2099 Reinforcement Jobs - Page 42

Sales Excellence - Azure Bangalore, Karnataka, India Date posted Jun 26, 2025 Job number 1838494 Work site Up to 50% work from home Travel 25-50 % Role type Individual Contributor Profession Sales Enablement Discipline Sales Excellence Employment type Full-Time Overview Drives sales growth through mid- to long-term account or business planning. Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting for Azure. As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Defines and drives a predictable rhythm of the connection (ROC) in collaboration with peers and/or leadership. Guides sales teams/leadership on sales motions/strategies for opportunity management as a subject matter expert. Coaches and builds relationships with sales leaders on executing key priorities. Drives awareness and clarity of Corporate or TimeZone programs. Leads optimization and improvement in sales team processes and capabilities across the organization. Identifies trends on sales challenges or blockers. Leads innovations in analytics on key revenue drivers for Azure. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Integrates the feedback to guide engineer/partner teams on improving tools. Supports segment leader capacity as a senior leader. Qualifications Required/minimum qualifications 8+ years experience with active participation in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 5+ years of experience managing relationships with stakeholders, clients, and/or customers. Additional or preferred qualifications Bachelor's Degree in a related field. 5+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Responsibilities Business Partnership and Support As primary orchestrator of the Account/Portfolio Partner Business Plan, activates sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Drives reinforcement and review of quality plans across region(s). Guides sales teams/leadership on sales motions/strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a subject matter expert. Clarifies accountabilities and operationalizes the prioritized sales plays and industry solutions. Guides sales teams/leadership to generate new business and accelerates the closing of existing opportunities. Drives sales growth through mid to long term account or business planning. Analyzes the outlook and generates business insights to benchmark performance and/or define sales/ organizational/partner strategies. Contributes to integrating strategy components (e.g., programs, blueprints), cascading, aligning, and executing the defined strategy across region(s). Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across region(s). Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. Shares feedback on proposed segmentation changes based on local business knowledge. Aligns with Business and Sales Operations (BSO) on quota distribution strategy and timeline for the Area. Leverages segment expertise to review on judgment/adjustments prior to quota decisions. Participates in sales leader and manager briefings to share quotas and rationale where needed. Driving Sales Process Discipline Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales managers. Holds sales managers accountable for account plan quality and completeness. Helps ensure consistency and excellence in the sales process across the segment(s)/region(s). Shares best practices and provides thought leadership across teams. Leads analytics on key revenue drivers (e.g. by channel, by product, by geo) and generates data-based insights. Leverages and develops reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop. Leverages the feedback to influence engineer/partner teams on improving tools. Sales Coaching for Growth and Transformation Drives optimization and improvement in sales team processes and capabilities across the region(s). Assesses and anticipates customer/partner needs and applies or develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models transformation to a coaching culture. Coaches and builds relationships with sales managers on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales managers to become more effective coaches to their teams. Guides sales managers to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and guide large deal pursuit. Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Shares insights and influences sales managers' strategies to anticipate and mitigate risks. Integrates feedback on sales challenges or blockers. Guides relevant teams to develop actions based on the feedback. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and drives the adoption of plans to create new habits among sales teams or partners. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team. We are looking for: Lead Software Engineer (AI ML Engineer) , You’ll make an impact by: Data Management and Integration: Implement robust solutions for data storage and processing. Integrate AI solutions seamlessly into existing business processes. Build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications. AI Model Development and Deployment: Develop and deploy AI/ML models for applications such as predictive analytics, computer vision, NLP, and automation. Apply cloud hosting, edge devices, or hybrid solutions effectively. Design and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. Train, fine-tune, and evaluate machine learning models to enhance accuracy and performance. Compliance and Ethics: Ensure compliance with legal and regulatory requirements, and maintain fairness, transparency, and unbiased AI solutions. Ensure AI models are scalable, efficient, and adhere to ethical AI principles. Collaboration and Innovation: Collaborate with software engineers to integrate AI models into production systems. Research and implement advanced AI technologies to improve business processes. Monitor and maintain AI systems, troubleshoot issues, and optimize model performance. Document AI workflows, processes, and standard methodologies for internal knowledge sharing. Use your skills to move the world forward! Degree in Artificial Intelligence, Data Science, or a related field. 6-10 Years of experience. Strong understanding of data management and infrastructure. Experience in deployment strategies and integration. Proficiency in AI/ML development and deployment. Strong programming skills in Python (preferred) or another AI-focused language. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment. Familiarity with MLOps, model versioning, and deployment best practices. Experience working with large datasets and data engineering techniques. Strong problem-solving skills and the ability to work independently or collaboratively Advanced AI Techniques: Experience with reinforcement learning or generative AI models. Experience with Siemens AI Platform. Hands-on experience with AI-powered automation and decision-making systems. Knowledge of edge AI and deploying AI models on embedded systems. Create a better #TomorrowWithUs! This role is based in Chennai, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

IML_Technical_Project _Manager(JOB00671) Hyderabad, Hyderabad, Telangana , India (HHTI),Chennai, Chennai, Tamil Nadu , India (TCTI) Experience Range-12 - 16 Years Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders. Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Schedule: Day shift Monday to Friday Work Location: In person

About Us: Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. About the Role: We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders. Key Responsibilities: Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs , and reinforcement learning . Work across diverse domains like NLP, computer vision , or recommendation systems based on project needs. Build scalable APIs and services using Flask , Django , or FastAPI . Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning , and performance metrics. Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams. Required Skills & Qualifications: 6–9 years of hands-on experience in AI/ML and deep learning. Strong programming skills in Python and good understanding of object-oriented programming . Deep knowledge of neural networks including GANs, transformers, LSTMs , etc. Proficient in scikit-learn, pandas, NumPy , and frameworks like TensorFlow-Keras or PyTorch . Experience with version control tools such as Git and GitHub . Solid skills in data visualization tools like Matplotlib , Seaborn , or similar. Familiarity with SQL and NoSQL databases . Experience building RESTful APIs using Django , Flask , or FastAPI . Hands-on experience with GenAI models, especially using LLM APIs for inference. Good understanding of model evaluation techniques and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Preferred Qualifications: Exposure to LLM training and deployment workflows. Experience with Big Data technologies such as Hadoop, Spark , etc. Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure). Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have). Why Join Us? Be part of cutting-edge AI and GenAI product development. Work in a collaborative and innovation-driven environment. Lead high-impact projects with global exposure. Excellent growth opportunities and performance-driven culture.

TDMM Artificial Intelligence team is looking for a passionate, talented, and inventive Computer Scientist with a strong applied mathematics background, to build industry-leading technology with Foundation models including multimodal systems and the opportunity to contribute to our AI initiatives and drive innovation in financial services. Key job responsibilities: Leverage TDMM diverse multimodel financial data sets along with large-scale computing resources to fast-track advancements in LLMs, and multimodal systems, ensuring our model team stays at the forefront of innovation in science and help our clients. Work with large teams, including external collaborators Present research findings Basic Qualifications: PhD, or Master's degree and 3+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Python or related language Experience with neural deep learning methods and machine learning Experience with neural deep learning methods and machine learning Experience with data-driven model development, time series analytics, stochastic optimisation, predictive analytics, uncertainty quantification, and more. Preferred Qualifications: PhD in Computer Science, Mathematics or related field Experience with LLMs or vision-based transformers and multimodal architectures Thorough understanding of AI/ML technology stack Experience in CNN, Transformer and Graph Neural Network. Experience with basic Reinforcement Learning algorithms Experience with generative deep learning models applicable to the creation of synthetic data like CNNs, GANs, VAEs, etc. Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with cross-domain/multi-task model training including datasets from diverse sources, balancing many axes of measurement in evaluation, and deploying to multiple products. Experience in publications at top-tier peer-reviewed conferences or journal Basic Qualifications Bachelor's degree and 3+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Python or related language Experience with data-driven model development, LLMs, fine-tuning LLMs Experience with API, application developments with AI models

Role Objective: We are looking for an Energetic Civil Engineer with an experience of 5-10 years for managing our ongoing and upcoming construction projects . The job responsibility will include on-site supervision, management and daily coordination with Project Teams. Strong understanding of Engineering Principles and Construction Processes based on prior experience with large- scale construction projects is desirable. The ability to adhere to construction specifications, standards and timeline is essential. Designation: Project Engineer Civil Exp 5-10 Years Location: Manesar / Gurugram Academic: BE/B Tech Civil Engineering Key Job Responsibilities: 1. Assist Project Manager in Project Planning and Design of Stage-wise Schedule of large-scale Building Construction Projects. 2. Sound experience in Project execution of Civil-Structure-Finishing Work using conventional and specialized methodology. 3. Cross check all drawings, prepare BBS. 4. Site supervision and coordination with external contractors. 5. Prepare Engineering Drawings, Material Specifications and Quantity Cost Estimates for Projects. 6. On-site Supervision of all Project Stages from preliminary layouts to final execution. 7. Estimate quantities and cost of materials, equipment, or labor to determine project feasibility. 8. Coordinate with Project and Construction teams and Subcontractors 9. Regular maintenance o f Stock Registers and other Documents on-site; Regular reporting to Senior Team Lead and Head office 10. Ensure project compliance with safety and environmental regulations in prescribed Time and Budget 11. Responsibl e for Security of Site and Material Stock along with Safety of Labour deputed on site Qualification and Skill Requirements: 1. BE/ B Tech in Civil Engineering 2. Proficiency in civil engineering project management software, such as Civil 3D, City Engine, CAD along with BIM and GIS is desirable 3. In-depth knowledge of civil engineering and construction specifications, standards, and codes. 4. Experience in Finishing Work including External Faade Development, Interior Design and Civil Work related to Services [Plumbing, Fire Fighting, HVAC, High End Interior Finishes]. 5. Superb Team Spirit, Decision-Making, and Problem-Solving skills. 6. Excellent communication and collaboration skills. Keen to explore for this opportunity, Please write back along with the following details at Ablehunt.in@gmail.com 1. Updated CV 2. Current Salary pm 3. Exp Salary pm 4. Min Notice Period 5. Academic and Professional Qualification: 6. Availability for an Interview in person at Gurgaon in this Week Role & responsibilities

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II - Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group’s InsurTech team. In InsurTech, we empower travelers around the world with confidence to book, peace of mind, and protection when the unexpected happens—through an innovative portfolio of customer-centric, risk-based products. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class insurance and FinTech products. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. What You Will Do Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Who You Are Must Have: Educational Background: Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. Experience: 2+ years of analytics experience with a focus on product analytics and measurements. Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good To Have Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods. Machine Learning Models : Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), Large Language Models (LLM) and agentic systems. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, micro-services architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML and language models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. Adopt or invent new ML and analytical techniques for solving disparate customer problems. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience And Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet realtime requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), Large Language Models (LLM) and agentic systems. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, micro-services architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. Adopt or invent new ML, analytical and causal modeling techniques for solving disparate customer problems. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience And Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally e􀆯icient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Background in causal analysis and modeling Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As an AI Engineer at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You'll be working directly with enterprise use cases that matters. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities Evaluate and fine-tune appropriate AI/ML models on AryaXAI.com, based on specific business use cases, considering accuracy, computational requirements, and scalability. Assess various model architectures to determine the most suitable solutions for different business problems Implement and deploy AI models in production environments using AryaXAI.com, ensuring seamless integration with existing systems You'll work on advanced AI architectures using state-of-the-art AI explainability, AI safety, and AI alignment techniques You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Qualifications Has a solid academic background in concepts of machine learning, deep learning, or reinforcement learning. Published peer-reviewed papers or contributions to open-source tools are a plus. Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. 2+ years of hands-on experience in Deep Learning or Machine Learning Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

Job description Position Summary An Associate Group Head/Group Head would look into the day-to-day needs of an account and also ensure the long-term stability and growth of the relationship and revenue along with the Account Director. An Associate Group Head/Group Head must assist the Account Director to deliver brand objectives. An Associate Group Head/Group Head also serves as the internal team leader and drives integration with all the verticals. Key Responsibility Areas Fosters innovation and quality to ensure delivery of best product in the industry Is responsible for creating brand strategies and insights for brands Be the brand/category subject matter expert (Beauty, Healthcare, Lifestyle category is a plus) Provide proactive contribution to clients’ business, demonstrating best-in-class interactive product (innovation and quality) Proactive business review meetings to be conducted with all the clients Develop annual strategies and achieve the overall strategic and financial goal Manage escalations on the account Quarterly planning and briefing the team on the planned campaigns Overseeing financial process for the account Team Leadership & Development Embraces and encourages a culture based on team work, collaboration, and intellectual curiosity Motivates, leads, and manages internal teams, working collaboratively to drive programs that meet our clients’ performance and business objectives Drives adoption of stated account management best practices through example setting, positive reinforcement and behavioural correction Attracting & retaining the best talent for the account Skills Excellent command on English language (Spoken and Written) Experience in the beauty/lifestyle category for at-least 4 years Strong brand/category understanding and analytical skills Passion for excellence with high attention to details Proactive and highly organised, with strong time management and planning skills Able to meet tight deadlines and remain calm under pressure Good at absorbing large amounts of information, with a general hunger for learning Credible, confident and articulate, with good communication and presentation skills Innovative and creative, with a concise, precise and effective approach to problem solving Qualifications Education: Post Graduate / MBA (Xavier’s, MICA, Flame) Must have experience in the digital landscape Strong management/marketing experience including: team, budget and client relationship Excellent writing and presentation skills Extreme attention to detail with the ability to prioritize and execute in a fast-paced environment Agency/Brand experience for at least 6+ years Proficient in using AI tools to build efficiencies Brand relationship building capabilities (client retention for min 2 years with references) What You Can Expect From Interactive Avenues Interactive Avenue’s vision is to make advertising more insightful to the brands. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

Applications are invited for one position of project associate (PA)-I for a project entitled, “Distributionally Robust Constrained Reinforcement Learning with Function Approximation” at IIT Kanpur. The project is supported by the Prime Minister Early Career Research Grant (PMECRG), funded by the Anusandhan National Research Foundation (ANRF). About the Project : The project is on deep robust reinforcement learning with applications in wireless communications. Techniques and tools related to reinforcement learning (RL), optimization, wireless communications, and stochastic processes will be utilized to explore relevant questions. A portion of the project will be dedicated to implementing the developed algorithms on USRP-based wireless testbeds. The selected candidates will gain hands-on experience as well as exposure to the theoretical aspects of the field. Duration : The candidate will be initially selected for one year, which can later be extended up to three years, or the completion of the project, whichever is earlier, based on performance. Monthly Emolument : Rs. 37,000/- + HRA. Essential Qualifications : B. Tech./M. Tech. in EE/CSE/ECE or allied areas with GATE qualification. Desirable Qualifications : 1. Good coding skills in Python/MATLAB. 2. Experience with RL/DL models and their deployment. 3. Conceptual clarity in basic probability, statistics, linear algebra, optimization. 4. Publication records in EE/ECE/CS or allied areas is a plus. 5. Experience on working with wireless testbed is a plus. Application Procedure : Please fill the following form by 15 July 2025. https://forms.gle/1Pmz2P2EmRy2nADN7 Dr. Washim Uddin Mondal Principal Investigator (PI) Department of Electrical Engineering IIT Kanpur

We are seeking a skilled Azure Data Engineer with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem . The ideal candidate will have a strong foundation in data integration, transformation, and migration , along with a passion for working on complex data migration projects . Job Title: Azure Data Engineer Location: Remote Work Timings: 2:00 PM – 11:00 PM IST No of Openings: 3 Please Note: This is a pure Azure-specific role . If your expertise is primarily in AWS or GCP , we kindly request that you do not apply . Key Responsibilities: Design, develop, and maintain data pipelines using Azure Data Factory / Synapse Data Factory to orchestrate and automate data workflows. Build and manage data lakes using Azure Data Lake , enabling secure and scalable storage for structured and unstructured data. Lead and support data migration initiatives (on-prem to cloud, cloud-to-cloud), ensuring minimal disruption and high integrity of data. Perform advanced data transformations using Python , PySpark , and Azure Databricks or Synapse Spark Pools . Develop and optimize SQL / T-SQL queries for data extraction, manipulation, and reporting across Azure SQL services. Design and maintain ETL solutions using SSIS , where applicable. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Monitor, troubleshoot, and continuously improve data workflows to ensure performance, reliability, and scalability. Uphold best practices in data governance, security, and compliance. Required Skills and Qualifications: 2+ years of experience as a Data Engineer, with strong emphasis on Azure technologies. Proven expertise in: Azure Data Factory / Synapse Data Factory Azure Data Lake Azure Databricks / Synapse Spark Python and PySpark SQL / T-SQL SSIS Demonstrated experience in data migration projects and eagerness to take on new migration challenges. Microsoft Certified: Azure Data Engineer Associate certification preferred. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Senior AI Engineer Thiruvananthapuram Office, AEDGE AICC India Pvt Ltd About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), Large Language Models (LLM) and agentic systems. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, micro-services architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. Adopt or invent new ML, analytical and causal modeling techniques for solving disparate customer problems. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally e icient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Background in causal analysis and modeling Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/ Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js . Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai , LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js ). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

We are searching for a dedicated Home Tutor for Class 9th std standard with a strong background in one or more academic subjects. The tutor/teacher will be responsible for developing lesson plans and teaching students according to their educational needs. The position offers an in-hand salary of ₹12000 - ₹30000 and career growth opportunities. Key Responsibilities:Conduct tutoring sessions for students in various subjects. Assess, track, and report on student progress. Provide feedback to students using positive reinforcement techniques. Teach students study skills, note-taking skills, and test-taking strategies. Prepare students for standardized tests and examinations. Encourage interactive and collaborative learning in sessions. Maintain a safe and positive learning environment. Job Requirements:Candidates for this role must have Graduate and 1 - 6 years of experience in the teaching field. Applicants should have leadership experience and honed skills in areas like test preparations, special education, etc.

Classroom Management: o Maintain a nurturing and safe classroom environment where children feel secure and respected. o Manage classroom behavior using positive reinforcement and gentle guidance. o Foster a cooperative and inclusive learning space. Student Development: o Assess students' academic, social, and emotional growth, and provide feedback to parents and administrators. o Work with children individually or in small groups to address specific developmental needs. o Foster self-esteem and confidence in young learners. Parent Communication: o Communicate regularly with parents/guardians regarding their child’s progress, milestones, and any concerns. o Organize and participate in parent-teacher meetings, workshops, and school events. Classroom Environment: o Create and maintain a clean, organized, and visually engaging classroom. o Utilize teaching aids, visual tools, and technology to enhance the learning experience. o Ensure materials and resources are available and appropriate for children's needs.

We’re looking for a highly creative and technically skilled Video Editor who can craft compelling, product-focused visual stories for a US tech-savvy audience. You’ll work closely with product marketing, design, and leadership teams to bring AI, Cloud, and Engineering innovations to life through impactful short-form videos. You must have the ability to transform raw footage, voiceovers, and visual assets into polished, platform-ready videos with tight editing, motion graphics, and narrative clarity — similar to this level of output: 📌 Appmod.AI – Code Modernization 📌 LinkedIn Product Launch 📌 Narrative & Motion Explainer Job Title: Video Editor Location: Hyderabad(Hybrid) work Employment type : Fulltime What You’ll Be Doing: Edit high-quality 60–90 second videos using Adobe Premiere Pro, After Effects, or similar tools Incorporate motion graphics, transitions, kinetic typography, and visual storytelling that elevate the final product Collaborate with product and creative teams to storyboard and shape the message for clarity and impact Adapt videos to various platforms (YouTube, LinkedIn, Instagram), using appropriate formats, captions, pacing, and hooks Maintain consistent brand tone, color grading, sound design, and animation style across projects Manage tight timelines while maintaining exceptional quality What We’re Looking For Hands-on experience editing explainer/product/marketing videos for tech or SaaS companies Strong portfolio showcasing polished motion editing, storytelling, and platform-specific cuts Proficiency in Adobe Premiere Pro, After Effects, and Adobe Creative Suite Experience creating motion design assets: lower thirds, icon animations, product overlays Deep understanding of visual pacing, audience engagement, and retention in a short attention span environment Familiarity with platform nuances for LinkedIn, YouTube, Instagram Reels , etc. Strong communication and collaboration skills, with attention to detail and creative independence If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Excited to grow your career? At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. If you think this position you see is right for you, we encourage you to apply! Job Overview: In Finance, Market and Credit Risk Technology (FMCRT) we’re pushing the limits of technology. Our products and initiatives adhere to Citi’s strategic architecture principles and support the end-to-end integration of multiple global functions within the bank including Finance, Risk, and Controllers. About The Role We are seeking a highly experienced and self-driven AI/ML Lead Engineer to join our growing team. This individual will play a critical role in solutioning(design/prototype) and implementing cutting-edge AI/ML and Generative AI solutions to address complex business challenges. The ideal candidate is a seasoned professional with a deep understanding of AI/ML/GenAI technologies and a proven ability to translate business needs into robust and scalable digital solutions. This role requires a strong hands-on approach, a passion for innovation, and the ability to lead and influence technical direction. Responsibilities: Drive the identification and evaluation of new AI/ML/GenAI technologies and tools to build innovative solutions and enhance existing solutions. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to understand business requirements and translate them into technical specifications. Mentor and guide junior engineers on best practices in AI/ML/GenAI development and deployment. Stay up-to-date with the latest advancements in the field and proactively identify opportunities to leverage new technologies. Lead the development of proof-of-concept projects to demonstrate the feasibility of new AI/ML/GenAI solutions. Contribute to the development of internal AI/ML/GenAI platforms and frameworks. Troubleshoot and resolve technical issues related to AI/ML/GenAI solutions in production. Qualifications: 10+ years of experience in the software engineering industry, with a focus on AI/ML and GenAI solution development. Deep understanding of various AI/ML/GenAI techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Hands-on experience in Python, Java, or other relevant languages. Rich understanding of LLMs, vector stores and search algorithms Experience with popular AI/ML/GenAI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, LangChain, and Hugging Face Transformers. Proven ability to design, develop, and deploy AI/ML/GenAI solutions in production environments. Excellent communication, collaboration, and presentation skills. Self-starter with a strong drive for innovation and problem-solving using out of the box tooling and other automation suites. Extensive experience with data analysis and manipulation using tools like SQL, Pandas etc. Experience with MLOps principles and tools is a plus. ------------------------------------------------------ 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 looking for experienced Data Science Consultants to design, develop, and deliver impactful analytics solutions using large, complex, structured, and unstructured datasets (including big data). You will help clients make better, data-driven decisions by applying advanced data science techniques, optimization, and machine learning solutions. What You Will Do: Design, develop, and apply optimization techniques on large and complex datasets to solve real-world problems. Work closely with engineering teams to deploy scalable, efficient, and statistically effective solutions. Lead development of data science capabilities, reusable assets, and offerings to advance analytic capabilities at scale. Engage with clients and internal stakeholders to present and communicate analytical findings clearly. Research and evaluate new datasets, tools, and technologies to enhance analytics platforms. Develop accelerators, prototypes, and reusable frameworks to create efficiency and scalability. Contribute to thought leadership through research papers, presentations, and publications. What You Will Bring: PhD, Master's, or Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related fields (or equivalent experience). 6 to 9 years of relevant industry experience in Data Science, AI/ML, or Applied Analytics. Strong research background in machine learning, deep learning, or statistical modeling. Proven track record of publications in top-tier ML/AI journals is preferred. Solid understanding of optimization techniques, including linear programming, convex optimization, and non-linear programming. Experience in data science algorithms including supervised learning, unsupervised learning, reinforcement learning, simulation modeling, and recommender systems. Hands-on programming experience in Python, R, or similar languages. Familiarity with modern data science and ML tools/platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Spark, MLFlow, Databricks). Experience managing teams and mentoring junior data scientists. Agile project planning and project management experience (preferred). Strong oral and written communication skills to engage both technical and non-technical audiences. Critical thinking, attention to detail, and strong problem-solving mindset. High motivation, professional work ethic, and ability to work independently or in teams.

Job Description We are looking for experienced Data Science Consultants to design, develop, and deliver impactful analytics solutions using large, complex, structured, and unstructured datasets (including big data). You will help clients make better, data-driven decisions by applying advanced data science techniques, optimization, and machine learning solutions. What You Will Do: Design, develop, and apply optimization techniques on large and complex datasets to solve real-world problems. Work closely with engineering teams to deploy scalable, efficient, and statistically effective solutions. Lead development of data science capabilities, reusable assets, and offerings to advance analytic capabilities at scale. Engage with clients and internal stakeholders to present and communicate analytical findings clearly. Research and evaluate new datasets, tools, and technologies to enhance analytics platforms. Develop accelerators, prototypes, and reusable frameworks to create efficiency and scalability. Contribute to thought leadership through research papers, presentations, and publications. What You Will Bring: PhD, Master's, or Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related fields (or equivalent experience). 6 to 9 years of relevant industry experience in Data Science, AI/ML, or Applied Analytics. Strong research background in machine learning, deep learning, or statistical modeling. Proven track record of publications in top-tier ML/AI journals is preferred. Solid understanding of optimization techniques, including linear programming, convex optimization, and non-linear programming. Experience in data science algorithms including supervised learning, unsupervised learning, reinforcement learning, simulation modeling, and recommender systems. Hands-on programming experience in Python, R, or similar languages. Familiarity with modern data science and ML tools/platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Spark, MLFlow, Databricks). Experience managing teams and mentoring junior data scientists. Agile project planning and project management experience (preferred). Strong oral and written communication skills to engage both technical and non-technical audiences. Critical thinking, attention to detail, and strong problem-solving mindset. High motivation, professional work ethic, and ability to work independently or in teams.

Job Description We are looking for experienced Data Science Consultants to design, develop, and deliver impactful analytics solutions using large, complex, structured, and unstructured datasets (including big data). You will help clients make better, data-driven decisions by applying advanced data science techniques, optimization, and machine learning solutions. What You Will Do: Design, develop, and apply optimization techniques on large and complex datasets to solve real-world problems. Work closely with engineering teams to deploy scalable, efficient, and statistically effective solutions. Lead development of data science capabilities, reusable assets, and offerings to advance analytic capabilities at scale. Engage with clients and internal stakeholders to present and communicate analytical findings clearly. Research and evaluate new datasets, tools, and technologies to enhance analytics platforms. Develop accelerators, prototypes, and reusable frameworks to create efficiency and scalability. Contribute to thought leadership through research papers, presentations, and publications. What You Will Bring: PhD, Master's, or Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related fields (or equivalent experience). 6 to 9 years of relevant industry experience in Data Science, AI/ML, or Applied Analytics. Strong research background in machine learning, deep learning, or statistical modeling. Proven track record of publications in top-tier ML/AI journals is preferred. Solid understanding of optimization techniques, including linear programming, convex optimization, and non-linear programming. Experience in data science algorithms including supervised learning, unsupervised learning, reinforcement learning, simulation modeling, and recommender systems. Hands-on programming experience in Python, R, or similar languages. Familiarity with modern data science and ML tools/platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Spark, MLFlow, Databricks). Experience managing teams and mentoring junior data scientists. Agile project planning and project management experience (preferred). Strong oral and written communication skills to engage both technical and non-technical audiences. Critical thinking, attention to detail, and strong problem-solving mindset. High motivation, professional work ethic, and ability to work independently or in teams.

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team. We are looking for: Lead Software Engineer (AI ML Engineer) , You’ll make an impact by: Data Management and Integration: Implement robust solutions for data storage and processing. Integrate AI solutions seamlessly into existing business processes. Build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications. AI Model Development and Deployment: Develop and deploy AI/ML models for applications such as predictive analytics, computer vision, NLP, and automation. Apply cloud hosting, edge devices, or hybrid solutions effectively. Design and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. Train, fine-tune, and evaluate machine learning models to enhance accuracy and performance. Compliance and Ethics: Ensure compliance with legal and regulatory requirements, and maintain fairness, transparency, and unbiased AI solutions. Ensure AI models are scalable, efficient, and adhere to ethical AI principles. Collaboration and Innovation: Collaborate with software engineers to integrate AI models into production systems. Research and implement advanced AI technologies to improve business processes. Monitor and maintain AI systems, troubleshoot issues, and optimize model performance. Document AI workflows, processes, and standard methodologies for internal knowledge sharing. Use your skills to move the world forward! Degree in Artificial Intelligence, Data Science, or a related field. 6-10 Years of experience. Strong understanding of data management and infrastructure. Experience in deployment strategies and integration. Proficiency in AI/ML development and deployment. Strong programming skills in Python (preferred) or another AI-focused language. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment. Familiarity with MLOps, model versioning, and deployment best practices. Experience working with large datasets and data engineering techniques. Strong problem-solving skills and the ability to work independently or collaboratively Advanced AI Techniques: Experience with reinforcement learning or generative AI models. Experience with Siemens AI Platform. Hands-on experience with AI-powered automation and decision-making systems. Knowledge of edge AI and deploying AI models on embedded systems. Create a better #TomorrowWithUs! This role is based in Chennai, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

Role & responsibilities Develop detailed BIM models using Tekla Structure , focusing on reinforcement modeling & detailing. Collaborate with project teams to ensure accurate representation of structural elements in the model. Review project specifications and requirements to ensure compliance with industry standards and project goals. Assist in the coordination of BIM models with other disciplines and stakeholders. Provide technical support and guidance to team members as needed. Stay updated on industry trends, software updates, and best practices related to BIM modeling. Preferred candidate profile Bachelor's degree in Civil Engineering is preferred. Proven experience as a BIM Modeler specializing in reinforcement detailing, with a minimum of 4-8 years of relevant experience. Proficiency in Tekla Structure is essential; experience with Revit Software is a plus. Experience in working on multi-story projects (Residential, Commercial, Parking Structures, etc.) for international clients from regions such as the USA, UK, etc. Strong understanding of structural reinforcement modeling & detailing principles and construction techniques. Excellent communication and teamwork skills, with the ability to collaborate effectively with multidisciplinary teams. Detail-oriented with a focus on accuracy and quality. Ability to work under tight deadlines and manage multiple projects simultaneously.