2025 Reinforcement Jobs - Page 5

Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we're shaping the future and making a meaningful impact on the world. About The Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines. Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases. Design and deploy high-performance, low-latency AI applications. Build and optimize ML/DL models, including generative models like Transformers and GANs. Construct and manage data ingestion and transformation pipelines for scalable AI solutions. Conduct experiments, and statistical analysis, and derive insights to guide development. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. What You Need Master's in Computer Science, Engineering, or a related field. 1-3 years of software engineering experience with strong API development skills. 1+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems. Strong Python programming skills with enterprise application development and optimization. Experience with: LLMs, prompt engineering, and fine-tuning SLMs Frameworks like LangChain, CrewAI, or Autogen (at least one is a must). o Vector databases (e.g., FAISS, ChromaDB) Embedding models and Retrieval-Augmented Generation (RAG) design.  Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker) Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python - building scalable, performant AI applications. Experience with reinforcement learning and multi-agent systems.  LLM optimization and deployment at scale. Familiarity with healthcare data and AI use cases. We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave: Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Care Program: Whether it's a celebration or a time of need, we've got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need Financial Assistance: Life happens, and when it does, we're here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer's EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Position: AIML Technical Delivery Manager Location: Hyderabad / Chennai Experience: 12–18 years About the Role: We are seeking an accomplished AIML Technical Delivery Manager, passionate about transforming the US healthcare ecosystem with AI and ML solutions. This is a pivotal leadership role focusing on the delivery, operations, and evolution of scalable, production-grade ML models, with a special emphasis on US health insurance use cases. You’ll lead cross-functional AIML teams, drive engagement between Indian and US stakeholders, and ensure excellence at every stage of project execution—from ideation to production deployment. Key Responsibilities: Technical & Strategic Leadership: Drive the AI/ML program’s technical strategy, ensuring alignment with both business needs and company objectives. Guide architectural choices, experiment with innovative technologies, and foster technical best practices among AI teams. Team & Delivery Management: Mentor and manage a high-performing team of ML Engineers, MLOps, and Data Engineers. Plan and oversee end-to-end delivery of advanced analytics platforms and ML models for critical US healthcare applications. Manage day-to-day technical operations, ensuring delivery meets scope, quality, and timeline expectations. Stakeholder Engagement: Be the primary India-based liaison for US clients and leadership—bridging business objectives with technical solutions. Translate complex requirements into actionable AI/ML projects. Regularly communicate delivery status, risks, and workflows to multiple stakeholders. Collaboration & Innovation: Orchestrate cross-functional teams (engineering, data science, product, and infrastructure) to convert business challenges into impactful batch and real-time ML solutions. Continuously evaluate and propose new technologies, frameworks, and MLOps processes to accelerate delivery and improve outcomes. Process Excellence: Implement and advocate for best-in-class engineering and MLOps practices. Proactively identify and resolve risks, driving contingency plans as necessary. Champion continuous improvement to enhance speed, reliability, and scalability of ML-powered features. Requirements: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 12–18 years of overall experience, including 5+ years in delivery/AI project management and at least 3 years working directly in US Health Insurance or US Healthcare Analytics . Hands-on expertise and leadership in end-to-end MLOps pipelines—from data ingestion, model experimentation, deployment to monitoring. Proven ability to take AIML solutions from PoC to production in the US healthcare domain, demonstrating measurable business impact. In-depth knowledge of AI/ML algorithms (supervised, unsupervised, reinforcement learning) and cloud platforms (GCP preferred, AWS/Azure a plus). Exceptional communication, stakeholder management, and presentation abilities; capable of interfacing with both technical and business audiences, including C-suite leaders. Demonstrable experience leading, developing, and motivating multidisciplinary AI teams (10+ people), fostering innovation and collaboration. Strong track record of risk identification, mitigation planning, and continuous delivery improvement. Experience with diverse, globally distributed teams; adept at working across time zones and cultures. Preferred Attributes: Prior product development experience in US payer/provider landscape or value-based care analytics. Exposure to regulatory/privacy compliance relevant to US healthcare (HIPAA, etc.). Experience implementing automation and CI/CD for ML models at scale.

DESCRIPTION At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: Experience in managing process and operational escalations Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for peers and junior team members Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services BASIC QUALIFICATIONS A Bachelor’s Degree and relevant work experience of 3+ years. Excellent level of English and either of Spanish/French/Italian/Portuguese, C1 level. Candidate must demonstrate ability to analyze and interpret complex SOPs. Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. Strong communication and interpersonal skills to effectively guide and mentor associates. Ability to work collaboratively with cross-functional teams. Thoroughly understand multiple SOPs and ensure adherence to established processes. Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. Lead and participate in process improvement initiatives. Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. Adaptive to change and able to work in a fast-paced environment. PREFERRED QUALIFICATIONS Experience with Artificial Intelligence interaction, such as prompt generation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: · Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results · Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy · Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects · Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus · Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) · Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) · Experience in building NLP solutions and/or GEN AI are strongly preferred · Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. · Team player with strong relationship building, management and influencing skills · Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

The Applications Development Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Responsibilities: Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions Aligning AI/ML use cases with business strategies and key performance indicators and other metrics Working closely and lead software engineers to build new applications to run on AI/ML platforms Perform data analysis, feature engineering, and NLP training to optimize model performance Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design. Explore and prototype novel techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment. Build and maintain chatbot solutions using bot builder platforms Interfaces with vendors to assess their technology and to guide their product roadmap based on Citi requirements. Requires sophisticated analytical thought to resolve issues in a variety of complex situations. Develop and maintain applications using Node.js and JavaScript, along with relevant frameworks. Contribute to the development of Generative AI use cases and proof-of-concept projects. Uses developed communication skills to negotiate and often at higher levels. Collaborate with cross-functional teams to integrate AI/ML and NLP solutions into existing products and systems. Perform batch testing and quality assurance of chatbot performance and other NLP applications. Develop and maintain NLP pipelines for text processing and analysis. Implement API and system integrations. Manage databases for storing and retrieving user data using MongoDB, SQL, or other NoSQL databases. Conduct A/BT testing for conversation flows. Good to Have: Experience with cloud computing platforms (e.g., AWS, Azure, GCP). Experience with MLOps practices. Contributions to open-source AI/ML or NLP projects. Experience with Generative AI models and applications. Deeper expertise with Kore.ai platform, including NLP training and batch testing (preferred for one position). Experience with Java and Spring Boot. Knowledge of Unix/Linux operating systems. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

We are seeking a dynamic and motivated Retail Sales Trainer to join our Training & Development team. The ideal candidate will be responsible for conducting on-field store training, evaluating staff performance, organizing training sessions for new joiners and existing staff, and generating regular activity reports. This role requires flexibility to travel and a proactive approach to developing store-level competencies. Key Responsibilities: *On-Field Store Training & Evaluation* Conduct hands-on training sessions directly in stores for front-line staff. Assess and evaluate in-store team performance against training objectives and SOPs. Identify knowledge or skill gaps and provide immediate coaching. *General Training Sessions* Design and deliver scheduled training sessions on customer service, sales techniques, product knowledge, and operations. Update training materials regularly based on operational and product updates. *New Joiners Training* Conduct induction and onboarding programs for new hires. Ensure new employees understand company values, policies, systems, and retail expectations. Monitor and support their early performance to ensure smooth integration. *Store Visits & Travel* Be open and willing to travel to different store locations as needed. Provide support to underperforming stores or newly opened branches. Schedule regular follow-up visits for on-site reinforcement training. *Staff Evaluation* Perform periodic evaluations of store employees based on pre-defined KPIs. Provide feedback to store managers and HR based on training impact and staff growth. Contribute to succession planning by identifying high-potential employees. *Daily Activity & Reporting* Maintain detailed records of training sessions, attendance, feedback, and outcomes. Generate and submit daily/weekly reports on training activities and store observations. Use reports to highlight areas for improvement and suggest actionable plans. Benefits ESI TA PF Health Insurance

We are seeking a dynamic and motivated Retail Sales Trainer to join our Training & Development team. The ideal candidate will be responsible for conducting on-field store training, evaluating staff performance, organizing training sessions for new joiners and existing staff, and generating regular activity reports. This role requires flexibility to travel and a proactive approach to developing store-level competencies. Key Responsibilities: *On-Field Store Training & Evaluation* Conduct hands-on training sessions directly in stores for front-line staff. Assess and evaluate in-store team performance against training objectives and SOPs. Identify knowledge or skill gaps and provide immediate coaching. *General Training Sessions* Design and deliver scheduled training sessions on customer service, sales techniques, product knowledge, and operations. Update training materials regularly based on operational and product updates. *New Joiners Training* Conduct induction and onboarding programs for new hires. Ensure new employees understand company values, policies, systems, and retail expectations. Monitor and support their early performance to ensure smooth integration. *Store Visits & Travel* Be open and willing to travel to different store locations as needed. Provide support to underperforming stores or newly opened branches. Schedule regular follow-up visits for on-site reinforcement training. *Staff Evaluation* Perform periodic evaluations of store employees based on pre-defined KPIs. Provide feedback to store managers and HR based on training impact and staff growth. Contribute to succession planning by identifying high-potential employees. *Daily Activity & Reporting* Maintain detailed records of training sessions, attendance, feedback, and outcomes. Generate and submit daily/weekly reports on training activities and store observations. Use reports to highlight areas for improvement and suggest actionable plans. Benefits ESI TA PF Health Insurance

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–5 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python

This role is for one of Weekday's clients Min Experience: 10 years Location: Hyderabad, Chennai JobType: full-time Requirements What You Will Do : Strategic Leadership : Define and execute the technical roadmap for AI/ML projects aligned with our healthcare goals, ensuring maximum impact and business value Team Management & Mentoring : Build, mentor, and lead a high-performing team of AI/ML professionals, fostering a culture of innovation, collaboration, and continuous learning End-to-End Solution Delivery : Oversee the entire MLOps lifecyclefrom data ingestion and model development to deployment and monitoringdelivering robust AI solutions for healthcare use cases Cross-Functional Collaboration : Partner with business leaders, healthcare domain experts, data science, and engineering teams to translate complex healthcare challenges into effective AI models, including real-time and batch processes Stakeholder Engagement : Serve as a trusted advisor and primary point of contact for key US and Indian stakeholders, ensuring transparency, alignment, and seamless communication Innovation & Best Practices : Keep abreast of emerging AI/ML trends and incorporate cutting-edge technologies and methodologies to accelerate innovation and improve healthcare outcomes Risk & Quality Management : Monitor project risks, escalate concerns proactively, and ensure adherence to timelines, scope, and quality standards Operational Excellence : Drive process improvements, optimize workflows, and establish scalable best practices for AI project delivery Who You Are : Educational Background : Bachelor's in Engineering, Computer Science, or a related technical discipline. Advanced degrees are a plus Experience : 12-15 years in AI/ML, with a minimum of 2 years leading large-scale AI/ML projects in healthcare or health insurance Healthcare Expertise : Deep understanding of US health insurance industry or extensive experience working on healthcare AI solutions in India Technical Proficiency : Hands-on experience with cloud platforms (preferably Google Cloud Platform), MLOps pipelines, and deploying enterprise-level ML models Technical Skills : Strong grasp of AI/ML algorithms (supervised, unsupervised, reinforcement learning), model deployment, and scalable architecture design Leadership & Communication : Proven ability to lead diverse teams, influence stakeholders, and communicate complex ideas clearly Analytical & Process Skills : Skilled in risk management, process optimization, and continuous improvement

1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre Roles and Responsibilities 1. Handling the entire operations of the centre 2. Taking care of throughout responsibility of training and placements of the students. 3. Handling the entire administration of the centre. 4. Handling the collections of a particular centre. 5. Making daily reports 6. Taking care of certification of the students. 7. People reporting to the Center Operation Manager are: Admin, Trainers, Reception, Accounts , Security and housekeeping. 8. COM has to ensure: a) No dropouts b) Certification c)Upselling d)PTMs e)Student engagement activities f) Placement of students in centre

This role is for one of Weekday's clients Min Experience: 10 years Location: Hyderabad, Chennai JobType: full-time Requirements What You Will Do : Strategic Leadership : Define and execute the technical roadmap for AI/ML projects aligned with our healthcare goals, ensuring maximum impact and business value Team Management & Mentoring : Build, mentor, and lead a high-performing team of AI/ML professionals, fostering a culture of innovation, collaboration, and continuous learning End-to-End Solution Delivery : Oversee the entire MLOps lifecyclefrom data ingestion and model development to deployment and monitoringdelivering robust AI solutions for healthcare use cases Cross-Functional Collaboration : Partner with business leaders, healthcare domain experts, data science, and engineering teams to translate complex healthcare challenges into effective AI models, including real-time and batch processes Stakeholder Engagement : Serve as a trusted advisor and primary point of contact for key US and Indian stakeholders, ensuring transparency, alignment, and seamless communication Innovation & Best Practices : Keep abreast of emerging AI/ML trends and incorporate cutting-edge technologies and methodologies to accelerate innovation and improve healthcare outcomes Risk & Quality Management : Monitor project risks, escalate concerns proactively, and ensure adherence to timelines, scope, and quality standards Operational Excellence : Drive process improvements, optimize workflows, and establish scalable best practices for AI project delivery Who You Are : Educational Background : Bachelor's in Engineering, Computer Science, or a related technical discipline. Advanced degrees are a plus Experience : 12-15 years in AI/ML, with a minimum of 2 years leading large-scale AI/ML projects in healthcare or health insurance Healthcare Expertise : Deep understanding of US health insurance industry or extensive experience working on healthcare AI solutions in India Technical Proficiency : Hands-on experience with cloud platforms (preferably Google Cloud Platform), MLOps pipelines, and deploying enterprise-level ML models Technical Skills : Strong grasp of AI/ML algorithms (supervised, unsupervised, reinforcement learning), model deployment, and scalable architecture design Leadership & Communication : Proven ability to lead diverse teams, influence stakeholders, and communicate complex ideas clearly Analytical & Process Skills : Skilled in risk management, process optimization, and continuous improvement

About MindMentorz: MindMentorz is a leading academy in Bengaluru, dedicated to nurturing young minds aged 5-15 through the engaging disciplines of chess and Rubik's Cube. Our core philosophy is built on patience, strategy, and positive reinforcement, aiming to provide an enriching experience that goes beyond just teaching – we build critical thinking skills and foster a love for learning. Role Overview: MindMentorz is seeking a highly motivated and results-oriented Team Leader to manage our dynamic Enrolment and Service Delivery Teams. This pivotal role is responsible for driving revenue growth through effective enrolment strategies and ensuring exceptional customer satisfaction and retention. The ideal candidate is a "hustler" with proven experience in a fast-paced startup call center environment, capable of inspiring and guiding a team to achieve ambitious targets while upholding MindMentorz's commitment to quality engagement and customer-centricity. Key Responsibilities: Team Management & Leadership: Lead, mentor, and motivate a team of Enrolment and Service Delivery Executives. Conduct regular performance reviews and provide constructive feedback to team members. Foster a positive and high-performance team culture, emphasizing MindMentorz's core philosophy of nurturing young minds and building strong relationships. Ensure adherence to MindMentorz's enhanced engagement and conversion strategies for enrolment calls. Oversee the implementation of the "Elevating Experience & Retention Guide" across all service delivery functions. Revenue Generation & Enrolment: Drive the team to achieve and exceed enrolment targets by optimizing call scripting and pre-call preparation processes. Monitor conversion rates from demo stages and overall enrollment figures. Implement strategies to increase program uptake for both chess and Rubik's Cube, ensuring the team understands and articulates the value proposition effectively. Customer Satisfaction & Retention: Oversee seamless class scheduling, including initial contacts, ongoing adjustments, and level promotions, ensuring convenience for parents and optimal learning for children. Ensure proactive and value-driven payment collection and renewal processes, minimizing hesitations and highlighting the benefits of continued learning. Monitor student progress regularly and facilitate timely communication of feedback reports from coaches to parents. Ensure all issues faced by parents or children are resolved quickly, empathetically, and effectively, turning potential negative experiences into positive ones. Ensure classes start on time and coach-to-kid ratios are optimized to maintain an ideal learning environment and maximize individual attention. Oversee immediate welcoming and comfort for new students and parents, setting a positive tone for their MindMentorz journey. Operational Excellence: E nsure all coach-related tasks (e.g., attendance marking, feedback report submission) are completed efficiently and on time. Manage and prioritize daily team tasks to ensure prompt completion and a smooth parent experience. Contribute to the continuous improvement of enrolment and service delivery processes based on performance metrics and agent feedback. Qualifications: Proven experience in a leadership role within a call center or customer service environment, preferably in a startup. Demonstrated ability to meet and exceed revenue targets. Strong understanding of customer satisfaction metrics and strategies for improving retention. Excellent communication, interpersonal, and problem-solving skills. Ability to work effectively in a 6-day work week, office-based setting. A "hustler" mentality with a proactive and results-driven approach.

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview As the Director of Data Science and AI, you will spearhead the development of advanced AI solutions, manage a multidisciplinary team of AI engineers and data scientists, and oversee the implementation of machine learning and large language model (LLM) initiatives. You will play a strategic role in shaping our AI roadmap, ensuring the delivery of high-impact models that improve outcomes and operational efficiency of the product. Key Responsibilities AI/ML Product Development: Oversee the design, development, and deployment of machine learning, deep learning, and large language models (LLMs), including multimodal AI systems. Team Management: Build, mentor, and lead a high-performing team of data scientists, AI researchers, and ML engineers. Foster a culture of innovation and technical excellence. R&D and Innovation: Drive applied research in areas like medical imaging, predictive analytics, and clinical decision support. Guide exploration of novel algorithms and AI approaches. Data Strategy & Governance: Ensure best practices in data preprocessing, cleaning, and analysis. Collaborate with data engineering for robust pipelines and scalable infrastructure. Model Evaluation & Ethics: Champion rigorous model validation, monitoring, and explainability. Ensure ethical AI practices, especially in sensitive healthcare applications. Thought Leadership: Stay abreast of AI/ML advancements and represent the company in conferences, publications, and key industry forums. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications 8+ years of experience in data science, AI/ML, or applied research, with 3+ years in a leadership or managerial role. Proven track record of deploying AI models into production, preferably in healthcare, medical imaging, or life sciences. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. PhD preferred. Why Work with Jivi? Make a Global Impact: Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career: Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment: Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best: Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. Job Type: Full-time Work Location: In person Application Deadline: 30/08/2025

Who We Are Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You’ll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have : Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.

About the Role We are looking for a LLM (Large Language Models) Engineer to design, build, and optimize intelligent agents powered by Large Language Models (LLMs). You will work on cutting-edge AI applications , pre-train LLMs, fine-tune open-source models, integrate multi-agent systems, and deploy scalable solutions in production environments. Key Responsibilities – (Must Have) Develop and fine-tune LLM-based modesl and AI agents for automation, reasoning, and decision-making. Build multi-agent systems that coordinate tasks efficiently. Design prompt engineering, retrieval-augmented generation (RAG), and memory architectures . Optimize inference performance and reduce hallucinations in LLMs. Integrate LLMs with APIs, databases, and external tools for real-world applications . Implement reinforcement learning with human feedback (RLHF) and continual learning strategies. Collaborate with research and engineering teams to enhance model capabilities. Requirements 1+ years in AI/ML, with at least 1+ years in LLMs, or AI agents . Strong experience in Python, LangChain, LlamaIndex, Autogen, Hugging Face, etc. Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Hands-on experience in LLM deployments with strong inference capabilities using robust frameworks such as vLLM. building multi-modal RAG systems. Knowledge of vector databases (FAISS, Chroma) for retrieval-based systems. Experience with LLM fine-tuning, downscaling, prompt engineering, and model inference optimization . Familiarity with multi-agent systems, cognitive architectures, or autonomous AI workflows . Expertise in cloud platforms (AWS, GCP, Azure) and scalable AI deployments . Strong problem-solving and debugging skills. Nice to Have Contributions to AI research, GitHub projects, or open-source communities . Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Knowledge of Neural Symbolic AI, AutoGPT, BabyAGI, or similar frameworks . Job Type: Full-time Pay: ₹23,671.07 - ₹55,229.87 per month Benefits: Paid sick time Provident Fund Work Location: In person

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. AI/ML Ops Professional - Extensive experience in developing and deploying machine learning models and algorithms. Proven Track record in solving complex problems using AI/ML in various domains such as natural language processing, computer vision, or reinforcement learning. Sector expert to guide on R&D, usage of AI/ML including Natural Language Processing (NLP), Generative AI, etc Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. QUALIFICATIONS BE/BTech/ME/Mtech in CS/IT/CE or MCA or M.Sc. IT/CS

Job Title: STP Design Engineer Location: Delhi (Office + Occasional Site Visits) Company: Bharat Ecolabs Pioneering cleantech startup delivering decentralized, technology‑driven sewage treatment solutions , integrating process engineering, civil‑structural design, and IoT for sustainable wastewater management. Key Responsibilities Process & Hydraulic Design: Develop detailed process flow diagrams (PFDs) and piping & instrumentation diagrams (P&IDs) for packaged and modular STPs (MBR, MBBR, SBR, A^2/O, etc.). Perform mass‑balance and hydraulic calculations (flow, retention time, settling velocities) to size tanks, clarifiers, and filters. Civil & Structural Engineering: Prepare civil layout plans, structural drawings, and foundation designs for tanks, pumps, and equipment support using AutoCAD/Civil 3D and STAAD.Pro. Specify materials, reinforcement details, and ensure compliance with IS codes (IS 456, IS 3370) and local building regulations. 3D Modeling & Drafting: Create 3D models (Revit or equivalent) for clash detection between process piping, electrical conduits, and structural members. Generate bill of quantities (BoQ), material take‑offs, and cost estimates for civil and MEICA scopes. Coordination & Review: Liaise with mechanical, electrical, and instrumentation teams to finalize civil‑MEP interfaces. Review vendor drawings for clarifiers, blowers, pumps, and mixers; ensure constructability and installation feasibility. Site Support & Commissioning: Conduct periodic site visits to verify foundation layouts, civil workmanship, and adherence to design specs. Support commissioning by validating structural and process parameters against design benchmarks. Documentation: Compile design reports, calculation sheets, and design basis documents. Maintain as‑built drawings and coordinate updates during modifications. Qualifications & Experience Education: Bachelor’s degree in Civil Engineering, Environmental Engineering, or equivalent with strong structural design exposure. Experience: 4–6 years in STP/ETP design, with hands‑on involvement in civil and structural engineering for water/wastewater treatment plants. Technical Skills: Proficient in AutoCAD, Civil 3D, Revit, and STAAD.Pro. Familiarity with process‑engineering software (e.g., BioWin, GPS‑X) is a plus. Strong understanding of Indian Standards (IS 456, IS 3370, IS 800) and RCC design principles. Soft Skills: Excellent coordination, attention to detail, and ability to work across multidisciplinary teams. Mobility: Willingness for occasional site visits (up to 30% travel). Terms & Compensation Probation: 6 months Probation Salary: ₹50,000 per month Post‑Confirmation: Competitive salary review upon successful probation Travel: Occasional site travel, as required Bharat Ecolabs is an equal‑opportunity employer. Join us in redefining sustainable wastewater treatment across India!

Job Brief We are seeking a highly skilled and visionary AI Lead/Architect to design, implement, and lead AI/ML systems from problem definition and data strategy to production deployment for real-world autonomous systems. The ideal candidate will bring a strong foundation in Machine Learning, Deep Learning, and AI architecture, combined with leadership capabilities to drive AI excellence within cross-functional teams. Key Responsibilities AI Strategy & Architecture Architect and drive end-to-end AI solutions for autonomous platforms including computer vision, sensor fusion, NLP, and generative AI. Design scalable and modular AI pipelines and microservices using modern ML Ops frameworks (Docker, Kubernetes, Azure ML, etc.). Model Development Lead the development and deployment of ML/DL models including CNNs, RNNs, Transformers, LLMs, and federated learning architectures. Build and fine-tune models for multi-modal tasks such as image/video understanding, speech, and document intelligence. Team Leadership Manage a team of AI/ML engineers, and data scientists. Provide mentorship and technical oversight. Collaborate with software, robotics, and product teams to align AI goals with business outcomes. Innovation & R&D Drive R&D initiatives in areas like Explainable AI, Federated Learning, GenAI (LLMs), and Reinforcement Learning for real-time control systems. Evaluate and implement state-of-the-art research to maintain a competitive technological edge. Project Execution Lead AI project delivery including PoCs, pilots, and full-scale deployments for internal products and external clients. Ensure adherence to Responsible AI principles, performance benchmarks, and ethical AI practices. Required Skills and Qualifications • 8–10 years of experience in AI/ML, with at least 3 years in a leadership or architectural role. • Strong expertise in: o Deep Learning frameworks (TensorFlow, PyTorch, Keras) o Computer Vision and/or NLP (LayoutLM, LLMs like GPT-4, BERT) o Cloud ML Platforms (Azure, AWS) o MLOps: Docker, Kubernetes, CI/CD pipelines • Experience with Generative AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG) • Hands-on with Python and libraries such as Scikit-learn, NumPy, Pandas, OpenCV, HuggingFace Preferred Skills • Exposure to Federated Learning, Explainable AI, or Reinforcement Learning • Experience working with sensor data and embedded ML for edge computing • Research exposure (PhD or academic contributions in AI/ML) Soft Skills • Strong leadership and communication skills • Ability to translate complex research into practical applications • Proven experience working in agile and cross-disciplinary teams Why RoshAi? • Work at the forefront of India’s autonomous technology revolution. • Opportunity to impact real-world systems and products in a fast-scaling startup. • Collaborate with top AI minds and deep tech leaders. • Competitive compensation, ESOPs, and flexible work environment. Join RoshAi and be part of a forward-thinking company that values innovation, development, and your well-being.

Job Summary​: We’re seeking a dynamic and strategic Senior Civil Design engineer to lead the operations of our Client Company in Tiruppur. Job Role:  Prepare and review civil design drawings, structural layouts, and general arrangement drawings for water and wastewater treatment plants.  Design RCC structures, foundations, tanks, sumps, and pipe trenches based on project specifications.  Perform load calculations, material take-offs, and reinforcement detailing.  Coordinate with mechanical, electrical, and process teams for integrated design.  Check and verify drawings from consultants or junior engineers.  Visit project sites when required to support civil execution and provide technical solutions.  Ensure all designs comply with relevant IS codes, safety standards, and project requirements.  Maintain documentation and prepare design reports, BOQs, and technical submittals.  Guide and supervise junior civil design engineers and drafters. Requirements:  B.E./B.Tech or Diploma in Civil Engineering.  Minimum 5 years of experience in civil design, preferably in water/wastewater or infrastructure projects.  Proficiency in AutoCAD, or other civil design software.  Good communication, coordination, and leadership skills.  Ability to handle multiple projects and meet deadlines. Job Location: Tiruppur Salary: Upto INR 35000 Per Month

About Hero Vired: Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group? Hero Vired is a premium learning experience offering industry-relevant programs and world-class partnerships, to create the change-makers of tomorrow. At Hero Vired, we believe everyone is made of big things. With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise through deeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs. The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University. For detailed information, visit Hero Vired Role : Machine Learning Engineer Location: Delhi (Sultanpur) Job Type: Full Time (Work from Office) Experience: 3+ years Function: Technology Role Overview: We are seeking a talented and motivated Machine Learning Engineer with 3+ years of hands-on experience to join our Technology team. The ideal candidate should be passionate about building and deploying robust ML models, have strong software engineering principles, and work closely with cross-functional teams to integrate AI-powered features into our digital learning products Key Responsibilities: · Build AI-powered agents using LangChain/OpenAI APIs to simulate human-like search, click, scrape, and store behavior · Use Python scraping frameworks ( Scrapy , Playwright , BeautifulSoup ) to extract dynamic web data · Apply NLP techniques to extract structured fields from unstructured content (e.g., reviews, placement data) · Design ETL pipelines using Airflow or Prefect to ingest, clean, enrich, and store data · Store the output in normalized formats in PostgreSQL , Neo4j , or ElasticSearch · Machine Learning -> Train/update models that improve classification, ranking, or deduplication · Design a GPT-powered web crawler that uses Google/Bing APIs to simulate top human clicks → summarize pages → extract structured info · Build a semantic search pipeline using ElasticSearch + OpenAI embeddings · Architect a Knowledge Graph in Neo4j or TigerGraph for relationship-heavy queries · Implement LLM feedback loops for content validation, confidence scoring, and hallucination detection · Build a monitoring dashboard to track data freshness, accuracy, and update intervals · Familiarity with Reinforcement Learning with Human Feedback (RLHF) or Retrieval-Augmented Generation (RAG)

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You'll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master's or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems.

SEAMEDU - A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE This position is for Seamedu - School of Pro Expressionism, a division of Seamless Education and Services Pvt. Ltd (SEAS) which has 2 divisions: Seamedu - School of Pro Expressionism is a Media, Technology and Management school producing world class talent for the industry. Seamedu is an institution that nurtures the creativity of the students. Seamedu has been awarded by the Government of Maharashtra in IT & IT related Fields- Multimedia/ Entertainment/ Gaming. Seamedu has campuses in Pune, Gurgaon and Bangalore. To know more about us, please visit – www.seamedu.com. Job Title / Designation: A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE Job Description: We seek a passionate and experienced Senior Faculty / Assistant Professor to join our dynamic Information Technology programs. You will play a key role in shaping the future generation of IT professionals by delivering engaging and challenging courses that bridge the gap between theory and practice. Responsibilities: · Develop and deliver a range of high-quality courses in Artificial Intelligence, Machine Learning and Data Science at intermediate and advanced levels. Subjects include but are not limited to: o Deep Learning and Neural Networks o Predictive Analytics o Time Series Analysis, Recommender Systems, Data Mining Techniques o AI/ML Algorithms o Data Analytics using SQL, Apache Spark, and Big Data Analytics · Utilize interactive teaching methods with hands-on projects and case studies to enhance critical thinking and real-world problem-solving. · Develop engaging syllabi, and course materials and provide hands-on support to students as they work on projects, guiding them through the creative process and problem-solving to achieve their goals. · Stay up-to-date with the latest advancements in AI, ML, and Data Science. Incorporate cutting-edge tools and frameworks such as TensorFlow, Keras, Scikit-Learn, R, and Cloud-based AI platforms (AWS, Azure AI). · Work with faculty to enhance the AI/ML/Data Science curriculum, reflecting emerging technologies and industry needs. · Participate in departmental and university-wide committees and activities. · Participate in recruitment activities and advise students on career opportunities in AI, machine learning, and data science. · Continuously improve your teaching skills through professional development and stay updated on the latest advancements to provide relevant education to your students. Minimum/ Work Experience Required: 4-7 years Annual CTC : Not a Constraint for right person Location(s) of Job: Ajeenkya D Y Patil University, Pune Minimum Qualification Requirements: · Master's degree in Computer Science, Information Technology, or a related field. · Strong understanding of current trends and technologies in IT. · Excellent communication, interpersonal, and organizational skills. · Ability to develop and deliver engaging and effective lectures. · Commitment to continuous learning and professional development. Any Other Skillset : · Ph.D. in a relevant field. · Experience in curriculum development and program administration.\ · Demonstrated experience teaching courses within the areas covered by the Bachelor's degree programs. · Familiarity with cutting-edge technologies like NLP, Computer Vision, and Reinforcement Learning · Published research in AI/ML or data science, or a strong research background · Experience with advanced data visualization tools such as Tableau, Power BI, or Data Studio Also looking for ASSISTANT PROFESSOR- INFORMATION SECURITY and ASSISTANT PROFESSOR- Cloud Technology.

Job Title: Gen AI + Agentic AI Developer Experience: 4 to 8 Years Location: Remote Client: Persistent Systems Job Overview: We are hiring experienced and passionate professionals with strong expertise in Generative AI and Agentic AI frameworks. As a Gen AI + Agentic AI Developer, you will be responsible for designing, developing, and deploying intelligent, autonomous agent-based solutions using cutting-edge technologies. You’ll work closely with cross-functional teams to build scalable AI systems powered by modern LLMs and deployed on cloud infrastructure. Key Responsibilities: Design, develop, and deploy Agentic AI solutions using frameworks such as Microsoft Autogen , CrewAI , or Lang Graph . Build robust pipelines and workflows for LLM-based agent orchestration . Integrate third-party APIs, tools, and services to enhance autonomous agent behaviors. Deploy and manage solutions on AWS infrastructure (Lambda, S3, EC2, SageMaker, etc.). Collaborate with Machine Learning Engineers , Data Scientists , and Product Teams to deliver and scale intelligent solutions. Optimize AI agents for performance , efficiency , and robustness . Conduct thorough code reviews , enforce best coding practices, and contribute to architectural decisions. Required Skills & Qualifications: Strong Python development skills with a focus on modular, clean, and maintainable code. Hands-on experience with AWS services : S3, EC2, Lambda, API Gateway, SageMaker. Practical knowledge and implementation experience with at least one Agentic AI framework: Microsoft Autogen CrewAI LangGraph Familiarity with Large Language Models (LLMs) such as OpenAI, Claude, or Mistral. Experience in building multi-agent workflows and managing agent state transitions . Solid understanding of asynchronous programming in Python. Exposure to FastAPI or Flask for API/service deployment. Preferred (Good to Have): Experience with LangChain , RAG architectures , or vector databases . Familiarity with CI/CD pipelines (e.g., GitHub Actions). Experience with Docker and Kubernetes for containerization and orchestration. Understanding of Reinforcement Learning or agent-based simulations .