82 Ml Ops Jobs

As a Cyber Security professional, you will be part of the Group Operational, Technology and Cybersecurity Risk (OTCR) organization at Standard Chartered Bank in Chennai, IN. You will play a crucial role in safeguarding the bank's data and IT systems by managing technological, information, and cyber security risks across the enterprise. Reporting into the Group Chief Risk Officer (CRO), your responsibilities will include ensuring the effective implementation of Operational, Technology, and ICS controls in alignment with the Operational Risk Type Framework (ORTF) and the ICS Risk Type Framework. You will be instrumental in fostering a positive culture of Operational, Technology, and Cybersecurity risk management within the bank. Collaborating with the OTCR team, CISO & COO, you will support the Tech and ICS risk management strategy, governance, advisory, and assurance roles for various client businesses, regions, and functions. Your expertise in ICS controls domains such as Network Security Management, End-point Security, Security Incident Management, Cyber Forensic, Cloud Computing, Identity Access Management (IAM), AI/ML, and DevSecOps will be essential. Key responsibilities will involve overseeing and challenging 1st line Tech and ICS risk proposals, monitoring Tech and ICS risks and remediation plans, ensuring regulatory compliance, promoting a healthy Tech and ICS risk culture, and conducting reviews to drive improvements. You will also play a pivotal role in governance, collaborating with teams within TTO and participating in work groups to advise and challenge on Tech and ICS matters. To be successful in this role, you should have a strong background in Cyber Security frameworks, standards, and principles, Cloud and Container Security, Data Science and Analytics, ML Ops, and DevSecOps. A degree in Information and Cyber Security or Technology, along with a minimum of 10 years of experience in information security or risk management, is required. Professional certifications such as CRISC, CCSK/CCSP, CISSP, CISA, CISM are desirable. Your ability to communicate effectively in English, present complex AI/ML risk concepts to non-technical stakeholders, and uphold the highest standards of ethics and compliance will be crucial. By joining Standard Chartered, you will be part of an international bank that values diversity, inclusion, and continuous learning, offering flexible working options, wellbeing support, and opportunities for personal and professional growth. If you are looking for a purpose-driven career in Cyber Security and want to contribute to a bank that makes a positive impact, Standard Chartered welcomes your unique talents and values your commitment to driving commerce and prosperity through diversity and inclusion. For more information and to explore career opportunities, visit www.sc.com/careers.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector areas for ZS, Beyond Healthcare engagement, comprising clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. The BHCA India team currently has a presence across New Delhi, Pune, and Bengaluru offices and is continuously expanding further at a great pace. The BHCA India team works with colleagues across clients and geographies to create and deliver real-world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You'll Do: - Build, Refine and Use ML Engineering platforms and components. - Scaling machine learning algorithms to work on massive datasets and strict SLAs. - Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training. - Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. - Collaborate with client-facing teams to understand business context at a high level and contribute to technical requirement gathering. - Implement basic features aligning with technical requirements. - Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors. - Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. - Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths. - Use bug tracking, code review, version control, and other tools to organize and deliver work. - Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies. - Consistently contribute to researching & evaluating the latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions. What You'll Bring: - A master's or bachelor's degree in Computer Science or related field from a top university. - 4+ years hands-on experience in ML development. - Good understanding of the fundamentals of machine learning. - Strong programming expertise in Python, PySpark/Scala. - Expertise in crafting ML Models for high performance and scalability. - Experience in implementing feature engineering, inferencing pipelines, and real-time model predictions. - Experience in ML Ops to measure and track model performance, experience working with MLFlow. - Experience with Spark or other distributed computing frameworks. - Experience in ML platforms like Sage maker, Kubeflow. - Experience with pipeline orchestration tools such as Airflow. - Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. - Expertise in SQL, SQL DB's. - Knowledgeable of core CS concepts such as common data structures and algorithms. - Collaborate well with teams with different backgrounds/expertise/functions. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE.,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

Looking for Immediate to 15Days of Notice Period and Serving Notice period candidates only Location: Bangalore, Mumbai Role: Contract Role Primary Responsibilities: • Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). • Possess end-to-end knowledge of VLLM model hosting and inferencing. • Advanced knowledge of public cloud platforms such as AWS and Azure. • Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. • Experience in production support and real-time issue handling. • Design dashboards and visualizations to provide operational insights to stakeholders. • Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc. • 1 to 2 years of experience with Jenkins and GoCD to make build/deploy pipelines. • Hands-on experience with open-source and self-hosted model APIs using SDKs. • Drive data-driven decisions by analyzing operational data and generating reports on system health, performance, and availability. • Basic knowledge of kserve and rayserve inferencing . • Good knowledge of high level scaling using Karpenter , Keda , System based vertical/horizontal scaling. • Strong knowledge on linux operating system or linux certified . • Previous experience with Helm chart deployments and Terraform template and module creation is highly recommended. Secondary Responsibilities: • Proven experience in AIOps and DevOps, with a strong background in cloud technologies (AWS, Azure, Google Cloud). • Proficiency in tools such as Kubeflow, Kserve, ONNX, and containerization technologies (Docker, Kubernetes). • Experience with enterprise-level infrastructure, including tools like terraform, helm, and On-Prem servers hosting. • Previous experience in fintech or AI based tech companies are highly desirable. • Demonstrates the ability to manage workloads effectively in a production environment. • Possesses excellent communication and collaboration skills, with a strong focus on cross-functional teamwork.

What Youll Do Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What Youll Bring A masters or bachelors degree in Computer Science or related field from a top university. 5+ years hands-on experience in ML development. Good fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions. Additional Skills Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform; Experience in data engineering in Big Data systems

At Uber, we reimagine the way the world moves for the better. The Uber AI Solutions organization, also known as Global Scaled Solutions, is at the forefront of enabling various operations and technologies to support this mission. Our capabilities include data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering, and more. We leverage a combination of technology and human intelligence to efficiently run scaled programs. Within Uber AI Solutions, we focus on delivering high-quality scaled programs in operations, technology, and data analytics for different Uber businesses. We utilize our extensive vendor partner network to execute these programs effectively. Moreover, we aim to expand our impact beyond Uber by offering tech and operations solutions that can help enterprises worldwide accelerate their data, AI, and product initiatives. Through online tasks, we create flexible earning opportunities for millions of individuals globally. Our unique combination of technology, operations expertise, and knowledge work platform positions us as a leading human-in-the-loop solution provider in the industry. About The Role We are seeking an exceptional candidate to drive and oversee programs related to AI training and evaluations within the Engineering Services team of Uber AI Solutions. This role specifically focuses on coding/engineering, agentic AI, data analytics, and related fields. The candidate will have the opportunity to enhance and scale existing capabilities for coding and data applications in AI training, establishing Uber AI Solutions as a leader in data annotation and AI training. What You Will Do - Lead multiple annotation/training/evaluation programs for clients, focusing on coding and data areas - Develop delivery solutions based on client requirements, including sourcing technical talent and managing service delivery quality checks - Engage with client stakeholders to shape project scope, demonstrate capabilities, and ensure successful project governance - Collaborate with Sales to interact with clients and design delivery solutions - Implement a sourcing strategy to acquire technical talent for coding and data-related training/evaluations - Work with Product and Engineering teams to develop tech platform capabilities specific to coding and data analytics tasks - Demonstrate expertise in coding and data analytics AI training/evaluations during client engagements and drive talent supply strategy and platform development - Coach and mentor the program manager team to enhance in-house talent for coding and data AI evaluations/training - Represent coding and data AI capabilities at senior leadership interactions and drive sponsorship for initiatives - Continually improve work processes, enhance delivery maturity, and promote organizational culture What You Will Need - 10+ years of experience in software engineering, ML engineering, and ML operations - Experience in managing delivery services for data annotation, training, and evaluation in coding and development fields - Familiarity with client-facing service management, solutioning, and talent sourcing strategies - Strong communication skills for engaging with senior management and cross-functional teams - Track record of driving innovation and thought leadership in AI/ML training and evaluation services - Ability to collaborate effectively across teams and drive impact in a global organization - Experience in mentoring and coaching team members to facilitate organizational growth,

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

You should have a Bachelor's Degree in a technical or quantitative field from an accredited college or university. A Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. You must have at least 10 years of relevant experience in Machine Learning and Statistics. A strong mathematical background is required, with the ability to understand algorithms and methods both mathematically and intuitively. Your primary responsibilities will include translating business objectives into analytic approaches, identifying data sources to support analysis, and analyzing structured and unstructured data using advanced statistical methods, deep learning, and Generative AI. You will need to perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns. Proficiency in Python and SQL is essential, along with experience in working with open-source packages and commercial/enterprise applications. You should be comfortable with machine learning and statistical methods such as regression, classification, clustering, ensemble and tree-based models, and time-series analysis. Prior experience or understanding in ML Ops in any cloud platform is required. You should have a strong background in Generative AI, particularly with tools like ChatGPT and CoPilot, and hands-on experience in using APIs to integrate with CoPilot and fabric. Exposure to the Microsoft Tech Stack ecosystem is necessary, along with familiarity with Azure Document Intelligence and Azure Machine Learning for model training and deployment. Additionally, you should be familiar with at least one of the following: Azure AI Language, Azure AI Vision. As part of your role, you will need to communicate results and educate others through reports and presentations. Familiarity with DevOps, code version control, and software development coding best practices is essential. Candidates must hold at least two of the following certifications from Azure: DP-203, MB260, DP-900, AI-102, AI-900.,

You are an experienced Senior DevOps/MLOps Engineer who will be responsible for leading and managing a high-performing engineering team. Your main focus will be on overseeing the deployment and scaling of machine learning models and backend services using modern DevOps and MLOps practices. It is essential that you have proficiency in FastAPI, Docker, Kubernetes, and CI/CD. Your key responsibilities will include guiding and managing a team of DevOps/MLOps engineers, optimizing, containerizing, and deploying FastAPI applications at scale, managing infrastructure using tools like Terraform or Helm, handling multi-environment Kubernetes clusters (GKE, EKS, AKS, or on-prem), managing ML model lifecycle including versioning, deployment, monitoring, and rollback, designing and maintaining robust CI/CD pipelines for model and application deployment, setting up observability tools such as Prometheus, Grafana, ELK, ensuring secure infrastructure and data pipelines. Your required skills should include a deep understanding of building, scaling, and securing APIs with FastAPI, expert-level experience in Docker and Kubernetes for containerization and orchestration, familiarity with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar, experience with cloud platforms such as AWS/GCP/Azure, strong scripting and automation skills with Python, and knowledge of ML Workflow Tools like MLflow, DVC, Kubeflow, or Seldon. Preferred qualifications for this role include experience in managing hybrid cloud/on-premise deployments, strong communication and mentoring skills, and an understanding of data pipelines, feature stores, and model drift monitoring. This is a full-time, permanent position that requires in-person work location.,

NTT DATA is looking for a Systems Integration Specialist to join their team in Bangalore, Karntaka (IN-KA), India. As a Systems Integration Specialist, your main responsibility will be to build machine learning models for predicting asset health, process anomalies, and optimizing operations. You will also work on sensor data pre-processing, model training, and inference deployment. Collaboration with simulation engineers for closed-loop systems will also be a part of your role. The ideal candidate should have 4-6 years of experience and possess the following skills: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn, TensorFlow/PyTorch. - Experience with ML Ops on Azure ML, Databricks, or similar. - Understanding of manufacturing KPIs such as OEE, MTBF, and cycle time. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries and a strong partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, as well as development, implementation, and management of applications, infrastructure, and connectivity. As a part of the NTT Group, which invests significantly in R&D, NTT DATA is at the forefront of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, consider applying to NTT DATA for the Systems Integration Specialist role.,

As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,

As a Data Science Consultant at S&C GN, you will be a key contributor to innovative projects and impactful solutions in various domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Product. Your role will involve hands-on technical expertise, client delivery management skills, and the execution of cutting-edge projects in Generative AI, data science, and cloud-based analytics. Your responsibilities will include: Data Science and Engineering: - Performing advanced analytics using Python, SQL, and Pyspark with machine learning frameworks. - Developing predictive models, recommendation systems, and optimization solutions tailored to business needs. - Managing and preprocessing large, complex datasets to ensure efficient pipelines and advanced feature engineering. - Building MLOps pipelines for model training/retraining, monitoring, and scalability. Dashboard and Reporting: - Developing dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. - Presenting results and recommendations to stakeholders, utilizing data storytelling to drive decision-making. Cloud Platform Expertise: - Designing and implementing end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. - Leveraging cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. Generative AI Expertise: - Leading the development of Generative AI-based applications and solutions using frameworks like LangChain, LlamaIndex. - Driving model evaluation strategies with advanced metrics (e.g., BLEU, ROUGE, FID) and optimizing performance for production-grade applications. - Architecting deployment solutions, including API development and seamless integration with existing systems. Required Qualifications: - Experience: 4+ years in data science. - Education: Bachelor's/master's degree in computer science, statistics, applied mathematics, or a related field. - Industry Knowledge: Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Product. Technical Skills: - Programming: Proficiency in Python, SQL, and Pyspark. - GenAI Expertise: Hands-on experience in building GenAI-based applications and solutions, deploying GenAI applications in production. - Cloud Platforms: Experience with Azure/AWS/GCP. - Visualization Tools: PowerBI/Tableau. Preferred Skills: - Strong analytical and problem-solving skills with a results-oriented mindset. - Good communication and stakeholder management capabilities. - Ability to generate business insights and present them effectively to stakeholders. Note: This role requires 4-8 years of experience in data science and a Bachelor's/master's degree in computer science, statistics, applied mathematics, or a related field. Join us at Accenture and be part of our dynamic team.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

As a Senior AI Engineer at our leading global credit rating and financial analytics organization, you will play a key role in leveraging cutting-edge AI and analytics to redefine how financial intelligence is powered and delivered. In this role, you will have the opportunity to work on state-of-the-art solutions and drive our AI capabilities into the future. You will be at the forefront of AI innovation in finance technology, with exposure to next-gen GenAI techniques. Collaborating with dynamic global teams spanning finance, technology, and client solutions, you will work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Your responsibilities will include developing and deploying advanced AI solutions using the latest Generative AI techniques, such as Retrieval-Augmented Generation (RAG) pipelines, designing and building Agentic AI systems, and fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation. In addition, you will build scalable AI workflows, lead the end-to-end AI solution development lifecycle, and collaborate closely with cross-functional global teams to translate business challenges into AI-driven solutions. You will continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. To be successful in this role, you should have 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and experience deploying AI/ML solutions on cloud platforms are essential. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus, along with decent communication skills and a self-driven, proactive mindset. You should hold a Bachelors or Masters degree from premier Indian institutes in Computer Science, Any Engineering discipline, Mathematics, or related quantitative fields. Benefits of this role include a hybrid work model, continuous learning budget, and opportunities to work on industry-leading AI research. If you are eager to push boundaries of AI in financial analytics and thrive in a global, fast-paced environment, we encourage you to apply now and step into the Future of Financial technology with AI.,

The Engineering Manager position at Miimansa involves leading the end-to-end product engineering lifecycle within the healthcare and life sciences domain. As an Engineering Manager, you will be responsible for providing technical oversight, project planning and execution, innovation, and problem-solving to ensure the quality, reliability, security, and scalability of AI systems in production environments. Your key responsibilities will include hands-on leadership in AI/ML system design and deployment, guiding solution architecture, data pipelines, algorithm selection, and model development. You will define project scope, objectives, and deliverables, align day-to-day execution with strategic goals, and manage detailed planning, timeline, and resource allocation for world-class delivery standards within time and budget constraints. To qualify for this role, you should have a Bachelors/Masters/Ph.D. in Computer Science, Machine Learning, Engineering, or a related technical field. You must possess proven hands-on experience in AI/ML system development, strong foundational knowledge of data engineering, machine learning algorithms, and cloud-native architectures, and demonstrated ability to lead from within the team while actively contributing to technical problem-solving. Additionally, you should have experience managing complex projects with cross-functional teams, familiarity with ML Ops, CI/CD practices, versioning, and monitoring AI systems in production, as well as strong interpersonal and leadership skills. A track record of fostering innovation, mentoring talent, and elevating team performance through technical and emotional intelligence will be highly valued. Preferred qualifications include experience in healthcare IT or clinical research informatics, familiarity with healthcare data standards like HL7 and FHIR, knowledge of AI/ML applications in healthcare, and an understanding of regulatory requirements in healthcare software development. If you are looking to make a significant impact in the field of AI/ML within healthcare and life sciences, this role at Miimansa offers a unique opportunity to lead innovative technology solutions and drive continuous improvement in a collaborative and dynamic environment.,

Wipro Limited is a renowned technology services and consulting company dedicated to developing innovative solutions to tackle clients" most intricate digital transformation requirements. With a workforce of over 230,000 employees and business partners across 65 countries, Wipro assists clients in achieving their ambitious goals and establishing sustainable future-ready businesses. As a Machine Learning and AI Solutions Architect at Wipro, your role revolves around defining, architecting, and leading the delivery of cutting-edge machine learning and AI solutions. Your responsibilities include: 1. **Demand generation through support in Solution development**: - Collaborating with sales, pre-sales, and consulting teams to create solutions and propositions for proactive demand generation. - Developing solutions and proof of concepts aligned with key offerings to facilitate solution-led sales. - Partnering with various colleges and institutes for recruitment, joint research initiatives, and provision of data science courses. 2. **Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions**: - Designing Machine Learning / Deep learning models for decision augmentation or automation solutions. - Collaborating with ML Engineers, Data engineers, and IT to assess ML deployment options. - Integrating model performance management tools into the existing business infrastructure. 3. **Team Management**: - Supporting the recruitment process to onboard the right resources for the team. - Providing onboarding and training for team members to enhance capability and effectiveness. - Conducting timely performance reviews, giving constructive feedback to direct reports, and being a role model to the team. **Deliverables**: - **Demand generation**: Order booking. - **Revenue generation through delivery**: Timeliness, customer success stories, customer use cases. - **Capability Building & Team Management**: % trained on new skills, Team attrition %. **Mandatory Skills**: ML Ops. **Experience**: 8-10 Years. Join Wipro, a company that is reinventing itself into a modern entity, with bold ambitions for digital transformation. If you are inspired by reinvention, constant evolution, and empowerment to design your own reinvention, Wipro is the place for you. Come to Wipro, realize your ambitions, and be part of a purpose-driven business that welcomes applications from people with disabilities.,

Urgent Hiring Genpact (on role) for MLOps Engineer Permanent role Location: Hyderabad Shift Timing: 12 PM to 10 PM IST Looking for candidates with Immediate to serving notice period of 30-45 days maximum. Candidates with the right combination of ML lifecycle management , cloud infrastructure , and generative AI expertise. Breakdown: Role keywords : MLOps, LLM Ops, ML Engineer Technical skills: T echnical skills Cloud platforms : AWS, Azure Automation skills : CI/CD Containerization : Docker, Kubernetes Monitoring tools : Prometheus, Grafana With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Lead Consultant, ML Ops Engineer ! We are seeking a highly skilled and experienced ML Ops / LLM Ops Engineer to join our team. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production. Responsibilities Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring. Conduct research and experimentation to explore new generative AI techniques and stay up to date with industry trends. Integrate GenAI APIs and microservices into existing applications and systems. Develop solutions leveraging GanAI technologies, integrating advanced AI capabilities into cloud native architectures to enhance system functionality and scalability. Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). MLOps Support and Maintenance on ML Platforms Dataiku/Sagemaker. Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. Design and implement monitoring and alerting systems to track model performance, data drift, and other key metrics. Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data. Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development and deployment. Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues. Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization. Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability. Stay up to date on the latest advancements in MLOps and incorporate them into our platform and processes. Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in computer science, Data Science, Engineering, or a related field, or equivalent experience. Deep understanding of generative AI concepts, including neural networks, recurrent neural networks, and GANs. Experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure. Proven experience in ML Ops, LLM Ops, or related roles, with hands-on experience deploying and managing machine learning and large language model pipelines Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads. Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes. Familiarity with monitoring and alerting tools for ML systems (e.g., Prometheus, Grafana). Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Passion for Generative AI and its potential to revolutionize various industries. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

As an Azure Architect at Fractal, you will be part of a dynamic team in the Artificial Intelligence space dedicated to empowering human decision-making in the enterprise. You will contribute to the development and delivery of innovative solutions that assist Fortune 500 companies in making strategic and tactical decisions. Fractal is renowned for its cutting-edge products such as Qure.ai, Cuddle.ai, Theremin.ai, and Eugenie.ai, which leverage AI to drive business success. Joining our Technology team, you will play a pivotal role in designing, building, and maintaining technology services for our global clientele. Your responsibilities will include actively participating in client engagements, developing end-to-end solutions for large projects, and utilizing Software Engineering principles to deliver scalable solutions. You will be instrumental in enhancing our technology capabilities to ensure successful project delivery. To excel in this role, you should hold a bachelor's degree in Computer Science or a related field and possess 5-10 years of experience in technology. Your expertise should span System Integration, Application Development, and Data-Warehouse projects, encompassing a variety of enterprise technologies. Proficiency in object-oriented languages like Python and PySpark, as well as relational and dimensional modeling, is essential. Additionally, a strong command of Microsoft Azure components such as Azure DataBricks, Azure Data Factory, and Azure SQL is mandatory. We are seeking individuals with a forward-thinking mindset and a proactive approach to problem-solving. If you are passionate about leveraging cloud technology and machine learning to drive business innovation, and if you thrive in a collaborative environment with like-minded professionals, we invite you to explore a rewarding career at Fractal. If you are ready to embrace challenges, foster growth, and collaborate with a team of high-performing individuals, we look forward to discussing how you can contribute to our mission of transforming decision-making processes with AI technology. Join us on this exciting journey towards shaping the future of enterprise decision-making!,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities University Degree in Computer Science, Information Technology, or related field 5+ years of experience in the Machine Learning Operations role Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine learning production system Develop and deploy scalable tools and services for our clients to handle machine learning training and inference Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security Facilitate the development and deployment of proof-of-concept machine learning systems Communicate with clients to build requirements and track progress Strong analytic skills related to working with structured, semi structured and unstructured datasets Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction

Job description JD:ML Developers to build prod-ready models that will help with content extraction and classification from images and text based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms. Should be able to troubleshoot development and production problems across multiple environments and operating platforms. Experience is preferred in Agile/DevOps areas.

Job Summary: We are looking for a results-driven and innovative AI/ML Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning systems at scale. Youll collaborate with cross-functional teams to integrate AI capabilities into products and services, transforming data into actionable insights and intelligent automation. Key Responsibilities: Design, implement, and maintain scalable machine learning models and pipelines. Work closely with data scientists to transition prototypes into production-ready solutions. Optimize models for performance, scalability, and low-latency inference. Deploy models using modern MLOps practices (e.g., CI/CD, model monitoring, versioning). Collaborate with data engineers to build efficient data pipelines and feature stores. Continuously monitor and improve the performance of deployed models. Integrate AI/ML systems with cloud services, APIs, and front-end applications. Stay up to date with the latest developments in AI/ML frameworks, tools, and research. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience in machine learning, software engineering, or a related area. Strong programming skills in Python, R Programming Language and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience deploying ML models in production (e.g., REST APIs, batch processing, real-time inference). Familiarity with cloud platforms like AWS, OCI, GCP, or Azure (e.g., Sagemaker, Vertex AI). Solid understanding of software engineering best practices (version control, testing, debugging). Strong knowledge of statistical analysis, predictive modelling, and deep learning. Experience working with large datasets and distributed computing tools (e.g., Spark, Dask). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications: Experience with deep learning, NLP, or computer vision. Knowledge of distributed systems and big data tools (e.g., Spark, Kafka, Hadoop). Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow). Experience with model interpretability and explainability techniques. Contributions to open-source AI/ML projects or research publications.

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a Senior R&D Infrastructure and Data Engineer at Barclays, you will play a crucial role in driving innovation and excellence in the evolution of the digital landscape. Specifically, you will be an integral part of the Cyber Fraud Fusion Centre, where you will be responsible for delivering scalable CFFC services to disrupt and prevent upstream economic crime. To excel in this role, you should have experience working as a cloud engineer in a global organization, with a diverse range of architecture expertise including deployment of GUI applications, data transformation, automation, and data storage solutions. Additionally, you should possess the ability to coach software and data engineers to deliver complex projects under consistent delivery processes such as CI/CD. Your proficiency in AWS Cloud technology, including management and governance tools like Lambda, Auto Scaling, VPC, EC2, KMS, IAM, CloudFormation, CloudWatch, S3, RDS, Glue, Athena, Lake Formation, and Redshift, along with knowledge in Databricks and Snowflake, will be essential. Experience in supporting analytics use cases from ML Ops and data hydration perspective will also be valuable. In this role, you will be expected to drive projects technically to completion, identify risks, costs, challenge architecture, and ensure long-term sustainability. Your understanding of different project methodologies, lifecycles, major phases, dependencies, milestones, and required documentation needs will be crucial in collaborating across teams to deliver complex systems and components while managing stakeholders" expectations effectively. Some other highly valued skills for this role may include experience in ML Ops on both on-prem and cloud platforms, knowledge of the latest social engineering tactics used by cybercriminals, expertise in processing real-time events data at scale, practical understanding of full-stack web development, and experience working in a fraud technology function. As a successful candidate, you may be assessed on critical skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills. The role can be based in Pune. Your primary purpose in this role will be to build and maintain systems that collect, store, process, and analyze data, including data pipelines, data warehouses, and data lakes, to ensure accuracy, accessibility, and security of all data. Key responsibilities will include building and maintaining data architecture pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to build and deploy machine learning models. As an Assistant Vice President, you will be expected to consult on complex issues, provide advice to People Leaders, identify ways to mitigate risk, take ownership for managing risk, collaborate with other areas of work, engage in complex data analysis, communicate complex information, and influence stakeholders to achieve outcomes. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Wipro Limited is a leading technology services and consulting company dedicated to providing innovative solutions for clients" complex digital transformation needs. With a holistic portfolio of consulting, design, engineering, and operations capabilities, Wipro helps clients achieve their boldest ambitions and develop future-ready, sustainable businesses. With a global presence of over 230,000 employees and business partners in 65 countries, Wipro is committed to helping customers, colleagues, and communities thrive in a constantly changing world. The role's primary purpose is to define, architect, and lead the delivery of machine learning and AI solutions. Key responsibilities include: 1. Demand Generation: - Support in solution development and go-to-market strategy - Collaborate with sales, pre-sales, and consulting teams to create solutions for proactive demand generation - Contribute to the development of solutions and proof of concepts aligned with key offerings - Collaborate with educational institutions for recruitment and joint research initiatives 2. Revenue Generation through ML Solutions: - Develop machine learning and deep learning models for decision augmentation and automation - Collaborate with ML engineers, data engineers, and IT for evaluating deployment options - Integrate model performance management tools into the existing business infrastructure 3. Team Management: - Support recruitment processes to onboard the right resources - Provide onboarding and training for team members to enhance capabilities - Manage team attrition and conduct timely performance reviews - Lead engagement initiatives to drive team satisfaction Performance Parameters: 1. Demand Generation - Measure: Order booking 2. Revenue Generation - Measure: Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management - Measure: % trained on new skills, team attrition % Mandatory Skills: ML Ops Experience: 5-8 Years Join Wipro, a company committed to reinventing itself and empowering employees to design their own reinvention. Be part of a business powered by purpose and ambition. Applications from individuals with disabilities are welcome.,