1477 Vertex Jobs

Join Vertex Securities, a leading Stock Broking Company, as a Marketing Officer and play a vital role in shaping our brand and outreach strategies. Ideal candidates should be passionate in driving impactful marketing campaigns. Job Responsibilities: Creating and delivering messages to communicate with customers, prospects and other target audiences. To create content for e-mail marketing, social media, banners, posters and brochures. Write and update website content regularly. Overall understanding and interest in branding, media, advertising and PR. Support marketing team with tools, creatives and materials. Manage and schedule social media post and campaigns. Run digital marketing campaigns across platforms. Perform SEO optimisation for website and blog content. Qualifications: Graduation, Specialisation in Marketing/PR will be an added advantage. Experience: 1-2 years Job Types: Full-time, Permanent Benefits: Provident Fund Schedule: Day shift Work Location: In person

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Join Team Amex and let’s lead the way together. Business Overview: Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry the lowest credit loss rates. It applies an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and bring innovation. A single decision can have many outcomes. And when that decision affects millions of cardmembers and merchants, it needs to be the right one. That’s where AiDa Product team comes in who is part of the Credit & Fraud Risk (CFR) Global Data Science (GDS) CoE. The product specializes in powering a seamless unified experience for its AI / ML users and responsibly leverage enterprise data assets to support critical decisions for the company. As a part of this team, you’ll have the opportunity to work in one of the best talent of product owners and managers in the industry. You will solve real world business problems while getting exposure to the industry’s top leaders in AI / ML product management, decision science and technology. If you are passionate in getting to know all areas of our business and can translate business needs into remarkable solutions that can impact millions, you should consider a career in Product teams. Job Responsibilities Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes. Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives. Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions. Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development. Translate product roadmap into well defined requirements and acceptance test criteria. Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users Create POCs for best in class AI-ML innovative products with the potential to scale Qualifications and Skills Required: Strong quantitative, analytical, and structured problem-solving skills. Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families - Decision Trees, Boosting algorithms, optimizations considerations for ML models, deployment and serving challenges Knowledge of Google Cloud Platform (GCP), Big Query, GCP AI / ML capabilities such as Vertex AI. Knowledge of Big Data Platforms such as Hadoop and PySpark. Knowledge of designing and building big data tools and frameworks Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies. Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow. Familiarity with product management tools such as Rally, JIRA, and Confluence Excellent verbal and written communications skills Undergraduate/Master’s in Computer Science / Information Technology / Mathematics from institutes of global repute. Primary Job Location : Gurugram Hybrid – depending on business requirements We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Company Description AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, delivering scalable solutions for businesses of all sizes. As a renowned software engineering and QA services provider, AppTestify enables faster deployment of superior software. With over 100 Engineers, the company has served more than 120 clients globally. Their expertise includes DevOps, automation testing, API testing, functional testing, mobile testing, Salesforce application testing, and comprehensive digital engineering solutions. Job Title: Machine Learning Engineer Experience: 5 to 8 Years Location: Pune Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Apply directly - https://hrms.apptestify.com/apply/688c7ed095f9ce582a3a224a

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Summary Position Summary Consultant–Tax Technology Consulting – Oracle EBS Do you have a passion to work for US-based clients of Deloitte Tax and transform their current state of tax to the next generation of tax functions? Are you ready to take the next step in your career to find new methods and processes to assist clients in improving their tax operations? Are you ready to fulfill your potential and want to have a significant impact on global initiatives? If the answer to all the above is “Yes,” come join the Tax Technology Consulting group in Deloitte India (Offices of the U.S), a service line of Deloitte Tax LLP! Deloitte Tax Services India Private Limited commenced operations in June 2004. Since then, nearly all of the Deloitte Tax LLP (“Deloitte Tax”) U.S. service lines have obtained support through Deloitte Tax in India. Deloitte Tax in India offers you opportunities to gain experience U.S. taxation, a much sought-after career option. At Deloitte , we are leading clients through the tax transformation taking place in the marketplace. We offer a broad range of fully integrated tax services and add greater impact to clients by combining technology and tax technical resources to uncover insights and smarter solutions for navigating an increasingly complex global environment. Work you will do Increasingly complex tax decisions can have a significant effect—positive or negative—on the future of our clients’ business.Ourapproachcombinesinsightandinnovationfrommultipledisciplineswithbusinessandindustryknowledge to help our clients excelglobally. Key responsibilities will be: - ü Conduct Client workshops ü Gather and document tax requirements for business and performing system fit and gapanalysis ü Advising clients on Tax department strategy/policy including Tax assessment from a people, process, technology, and governance point of view ü Process improvements, redesigning client tax departments and evaluating automation opportunities ü Work on design and development of tax solutions ü Conductuseracceptancetestingtocompilecomprehensivetestscenariosandidentifyflawsaswellasimprovements to newly built systems andprocesses Qualification And Experience Required – ü Full time Masters/Bachelor’s in Engineering/Finance/Accounts or equivalent from reputedUniversity ü MBA or Chartered Accountant with experience in Finance, Accounting, Taxation andAuditing ü 3-6 years of experience Oracle EBS finance modules or Oracle Financials Cloud modules that impact tax. ü Preferred experience with the following Oracle modules: E-BusinessTax/Oracle ERP cloud tax module, (Withholding Taxapplication) Trading CommunityArchitecture Order Management /iStore Accounts Receivables Purchasing /iExpense AccountsPayable, (Withholding Taxapplication) Supplier Master / iSupplier Portal FixedAssets ProjectAccounting GeneralLedger Oracle BI ü Financial consolidation processes and applications (e.g., Hyperionapplications) ü Proficiency in MS Office applications, specifically Excel, Word, PowerPoint, andAccess ü Effective communication with strong relationship managementskills ü Team player, adhering to the timelines for finishingdeliverables ü Strong project management and leadershipabilities ü Relentlessfocusonqualityofworkproductswhileadheringtocompletingdeliverablesontime Preferred: ü Knowledgeofbusinessandtaxprocesses,creatingfunctionalspecifications,identifying,and developing requirements for new reports, preparing test scripts, and providing user training andsupport ü Indirect Tax (VAT, Sales/Use) and/or Direct tax (income, provision), withholding taxexperience ü Knowledge of country specific localization capabilities of Oracle EBS and Oracle fusion applications ü Experience with third party tax software like Vertex, ONESOURCE, SOVOS (Taxware), Avalara etc. ü Basic or advanced knowledge of PL/SQL The Team Tax Technology Consulting (TTC) - Ever expanding regulations and increasing scrutiny on multinational corporations has made it necessary for leading-edge tax departments to serve a critical role in the risk management and overall performance of the enterprise. This has resulted in an opportunity for Deloitte to provide even greater value through our tax services, in helping develop tax departments of the future that are strategic, agile, and focused on creating value for the business. Deloitte's TMC group helps our clients’ tax department move forward from their current state to the next generation of taxfunctionsandisdedicatedtofindingnewmethodsandprocessestoassistclientsinimprovingtheirtaxoperations. Deloitte Tax LLP professionals are aligned worldwide to serve our clients’ needs through the TMC group. Deloitte TMC teams include industry, tax, organizational change, technology, and co-sourcing specialists who can help make the necessary connections between our clients’ global strategies and the many options for carrying them out in the tax function. How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team- based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte supports your progression through a well-defined career path by providing challenging assignments, mentoring, and targeted trainings. Recent postgraduates begin as a consultant. The career path from there is to senior consultant, then manager, senior manager and onto a path to director, partner, or principal. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306439

Summary Position Summary Consultant–Tax Technology Consulting – Oracle EBS Do you have a passion to work for US-based clients of Deloitte Tax and transform their current state of tax to the next generation of tax functions? Are you ready to take the next step in your career to find new methods and processes to assist clients in improving their tax operations? Are you ready to fulfill your potential and want to have a significant impact on global initiatives? If the answer to all the above is “Yes,” come join the Tax Technology Consulting group in Deloitte India (Offices of the U.S), a service line of Deloitte Tax LLP! Deloitte Tax Services India Private Limited commenced operations in June 2004. Since then, nearly all of the Deloitte Tax LLP (“Deloitte Tax”) U.S. service lines have obtained support through Deloitte Tax in India. Deloitte Tax in India offers you opportunities to gain experience U.S. taxation, a much sought-after career option. At Deloitte , we are leading clients through the tax transformation taking place in the marketplace. We offer a broad range of fully integrated tax services and add greater impact to clients by combining technology and tax technical resources to uncover insights and smarter solutions for navigating an increasingly complex global environment. Work you will do Increasingly complex tax decisions can have a significant effect—positive or negative—on the future of our clients’ business.Ourapproachcombinesinsightandinnovationfrommultipledisciplineswithbusinessandindustryknowledge to help our clients excelglobally. Key responsibilities will be: - ü Conduct Client workshops ü Gather and document tax requirements for business and performing system fit and gapanalysis ü Advising clients on Tax department strategy/policy including Tax assessment from a people, process, technology, and governance point of view ü Process improvements, redesigning client tax departments and evaluating automation opportunities ü Work on design and development of tax solutions ü Conductuseracceptancetestingtocompilecomprehensivetestscenariosandidentifyflawsaswellasimprovements to newly built systems andprocesses Qualification And Experience Required – ü Full time Masters/Bachelor’s in Engineering/Finance/Accounts or equivalent from reputedUniversity ü MBA or Chartered Accountant with experience in Finance, Accounting, Taxation andAuditing ü 3-6 years of experience Oracle EBS finance modules or Oracle Financials Cloud modules that impact tax. ü Preferred experience with the following Oracle modules: E-BusinessTax/Oracle ERP cloud tax module, (Withholding Taxapplication) Trading CommunityArchitecture Order Management /iStore Accounts Receivables Purchasing /iExpense AccountsPayable, (Withholding Taxapplication) Supplier Master / iSupplier Portal FixedAssets ProjectAccounting GeneralLedger Oracle BI ü Financial consolidation processes and applications (e.g., Hyperionapplications) ü Proficiency in MS Office applications, specifically Excel, Word, PowerPoint, andAccess ü Effective communication with strong relationship managementskills ü Team player, adhering to the timelines for finishingdeliverables ü Strong project management and leadershipabilities ü Relentlessfocusonqualityofworkproductswhileadheringtocompletingdeliverablesontime Preferred: ü Knowledgeofbusinessandtaxprocesses,creatingfunctionalspecifications,identifying,and developing requirements for new reports, preparing test scripts, and providing user training andsupport ü Indirect Tax (VAT, Sales/Use) and/or Direct tax (income, provision), withholding taxexperience ü Knowledge of country specific localization capabilities of Oracle EBS and Oracle fusion applications ü Experience with third party tax software like Vertex, ONESOURCE, SOVOS (Taxware), Avalara etc. ü Basic or advanced knowledge of PL/SQL The Team Tax Technology Consulting (TTC) - Ever expanding regulations and increasing scrutiny on multinational corporations has made it necessary for leading-edge tax departments to serve a critical role in the risk management and overall performance of the enterprise. This has resulted in an opportunity for Deloitte to provide even greater value through our tax services, in helping develop tax departments of the future that are strategic, agile, and focused on creating value for the business. Deloitte's TMC group helps our clients’ tax department move forward from their current state to the next generation of taxfunctionsandisdedicatedtofindingnewmethodsandprocessestoassistclientsinimprovingtheirtaxoperations. Deloitte Tax LLP professionals are aligned worldwide to serve our clients’ needs through the TMC group. Deloitte TMC teams include industry, tax, organizational change, technology, and co-sourcing specialists who can help make the necessary connections between our clients’ global strategies and the many options for carrying them out in the tax function. How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team- based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte supports your progression through a well-defined career path by providing challenging assignments, mentoring, and targeted trainings. Recent postgraduates begin as a consultant. The career path from there is to senior consultant, then manager, senior manager and onto a path to director, partner, or principal. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306439

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Join Team Amex and let’s lead the way together. Business Overview: Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry the lowest credit loss rates. It applies an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and bring innovation. A single decision can have many outcomes. And when that decision affects millions of cardmembers and merchants, it needs to be the right one. That’s where AiDa Product team comes in who is part of the Credit & Fraud Risk (CFR) Global Data Science (GDS) CoE. The product specializes in powering a seamless unified experience for its AI / ML users and responsibly leverage enterprise data assets to support critical decisions for the company. As a part of this team, you’ll have the opportunity to work in one of the best talent of product owners and managers in the industry. You will solve real world business problems while getting exposure to the industry’s top leaders in AI / ML product management, decision science and technology. If you are passionate in getting to know all areas of our business and can translate business needs into remarkable solutions that can impact millions, you should consider a career in Product teams. Job Responsibilities · Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes. · Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives. · Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions. · Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development. · Translate product roadmap into well defined requirements and acceptance test criteria. · Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams · Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption · (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users · Create POCs for best in class AI-ML innovative products with the potential to scale Qualifications and Skills Required: · Strong quantitative, analytical, and structured problem-solving skills. · Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization · Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families - Decision Trees, Boosting algorithms, optimizations considerations for ML models, deployment and serving challenges · Knowledge of Google Cloud Platform (GCP), Big Query, GCP AI / ML capabilities such as Vertex AI. · Knowledge of Big Data Platforms such as Hadoop and PySpark. · Knowledge of designing and building big data tools and frameworks · Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams · Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies. · Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams · Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow. · Familiarity with product management tools such as Rally, JIRA, and Confluence · Excellent verbal and written communications skills · Undergraduate/Master’s in Computer Science / Information Technology / Mathematics from institutes of global repute. Primary Job Location : Gurugram Hybrid – depending on business requirements We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Title: Machine Learning Engineer Experience - 5-8 yrs Work Mode - Onsite (Pune/Indore) Employment type - Contract Duration - 6 Months ( Can be extended based on performance) Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.

We’re looking for a hands-on, product-minded full-stack developer with a strong interest in AI and automation . This role is ideal for someone who loves to build, experiment, and bring ideas to life — fast. You'll work closely with the founding team to prototype AI-powered tools and products from scratch.This is a highly AI-focused role where you will build tools powered by LLMs, workflow automation, and real-time data intelligence — not just build web apps, but create AI-first products . Location - Kochi, Bangalore | Years of experience - 1-3 Years Hire22. ai connects top talent with executive role s anonymously and confidential ly, transforming hiring through a n AI-first, instant CoNCT mod el. Companies ge t interview-ready candidates in just 22 hours . No telecalling, no spam, no manual filtering. Responsibilities Build and experiment with AI-first features powered by LLMs, embeddings, vector databases, and prompt-based workflows Fine-tune or adapt AI/ML models for specific use cases such as job matching, summarization, scoring, and classification Integrate and orchestrate AI capabilities using tools like Vertex AI, LangChain, Cursor, n8n, Flowise, etc. Work with vector databases and implement retrieval-augmented generation (RAG) patterns to build intelligent, context-aware AI applications. Design, build, and maintain full-stack web applications using Next.js and Python as supporting layers around core AI functionality Rapidly prototype ideas, test hypotheses, and iterate fast based on feedback Collaborate with product, design, and founders to transform internal ideas into deployable, AI-powered tools Building internal AI agents, assistants, or copilots Building tools for automated decision-making, resume/job matching, or workflow automation Skills Full-Stack Proficiency: Strong command of JavaScript/TypeScript with experience in modern frameworks like React or Next.js. Back-end experience with Python (FastAPI), orGo. Database Fluent: Comfortable working with both SQL (MySQL) and NoSQL databases (MongoDB, Redis), with good data modeling instincts. AI/ML First Mindset: Hands-on with integrating and optimizing AI models using frameworks like OpenAI, Hugging Face, LangChain, or TensorFlow. You understand LLM architecture, prompt engineering, embeddings, and AI orchestration tools. You’ve ideally built or experimented with AI-driven applications beyond just using APIs.. Builder Mentality: Passionate about product thinking and going from zero to one. You take ownership, work independently, and execute quickly without waiting for perfect clarity. Problem Solver: You break down complex problems, learn fast, and deliver clean, efficient solutions. You value both speed and quality. Communicator & Collaborator: You express your ideas clearly, ask good questions, and keep teams in sync by sharing progress and blockers openly.

Role Description This is a full-time role for an AI Engineer specializing in Vertex AI and GCP at Tek Artisans LLC. The AI Engineer will be responsible for designing, developing, and implementing machine learning models, including pattern recognition and neural networks. The role involves natural language processing (NLP) and software development to create effective AI solutions. This is an on-site role located in Hyderabad. 🚀 We're Hiring: AI Engineer – Vertex AI / GCP 📍 Location: India (Remote – Must work in US timings) 🔐 Client: Confidential (Security-Focused Team) We’re looking for an AI Engineer with strong experience in Vertex AI and GCP to help our cloud security team improve IAM and access control using AI-driven automation. 🔧 Key Responsibilities: Use Vertex AI to detect and fix misconfigured IAM roles in GCP Automate access governance and least-privilege enforcement Deploy ML pipelines using Vertex AI Pipelines , BigQuery , Cloud Functions Collaborate with cloud security and engineering teams Manage ML model lifecycle and performance monitoring ✅ Requirements: 5+ years in AI/ML engineering or cloud automation 2+ years hands-on with Vertex AI + GCP Strong knowledge of GCP IAM Proficient in Python , TensorFlow, PyTorch, or scikit-learn Experience with MLOps practices and secure ML deployment 📩 Interested? Send your resume to: mark@tekdallas.com Let’s build secure, intelligent cloud solutions together!

Job Description - AI Senior Developer Shift timings – 1:30p.m to 10:30 p.m Work mode – Hybrid Location – Chennai Exp - 6+years Responsibilities As an AI and Machine Learning Consultant, you will: Implement AI solutions for accelerators, IP solutions or recommendation engines using Vertex AI or Google Cloud AI Platform. Conduct security assessments of AI-powered solutions based on policies and guidance Collaborate with stakeholders to integrate AI into existing workflows. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud-based AI platforms. Familiar with building solutions using Large Language Models (LLMs) particularly using Vertex AI Knowledge of AI ethics and responsible AI practices to ensure fair and unbiased model outcomes. Experience with cloud-native analytics platforms like Google BigQuery. Strong programming skills in Python for AI, data processing tasks and UI. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Effective communication skills, written and oral. Advanced understanding of data engineering principles, including data pipeline creation Proficiency in using version control systems like Git for collaborative code development. Familiarity with Agile methodologies and experience working in Agile teams. Ability to perform exploratory data analysis to uncover insights and inform model development. Experience with integrating and working alongside DevOps teams to ensure smooth workflow transitions.

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 6 years Location: Telangana, Chennai JobType: full-time We are seeking a skilled and motivated Machine Learning Developer to design and implement AI/ML models, contribute to proof-of-concept projects, and collaborate with cross-functional teams to deliver impactful solutions. This role requires a strong foundation in machine learning, Python programming, and cloud technologies, particularly Google Cloud Platform (GCP). Requirements Key Responsibilities: Design, develop, and deploy machine learning and AI models and algorithms tailored to business needs Build and deliver Proof of Concept (POC) applications to showcase the feasibility and value of AI solutions Write clean, maintainable, and well-documented Python code Collaborate with data engineers to ensure high-quality data pipelines for training and evaluation Partner with senior developers to understand project goals and contribute to architectural and technical decisions Debug and optimize machine learning models and related applications Stay current with emerging trends and technologies in AI/ML Use machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development Develop and deploy ML models on Google Cloud Platform (GCP) Apply effective data preprocessing and feature engineering techniques using libraries such as Pandas and NumPy Utilize Vertex AI for end-to-end model training, deployment, and monitoring Integrate Google Gemini for advanced AI features when applicable Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, or a related discipline Minimum of 3 years of experience in designing and implementing AI/ML solutions Proficiency in Python with strong coding practices Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of machine learning algorithms and concepts Ability to work both independently and collaboratively within a team Strong analytical and problem-solving skills Effective verbal and written communication skills Experience with Google Cloud Platform (GCP) is preferred Familiarity with Vertex AI and Google Gemini is an added advantage Key Skills: Machine Learning, Artificial Intelligence, Python, TensorFlow, PyTorch, Scikit-learn, GCP, Vertex AI, Pandas, NumPy, Google Gemini

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 6 years Location: Telangana, Chennai JobType: full-time We are seeking a skilled and motivated Machine Learning Developer to design and implement AI/ML models, contribute to proof-of-concept projects, and collaborate with cross-functional teams to deliver impactful solutions. This role requires a strong foundation in machine learning, Python programming, and cloud technologies, particularly Google Cloud Platform (GCP). Requirements Key Responsibilities: Design, develop, and deploy machine learning and AI models and algorithms tailored to business needs Build and deliver Proof of Concept (POC) applications to showcase the feasibility and value of AI solutions Write clean, maintainable, and well-documented Python code Collaborate with data engineers to ensure high-quality data pipelines for training and evaluation Partner with senior developers to understand project goals and contribute to architectural and technical decisions Debug and optimize machine learning models and related applications Stay current with emerging trends and technologies in AI/ML Use machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development Develop and deploy ML models on Google Cloud Platform (GCP) Apply effective data preprocessing and feature engineering techniques using libraries such as Pandas and NumPy Utilize Vertex AI for end-to-end model training, deployment, and monitoring Integrate Google Gemini for advanced AI features when applicable Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, or a related discipline Minimum of 3 years of experience in designing and implementing AI/ML solutions Proficiency in Python with strong coding practices Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of machine learning algorithms and concepts Ability to work both independently and collaboratively within a team Strong analytical and problem-solving skills Effective verbal and written communication skills Experience with Google Cloud Platform (GCP) is preferred Familiarity with Vertex AI and Google Gemini is an added advantage Key Skills: Machine Learning, Artificial Intelligence, Python, TensorFlow, PyTorch, Scikit-learn, GCP, Vertex AI, Pandas, NumPy, Google Gemini

Company Description Vertex Elite LLC, founded in 2023 and headquartered in Houston, TX, specializes in ERP/Cloud solutions. The company designs custom applications to simplify enterprise application management for clients across industries and government organizations in the U.S. With a team of 350+ IT professionals, Vertex Elite focuses on enhancing user experience and tailoring solutions to help organizations boost productivity and achieve ROI goals. Role Description This is a full-time on-site role located in Hyderabad for a Business Development Manager Healthcare at Vertex Elite LLC. The Business Development Manager Healthcare will be responsible for new business development, sales presentations, sales, and account management to drive growth and revenue for the company. Qualifications New Business Development and Sales skills Sales Presentations and Account Management skills Experience in Business Development Strong communication and negotiation skills Ability to build and maintain client relationships Bachelor's degree in Business Administration, Marketing, or related field Experience in healthcare industry is a plus

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions. Our goal is to 'Deliver in time-every time'. For more details visit our website: www.bebotechnologies.com Let's have a 360 tour of our bebo premises by clicking on below link: https://www.youtube.com/watch?v=S1Bgm07dPmMKey Required Skills: Bachelor's or Master’s degree in Computer Science, Data Science, or related field. 7–10 years of industry experience, with at least 5 years in machine learning roles. Advanced proficiency in Python and common ML libraries: TensorFlow, PyTorch, Scikit-learn. Experience with distributed training, model optimization (quantization, pruning), and inference at scale. Hands-on experience with cloud ML platforms: AWS (SageMaker), GCP (Vertex AI), or Azure ML. Familiarity with MLOps tooling: MLflow, TFX, Airflow, or Kubeflow; and data engineering frameworks like Spark, dbt, or Apache Beam. Strong grasp of CI/CD for ML, model governance, and post-deployment monitoring (e.g., data drift, model decay). Excellent problem-solving, communication, and documentation skills.

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Principal IS Architect Live What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a visionary and technically exceptional Principal IS Architect to lead the design and development of enterprise-wide intelligent search solutions. s a senior-level IT professional who designs and oversees the implementation of robust and scalable data and AI solutions, often utilizing the Java programming language and related technologies. This role requires a strong understanding of both data architecture principles and AI/ML concepts, along with expertise in Java development and cloud platforms You’ll lead by example—mentoring engineers, setting standards, and driving the technical vision for our next-generation search capabilities. This person will also be responsible for defining the roadmap for Products They will work closely with Development teams and act as a bridge between Product owners and Development teams to perform Proof of Concepts on provided design and technology, develop re-usable components etc. This is a senior role in the organization which along with a team of other architects will help design the future state of technology at Amgen India Design and Strategy: Responsibilities include developing and maintaining foundational architecture for data and AI initiatives, defining the technical roadmap, and translating business requirements into technical specifications Data Architecture: This involves designing and implementing data models, database designs, and ETL processes, as well as leading the design of scalable data architectures. The role also includes establishing best practices for data management and ensuring data security and compliance. AI Architecture and Implementation: Key tasks include architecting and overseeing the implementation of AI/ML frameworks and solutions, potentially with a focus on generative AI models, and defining processes for AI/ML development and MLOps. Develop end-to-end solution architectures for data-driven and AI-focused applications, ensuring alignment with business objectives and technology strategy. Lead architecture design efforts across data pipelines, machine learning models, AI applications, and analytics platforms in our Gap Data Platform area. Collaborate closely with business partners, product managers, data scientists, software engineers, and the broader Global Technology Solutions teams in vetting solution design and delivering business value. Provide technical leadership and mentoring in data engineering and AI best practices. Evaluate and recommend emerging data technologies, AI techniques, and cloud services to enhance business capabilities. Ensure the scalability, performance, and security of data and AI architectures. Establish and maintain architectural standards, including patterns and guidelines for data and AI projects. Create architecture artifacts(concept, system, data architecture) for data and AI projects/initiatives. Create and oversee architecture center of excellence for data and AI area to coach and mentor resources working in this area. Set technical direction, best practices, and coding standards for search engineering across the organization. Review designs, mentor senior and mid-level engineers, and champion architecture decisions aligned with product goals and compliance needs. Own performance, scalability, observability, and reliability of search services in production. Resolving technical problems as they arise. Providing technical guidance and mentorship to junior developers. Continually researching current and emerging technologies and proposing changes where needed. .Assessing the business impact that certain technical choices have. Providing updates to stakeholders on product development processes, costs, and budgets. Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly Work closely with project management teams to successfully monitor progress of initiatives Current understanding of best practices regarding system security measures Positive outlook in meeting challenges and working to a high level Advanced understanding of business analysis techniques and processes Account for possible project challenges on constraints including, risks, time, resources and scope Possesses strong rapid prototyping skills and can quickly translate concepts into working code Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline Participate to both front-end and back-end development using cloud technology. Develop innovative solution using generative AI technologies Define and implement robust software architectures on the cloud, AWS preferred Conduct code reviews to ensure code quality and alignment to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product team, business team, and other key partners. Basic Qualifications: Master’s degree in computer science & engineering preferred with 12-15 years of software development experience OR, Bachelor’s degree in computer science & engineering preferred with 11-15 years of software development experience Minimum of 7 years of professional experience in technology, including at least 3 years in a data architecture and AI solution architect role. Strong expertise in cloud platforms, preferably Azure and GCP, and associated data and AI services. Proven experience in architecting and deploying scalable data solutions, including data lakes, warehouses, and streaming platforms. Working knowledge of tools/technologies like Azure Data Factory, Confluent Kafka, Spark, Databricks, BigQuery and Vertex AI. Deep understanding of AI/ML frameworks and tools such as TensorFlow, PyTorch, Spark ML, or Azure ML. Preferred Qualifications: Programming Languages: Proficiency in multiple languages (e.g., Python, Java,Data bricks, Vertex) is crucial and must Experienced with API integration, serverless, microservices architecture. Proficiency with programming languages like Python, Java, or Scala. Proficiency vAzure Data Factory, Confluent Kafka, Spark, Databricks, BigQuery and Vertex AI. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Spark ML, or Azure ML Solid understanding of data governance, security, privacy, and compliance standards. Exceptional communication, presentation, and stakeholder management skills. Experience working in agile project environments Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Experience with Langchain or llamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer-MLOps We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development, deployment, and monitoring of machine learning models in production environments. This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science, software engineering, and DevOps. You will work closely with senior MLOps engineers, data scientists, and software developers to build scalable, reliable, and automated ML workflows across cloud platforms like AWS and Azure Key Responsibilities include: Assist in building and maintaining ML pipelines for data preparation, training, testing, and deployment Support the automation of model lifecycle tasks including versioning, packaging, and monitoring Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) Assist with containerizing ML models using Docker, and deploying using Kubernetes or cloud-native orchestrators Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation Participate in implementing CI/CD pipelines for ML workflows using GitHub Actions, Azure DevOps, or Jenkins Contribute to testing frameworks for ML models and data validation (e.g., pytest, Great Expectations). Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation Participate in diagnosing issues related to model accuracy, latency, or infrastructure bottlenecks Continuously improve knowledge of MLOps tools, ML frameworks, and cloud practices. Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in Devops, with 2+ years in MLOps. Good Understanding of MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git. Proficient in Python and familiar with bash scripting Exposure to MLOps platforms or tools such as SageMaker Studio, Azure ML, or GCP Vertex AI. Requisition ID: 610751 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Python (Programming Language) Good to have skills : Generative AI Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a highly motivated and technically skilled GenAI & Prompt Engineering Specialist to join our Automation & Asset Development & Deployment team. This role will focus on designing, developing, and optimizing generative AI solutions using Python and large language models (LLMs). You will be instrumental in building intelligent automation workflows, refining prompt strategies, and ensuring scalable, secure AI deployments. Roles & Responsibilities: -• Design, test, and optimise prompts for LLMs to support use cases which benefit the infra & application managed services. • Build and maintain Python-based microservices and scripts for data processing, API integration, and model orchestration. • Collaborate with SMEs to convert business requirements into GenAI-powered workflows, including chunking logic, token optimisation, and schema transformation. • Work with foundation models and APIs (e.g., OpenAI, Vertex AI, Claude Sonnet) to embed GenAI capabilities into enterprise platforms. • Ensure all AI solutions comply with internal data privacy, PII masking, and security standards. • Conduct A/B testing of prompts, evaluate model outputs, and iterate based on SME feedback. • Maintain clear documentation of prompt strategies, model behaviors, and solution architectures. Professional & Technical Skills: • Strong proficiency in Python, including experience with REST APIs, data parsing, and automation scripting. • Deep understanding of LLMs, prompt engineering, and GenAI frameworks (e.g., LangChain, RAG pipelines). • Familiarity with data modelling, SQL, and RDBMS concepts. • Experience with agentic workflows, token optimization, and schema chunking. Additional Information: - The candidate should have minimum 5 years of experience in Python (Programming Language). - This position is based at our Noida office. - A 15 years full time education is required. 15 years full time education

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop).

The Role We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing •Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. •Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. •Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). •Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. •Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. •Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. •Design and optimize ETL pipelines for data quality management, transformation, and validation. •Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. •Create interactive data visualizations using Tableau and Power BI to drive business insights. •Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. •Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along •2+ years of experience applying AI to practical uses. •Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. •Knowledge of basic algorithms and object-oriented and functional design principles •Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. •Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. •Experience with big data processing using Apache Spark and Snowflake. •Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. •Strong understanding of database management, query optimization, and data warehousing. •Experience with data visualization tools such as Tableau and Power BI. •Ability to work in a collaborative environment and adapt to new AI technologies. •Strong analytical and problem solving skills. Education: •Bachelor’s degree in computer science, Data Science, AI/ML, or a related field.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer-MLOps We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development, deployment, and monitoring of machine learning models in production environments. This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science, software engineering, and DevOps. You will work closely with senior MLOps engineers, data scientists, and software developers to build scalable, reliable, and automated ML workflows across cloud platforms like AWS and Azure Key Responsibilities Include Assist in building and maintaining ML pipelines for data preparation, training, testing, and deployment Support the automation of model lifecycle tasks including versioning, packaging, and monitoring Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) Assist with containerizing ML models using Docker, and deploying using Kubernetes or cloud-native orchestrators Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation Participate in implementing CI/CD pipelines for ML workflows using GitHub Actions, Azure DevOps, or Jenkins Contribute to testing frameworks for ML models and data validation (e.g., pytest, Great Expectations). Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation Participate in diagnosing issues related to model accuracy, latency, or infrastructure bottlenecks Continuously improve knowledge of MLOps tools, ML frameworks, and cloud practices. Required Qualification Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in Devops, with 2+ years in MLOps. Good Understanding of MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git. Proficient in Python and familiar with bash scripting Exposure to MLOps platforms or tools such as SageMaker Studio, Azure ML, or GCP Vertex AI. Requisition ID: 610751 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Job Summary: We are seeking a seasoned SAP FICO Architect to lead the design, development, and deployment of SAP Finance and Controlling solutions. The ideal candidate will possess deep functional expertise in SAP FICO and a strong understanding of integration with other SAP modules and third-party systems. The architect will play a critical role in finance transformation initiatives, solution design, and system optimization projects. Key Responsibilities: Lead end-to-end solution architecture for SAP FICO implementations and enhancements. Conduct requirement gathering, gap analysis, and blueprinting sessions with business stakeholders. Design and document scalable and flexible SAP FICO solutions aligned with business goals. Configure and customize SAP FICO modules including GL, AP, AR, AA, CCA, PCA, and COPA. Provide expert guidance on integration with SD, MM, PS, and HR modules. Lead data migration strategy and execution for finance-related master and transactional data. Collaborate with technical teams for custom developments, enhancements, and interfaces. Conduct workshops, UAT sessions, and provide training/support to end users. Provide technical leadership and mentorship to FICO consultants and cross-functional teams. Ensure compliance with internal controls, SOX, and financial regulatory requirements. Drive continuous improvements and system optimizations in finance processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Finance, Accounting, IT, or a related field. 10+ years of hands-on SAP FICO experience, with at least 3 years in an architect role. Strong experience with SAP S/4HANA Finance (preferred). Deep knowledge of business processes in finance and controlling. Proven experience in solution design, project delivery, and stakeholder management. Expertise in FI sub-modules: GL, AP, AR, AA, Bank Accounting. Expertise in CO sub-modules: CCA, PCA, Internal Orders, Product Costing, COPA. Familiarity with SAP Central Finance, Group Reporting, and Treasury is a plus. Strong leadership, analytical, and communication skills. SAP FICO certification is an added advantage. Nice to Have: Experience with Agile/Scrum methodologies. Familiarity with SAP Activate methodology. Knowledge of third-party tools such as BlackLine, Vertex, Concur, etc. Experience in global rollouts and multi-country implementation projects.

Job title: Generative AI Architect Location: Remote Type: Full-Time AI/ML & Generative AI Architect Job Summary: We are seeking a highly skilled and motivated AI/ML & Generative AI Architect to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP , and Recommendation & Predictive Modelling . The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries. Key Responsibilities: Design, develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy , and scikit-learn . Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers . Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain , LlamaIndex , and vector databases like FAISS and Milvus . Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock). Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework , or FastAPI . Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring. Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements. Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large-scale datasets. Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders. Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value. Demonstrate innovation in Private AI and Smart Agent Solutions , ensuring data privacy and intelligent automation. Stay current with trends and advancements in AI, GenAI, LLMs, and related fields. Minimum Qualifications: 5+ years of experience using Python and relevant packages for ML and data science. 3+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Integrations System Design and architecture AI/ML ML Ops Strong understanding of LLM technologies , embedding models , cloud-based AI services , and AI/ML operations . Hands-on experience with cloud-based AI platforms , including Azure OpenAI , Google Vertex Gen AI , and AWS AI services . Soft Skills: Strong problem-solving skills and critical thinking. Effective communicator capable of translating complex AI topics to stakeholders. Self-driven, collaborative, and adaptable to fast-paced environments.

We are seeking a visionary AI Architect to lead the design and integration of cutting-edge AI systems, including Generative AI , Large Language Models (LLMs) , multi-agent orchestration , and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks, and can translate complex business goals into innovative, AI-driven technical solutions. Primary Stack & Tools: Languages : Python, SQL, Bash ML/AI Frameworks : PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers GenAI & LLM Tooling : OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI Agentic & Multi-Agent Frameworks : LangGraph, CrewAI, Agno, AutoGen Search & Retrieval : FAISS, Pinecone, Weaviate, Elasticsearch Cloud Platforms : AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock) MLOps & DevOps : MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API Data Tools : Snowflake, BigQuery, Spark, Airflow Key Responsibilities: Architect scalable and secure AI systems leveraging LLMs , GenAI , and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search). Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases. Build robust agentic workflows using tools like LangGraph , CrewAI , or Agno , enabling autonomous task execution, planning, memory, and tool use. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. Define and enforce AI/ML infrastructure best practices , including security, scalability, observability, and model governance. Manage technical road-map, sprint cadence, and 3–5 AI engineers; coach on best practices. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards. Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build-vs-buy decisions. Qualifications: 10+ years of experience in AI/ML engineering or data science, with 3+ years in AI architecture or system design. Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning , prompt engineering , and RAG-based systems . Strong understanding of agentic AI design principles , multi-agent orchestration , and tool-augmented LLMs . Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure. Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming). Familiarity with data governance , AI ethics , and security considerations in production-grade systems. Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.