1197 Aiml Jobs - Page 24

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 8 -15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

We are looking for a sr Engineer - AI/ML, with 5+ yrs of experience Responsibilities: * Develop AI/ML models using Python & ML algorithms * Collaborate with cross-functional teams on project delivery * Implement NLP techniques for text analysis Food allowance Health insurance Provident fund

Role & responsibilities Conduct expert technical lectures and hands-on sessions at NextGen campuses across India. Support in syllabus design, content development, and learning resource creation for multiple computer science domains. Manage and update Learning Management System (LMS) content regularly. Collaborate on intervention planning, student learning tracking, and outcome improvement. Participate in faculty training, hackathons, bootcamps, and review sessions. Stay up-to-date with new-age technologies such as AI/ML, Cloud, Cybersecurity, LLMs, and Full Stack Development. Preferred candidate profile Strong command over at least two of the following: AI/ML, Data Science, Cloud Computing, Cybersecurity, LLMs, or Full Stack Development. Hands-on experience with tools like Python, Git, Linux, Jupyter, cloud platforms (AWS/GCP), and version-controlled content. Excellent communication and presentation skills. Prior experience with LMS platforms and outcome tracking tools will be an advantage. Passionate about teaching and mentoring students in next-gen technologies.

Role & responsibilities Lead the design, development, and optimization of scalable Python-based applications. Collaborate with cross-functional teams to define software architecture and system requirements. Architect, develop, and deploy APIs, microservices, and backend components. Mentor and guide junior developers through code reviews and technical best practices. Build integrations with cloud-native services (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes). Collaborate with front-end teams to enable seamless integration with backend services. Develop test plans, write unit tests, and ensure code quality and scalability. Leverage knowledge of AI/ML, data structures, algorithms, and design patterns to solve complex problems efficiently. Preferred candidate profile inimum 10+ years of professional experience in Python development. Experience of leading a team of 3-4 people for last 2 years Hands-on experience in building Python applications, executing them for production, and maintaining them in a live environment actively. Proficiency in Python frameworks like Django, Flask, or FastAPI. Strong knowledge of RESTful API design and integration. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps tools. Understanding microservices architecture and containerization. Excellent problem-solving and debugging skills. Strong communication and leadership abilities. Exposure to Agile development methodologies such as Scrum or Kanban. Experience working in enterprise-grade systems or platforms. Preferable : Knowledge or hands-on experience with AI/ML or GenAI. Familiarity with automation platforms and orchestration engines. Experience in integrating third-party APIs and services

You are passionate about designing new technologies, optimizing digital experiences, and continuously developing faster and better ways to achieve results. You seek to be part of a performance-driven culture dedicated to creating technology with a meaningful purpose. Working in an environment that values sustainability, inclusion, well-being, and career growth is important to you. As part of the Logistics & WMS Lead Supply Chain role, you will be instrumental in delivering DTS capabilities and products to support the business operations of the IFP Segment in collaboration with Global Digital Supply Chain & Logistics Platform teams. Your main responsibilities will include supporting the IFP Segment by leveraging value from global Enterprise, Supply Chain, and Logistics Applications/Platforms such as SAP eWM, Transport Management, and ERP Core Systems. You will play a key role in strategy deployment, ensuring execution throughout the year, managing the vision and strategy execution through analysis, and providing recommendations on the project portfolio and budget. Employing continuous improvement and agile methodology, you will establish standards and visual metrics for the leadership team. As a key leader in this position, you will collaborate with business strategies and capabilities to enhance operational performance and drive revenue growth. Your focus will be on ensuring effective operation and advancement of Logistics/Warehousing and Customer Deployment within the IFP Segment. Reporting directly to the Director of Supply Chain, Manufacturing & Finance, you will be responsible for co-creating and executing the IT Logistics Strategy for the IFP Segment, transforming the logistics environment, and partnering with IFP Sector Leaders to standardize processes and develop data-driven strategies. You will strive to prioritize common solutions over unique ones, drive an Agile/Product Owner process within Logistics, define and measure value, cost, and alignment to strategy, standardize business processes, automate manual work, manage data and technology, seek innovation and value through technology and process change, ensure security, privacy, and compliance are integrated into all activities, focus on successful adoption of processes and technology changes, invest in analytics for consumer understanding in Logistics Operations, leverage AI/ML to improve working capital, and implement solutions to enhance customer service and reduce costs. As a part of the Kimberly-Clark team, you will be contributing to a legacy of market leadership built on over 150 years of innovation and excellence. You will be part of a culture that values performance, sustainability, inclusion, well-being, and career development. To excel in this role, you should have 7-10 years of experience in strategic impact and technology delivery within Digital Supply Chain and Logistics operations, preferably in the CPG industry. You should demonstrate exceptional relationship-building skills, experience in application delivery, client relationship management, and an understanding of business benefits. To be considered for this role, click the Apply button and complete the online application process. Your application will be reviewed by the recruiting team, and they will follow up if you are deemed a suitable fit for the position.,

As a highly experienced and motivated Backend Solution Architect, you will be responsible for leading the design and implementation of robust, scalable, and secure backend systems. Your expertise in Node.js and exposure to Python will be crucial in architecting end-to-end backend solutions using microservices and serverless frameworks. You will play a key role in ensuring scalability, maintainability, and security, while also driving innovation through the integration of emerging technologies like AI/ML. Your primary responsibilities will include designing and optimizing backend architecture, managing AWS-based cloud solutions, integrating AI/ML components, containerizing applications, setting up CI/CD pipelines, designing and optimizing databases, implementing security best practices, developing APIs, monitoring system performance, and providing technical leadership and collaboration with cross-functional teams. To be successful in this role, you should have at least 8 years of backend development experience with a minimum of 4 years as a Solution/Technical Architect. Your expertise in Node.js, AWS services, microservices, event-driven architectures, Docker, Kubernetes, CI/CD pipelines, authentication/authorization mechanisms, and API development will be critical. Additionally, hands-on experience with AI/ML workflows, React, Next.js, Angular, and AWS Solution Architect Certification will be advantageous. At TechAhead, a global digital transformation company, you will have the opportunity to work on cutting-edge AI-first product design thinking and bespoke development solutions. By joining our team, you will contribute to shaping the future of digital innovation worldwide and driving impactful results with advanced AI tools and strategies.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops, and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this position. **Required Skills:** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities:** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in the pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background:** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

As a Senior Developer Relations Engineer at Google, you will play a crucial role in collaborating with AI/ML cross-functional teams to manage product engagement and identify user needs. Your primary responsibility will involve working closely with the Android Developer Relations team, partnering with Android Product and Engineering teams, and CoreML teams to enhance AI/ML offerings. Passionate about technology and community engagement, you will have the opportunity to connect with developers who share the same enthusiasm for technology as you do. Your role will be a blend of community manager and developer advocate, where you will interact with developers at conferences, online platforms, and internal Google teams to advocate for developers" interests. With your technical expertise in coding languages such as Java, Kotlin, or similar mobile app development languages, you will drive strategies to foster a strong community of developers working with Google technologies. An essential aspect of your role will involve representing developers" voices internally to Product Managers, providing support in application development, and contributing to technology implementation. In addition to engaging with developers, you will also be involved in writing sample code, developing client libraries, and participating in developer forums to troubleshoot and debug coding issues. Your feedback on products and programs will be valuable in improving Google's offerings, and you will play a key role in supporting conferences and events to gain insights on user experience and emerging technologies. As part of the Android team, you will contribute to bringing AI/ML models on-device, advocating for Google APIs and best practices. Your collaboration with cross-functional teams will be instrumental in enhancing product engagement and addressing developers" pain points effectively. Join us in empowering developers worldwide and making computing accessible to everyone through innovative technology solutions.,

As a Tech Recruitment Specialist, you will play a crucial role in assisting diverse clients in building their exceptional technical teams specializing in areas such as Data Science, Cloud, AI/ML, Blockchain, Digital, Product Engineering, and Embedded Technologies. Your primary responsibilities will include managing client relationships, understanding their requirements, and ensuring high-quality and timely delivery to exceed customer expectations. You should leverage your extensive industry network to source profiles through unconventional recruitment channels. To excel in this role, you must possess a deep understanding of the latest technology hiring trends and demonstrate a successful track record in overseeing the complete recruiting lifecycle. This involves developing client relationships, establishing a candidate pipeline, and effectively managing the end-to-end recruitment process using various job portals. Your proficiency in tracking key recruitment metrics, coupled with strong analytical, reporting, and presentation abilities, will be instrumental in your success. We are looking for a self-motivated individual with a passion for surpassing quality benchmarks and a proactive approach to tasks. Exceptional interpersonal, verbal, and written communication skills are essential for engaging with clients, candidates, and stakeholders effectively. If you are someone who thrives in a dynamic and fast-paced environment and is dedicated to delivering outstanding recruitment solutions, we invite you to join our team and make a significant impact in the tech recruitment domain.,

You will be joining our team as an experienced UVM and GenAI Engineer, focusing on developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. Your responsibilities will include collaborating with design and verification teams, implementing Generative AI algorithms, designing UVM-based testbenches, and integrating AI-generated testbenches into the verification flow. You will also be required to stay updated with the latest developments in UVM, GenAI, and digital design verification, participate in code reviews, and contribute to enhancing the team's verification methodologies. To qualify for this role, you should hold a Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field, along with at least 6 years of experience in digital design verification with a focus on UVM-based testbenches. Proficiency in UVM, SystemVerilog, digital design principles, AI/ML frameworks, programming languages like Python, C++, and systemVerilog, as well as experience with version control systems like Git, are essential. Strong problem-solving skills and the ability to work both independently and collaboratively are also key requirements. It would be advantageous if you have experience with Generative AI algorithms, digital design languages such as VHDL or Verilog, cloud-based AI platforms like AWS SageMaker or Google Cloud AI Platform, and Agile development methodologies. In return, we offer a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology and digital design verification, a collaborative work environment, professional development opportunities, and flexible working hours with remote work options. If you are a motivated individual with a passion for UVM, GenAI, and digital design verification, we encourage you to submit your resume and a cover letter detailing why you are the perfect fit for this role.,

Job Description Are you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact You Will Have In This Role Being a member of the Enterprise Data Team you will be part of the leadership team in establishing, maturing, and driving the implementation of industry-leading data management practices. The ideal candidate for this position is a self-starter with a strong ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks. Success in this role demands the ability to work in a fast-paced environment and adapt to shifting priorities. Your Primary Responsibilities Leadership Responsibilities Lead the team of Data Steward Analysts and Business Analysts located in the offshore location, including day-to-day staff management Act as point of contact for the offshore data analyst team and liaise regularly with onshore management, and communicate any key updates from the offshore location Produce periodic reports on offshore team activity to management Help with recruiting for open positions in the offshore location, onboarding and training of new hires Data Stewardship & Analysis Responsibilities Work with Product owners and other stakeholders to understand and scope data management deliverables and translate those into user stories for data management team. Independently lead multiple projects through the lifecycle of engagement, execution and closing Collaborate across groups to elicit business requirements, develop and document project plans, identify resource requirements, and estimate effort for assigned projects Lead the team participation in preliminary data analysis for new projects: resolve whether required data exists within DTCC; identify and detail authoritative sources for existing data; define onboarding plans for new data Collaborate with business and operational partners to comprehensively analyze data in order to produce business data element names, document clear and accurate data element descriptions, and identify valid values for the data Lead the collaborative efforts with the data modelers in producing conceptual and logical data models, including entity and attribute names and definitions Utilize the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of initiatives and enterprise-wide data efforts. Lead data quality through data profiling, defining and detailing data quality and data validation rules, performing root cause analysis for identified data quality issues, and leading the data cleansing efforts to ensure that data is fit for its intended use Identify program scaling opportunities and propose both process and tool related scaling solutions; Create business requirements for scaling solutions and work with appropriate stakeholder teams to create execution roadmaps, and track and report progress. Define, track, and report on key metrics for identified use cases Provide analytical and reporting capabilities to support decision making by the business partners Craft and deliver clear and concise high quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience Participate substantially as a key member of several agile squads, as defined by the Data Management CoE ways of working Mitigate risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior Leadership Competencies Inclusive Leadership: Values individuals and embraces diversity by integrating differences and promoting diversity and inclusion across teams and functions. Coaching: Understands and anticipates people's needs, skills, and abilities, in order to coach, motivate and empower them for success. Feedback: Seeks feedback from others, provides feedback to others in support of their development, and is open and honest while dealing constructively with criticism. Delegating: Effectively manages tasks and people, taking a practical approach to determine the most effective method of execution while respecting others expertise and considering others feelings and working styles. Qualifications Minimum 7 years of related experience Bachelor's degree (preferred) or equivalent experience Talents Needed For Success Deep expertise in the latest innovation, technology and solutions with regards to data Deep understanding of data management processes and standard methodologies Familiarity with analytical tools and statistical methods required for AI/ML Self-starter with a solid ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks Excellent writing written and verbal communication skills Excellent analytical and quantitative skills Technical Skills such as ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus Familiarity with business architecture frameworks and concepts highly desirable Experience in banking, capital markets, or financial operations preferred Expertise in connecting different data domains and its impact on the investment process Prior experience working with technology, business teams and operating model changes Exhibits strong understanding of Agile Software Development (primarily Scrum and Kanban) principles and techniques. Understands and uses applicable work management tools (i.e. JIRA) for decision making and collaboration Drives creative and solution-oriented activity with all participants and collaborators About Us DTCC safeguards the financial markets and helps them run efficiently, in times of prosperity and crisis. We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide. From where we stand, we can anticipate the industrys needs and were working to continually improve the worlds most resilient, secure and efficient market infrastructure. Our employees are driven to deliver innovative technologies that improve efficiency, lower cost and bring stability and certainty to the post-trade lifecycle. DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, youll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. Its the chance to make a difference at a company thats truly one of a kind. Learn more about Clearance and Settlement by clicking here . About The Team Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices.,

Sales , BDM (Information Technolgy) Only people with IT Sales Should Apply. Job Title: Sales & Bus Dev Manager - Big Data Services Delhi /NCR Job Summary: Looking for a seasoned sales expert with a proven track record of selling Big Data services into enterprises. Sales expert will help match our technical skills with the requirements of the customers, set up assessment meetings and help with closing the sales. Key Responsibilities: 1. Sales Execution: Develop and implement a strategic sales plan focused on expertise in BI, Data Analytics, Data Engineering and AI/ML. Prepare realistic revenue plans and deliver on the committed revenue numbers. 2. Domain Knowledge: Understanding of Big Data tools and being able to match it with the requirements of the customers. 3. Prospecting: Identify and target organizations in need of advanced Big Data and AI/ML solutions, with a focus on workload and AI/ML pipelines. 4. Solution Presentation: Effectively communicate the unique value proposition of our services, including use of self-developed tools to provide best outcome. 5. Client Engagement: Build and nurture strong relationships with key decision-makers within client organizations who are looking to harness Big Data and AI/ML technologies. 6. Proposal Development: Prepare tailored proposals that showcase how our specialized services can address each client's specific needs. 7. Negotiation and Closing: Skilfully negotiate contracts, pricing, and terms to successfully close deals. 8. Account Management: Continuously engage with existing clients to identify opportunities for upselling and cross-selling specialized solutions. 9. Sales Reporting: Maintain accurate records of sales activities, pipeline, and forecasts using CRM tools. 10. Building and growing sales team: As the sales proliferate, sales expert will help in recruiting and building sales team Qualification - Bachelors degree in engineering, sales, or a related field (Master's degree preferred). - A proven track record of at least 5-7 years in selling services for Big Data, BI, Data Analytics, AI/ML - Good knowledge of Big Data, BI, Data Analytics tools (Power BI, Azure Synapse, AWS EMR, Spark, Hadoop etc.) - Exceptional communication, negotiation, and presentation skills - Ability to work independently and collaboratively as part of a team - Experience of selling services in at least two of North America, EMEA, APAC, India - Representing in developer/user conferences and visiting customers (globally) Please Write in CTC ECTC NP with CV to alsvidindia@gmail.com 08355934128,

We have an exciting opportunity for an ETL Data Architect position with an AI-ML driven SaaS Solution Product Company in Hyderabad. As an ETL Data Architect, you will play a crucial role in designing and implementing a robust Data Access Layer to provide consistent data access needs to the underlying heterogeneous storage layer. You will also be responsible for developing and enforcing data governance policies to ensure data security, quality, and compliance across all systems. In this role, you will lead the architecture and design of data solutions that leverage the latest tech stack and AWS cloud services. Collaboration with product managers, tech leads, and cross-functional teams will be essential to align data strategy with business objectives. Additionally, you will oversee data performance optimization, scalability, and reliability of data systems while guiding and mentoring team members on data architecture, design, and problem-solving. The ideal candidate should have at least 10 years of experience in data-related roles, with a minimum of 5 years in a senior leadership position overseeing data architecture and infrastructure. A deep background in designing and implementing enterprise-level data infrastructure, preferably in a SaaS environment, is required. Extensive knowledge of data architecture principles, data governance frameworks, security protocols, and performance optimization techniques is essential. Hands-on experience with AWS services such as RDS, Redshift, S3, Glue, Document DB, as well as other services like MongoDB, Snowflake, etc., is highly desirable. Familiarity with big data technologies (e.g., Hadoop, Spark) and modern data warehousing solutions is a plus. Proficiency in at least one programming language (e.g., Node.js, Java, Golang, Python) is a must. Excellent communication skills are crucial in this role, with the ability to translate complex technical concepts to non-technical stakeholders. Proven leadership experience, including team management and cross-functional collaboration, is also required. A Bachelor's degree in computer science, Information Systems, or related field is necessary, with a Master's degree being preferred. Preferred qualifications include experience with Generative AI and Large Language Models (LLMs) and their applications in data solutions, as well as familiarity with financial back-office operations and the FinTech domain. Stay updated on emerging trends in data technology, particularly in AI/ML applications for finance. Industry: IT Services and IT Consulting,

Job Summary The Senior Manager Data Science will be responsible for building and scaling Netsmarts data science capabilities. You will lead the development and deployment of advanced analytics, AI/ML models, and predictive tools to support decision-making across product, clinical, and operational domains. This is a strategic and hands-on leadership role for someone who thrives in both managing teams and shaping technical direction. Key Responsibilities: Provide cross-functional technical leadership, coaching and guidance to leaders across the software development organization. Maximize the capability and capacity of resources to deliver high quality solutions on time and within scope. Accountable for establishing and managing financial budgets Run the business based on operational metrics and status. This includes but is not limited to queue churn, trending, resource utilization, risk assessment and mitigation, project initiatives, and department related data elements Make timely and effective decisions to ensure the team is prepared to deliver solutions on a strategic roadmap not just for the short-term Lead cross-functional change initiatives and develop strategies to support change in engineering processes and strategy Accountable for ensuring the capability and capacity of the team to advance and leverage the latest in programming languages, industry standards and software development methodologies. • Become a trusted advisor for executive leaders across the company. This position may require availability outside of standard business hours as part of a rotational on-call schedule Required Skills: At least 10+ years of professional experience in data science, machine learning, or applied analytics roles. At least 5 years of large, complex project management experience At least 4 years of leading a team of technical staff At least 4 years of experience with full lifecycle development and using Agile methods Deep understanding of statistical modeling, machine learning algorithms, and real-world data applications. Hands-on experience with data science frameworks and cloud platforms (AWS, Azure, GCP). Preferred Skills: • Experience designing, building and operating secure, scalable and highly available web and mobile applications, large-scale distributed systems using service-oriented architecture and message queue architecture in the cloud • Understanding of cloud-based SaaS architectures – involves designing elastic solutions, distributed state, availability, scalability, etc. • Adept in Object Oriented Design • Experience in healthcare, life sciences, or human services domains. • Familiarity with data governance, privacy, HIPAA, or FHIR standards. • Experience in building ML platforms or MLOps workflows. • Strong business acumen with the ability to link data insights to actionable outcomes.

Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Technical Project Mgmt., Implementation and Architecture designing Email id- ta6@nippondata.com

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist 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. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. 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 Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. 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!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist 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. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. 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 Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. 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!

Hi , We are currently hiring for the following exciting opportunities within our organization AIML engineer /Data Scientist with following skills : PythonData ScientistGen AIAIMLDeep learningTensorflowComputer VisionKerasPytorchMachine LearningArtificial Intelligence All roles are Work from Office in Hybrid MOde.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: You will be part of Automotive System Performance team that is responsible for profiling and optimizing the System Performance on Snapdragon Automotive chipsets. Responsibilities include: Drive Performance analysis on silicon using various System and Cores (i.e. CPU, GPU, Memory and AI/ML) benchmarks like Dhrystone, Antutu, GeekBench, GFXBench, SPECInt, ResNet50 etc. Use of Performance tools to analyze the load patterns across IPs and identify any performance bottlenecks in system. Analyzing Performance KPIs of Auto SoC subsystems like CPU, GPU, NSP, Memory, Camera, Display, Video and corelate performance with projection Evaluate and characterize performance at various junction temperatures and optimize running at high ambient temperatures. Analyze and optimize the System performance parameters of SoC infrastructure like NoC, LP5 DDR, etc. Collaborate with cross-functional global teams to plan and execute performance activities on Auto chipsets as well make recommendations for next generation chipsets. Minimum Qualifications 7+ years of industry experience in the following: Experience working on any ARM/x86 based platforms, mobile/automotive operating systems and/or performance profiling tools. Experience in application or driver development in Linux\QNX and ability to create/customize make files with various compiler options is a plus. Must be quick learner and should be able to adapt to new technologies. Must have excellent communication skills. Preferred Qualifications Additional skills in the following areas are preferred: Knowledge of Computer architecture, LP5 DDR, Bus/NOC profiling is a big plus. Fundamentals on any Automotive operating system like AGL/QNX/Hypervisor & experience working on any Automotive applications. Basic Knowledge on any multimedia frameworks like OpenGL/ES, OpenMax and OpenCL is plus. Experience in creating professional quality reports and slides using MSOffice or any advanced visualization tools. Experience in PoC development and competitive analysis Knowledge on Voltage/Power/ Thermal domain is plus. Education RequiredBachelor's, Computer Engineering and/or Computer Science and/or Electrical EngineeringPreferredMaster's, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords Architecture Performance, System Performance, Automotive Performance, Benchmarks, Thermal Performance, UX optimization, QNX, Hypervisor, Application Development Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Role & responsibilities Experience: 0-1 year Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. As an early-career team member, you will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. This role is ideal for someone who has recently completed academic or personal projects and is eager to apply their knowledge to real-world use cases. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

We are Hiring Python Developer. Job Location - Shivajinagar , Pune Role Summary- We are seeking a skilled and motivated Python Engineer (AI & Automation) with 34 years of experience to help drive our AI and intelligent automation initiatives. This role combines core Python development with hands-on implementation of AI-powered solutions and workflow automation. The ideal candidate will have a passion for working on innovative projects, experimenting with large language models (LLMs), and building intelligent business workflows that create tangible impact. Key Responsibilities Develop and maintain Python scripts, modules, and backend logic to support AI, data, and automation projects. Design and build data processing pipelines for cleaning, transforming, and preparing structured and unstructured data. Support the development of AI-powered business applications using LLM frameworks and NLP techniques. Implement and maintain automated business workflows using orchestration and automation platforms. Collaborate with business and IT stakeholders to understand requirements and deliver practical, scalable solutions. Required Skills & Qualifications Bachelors degree in Computer Science, Data Science, or related technical field. 34 years of professional experience in Python development. Strong knowledge of Python data processing libraries (e.g., Pandas, NumPy). Experience with REST APIs and system integrations. Basic understanding of workflow automation and orchestration concepts (or willingness to learn). Basic knowledge of SQL and relational databases. Strong willingness to experiment with new AI tools and frameworks, and ability to quickly learn emerging technologies. *its Monday to saturday working.(Weekly off on sunday) If inetrested kindly reply with your upadte resume

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a passionate and skilled R&D Engineer with a strong background in C++ programming and software design. With your expertise in data structures and algorithms, you can tackle complex problems efficiently and optimize existing solutions. Your proficiency in scripting languages like Python, Shell, and Perl allows you to automate tasks and streamline processes, making you an invaluable asset in a fast-paced development environment. Your experience with ML/AI technologies is essential, as you will be enhancing operations projects with these advanced techniques. You thrive in collaborative settings, working seamlessly with cross-functional teams to develop, maintain, and optimize software solutions. Your solid understanding of Linux environments enables you to troubleshoot and resolve software-related issues effectively. You possess excellent problem-solving and analytical skills, coupled with strong communication and collaboration abilities. You are adaptable and capable of working in a dynamic team environment, always eager to learn and contribute to the team's vision and product success. What Youll Be Doing: * Designing, coding, and testing software components with proficiency in C++ programming. * Creating and maintaining Makefiles, BOM files, and build systems to streamline the software build and deployment process. * Utilizing scripting languages such as Python, Shell, and Perl for automation, testing, and system-level tasks. * Applying ML/AI technologies to enhance operations projects and develop sophisticated algorithms. * Collaborating with cross-functional teams throughout the software development lifecycle, from concept to deployment. * Troubleshooting and resolving software-related issues in a Linux environment. The Impact You Will Have: * Contributing to the development and enhancement of cutting-edge software applications. * Improving the efficiency and reliability of software build and deployment processes. * Automating repetitive tasks and optimizing system-level operations. * Enhancing the capabilities of operations projects with advanced ML/AI technologies. * Ensuring seamless collaboration and communication within cross-functional teams. * Resolving complex software issues and contributing to a robust and reliable software environment. What You’ll Need: * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * 2-6 years of relevant experience in software development and R&D projects. * Strong proficiency in C++ programming and software design. * Experience with data structures and algorithms. * Knowledge of version control systems (Perforce, Git, SVN). * Familiarity with Makefiles and build systems. * Proficiency in scripting languages like Python, Shell, and Perl. * ML/AI experience is essential. * Solid understanding of Linux environments. Who You Are: You are a detail-oriented and innovative thinker with a passion for technology and software development. Your excellent problem-solving skills and analytical mindset allow you to tackle challenges creatively and efficiently. You have strong communication and collaboration abilities, making you an effective team player who can work seamlessly with others. You are adaptable, eager to learn, and driven to contribute to the success of the team and the company. The Team You’ll Be A Part Of: You will be joining a dynamic and innovative R&D team dedicated to developing cutting-edge software solutions. Our team is focused on continuous improvement, leveraging the latest technologies to enhance our products and processes. Collaboration is at the heart of what we do, and we work closely with cross-functional teams to achieve our goals and drive technological advancements.

Role & responsibilities ROS Developer Over all experience: 10-15years Key Responsibilities: Develop ROS-based software for robotic systems. Integrate sensors and actuators using Python and ROS libraries. Work with simulation tools like Gazebo for testing robotic behaviours. Optimize algorithms for motion planning, perception, and control. Debug and troubleshoot ROS nodes and packages. Collaborate with hardware engineers to ensure seamless integration. Skills Required: Proficiency in Python Experience with ROS/ROS2 and its ecosystem. Knowledge of robotics frameworks (Gazebo) Understanding of embedded systems and real-time processing. Familiarity with AI/ML for robotic applications. Preferred candidate profile

Job Purpose A data scientist turns raw data into valuable insights that an organization needs in order to grow and compete. He/she interprets and analyze data from multiple sources to come up with imaginative solutions to problems. Job Responsibilities Machine Learning Engineer with strong knowledge of Python and cloud based deployments Hands on experience in Java, Springboot, Quarks and database technologies You will be part of hands-on team developing ML based application for the bank using various ML techniques You will be required to build and deply ML applications in cloud using NLP, LLMs and other supervised learning techniques. You will be required to efficiently understand the data domain of the bank to perform EDA and MI report. And eventually designing and developing ML application on the data for multiple programs. Use data to change the economic ecosystem of the bank and Indian Financial space. The logo of the team is data can create magic and revenue streams for the bank and ML+MLOps is just a way achieve the goal. Key Skills Machine Learning Engineer with strong knowledge of Python and cloud based deployments Hands-on development experience and in-depth knowledge of Java, Golang, Spring boot and front-end technologies like Angular, Vue Excellent engineering skills in designing and implementing scalable solutions Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc. Strong knowledge of Lang Chain framework and Fast API of python is a must have. Worked on deploying service and inference APIs on the cloud. Working experience of Cloud preferably Azure. Understanding of MLOps frameworks is a big plus. Knowledge of Classification, Q&A network using BERTetc. Strong knowledge of tensorflow and pytorch frameworks. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Apache Spark) is a big plus. Understanding of machine-learning and operations research Analytical mind and business acumen paired with problem-solving ability Excellent communication and presentation skills