9537 Tensorflow Jobs - Page 6

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery. In project management at PwC, you will oversee and coordinate various projects to facilitate successful delivery within budget and timeline. You will leverage strong organisational and communication skills to effectively manage teams and stakeholders. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions *Responsibilities: • Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. • Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. • Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. • Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. • Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. • Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. • Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. • Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. • Conduct workshops and training sessions to promote AI literacy and best practices within the organization. • Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. *Mandatory skill sets • Proven experience as an AI Architect or similar role, with a focus on SAP environments. • Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. • Strong programming skills in languages such as Python, Java, or R. • Excellent problem-solving skills and the ability to work effectively in a collaborative environment. • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. *Preferred skill sets • Experience with natural language processing (NLP) and computer vision applications within SAP environments. • Familiarity with data visualization tools and techniques. • Experience in agile development methodologies. *Years of experience required • 15-25 Yrs experience *Education Qualification • BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion.

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As Wholesale Credit Portfolio Analytics Analyst in Wholesale Credit Portfolio Analytics team, you will be responsible for creating valuable risk analytics solutions using advanced analytical frameworks and the firm's big data resources. The focus will be on leveraging data to improve the End-to-End credit risk process across the wholesale portfolio. Additionally, the role involves clearly and concisely communicating findings and insights to stakeholders. As part of Risk Management, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job Responsibilities Develop and maintain credit risk rating methodologies, tools, and frameworks to improve risk management processes, including counterparty rating models, exposure management, and credit approvals. Collaborate with internal model review and controls teams to ensure new methodologies are approved and compliant. Use data science techniques to derive insights and communicate findings. Contribute to generating new ideas to address both ad hoc and strategic projects. Present findings and recommendations to senior management through presentations Required Qualifications, Skills And Capabilities Relevant analytics, model/methodology development or credit risk experience Self-starter with creative problem-solving skills. Ideal candidates have experience in quantitative method development and data analysis and are comfortable discovering and communicating ideas through data. Degree in analytical field preferred (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Experience with modern analytic and data tools, particularly Python/Anaconda and/or R, Tensorflow and/or Keras/PyTorch, Spark, or SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required. Desire to use modern technologies as a disruptive influence within Banking ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Location : Remote (India-based preferred) Type : Internship (3–6 months) | Stipend: Yes Start Date : Immediate About HoGo Fresh HoGo Fresh is a mission-driven agri-tech company transforming the way food moves from farms to consumers. We leverage technology to create clean, transparent, and climate-resilient supply chains—empowering farmers while reducing food waste. Role Overview We are looking for a curious and analytical Data Analyst Intern who’s not only comfortable working with data—but also understands how data feeds into AI/ML models . This internship offers hands-on experience with real-world datasets from agriculture, supply chain, and customer behavior—all in a fast-paced, impact-driven environment. Responsibilities Collect, clean, and analyze structured and unstructured data from various sources (farm, logistics, consumer apps). Build visual dashboards and basic data pipelines using Excel, SQL, or Python tools (e.g., Pandas, NumPy). Assist the AI team in preparing datasets for training and evaluation of ML models (e.g., yield prediction, pricing, routing). Collaborate with tech, R&D, and operations teams to identify data-driven insights. Document findings and create presentations to support product or business decisions. You Should Have Pursuing or completed a degree in Data Science, Statistics, Computer Science, Agriculture Informatics, or a related field. Proficiency in Excel and at least one of: Python, R, or SQL. Understanding of data preparation for AI/ML models (e.g., feature selection, labeling, preprocessing). Strong analytical thinking, attention to detail, and ability to interpret trends and patterns. Bonus: Familiarity with visualization tools (Power BI, Tableau, Google Data Studio) or ML libraries (scikit-learn, TensorFlow). What You’ll Gain Exposure to real agri-tech data challenges at scale Mentorship in AI data workflows, model prep, and business intelligence Opportunity to collaborate cross-functionally in a purpose-driven startup Potential for a Pre-Placement Offer (PPO) based on performance Comprehensive health and wellness benefits tailored to interns, such as free webinars and consultations with industry professionals. Access to a vast network of agricultural and technological entrepreneurs for guidance on career planning. Monthly learning workshops focusing on leadership, innovation, and applied technologies in agri-supply chains. Skills: data cleaning,data analysis,data visualization,python,datasets,analytical thinking,attention to detail,data,supply,agriculture,sql,excel,models

We are seeking highly skilled and motivated AI Engineers with Strong Python experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. About the Role As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Responsibilities Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Qualifications Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus. Required Skills Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Experience Level: 3–7 years, only Work from Office (Chennai location)

What You'll Do Avalara is an AI-first company. We expect every engineer, manager, and leader to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows, decision-making, and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. We are seeking an experienced and experienced AI & Machine Learning Technical Manager to lead our dynamic team in developing cutting-edge AI & ML solutions. This role is perfect for someone passionate about applying AI and ML, promote innovation, and create impactful products. You will be responsible for our AI systems (conversational agents, tax code classification for products and services, document intelligence, etc.) and how we apply them at Avalara to simplify and scale tax compliance across our entire portfolio of products. As an important part of our leadership team, you will shape the future of our AI & ML projects, manage a talented team of AI professionals, and collaborate with teams to implement projects. We offer the chance to work on pioneering AI technologies and mentor a team of experts, and contribute to the strategic direction of our AI & ML endeavors. This role will report to Sr Director of AI & ML. What Your Responsibilities Will Be Lead and manage a team of AI&ML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery. Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay up to date with the latest AI&ML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage. Develop our AI&ML strategy, aligning with our objectives, and ensuring the team's projects support this vision. Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving. Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization. What You’ll Need To Be Successful What You'll Need to be Successful Specific Qualifications Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience building and deploying to production APIs powered by AI & Machine Learning systems. Proficiency in programming languages relevant to AI & ML, such as Python, R, Java, Scala, C++ and familiarity with AI & ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI & ML solutions. Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools. : General Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning. 9 years of experience in AI & ML with at least 6 years in a management position, overseeing technical teams. Translate complex technical concepts and challenges into clear strategic plans and applicable solutions. People management skills, with experience mentoring and developing teams. Excellent project management skills, with experience in agile methodologies How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

What You'll Do Avalara is an AI-first company. We expect every employee to actively leverage AI to enhance productivity, quality, innovation, and customer value. AI is embedded in our workflows and products — and success at Avalara requires embracing AI as an essential capability, not an optional tool. As an AI/ML Technical Product Owner at Avalara, you will lead the development and integration of cutting-edge AI and Machine Learning solutions into our suite of tax compliance products. You’ll collaborate closely with cross-functional teams, including Product managers, ML Engineers, Software Development Engineers, Content Researchers and designers, to conceptualize, build, and deploy models that drive significant business impact. Your role will involve translating complex technical concepts into strategic product initiatives, ensuring the successful execution of these initiatives from brainstorming to deployment. You will report to Director of Engineering. What Your Responsibilities Will Be Product strategy and vision Define and drive the vision, strategy, and roadmap for AI & ML products, aligning them with Avalara’s overall business goals and customer needs. Identify new AI & ML opportunities by staying updated on industry trends, competitive landscape, and emerging technologies. Communicate product vision and strategy to stakeholders, including executives, engineering teams, and customers.Cross-functional leadership Collaborate with data scientists, engineers, and designers to define, prioritize, and execute AI/ML product initiatives. Work closely with engineering teams to translate product requirements into technical specifications and ensure delivery of high-quality features.Product development and execution Oversee the end-to-end product development lifecycle, from ideation and prototyping to testing, deployment, and iteration. Manage the backlog, prioritizing features and improvements based on customer feedback, market research, and business impact. Ensure the AI & ML models are properly integrated into products, focusing on scalability, performance, continuous improvementData-driven decision making Use data to inform product decisions, leveraging metrics, user feedback, and A/B testing to guide development priorities. Monitor the performance of AI & ML models and products post-launch, using analytics to identify areas for improvement and optimization.Stakeholder communication and reporting Present product updates, milestones, and performance metrics to executive leadership and other stakeholders. Facilitate regular meetings with cross-functional teams to ensure alignment and address any challenges or roadblocks. Prepare detailed reports on the progress of AI & ML initiatives, including successes, challenges, and next steps.Ethical AI considerations Ensure that AI & ML products adhere to ethical guidelines and industry best practices, including fairness, transparency, and data privacy. Advocate for responsible AI practices within the organization, ensuring that models and data usage align with legal and ethical standards.Customer and market insights Engage with customers, users, and industry experts to gather insights on market needs and pain points. Use these insights to inform product features and improvements, ensuring that the AI & ML products deliver real value to end users. What You’ll Need To Be Successful Educational Background: Bachelor's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Advanced degrees or certifications in AI & ML Product Management Experience: Experience of managing AI/ML products from conception to launch for at least 8 years, including experience with roadmaps, prioritization, and stakeholder management. Envisage new products from the perspective of the end user in B2B and B2C contexts. Technical Skills: Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow), programming languages (e.g., Python, R, C++), and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with data engineering pipelines, model deployment, and MLOps. This is a remote position. How We’ll Take Care Of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

Principal Data Scientist Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead/Architect is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

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.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Role OverviewThe AI Scientist is a technical role responsible for the development of advanced AI components, models and systems. With 4+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, development of enterprise-grade implementation across ML, NLP, Deep Learning, Generative AI, and multi-modal based models applications. The individual is expected to contribute to execute on AI solutions initiatives..Responsibilities1. Generative & Agentic AI· Develop GenAI models/solutions for text generation and content automation. Experience of working at any of the latest AI stacks like Nvidia- Nemo, NIM Microservices, Pytorch, Tensorflow etc.2. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, UnSloth etc frameworks· Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components· Experience in developing NLP components like QnA, chatbots, Summarization etc. Experience in developing deep learning components like Image/Video/Audio processing/classification, OCR based components like Extraction etc.Skills1. Experience in any one Python/Java/R/.Net software languages.2. Experience in any three - Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Good to have experience in MLOps and AI deployment infrastructure.4. Good to have experience in AWS/Azure/Google Cloud Services(anyone).Qualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 4+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain. Qualifications B. Tech. + M.B.A.

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Ahmedabad) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Attri) What do you need for this opportunity? Must have skills required: Azure, Docker, TensorFlow, Python, Shell Scripting Attri is Looking for: About Attri Attri is an AI organization that helps businesses initiate and accelerate their AI efforts. We offer the industry’s first end-to-end enterprise machine learning platform, empowering teams to focus on ML development rather than infrastructure. From ideation to execution, our global team of AI experts supports organizations in building scalable, state-of-the-art ML solutions. Our mission is to redefine businesses by harnessing cutting-edge technology and a unique, value-driven approach. With team members across continents, we celebrate diversity, curiosity, and innovation. We’re now looking for a Senior DevOps Engineer to join our fast-growing, remote-first team. If you're passionate about automation, scalable cloud systems, and supporting high-impact AI workloads, we’d love to connect. What You'll Do (Responsibilities): Design, implement, and manage scalable, secure, and high-performance cloud-native infrastructure across Azure. Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation. Develop event-driven and serverless architectures using AWS Lambda, SQS, and SAM. Architect and manage containerized applications using Docker, Kubernetes, ECR, ECS, or AKS. Establish and optimize CI/CD pipelines using GitHub Actions, Jenkins, AWS CodeBuild & CodePipeline. Set up and manage monitoring, logging, and alerting using Prometheus + Grafana, Datadog, and centralized logging systems. Collaborate with ML Engineers and Data Engineers to support MLOps pipelines (Airflow, ML Pipelines) and Bedrock with Tensorflow or PyTorch. Implement and optimize ETL/data streaming pipelines using Kafka, EventBridge, and Event Hubs. Automate operations and system tasks using Python and Bash, along with Cloud CLIs and SDKs. Secure infrastructure using IAM/RBAC and follow best practices in secrets management and access control. Manage DNS and networking configurations using Cloudflare, VPC, and PrivateLink. Lead architecture implementation for scalable and secure systems, aligning with business and AI solution needs. Conduct cost optimization through budgeting, alerts, tagging, right-sizing resources, and leveraging spot instances. Contribute to backend development in Python (Web Frameworks), REST/Socket and gRPC design, and testing (unit/integration). Participate in incident response, performance tuning, and continuous system improvement. Good to Have: Hands-on experience with ML lifecycle tools like MLflow and Kubeflow Previous involvement in production-grade AI/ML projects or data-intensive systems Startup or high-growth tech company experience Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of hands-on experience in a DevOps, SRE, or Cloud Infrastructure role. Proven expertise in multi-cloud environments (AWS, Azure, GCP) and modern DevOps tooling. Strong communication and collaboration skills to work across engineering, data science, and product teams. Benefits: Competitive Salary 💸 Support for continual learning (free books and online courses) 📚 Leveling Up Opportunities 🌱 Diverse team environment 🌍 How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

Location: On-site Only (Mohali) Experience Required: 4 - 5 Years Education: Bachelor’s Degree in Computer Science, Software Engineering, AI/ML, or related field Job Overview: We are seeking an experienced Python AI Developer to join our dynamic team working on a ride-booking mobile application. You will play a critical role in developing backend APIs, implementing AI models to detect human activity and behavior, and contributing to scalable system architecture. Primary Responsibilities: Design, develop, and maintain scalable Python APIs for a ride-booking app using FastAPI or Flask. Integrate AI/ML models that detect human activity patterns, emotional behavior, and real-time user response analysis. Experience with Natural Language Processing (NLP) Build and maintain services that handle ride matching, fare estimation, real-time tracking, user analytics, and driver behavior monitoring. Work closely with front-end/mobile developers, product managers, and DevOps teams to create seamless end-to-end functionality. Analyze customer and driver data to improve matching algorithms, reduce wait times, and enhance the ride experience. Implement and optimize machine learning algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, etc. Develop pipelines to handle data ingestion, cleaning, labeling, and model training for real-time analysis. Ensure robust database integration using PostgreSQL, MongoDB, or similar DBs. Write unit and integration tests to ensure code quality and maintainability. Key Skills & Requirements : 4-5 years of backend development experience using Python. Strong experience with FastAPI or Flask. Solid understanding of data structures, algorithms, and RESTful APIs. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Experience building and deploying AI/ML models for human activity recognition (HAR) or sentiment/emotion analysis. Hands-on experience with OpenCV, TensorFlow, PyTorch, scikit-learn, or similar ML/DL frameworks. Familiar with CI/CD pipelines, Docker, Kubernetes, and version control (Git). Strong grasp of Object-Oriented Programming (OOP) and software design principles. Strong debugging and optimization skills. Bonus Skills: Experience in emotion recognition, facial expression analysis, gaze tracking, or gesture detection. Experience integrating third-party AI/ML APIs (e.g., OpenAI, AWS Rekognition, Azure AI). Familiarity with Kafka, RabbitMQ, or similar message brokers. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with mobile app infrastructure (Android/iOS) and ride-sharing architecture. Experience in building scalable microservices architecture. Why Join Us? Build a next-gen ride-booking platform to compete with global leaders. Work with a passionate, fast-paced startup team focused on innovation. Use AI to bring real impact to how people move, interact, and experience services. Opportunities to lead AI initiatives and grow your career in a product-first company. Apply Now If you’re excited about building future-ready ride solutions and passionate about AI-driven human behavior analysis, we’d love to hear from you!

About the Role: We are looking for an experienced and highly skilled Software Development Engineer (SDE) with 4-5 years of experience who will work along with Genworx team. This role involves contributing to the development of cutting-edge generative AI applications and systems, integrating advanced machine learning models, and ensuring high standards in design, implementation, and deployment. Key Responsibilities: Problem Solving and Design: Propose and implement scalable, efficient solutions tailored to real-world use cases Software Development: Develop both front-end and back-end components (full stack) for generative AI applications. Debug and resolve systemic issues in a timely manner. Generative AI Development: Integrate pre-trained models, including large language models (LLMs). Optimize AI solutions for performance, scalability, and reliability. Leverage generative AI frameworks and technologies CI/CD and DevOps Practices: Build and maintain CI/CD pipelines for seamless deployment of AI-driven applications. Implement DevOps best practices to ensure efficient and secure operations. Operational Excellence: Maintain high standards of performance, security, and scalability in design and implementation. Document technical workflows and ensure adherence to operational guidelines. Team Collaboration and Mentorship: Work closely with cross-functional teams, including product managers, ML engineers, and designers, to deliver high-quality solutions. Participate in code reviews, brainstorming sessions, and team discussions. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Technical Skills: Proficiency in front-end technologies: HTML, CSS, JavaScript (React, Angular, or Vue.js). Proficiency in back-end technologies: Node.js, Python, or Java. Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI). Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Attributes: Strong problem-solving and system design skills. Ability to mentor team members and collaborate effectively in a team environment. Excellent communication skills for explaining technical concepts. Cloud / Infrastructure: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization tools (Docker, Kubernates) and infrastructure as code (Terraform, CloudFormation). Benefits What We Offer: A vibrant and innovative work environment focused on generative AI solutions. Competitive salary and benefits package tailored for mid-level engineers. Opportunities to work on state-of-the-art AI projects with industry experts. A culture that values creativity, collaboration, and continuous learning

About Apna: Apna is India's largest jobs and professional networking platform for frontline workers. We're building the infrastructure to power hiring, skill-building, and career growth for 300 million+ working Indians. As we expand our AI-first platform across voice, text, and multimodal workflows — we're looking for a bold and curious AI Data Scientist who wants to shape the future of applied Gen AI. Requirement: 1 Location: Bengaluru (Work from Office - Domlur) Team: AI & Machine Learning Experience: 3-5 years Requirements What You'll do: Fine-tune and deploy LLMs, TTS, STT, and voice models for use in real-time conversations with millions of users Convert unstructured, messy real-world audio/text data into clean, high-quality datasets for training and evaluation Build inference pipelines optimized for low-latency, high-accuracy voice agents and multimodal interfaces Work closely with infra and product teams to ship production-grade GenAI models with observability, fallback, and monitoring Experiment with GANs, diffusion models, audio generation, and multimodal fusion to power next-gen AI agents Own the full model lifecycle — from research and training to deployment, testing, and iteration. What we're Looking for: 3-5 years of hands-on experience in AI / ML roles, ideally in startups or product-driven teams. Strong grasp of LLM fine-tuning, instruction tuning, or pretraining techniques Familiarity with TTS/STT systems, Whisper, Tacotron, VITS, or commercial tools like ElevenLabs Experience with multimodal architectures, generative audio, GANs, or diffusion-based models Ability to work with real-world messy data, design training pipelines, and debug model failure modes Fluency in frameworks like PyTorch, HuggingFace, TensorFlow, and ecosystem tools (ONNX, Triton, LangChain, etc.) Passion for building high-impact AI features that ship to real customers Benefits Why Join Us: Work at the cutting edge of LLMs, voice AI, and generative models — and ship real products, not just prototypes Directly impact millions of users by powering AI agents that help with hiring, learning, and career growth Collaborate with a world-class team of AI engineers, researchers, and product minds who move fast and ship boldly Freedom to explore: Own experiments, propose architecture, or contribute to foundational model training Startup speed, enterprise scale — best of both worlds. Rapid iteration and direct customer feedback Multilingual India - first problems that push the boundaries of speech, reasoning, and personalization

Description We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About The Team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Basic Qualifications Experience building machine learning models or developing algorithms for business application Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. Excellent communication and collaboration skills to effectively work with cross-functional teams. Preferred Qualifications Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3029465

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International’s Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott’s digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents implement existing machine learning models and algorithms to detect anomalies and potential security breaches Support SDL tools (e.g., big data, ML/AI technologies) Create data visualizations and reports to communicate insights to stakeholders Collaborate with cybersecurity teams to implement data-driven security solutions Stay up to date with the latest cyber threats and data science techniques Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R) Experience with machine learning algorithms and frameworks as well as AI techniques Knowledge of cybersecurity principles, tools, and best practices Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies Understanding of data visualization tools like Power BI Preferred: Programming languages: Python, R, SQL Machine learning frameworks: TensorFlow, PyTorch, scikit-learn Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Data visualization tools: Tableau, Power BI Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

Role: Data Scientist Experience Level: • Senior level, with 7+ years of data science experience, including machine learning learning, AI training, and healthcare or 3D modelling projects. Project / Contract Duration: 6+ Months fixed contract. Budget: 1.5 - 2 Lakhs / Month fixed Develop ML models for prosthesis fit optimisation and outcome predictions. Design algorithms and train AI engines for clinical and 3D data processing. Work on AI modelling, simulation-based learning, and advanced analytics. Required Skills: • Python (PyTorch, TensorFlow, Scikit-learn) • Machine Learning and AI model training • Algorithm development for 3D data and clinical insights • 3D data processing (Point Clouds, Open3D) • Statistical Shape Modelling (SSM) • SQL/NoSQL database management

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

Senior DevOps Engineer Experience: 4 - 7 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Onsite (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Azure OR Docker, TensorFlow, Python OR Shell Scripting Attri (One of Uplers' Clients) is Looking for: Senior DevOps Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. What You'll Do (Responsibilities): Design, implement, and manage scalable, secure, and high-performance cloud-native infrastructure across Azure. Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation. Develop event-driven and serverless architectures using AWS Lambda, SQS, and SAM. Architect and manage containerized applications using Docker, Kubernetes, ECR, ECS, or AKS. Establish and optimize CI/CD pipelines using GitHub Actions, Jenkins, AWS CodeBuild & CodePipeline. Set up and manage monitoring, logging, and alerting using Prometheus + Grafana, Datadog, and centralized logging systems. Collaborate with ML Engineers and Data Engineers to support MLOps pipelines (Airflow, ML Pipelines) and Bedrock with Tensorflow or PyTorch. Implement and optimize ETL/data streaming pipelines using Kafka, EventBridge, and Event Hubs. Automate operations and system tasks using Python and Bash, along with Cloud CLIs and SDKs. Secure infrastructure using IAM/RBAC and follow best practices in secrets management and access control. Manage DNS and networking configurations using Cloudflare, VPC, and PrivateLink. Lead architecture implementation for scalable and secure systems, aligning with business and AI solution needs. Conduct cost optimization through budgeting, alerts, tagging, right-sizing resources, and leveraging spot instances. Contribute to backend development in Python (Web Frameworks), REST/Socket and gRPC design, and testing (unit/integration). Participate in incident response, performance tuning, and continuous system improvement. Good to Have: Hands-on experience with ML lifecycle tools like MLflow and Kubeflow Previous involvement in production-grade AI/ML projects or data-intensive systems Startup or high-growth tech company experience Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of hands-on experience in a DevOps, SRE, or Cloud Infrastructure role. Proven expertise in multi-cloud environments (AWS, Azure, GCP) and modern DevOps tooling. Strong communication and collaboration skills to work across engineering, data science, and product teams. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in data science and big data technologies. Requirements: Minimum 6 years of experience as a Data Scientist Required. Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git).

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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.