2068 Inference Jobs - Page 24

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Manager - Warehouse position will be based in Sriperumbadur, Chennai. What a typical day looks like: Maintains receiving, warehousing, and distribution operations by initiating, coordinating, and enforcing program, operational, and personnel policies and procedures. Complies with local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Controls inventory levels by conducting physical counts; reconciling with data storage system. Maintains physical condition of warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement. Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Monitors volume of business and determines appropriate work schedule. Sets productivity and establishes necessary controls to ensure objectives are met. Monitors condition and maintenance of operating / material handling equipment. Constantly monitors the efficient handling of shipments and receipts to create an error free culture. Reviews the loading and unloading schedules to maximize efficiencies and reduce expenses. Coordinate floor cycle counts, physical inventory and reconciling records. The experience we’re looking to add to our team: Typically requires a Bachelor's degree or equivalent experience and extensive knowledge of purchasing policies and practices in addition to 12 + years of materials experience with advanced experience using MRP systems. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites. Ability to effective present information to management and customers. Master’s degree preferred Here are a few examples of what you’ll get for the great work you provide Health Insurance PTO #LP17 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

We are seeking a highly skilled and innovative Senior Software Engineer – AI to join our team. The ideal candidate will bring deep expertise in Python programming, Machine Learning (ML), Deep Learning (DL) using TensorFlow or PyTorch, and hands-on experience with Generative AI (GenAI) technologies including Large Language Models (LLMs) and prompt engineering. You will contribute to building intelligent systems, scalable ML pipelines, and end-to-end AI solutions across domains. Key Responsibilities: Design, develop, and deploy robust and scalable AI/ML models and GenAI solutions Implement ML workflows including data preprocessing, feature engineering, model training, validation, and deployment Develop and optimize data pipelines for training and inference Integrate LLMs using prompt engineering techniques to solve domain-specific problems Collaborate with cross-functional teams for solution prototyping using low-code/no-code or rapid development tools Ensure ML model monitoring, versioning, and lifecycle management through MLOps practices Leverage cloud services (AWS, Azure, or GCP) to build and scale AI/ML solutions Research and experiment with Agentic AI and other emerging technologies as applicable Required Skills & Qualifications: 4–6 years of experience in AI/ML development and deployment Strong proficiency in Python and ML/DL frameworks such as TensorFlow or PyTorch Proven experience working with Generative AI, LLMs, and prompt engineering Experience building and managing data pipelines and implementing MLOps Hands-on experience with cloud platforms (AWS, Azure, or GCP) Exposure to low-code/no-code platforms or rapid prototyping tools Strong problem-solving skills and the ability to work in a fast-paced environment Excellent communication and collaboration skills Preferred Qualifications: Experience or research in Agentic AI systems Familiarity with API integrations, vector databases, and model fine-tuning techniques Contributions to open-source AI/ML projects or published research is a plus

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning

Skill required: Marketing Operations - Content Creation Designation: Creative Production Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Content creation is the contribution of information to any media and most especially to digital media for an end-user/audience in specific contexts. What are we looking for? Exerts positive influence on both immediate project team members and external stakeholders Assumes responsibility for the accuracy of work processes and flow of tasks Proactively identifies and mitigates risks and assigns appropriate owners to prevent issues and enhance performance Guides research efforts of teams, recognizing when to apply inference, creativity and experience Understands/defines the various roles that respective teams play in the project/process Communicating Effectively Prepares clear and concise executive summary to communicate with leadership Creates communication strategy for the team/project with clear objectives and expectations Understands and factors in the cultural diversity of the audience when planning communications Creates an open environment that encourages team to participate actively and offer new ideas Creating Business Value Identifies ways for team members to better engage in knowledge-sharing and collaboration across teams Demonstrates positive attitude and supports the team through challenging situations Holds discussions with stakeholders to gather additional details to ensure inclusion of all relevant concerns Expertise in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and other relevant design and animation software. Strong conceptual thinking and ability to translate ideas into visually compelling designs. High level of accuracy and attention to detail in all aspects of design work. Excellent verbal and written communication skills, with the ability to articulate creative ideas and feedback clearly. Strong problem-solving skills and the ability to think critically and creatively. Proven ability to lead and inspire a creative team, fostering a collaborative and innovative work environment. Extensive knowledge and experience in terms of fundamentals (typography, composition, color theory, layout, balance, etc.) and universal interaction principles. Design fundamentals; solid typography, composition and obsessive attention to detail. Roles and Responsibilities: Creates\conceptualize layouts, designs and storyboards for TV/radio campaigns, Digital Campaigns (Website, Newsletter, Banner) and Print Campaigns (Flyer, OOH, etc.) in collaboration with the copywriter. Conceptualize templates/styles for client brands. Provides creative direction and accurate time estimations of design tasks. Research graphics trends to apply creative concepts strategically. Conceptualize advanced, beautiful and strategically creative comps for different solutions and proposals. Pitches concepts clearly and effectively. Ensuring the integrity and consistency of the brand. Communicates with client to discuss and finalize the design of grids and layouts. Responsible for achievement of quality standards for assigned deliverables. Makes recommendations for improvements in reports, tools, processes and assigned tasks pertinent to the design capability. Negotiate deadline changes when needed due to changes in client requirements. Create Visual Approach document as requested by client, including graphic and animation prototypes A strong portfolio that demonstrates beautiful & strategically creative solutions. Lead and inspire a team of graphic designers and motion graphic designers to create compelling visual content that aligns with brand strategy and objectives. Develop innovative concepts and design strategies for a variety of multimedia projects, including branding, advertising, social media, and video production. Oversee the creation of high-quality graphic design and motion graphics projects, ensuring they meet brand standards and project requirements. Work closely with cross-functional teams, including marketing, product, and development, to ensure cohesive and effective visual communication. Manage multiple projects simultaneously, ensuring timely delivery and adherence to project timelines and budgets. Review and provide constructive feedback on design work, maintaining high standards of quality and consistency. Stay updated on the latest design trends, tools, and technologies, and integrate them into the creative process. Mentor and guide junior designers, fostering an environment of continuous learning and improvement.

Skill required: Marketing Operations - Creative Design Designation: Creative Production Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design Creative design is a process that uses digital and physical design tools and core design training to create comps and final art that bring creative concepts to life for marketing purposes. What are we looking for? Managing Work Exerts positive influence on both immediate project team members and external stakeholders Assumes responsibility for the accuracy of work processes and flow of tasks Proactively identifies and mitigates risks and assigns appropriate owners to prevent issues and enhance performance Guides research efforts of teams, recognizing when to apply inference, creativity and experience Understands/defines the various roles that respective teams play in the project/process Communicating Effectively Prepares clear and concise executive summary to communicate with leadership Creates communication strategy for the team/project with clear objectives and expectations Understands and factors in the cultural diversity of the audience when planning communications Creates an open environment that encourages team to participate actively and offer new ideas Creating Business Value Identifies ways for team members to better engage in knowledge-sharing and collaboration across teams Demonstrates positive attitude and supports the team through challenging situations Holds discussions with stakeholders to gather additional details to ensure inclusion of all relevant concerns Expertise in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and other relevant design and animation software. Strong conceptual thinking and ability to translate ideas into visually compelling designs. High level of accuracy and attention to detail in all aspects of design work. Excellent verbal and written communication skills, with the ability to articulate creative ideas and feedback clearly. Strong problem-solving skills and the ability to think critically and creatively. Proven ability to lead and inspire a creative team, fostering a collaborative and innovative work environment. Extensive knowledge and experience in terms of fundamentals (typography, composition, color theory, layout, balance, etc.) and universal interaction principles. Design fundamentals; solid typography, composition and obsessive attention to detail. Roles and Responsibilities: Creates\conceptualize layouts, designs and storyboards for TV/radio campaigns, Digital Campaigns (Website, Newsletter, Banner) and Print Campaigns (Flyer, OOH, etc.) in collaboration with the copywriter. Conceptualize templates/styles for client brands. Provides creative direction and accurate time estimations of design tasks. Research graphics trends to apply creative concepts strategically. Conceptualize advanced, beautiful and strategically creative comps for different solutions and proposals. Pitches concepts clearly and effectively. Ensuring the integrity and consistency of the brand. Communicates with client to discuss and finalize the design of grids and layouts. Responsible for achievement of quality standards for assigned deliverables. Makes recommendations for improvements in reports, tools, processes and assigned tasks pertinent to the design capability. Negotiate deadline changes when needed due to changes in client requirements. Create Visual Approach document as requested by client, including graphic and animation prototypes A strong portfolio that demonstrates beautiful & strategically creative solutions. Lead and inspire a team of graphic designers and motion graphic designers to create compelling visual content that aligns with brand strategy and objectives. Develop innovative concepts and design strategies for a variety of multimedia projects, including branding, advertising, social media, and video production. Oversee the creation of high-quality graphic design and motion graphics projects, ensuring they meet brand standards and project requirements. Work closely with cross-functional teams, including marketing, product, and development, to ensure cohesive and effective visual communication. Manage multiple projects simultaneously, ensuring timely delivery and adherence to project timelines and budgets. Review and provide constructive feedback on design work, maintaining high standards of quality and consistency. Stay updated on the latest design trends, tools, and technologies, and integrate them into the creative process. Mentor and guide junior designers, fostering an environment of continuous learning and improvement.

RazerTech Consulting is mandated to hire a Technical Lead for a US based Tech Company that offers a cloud-based, AI-powered image editing and automation platform for leading brands in ecommerce, fashion, marketplaces & photo studios. The platform helps creatives and marketers produce stunningly consistent imagery and video content at scale. Role Overview : Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader : writing clean Java and TypeScript/Node.js, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. Ideally, youre also familiar with Python for deploying ML pipelines. (Note : This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What Youll Do : Lead development of the Java, Node.js and Python (FastAPI) backend services on AWS Build high-performance image processing pipelines using ImageMagick, SharpJS, and SVG manipulation Implement automated visual content generation using Headless Chrome and Puppeteer or similar tools. Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2 . Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX teams to translate business needs and PRDs into features that drive productmarket fit. Make architecture and infrastructure decisions from media processing to task queues to storage Own the performance and cost-optimization of our AWS platform Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and validated deliverables through real-world customer-fit testing. The ability to frame problems from scratch and work without strict handoffs - you build from a goal, not a ticket Must have Skills : Backend Development (5-7 years) : Java, Node.js, TypeScript, RESTful API, Docker AWS Expertise (5+ years) : AWS Lambda, ECS, EC2, S3, DynamoDB, CloudWatch, IAM, roles Image Processing & Media Technologies : ImageMagick, SharpJS, SVG manipulation and programmatic generation, Headless Chrome, Puppeteer System Optimization & Middleware (3-5 years) : AWS cloud cost optimization, Celery, BullMQ, AWS Step Functions Frontend Development (2-3 years) : React, TypeScript, Redux, Context API, CI/CD pipelines. System Design & Architecture (4-6 years) : Event-driven architectures using queues, microservices-based systems, caching strategies (e.g., Redis, CDN edge caching) Leadership & Communication (2-3 years) : Lead engineering teams and drive project delivery

Role : VPN Engineer. Location : Gurgaon. Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a VPN Engineer for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a VPN Engineer, you will be responsible for managing and maintaining the firm's Virtual Private Network (VPN) infrastructure, which is crucial to the success of our high frequency trading operations. You will work closely with other members of the IT team to ensure the security and reliability of our network infrastructure. Responsibilities Design, configure, and implement VPN solutions to support the firm's high frequency trading operations. Manage and maintain the VPN infrastructure, including hardware and software components. Troubleshoot network connectivity and performance issues. Ensure the security and compliance of the VPN infrastructure with industry best practices and regulatory requirements. Collaborate with other members of the IT team to implement network enhancements and new technologies. Participate in the on-call rotation for network support. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. At least 2-3 years of experience in network engineering, with a focus on VPN Technologies. Experience on site-to-site VPN tunnel, DMVPN, etc. Experience working on ACLs on different networking devices (switches, firewalls and routers) and implementing it without any downtime. Experience with VPN solutions such as Cisco AnyConnect, Juniper Pulse, and OpenVPN. In-depth understanding of network protocols, including TCP/IP, routing, and switching. Knowledge of NAT, PAT and PBR. Knowledge of network security technologies, such as firewalls, intrusion detection/prevention systems, and endpoint security solutions. Knowledge of basic linux and bash scripting. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Preferred Qualifications Industry certifications such as CCNA, CCNP will be an added advantage. Familiarity with high frequency trading operations and requirements. Experience with network automation and scripting languages such as Python or Perl. Benefits Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation. 6 Weeks of paid vacation. Regular after work parties. Top of the line health insurance for family. (ref:hirist.tech)

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Development Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser Development : Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency Engineering : Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility Qualifications : Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, & Competencies : Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs (ref:hirist.tech)

Job Summary Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluatio Responsibilities Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluation Harness OpenLLM Leaderboard etc. Enterprise-Grade RAG Systems Designing Retrieval-Augmented Generation pipelines. Using vector databases (Pinecone Weaviate Qdrant) with LangChain or LlamaIndex. Optimizing chunking embedding strategies and retrieval quality. Security Privacy & Governance Implementing data privacy access control and audit logging. Understanding risks: prompt injection data leakage model misuse. Aligning with frameworks like NIST AI RMF EU AI Act or ISO/IEC 42001. Cost Optimization & Monitoring Estimating and managing GenAI inference costs. Using observability tools (e.g. Arize WhyLabs PromptLayer). Token usage tracking and prompt optimization. Advanced Technical Skills Model Fine-Tuning & Distillation Fine-tuning open-source models using PEFT LoRA QLoRA. Knowledge distillation for smaller faster models. Using tools like Hugging Face Axolotl or DeepSpeed. Multi-Agent Systems Designing agent workflows (e.g. AutoGen CrewAI LangGraph). Task decomposition memory and tool orchestration. Toolformer & Function Calling Integrating LLMs with external tools APIs and databases. Designing tool-use schemas and managing tool routing. Team & Product Leadership GenAI Product Thinking Identifying use cases with high ROI. Balancing feasibility desirability and viability. Leading GenAI PoCs and MVPs. Mentoring & Upskilling Teams Training developers on prompt engineering LangChain etc. Establishing GenAI best practices and code reviews. Leading internal hackathons or innovation sprints.

Lead Assistant Manager – Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About The Role We are looking for a motivated Data Scientist with 5+ years of experience in machine learning and data science, focusing on NLP and Generative AI. You will contribute to the design, development, and deployment of AI solutions centered on Large Language Models (LLMs) and agentic AI technologies, including Google ADK, Agent Engine, and Gemini. This role involves working closely with senior leadership to build scalable, real-time inference systems and intelligent applications. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. 5+ years in ML engineering, applied AI, or data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization.

Senior Manager – Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About The Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

Position Overview Job Title: AI Engineer Location: Pune , India Role Description Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments. Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts. Infrastructure Management: Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers. Utilize containerization technologies like Docker to package models and dependencies. Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models. Implement version control to track changes in both code and model artifacts. Monitoring and Logging: Establish monitoring solutions to track the performance and health of deployed models. Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Scalability and Resource Optimization: Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently. Security and Compliance: Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Data Management: Oversee the management of data pipelines and data storage systems required for model training and inference. Implement data versioning and lineage tracking to maintain data integrity. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Performance Optimization: Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks in the system to enhance overall efficiency. Documentation: Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures. Document best practices and troubleshooting guides for the team. Your Skills And Experience University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master’s or Doctoral degree 2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Ideally, practical experience in finance and banking Comfortable working with and managing uncertainty and ambiguity Excellent oral and written communication skills in English How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

This role is for one of the Weekday's clients Min Experience: 5 years JobType: full-time We are looking for a skilled and motivated Full Stack Engineer with strong expertise in ReactJS for front-end development and Django for back-end services. The ideal candidate should also possess hands-on experience with AWS cloud services and CI/CD workflows. This role involves designing scalable REST APIs to integrate deep learning inference scripts and deploying applications in a cloud-native environment. Requirements Key Responsibilities Develop and maintain user-centric, responsive web applications using ReactJS. Build and optimize scalable REST APIs using Django and Django Rest Framework (DRF). Integrate Python-based deep learning model inference scripts into back-end services. Manage and deploy full-stack applications using AWS services such as EC2, S3, Lambda, and RDS. Optimize application performance and ensure cross-platform responsiveness. Write clean, modular, and maintainable code while adhering to industry best practices. Implement data protection and application-level security protocols. Conduct debugging, testing, and performance profiling to ensure application quality. Use Git for version control across the development lifecycle. Requirements 3-5 years of professional experience in full-stack development. Proficient in ReactJS, with experience using hooks, state management, and component-based design. Strong command of Django and Django Rest Framework for building APIs and backend logic. Experience integrating Python scripts for ML/DL inference within scalable systems. Solid understanding and practical experience with AWS infrastructure, including EC2, S3, Lambda, and monitoring tools. Familiarity with CI/CD pipelines, Docker, and automated deployment processes. Strong grasp of REST principles, API design, and third-party API integration. Proficient in using Git and collaborative development workflows. Experience with MySQL or similar relational databases. Strong analytical and troubleshooting abilities with a collaborative mindset. Key Skills Frontend: ReactJS, JavaScript, TypeScript Backend: Python, Django, Django REST Framework DevOps/Cloud: AWS (EC2, Lambda, S3), Docker, CI/CD pipelines Other: REST API design, Git, MySQL, Solution Architecture

Job Title: Python GenAI Developer Location: Remote About the Role: We’re seeking a skilled Python GenAI Developer to build and scale Generative AI solutions using LLMs, diffusion models, and modern ML frameworks. Key Responsibilities: Build Python apps leveraging GenAI models and integrate LLM APIs (OpenAI, Cohere, Anthropic). Fine-tune open-source models using Hugging Face. Collaborate with ML teams to create training/inference pipelines. Design prompt strategies and ensure engineering best practices (CI/CD, testing). Optimize models for latency/memory. Translate business needs into scalable solutions. Implement RAG pipelines (LangChain, LlamaIndex), LLM evals (Prompt Flow, Langfuse), and observability tools (Galileo, PromptLayer). Ensure app reliability, performance, and cost-efficiency. Must-Have Qualifications: Proficient in Python, OOP, REST, Git, Docker, and CI/CD. Strong experience with LLMs, prompt engineering, LangChain, LlamaIndex, FastAPI. Familiarity with PyTorch, Transformers, Hugging Face, RAG strategies, and cloud deployment (AWS, Azure, GCP). Knowledge of LLMOps (monitoring, latency optimization). Skilled in building and evaluating ML/NLP models with human-in-the-loop feedback. Good-to-Have: Vector DBs (FAISS, Pinecone), agentic workflows (LangGraph, AutoGen). Real-time streaming AI apps. Open-source GenAI contributions. Front-end knowledge: React, Streamlit, Gradio. Soft Skills: Strong analytical, collaborative, and problem-solving skills. Proactive learner with excellent communication.

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects.

Client Type: US Client Location: Remote The hourly rate is negotiable. About the Role We’re creating a new certification: Google AI Ecosystem Architect (Gemini & DeepMind) - Subject Matter Expert . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement.

Position Overview : We are looking for a passionate and skilled AI/ML Engineer with strong MLOps expertise to join our product engineering team. You will be responsible for developing and deploying scalable machine learning solutions that power our content-commerce-collaboration platform used by creators, brands, and consumers. Responsibilities : Design, train, and optimize ML/DL models for personalization, content understanding, search, recommendations, and fraud detection. Develop multimodal pipelines handling video, image, audio, and text inputs. Create embedding workflows and integrate with vector databases like Pinecone for real-time inference. Architect scalable, asynchronous inference systems using Docker, ECS Fargate, S3, Step Functions, SQS, and Lambda. Build CI/CD pipelines using GitHub Actions and AWS CodePipeline for ML lifecycle automation. Monitor model performance using Prometheus, Grafana, OpenTelemetry, and CloudWatch. Develop reusable infrastructure templates for logging, versioning, and evaluation. Secure and manage data using AWS services, including S3, EFS, ElastiCache, and RDS. Requirements : Troubleshoot and resolve complex system issues 3+ years of experience in ML engineering with proven MLOps exposure. Proficiency in Python with frameworks like TensorFlow, PyTorch, and Scikit-learn. Experience with Docker, AWS (ECS, Fargate, Lambda, S3), and CI/CD pipelines. Familiarity with gRPC microservices, REST APIs, and async job processing. Hands-on experience with vector databases such as Pinecone or FAISS. Strong problem-solving and debugging skills. Proactive communicator with the ability to work both independently and collaboratively. Nice to have: Experience with NestJS or Node.js, streaming media embedding, and observability tools (OpenTelemetry, X-Ray, ELK stack). What We Offer: Opportunity to work on cutting-edge tech in media + commerce, + social stack. Flat hierarchy, fast-paced product innovation cycle. Wellness support, flexible hours, and a remote-first policy. About Creator Bridge : Creato is a next-generation social commerce platform integrating content, collaboration, and e-commerce. Our mission is to empower creators, brands, and consumers by providing a seamless ecosystem where content meets commerce.

Job Requirements Key Responsibilities Design and Development: Design and implement AI/ML-based applications tailored for embedded and edge hardware. Develop end-to-end pipelines for model training, conversion, and deployment. Customize neural network architectures for edge-specific applications such as object detection, classification, and segmentation. Model Optimization and Deployment: Port and optimize AI models to meet performance and memory constraints on edge platforms. Apply quantization (e.g., INT8), pruning, and layer fusion techniques to improve model efficiency. Convert models between various formats such as ONNX, TensorRT, TVM, TFLite, and DRP-AI. Performance Tuning and Profiling: Analyze model bottlenecks and tune for latency, throughput, and power efficiency. Run inference performance profiling on hardware targets and iterate for improvements. Testing and Debugging: Validate model accuracy and performance post-optimization. Debug and troubleshoot model behavior discrepancies across frameworks and devices. Documentation and Research: Maintain documentation for all model lifecycle stages and optimization steps. Stay updated with latest AI compiler advancements and deployment trends in edge AI. Work Experience Must Have : Bachelor's/Master’s degree in Computer Science, Electronics, or AI-related field. 6+ years in AI/ML model development with experience in real-world applications. Proficient in Python, C++ and deep learning libraries (TensorFlow, PyTorch, Keras). Solid understanding of CNNs, FCNs, and their applications in computer vision. Practical knowledge of model optimization workflows (quantization, pruning, etc.). Experience with ONNX, TVM, TensorRT, DRP-AI, TFLite, OpenCV, etc. Experience with deployment on edge devices like Jetson, RZ/V2H, or STM32. Strong understanding of constraints (compute, memory, power) in edge environments. Good to Have: Exposure to embedded Linux or RTOS environments. Familiarity with low-level model debugging, calibration tools, and inference engines. Experience with Continuous Integration tools such as Git, Jenkins, or similar. Understanding of hardware accelerators (GPU, NPU, DRP-AI, etc.).

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Monday to Friday

Viziverse is creating a whole new genre of mobile video games! We're an exciting new startup founded by an experienced tech entrepreneur with multiple successful exits and degrees from MIT and Harvard Business School. As a Computer Vision Engineer , you’ll have a chance to develop and implement computer vision such as gesture recognition, pose estimation, segmentation, multimodal AI, etc. for a novel approach to video-recognition based video games that are fun, cool, and showcase and build upon our technology’s innovative capabilities. Moreover, you’ll have the opportunity to work directly with the founder and to work on things that will have a direct impact on the trajectory of both the technology and the company. What You’ll Do: Improve and innovate upon existing approaches for segmentation, pose-estimation, gesture recognition, SLAM, etc. for novel types of video games Explore application of latest cutting-edge technologies such as Multimodal AI and VLM (Vision Language Models), etc If interested and capable, implement (as well as propose) games or other demos in C#/Unity to utilize new video recognition capabilities Must-Haves: Experience with C# development Experience implementing and utilizing AI / ML models in C# Experience with scripting languages (Python) Ability to write clean readable code Ability to work independently and efficiently manage one’s time Ability to communicate effectively and work well with others Nice-to-Haves: Experience with Unity development Experience with inference in Unity Experience with Human Body Segmentation, Pose Estimation, and Gesture Recognition Experience with Multimodal AI and VLM's (Vision Language Models) Experience with Computational Geometry, Mesh Generation, 3D Reconstruction, NeRF, Gaussian Splats, etc. Experience with Monocular Visual SLAM (As relevant for any of the above, please let us know what libraries you’ve used and/or if you’ve developed your own algorithms) Why join the Viziverse team? Make a novel platform that is the first to implement novel video recognition based gaming Work with an accomplished startup founder to directly impact the industry Join startup and get an early seat on a rocket ship to something potentially huge! Ready? If working on something fun, entrepreneurial, innovative, and industry-changing sounds appealing to you, then let’s talk. (And we’ll of course keep it confidential.) (Keywords: Computer Vision, CV, Machine Vision, Multimodal AI, VLM, Human Computer Interaction, HCI, Extended Reality, XR, Virtual Reality, VR, Augmented Reality, AR, Mixed Reality, MR, Metaverse) Powered by JazzHR 8RLw0W8cjh

Req ID: 328025 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Specialist to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Experience: 4-6 years Key Responsibilities: Build machine learning models to predict asset health, process anomalies, and optimize operations. Work on sensor data pre-processing, model training, and inference deployment. Collaborate with simulation engineers for closed-loop systems. Skills Required: Experience in time-series modeling, regression/classification, and anomaly detection. Familiarity with Python, scikit-learn, TensorFlow/PyTorch. Experience with ML Ops on Azure ML, Databricks, or similar. Understanding of manufacturing KPIs (e.g., OEE, MTBF, cycle time). About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Kim Tarcelo Sponsorship Available: No Relocation Assistance Available: No Job Responsibilities: You analyze business and technical needs, translating processes into practice using the current Information Technology toolsets. You implement new solutions through configuration and the creation of functional specifications, facilitating solution realization. You conduct full integration testing of new or changed business/technical processes, and develop business/technical cycle tests for use by stakeholders. You document all process changes and share relevant knowledge with stakeholders. You troubleshoot, investigate, and persist in finding solutions to problems with unknown causes, where precedents do not exist, by applying logic, inference, creativity, and initiative. You provide cross-functional support and maintenance for the responsible business/technical areas. You conduct cost/benefit analyses by evaluating alternative design approaches to determine the best-balanced solution. The best-balanced solution satisfies immediate stakeholder needs, meets system requirements, and facilitates subsequent change. You assume a leadership role in small initiatives, playing the key contributor, facilitator, or group lead. Qualifications: You hold a Bachelor's degree in MIS, Computer Science, Engineering, Technology, Business Administration, or, in lieu of a degree, have 9 years of IT experience. You have at least 4 years of experience in IT, with a minimum of 2 years of experience in SAP. You possess techno-functional knowledge of SAP IT applications in the relevant business area. You have the ability to understand business processes and needs, delivering prompt, efficient, and high-quality service to the business. You have strong analytical and problem-solving skills, with excellent written and verbal communication skills and a strong command of English. You have solid solution design capabilities across functions and applications. You are able to work flexible hours as required for special occasions. Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 74,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain. We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress. Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth. Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data. Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation. Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions. Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement. Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities. Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance. Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience. Proficiency in SQL and at least one programming language such as Python or R. Experience with business intelligence tools (e.g., Power BI, Tableau). Strong statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies. Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent). Ability to work independently and collaboratively in a fast-paced, ambiguous environment. Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in product analytics, growth strategy, or user engagement optimization. Familiarity with Microsoft Office ecosystem or productivity tools is a plus. Experience with Copilot/LLM-related user scenarios or AI-driven products. Strong storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams. Passion for building delightful and impactful user experiences with measurable outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better! It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Join Apple, and help us leave the world better than we found it. At Apple, we build products that enrich the lives of millions of customers. Our SAP team is part of the global Information Systems & Technology (IS&T) organization. We build systems that support customer ordering, fulfilment and service of Apple products. We work with multiple business functions. Our teams develop a collaborative environment with creative, expert & fun people using brand-new technologies. Engineering perfection is encouraged. Come join us for this once in a lifetime opportunity in building solutions for Apple that has worldwide impact. Description The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple’s fast-paced environment. The role includes responsibility for all aspects of a project, including: Propose appropriate designs to meet the business requirements. Presenting the solution for design reviews and business playbacks. Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks. Status reporting within the team and to management throughout the project lifecycle. Co-ordinating cutover and implementation activities across teams. Minimum Qualifications The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple’s fast-paced environment. The role includes responsibility for all aspects of a project, including: Propose appropriate designs to meet the business requirements. Presenting the solution for design reviews and business playbacks. Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks. Status reporting within the team and to management throughout the project lifecycle. Co-ordinating cutover and implementation activities across teams. Preferred Qualifications At least 1 full cycle project experience implementing AI or ML projects Possess excellent problem-solving & analytical skills. Proven record of leading projects with timely delivery and working experience with global. Familiarity with ML libraries and frameworks, including TensorFlow, PyTorch, Pandas, and Scikit-learn. Ability to fine tune an LLM is a Plus. Understanding of RAG and graph-based RAG methodologies. Hands on experience with LangChain and LangGraph is a plus. Skills in rapid prototyping and experimentation with generative models Experience in performance optimisation, particularly in enhancing model performance and inference speed for real-time applications is a plus. Submit CV