitoring to prevent any fraud spikes. Work collaboratively with multiple cross functional teams to execute on a multi-year roadmap and get buy in agreements from key stakeholders Develop risk professionals and team to become a top performer in both thought leadership and execution Strong communicator and educator to demystify risk management and bring transparency across business Be the voice of risk management and help solve complex problems within defined risk appetite framework. What do you need to bring 8+ years of experience in financial technology, banking, or payments with deep subject matter expertise and execution in developing end to end risk framework. Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth. Have experience managing consumer or Small Medium Business (SMB) acquisition fraud and credit risk in the European markets. Experience in multiple countries is a plus. Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition. Having experience in a Fintech working with Product and Engineering organization is a plus Proven track record in driving positive outcomes between risk management and business leaders Excellent project management skills, well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure A high level of intellectual, professional, and interpersonal agility/flexibility, combined with strong analytical/problem-solving skills Strong ability to inspire/foster an inclusive/diverse culture Demonstrated ability to build/maintain relationships with key stakeholders, including strengths in influencing, conflict management, and negotiation Strong communication skills in explaining complex matters in a simple and clear manner Experience in partnering with senior business stakeholders, particularly in the context of a rapidly evolving environment Subsidiary PayPal Travel Percent 10 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community.

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the Team: HackerRank s Machine Learning team is working on the cutting edge of AI. We re actively researching and building solutions for a number of exciting initiatives, including plagiarism detection within our Integrity Workstream, how LLMs perform across the SDLC via our ASTRA evaluation harness and benchmark, the types of datasets that can further improve LLMs on software engineering tasks, and finally how far we can take software development agents with our rich datasets. About the Role: As the leading software developer assessment platform, maintaining our platform s integrity is critical. HackerRank s ML Team is working to leverage machine learning and AI solutions to build industry-leading plagiarism detection solutions. As an ML Scientist III, based in Bangalore, you ll be working closely with the Integrity Product & Engineering team to deliver robust and scalable ML and AI-powered solutions for complex integrity problems. You ll also be a key part of developing HackerRanks Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions. What youll do: Identify business opportunities best suited for machine learning and set the score, vision, and strategy to execute those opportunities. Set the foundations and define best practices for machine learning efforts at HackerRank. Identify opportunities and drive improvements to existing machine learning efforts. Productionize machine learning models, for example, by balancing model performance with memory and latency requirements. You will thrive in this role if you: You are rigorous about applying strong machine learning fundamentals to problems, meaning that you don t jump to an ML-based solution if one isn t needed. You know how to set up and quickly execute a number of experiments to figure out the right solution. You ve got a good balance of software and ML skills, and aren t afraid to do some hands-on data labelling yourself. You care deeply about customer satisfaction and take ownership of understanding the products you re working on. You thrive in a high-ambiguity environment that requires a lot of collaboration with peers across functions. What you bring: Advanced degree (Masters) in Computer Science, Machine Learning, Data Science, or a related field. Overall, 5+ years of experience as a Machine Learning Scientist or a similar role. Proven experience in machine learning, with a strong emphasis on classical and statistical methods as well as deep neural networks & a strong background in math & statistics for machine learning applications. Experience in full ownership of the machine learning model lifecycles, including data preparation and system deployment. Experience developing medium to large-scale data pipelines. Demonstrated experience in preparing datasets and conducting evaluations of machine learning models. Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) . Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities. Bonus: Experience in benchmarking and performance evaluation of LLMs & designing high-scale data pipelines. Bonus: Published research in relevant fields. Bonus: Familiarity with coding challenges and competitive programming. Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here . HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. Notice to prospective HackerRank job applicants: Our Recruiters use @hackerrank.com email addresses. We never ask for payment or credit check information to apply, interview, or work here.

Position Summary... About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform, which powers multiple conversational assistants for shopping, customer care and employee assistance across Walmart s US and International markets. With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger Emerging Tech org, which is focussed on utilising emerging technologies like Conversational AI, Extended Reality, Spatial awareness, etc to reimagine and build intuitive and immersive experiences for our customers, sellers and associates. We are looking for a Principal data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of machine learning, LLMs, ASR, large-scale distributed systems, and more. Our AI assistants are rapidly incorporating LLMs, agent-based architecture with custom fine-tuned models, and multiple data modalities. About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform , which powers multiple conversational assistants for shopping, customer care and employee assistan ce across Walmart s US and International markets . With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger Emerging Tech org , which is f ocused on utilizing emerging technologies like Conversational AI, Extended Realit y, Spatial awareness, etc. to reimagine and build intuitive and immersive experiences for our customers, sellers and associates. We are looking for a Principal data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of machine learning, LLMs, ASR , large-scale distributed systems, and more. Our AI assistants are rapidly incorporating LLMs , agent-based architecture with custom fine-tuned models , and multiple data modalities. What You Will Do In this role, as a principal data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform. The responsibilities include: Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI s olution s . Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives . Drive the execution of the deliverables. Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. Lead multiple initiatives within the platform, with focus on efficiency , innovation, and leverage. Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. Be up-to date on industry trends in the latest G enerative AI , Speech processing and AI assistant architect ur e patterns ( e . g . agent chaining, COT, RAG, LLM guardrails etc) Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. Lead innovation and efficiency through the complete problem - solving cycle , from approach to methods to development and results. Partner and engage with associates in other regions for delivering the best services to customers around the globe . Proactively participate in the external community to strengthen Walmarts brand and gain insights into industry practices. Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. What You Will Bring Masters with 12 + years or Ph.D. with 10 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. Strong track record in a data science tech lead role (5+ years), with deployment of large-scale AI services. Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems. Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI. Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance . Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. Experience working with geographically distributed teams. Business acumen; combining technical vision with business insights. R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala) . Strong Experience in Python. About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field. Option 3: 7 years experience in an analytics or related field. Preferred Qualifications... Primary Location...

Python Senior Developer1 5+ years of experience as a Python Developer with a strong portfolio of projects. responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Coordinating with development teams to find out the needs of the application. Using the Python programming language to create scalable code. Evaluating and ranking customer feature requests. Application testing and bug fixing. Creating the back-end elements. Integrating storage methods for data. Design and implementation of high-performance, low-latency applications. Understanding of Pythons threading restrictions and multi-process architecture. Expertise in how to combine several data sources into one system. To learn and grow, to stay interested, and to concentrate on identifying the issues on time. Understanding of circles, conditional & control statements, databases, and basic Python. To learn and grow, to stay interested, and to concentrate on identifying the issues on time. Excellent communication and collaboration with relevant teams and departments. Capacity to think creatively and present innovative ideas and solutions that address contemporary trends Required skills and qualifications 5+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools . Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications prior experience as a Python Developer and experience with popular Python frameworks such as Django, Flask or Pyramid Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community.

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Join us as a Data & Analytics Analyst This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team You ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose You ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work Were offering this role as associate vice presidentr level What youll do As a Data & Analytics Analyst, you ll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You ll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible. As well as this, you ll be: Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The skills youll need We re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with advanced analytics knowledge, you ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling . You ll also demonstrate: Strong knowledge of data management practices and principles Experience of translating data and insights for key stakeholders Good knowledge of data engineering, data science and decisioning disciplines Strong communication skills with the ability to engage with a wide range of stakeholders Coaching and leadership experience with an ability to support and motivate colleagues Hours 45 Job Posting Closing Date: 06/07/2025

Akridata (https://akridata.ai) is a US-based, Series A-funded startup revolutionizing the quality inspection of manufacturing and infrastructure using cutting-edge Visual AI technologies. The team in India owns all product development and ML activities, providing exciting opportunities to be at the forefront of high-impact work. Responsibilities Ideate and experiment with approaches to address customers AI solution requirements using the platform and algorithmic capabilities. Work closely with customer specific AI solutioning requirements and connect it with the algorithmic capabilities available in the product charting out a plan of action. Participate in discussions with product and backend development teams to harden product requirements and interface decisions. What we are looking for 3+ years of computer vision experience with a proven track record of building production-grade deployments using traditional CV and deep learning techniques. 1+ years of experience with deep learning techniques for image/video data with sound understanding of the concepts, toolsets, and state-of-the-art practices. Strong Programming experience with Python for ML, with knowledge of software development practices towards contributing to a production-quality code base. Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks. Bachelors in Computer Science, Data Science, Statistics, or Mathematics Good to have Masters degree or Phd in Computer Science, Data Science, Statistics, or Mathematics. Experience publishing academic papers and/or implementing prototypes based on ongoing research ideas. Experience with performance improvement of ML models.

Indus Towers Limited is looking for IT - Data Analyst - Team Member to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Flipkart is looking for Data Scientist - Operations Research to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Job TitleGraduate Engineer Trainee Company NameTitan Job TypeRP Job CategoryCentral Technology Services DepartmentCentral Technology Services LocationHosur, Tamil Nadu, India : Titan, a leading company in the Central Technology Services industry, is seeking a highly motivated and talented Graduate Engineer Trainee to join our team in Hosur, Tamil Nadu, India. As a Graduate Engineer Trainee, you will have the opportunity to work with cutting-edge technology and gain valuable experience in the field of Central Technology Services. Key Responsibilities: - Participate in training programs to learn about the company's products, services, and processes - Work closely with senior engineers to assist in the design, development, and implementation of new technology solutions - Conduct research and analysis to identify areas for improvement and make recommendations for process enhancements - Collaborate with cross-functional teams to support project initiatives and ensure timely delivery of projects - Assist in troubleshooting and resolving technical issues as needed - Stay updated on industry trends and advancements in technology to contribute innovative ideas to the team Qualifications: - Bachelor's degree in Engineering or a related field - Strong academic record with a minimum GPA of 3.0 - Excellent problem-solving and analytical skills - Proficiency in programming languages such as Java, C++, or Python - Familiarity with database management and SQL - Ability to work independently and in a team environment - Excellent communication and interpersonal skills - Willingness to learn and adapt to new technologies and processes Additional Parameters: - Previous internship or work experience in the Central Technology Services industry is a plus - Knowledge of Agile methodology is preferred - Willingness to relocate for future career opportunities within the company At Titan, we value diversity and equal opportunity in the workplace. We are committed to creating an inclusive environment for all employees and welcome applicants of all backgrounds to apply. Join our team and be a part of our mission to revolutionize the Central Technology Services industry. Work Experience Good knowledge in Linear Algebra, Vectors, Calculus, Statistics, Fourier Analysis Good knowledge in Signal processing Techniques like Wavelets, Shearlets, Curvelets, Bandlets etc., Good knowledge in Applied Mathematics like Gradient Descent, Convex Optimization, Lagrange, Quadratic Programming, Partial Differential Equations, and Summations Good Knowledge in machine learning algorithms, neural networks, natural language processing, and related AI technologies. Proficiency in programming languages such as C++, Python, R, Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge in data preprocessing, feature engineering, and model development and evaluation. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive actionable insights. Good Communication & Inter Personnel Skills Major Deliverables / Tasks : 1. Discovering New Possibilities - The role should deliver the below towards new Possibilities : - New AI/ML techniques, Tools / Models / algorithms for Industry 4.0 and Smart wearables - Use-cases based on emerging trends - Data Models with Reports for efficient Algorithms - Prototype Testing and Validation 2. Algorithm/ Code Development - The role should perform the below towards meeting the above objectives: - Conduct analysis to identify patterns, trends, and insights from large and complex datasets. - Collaborate with data engineers and data scientists to ensure data quality, integrity, and accessibility for AI and ML initiatives. - Monitor and evaluate AI and ML performance metrics, providing recommendations for improvements and optimization. - Develop Standard Plug-ins and Models for easy integration 3 . Reports and Documentation The role is expected to meticulously Compile all the support Details and Documents hailing from the core activities mentioned above and deliver the Blueprint of the Development Process

Build internal AI-powered tools that solve bottlenecks across functions like Design, Marketing, Branding, Data Science, Copywriting, and Product. Automate repetitive workflows using AI agents, low-code/no-code platforms, API integrations across internal systems and SaaS platforms. Translate non-technical business needs into functional internal products using AI/automation as core enablers. Create scalable, modular internal tools that drive efficiency, innovation, and ownership across teams. Mentor interns and junior team members to cultivate an internal culture of technical problem solving. Build and deploy AI agents, automation bots, dashboards, and internal tools that solve real problems for business teams. Integrate APIs across CRM, marketing platforms, analytics, and internal systems. Rapidly prototype solutions with low-code tools, progressing to scalable custom builds as needed. Establish technical standards, documentation, and reusable components for internal automation/AI. Mentor interns and junior product members in AI, automation, and technical problem solving. Continuously explore and apply new AI/LLM technologies, APIs, automation methods for internal use cases. 3+ years experience in AI-powered applications, automation, or internal tools development. Strong in Python, API integrations, OpenAI API, Langchain, or similar AI platforms. Hands-on experience with low-code/no-code tools (Zapier, Make, Retool, Airtable). Familiarity with building internal SaaS-like platforms or automating multi-team workflows. Enjoys building usable products from ambiguous requirements. Can collaborate closely with non-technical business stakeholders. Built GPT-based chatbots, AI content tools, or automation bots for internal use. Integrated 3+ SaaS platforms via APIs for workflow automation. Mentored junior engineers or interns in product/technical roles. Worked in an internal innovation lab, accelerator, or skunkworks environment. Core Skills: Strong Python programming (API work, automation scripts, data pipelines). Familiarity with OpenAI API, Langchain, Llama Index, embeddings workflows. Knows Zapier, Make, Retool, or similar tools to quickly prototype internal apps. Understands backend + basic frontend (can wire UI or dashboards if needed). Knows how to connect disparate tools (CRM, Google Sheets, marketing APIs, etc.). Builds scalable architecture after prototyping. Projects You Should Have Done Built an AI-powered internal tool (e.g., GPT-based content editor, reporting bot). Created automation to eliminate manual reporting/spreadsheet updates. Integrated 3+ SaaS platforms to talk to each other via APIs. Launched a workflow tool for internal business users. Led (or solo-built) an AI-based MVP from scratch.

0px> Who are we? In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO.In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like? Research and develop innovative AI-powered capabilities.Rapidly prototype and iterate based on data insights and user feedback.Design and build data-driven solutions with a strong emphasis on practical impact and performance.Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models.Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is... At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Data Science, Machine Learning Preferred skill sets Data Science, Machine Learning Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Data Science, Machine Learning Preferred skill sets Data Science, Machine Learning Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

Diverse Lynx is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. We are seeking an AI Prompt Engineer Intern with expertise in advanced prompt engineering techniques to optimize interactions with large language models for healthcare applications. This role will focus on designing, refining, and testing highly effective prompts that enhance the accuracy, relevance, and safety of AI-generated responses while ensuring compliance with healthcare regulations. Responsibilities: Prompt Engineering & Optimization Design and develop advanced prompt engineering techniques to improve LLM-generated responses for healthcare applications. Fine-tune contextual prompts for improved accuracy, coherence, and latency Conduct rigorous A/B testing and evaluation of prompt strategies to optimize performance. LLM Training and Customization Work closely with ML and NLP engineers to fine-tune and train SLM and LLMs for domain-specific tasks. Collaborate on data curation, augmentation, and preprocessing to improve model outputs. Generative AI & Conversational AI Development Create prompts optimized for healthcare-related interactions, summarization, and decision support. Performance Monitoring & Model Improvement Develop advanced metrics and evaluation frameworks to assess prompt effectiveness. Implement continuous learning mechanisms to refine AI responses based on user feedback. Collaboration & Research Stay ahead of emerging trends in generative AI, LLM advancements, and NLP techniques via research papers Collaborate with healthcare professionals, data engineers, and software engineers to integrate AI solutions into real-world workflows. Skills and Experience: Advanced Prompt Engineering: Strong demonstrated experience in crafting effective, structured prompts for AI models. Generative AI & LLMs: Hands-on experience working with GPT models, LLaMA, or other state-of-the-art open and closed sourced architectures. NLP Expertise: Experience in natural language processing techniques such as semantic search, intent recognition, and contextual AI. Programming: Strong proficiency in Python, with experience using LangChain,,Transformers A/B Testing & Model Evaluation: Expertise in designing experiments to assess prompt effectiveness and model accuracy. Healthcare Industry Knowledge (Preferred): Familiarity with healthcare workflows, clinical documentation, and medical terminology. Qualifications: Bachelor s or Master s degree in Computer Science, AI, NLP, Data Science, or a related field. 2-4 years of experience in prompt engineering, NLP, or generative AI. Experience working with LLM-based applications in regulated industries (healthcare preferred). Strong portfolio of AI-driven projects, showcasing prompt engineering and model interaction improvements. Relevant certifications (e.g., Prompt Engineering, AWS/GCP AI Certifications) are a plus. Candidates located in Bangalore will be given preference Candidates from top universities is a plus

Join our Team About this opportunity: We are looking for a skilled and motivated AI/ML & GenAI Engineer to join our team and drive innovation through cutting-edge artificial intelligence and machine learning solutions. In this role, you will be responsible for designing, developing, and deploying scalable AI models including large language models (LLMs) to solve real-world business challenges. Youll work across the full machine learning lifecycle, from data preparation to production deployment, leveraging modern MLOps practices and cloud technologies such as AWS and Azure. This role offers a unique opportunity to contribute to impactful projects in a collaborative, fast-paced, and technology-driven environment. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS). Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution. The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Education Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Experience Experience: 2-5 years of hands-on experience Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Bangalore Req ID: 768928

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication