2099 Reinforcement Jobs - Page 46

Profile: AI/ML Engineer Location: Pune Experience: 3+Years Position Overview: This is a full-time on-site role in Pune for a Machine Learning Engineer at Timebook. We are seeking a skilled AI/ML Engineer to join our team and help drive innovation in our machine learning solutions. In this role, you will design, develop, and implement AI/ML models while collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities Develop, and implement machine learning algorithms and deep learning models. Process, clean, and verify the integrity of data used for analysis. Train and optimize models using appropriate datasets and techniques. Implement ML algorithms and tools as per solution design to meet requirements. Develop machine learning applications according to requirements. Run machine learning algorithms on datasets. Perform fine-tuning using test results. Extend existing ML libraries and frameworks to meet our needs. Fine-tune and customize pre-trained models to meet specific business requirements. Develop AI solutions using generative AI models. Required Qualifications Bachelor & degree in Computer Science, Data Science, or related field. 3+ years of experience in machine learning, AI engineering, or related role. Strong programming skills in Python, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with data science toolkits like NumPy, Pandas, and Jupyter. Understanding of data structures, data modeling, and software architecture. Excellent problem-solving and communication skills. Knowledge of fine-tuning methodologies for pre-trained models. Preferred Skills Experience with NLP, computer vision, or reinforcement learning. Understanding of MLOps practices and tools. Experience with parameter-efficient fine-tuning techniques (LoRA, PEFT, etc.) Familiarity with prompt engineering and context optimisation. Experience implementing RAG (Retrieval-Augmented Generation) systems. Experience with generative AI models such as large language models, diffusion models, or GANs. Knowledge in cloud platforms (GCP, or Azure) and their ML services. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Monday to Friday Application Question(s): What is your Notice period? What's your current ctc? Experience: AI/ML Engineer: 3 years (Required) TensorFlow, PyTorch, or Scikit-learn: 3 years (Required) NumPy, Pandas, and Jupyter: 3 years (Required) NLP, computer vision, or reinforcement learning: 3 years (Required) MLOps practices: 3 years (Required) Retrieval-Augmented Generation: 3 years (Required) generative AI models: 3 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Role Overview As a Senior Principal Software Engineer, you will be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You will lead high priority projects, set technical direction for teams, and ensure alignment with organizational goals. This role demands a high degree of technical expertise, strategic thinking, and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar. Key Responsibilities Strategic Technical Leadership : Define and drive the technical vision and roadmap for AI/GenAI systems, aligning with company objectives and future growth. Provide architectural leadership for complex, large-scale AI systems, ensuring scalability, performance, and maintainability. Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. Advanced AI Product Development Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, and multi-modal architectures. Drive innovation by exploring and integrating emerging AI technologies and best practices. Mentorship & Team Growth Mentor senior and junior engineers, fostering a culture of continuous learning and technical excellence. Elevate the team’s capabilities through coaching, training, and providing guidance on best practices and complex problem-solving. End-to-End Ownership Take full ownership of high-impact projects, from ideation and design to implementation, deployment, and monitoring in production. Ensure the successful delivery of projects with a focus on quality, timelines, and alignment with organizational goals. Collaboration & Influence Collaborate with cross-functional teams, including product managers, data scientists, and engineering leadership, to deliver cohesive and impactful solutions. Act as a trusted advisor to stakeholders, clearly articulating technical decisions and their business impact. Operational Excellence Champion best practices for software development, CI/CD, and DevOps, ensuring robust and reliable systems. Monitor and improve the health of deployed services, conducting root cause analyses and driving preventive measures for long-term reliability. Innovation & Continuous Improvement Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and product capabilities. Stay at the forefront of AI/GenAI research, driving thought leadership and contributing to the AI community through publications or speaking engagements. Minimum Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; Ph.D. is preferred but not required. Experience: 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. Proven track record of designing and deploying scalable, production-grade AI solutions. Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, and LangChain. Advanced knowledge of AI/ML algorithms, generative models, and LLMs. Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). Leadership Skills: Demonstrated ability to lead complex technical initiatives, influence cross functional teams, and mentor engineers at all levels. Problem-Solving Skills: Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful solutions. Collaboration: Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. Preferred Qualifications AI/ML Expertise: Experience with multi-modal models, reinforcement learning, and responsible AI principles. Cloud & Infrastructure: Advanced knowledge of GCP technologies such as VertexAI, BigQuery,GKE, and DataFlow. Thought Leadership: Contributions to the AI/ML community through publications, open-source projects, or speaking engagements. Agile Experience: Familiarity with agile methodologies and working in a DevOps model. UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation: For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com .

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief Introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Company Description AGF Tecnik, a division of AGF Group Inc., was established in India in 2018. Specializing in technical drawing, including reinforcement steel drawing, the team offers top-notch estimation and detailing services for various construction projects. AGF Group, renowned for its expertise in reinforcing steel, post-tensioning, and scaffolding & access solutions, operates over 40 business units across the globe, including in Canada, Chile, and the United States. AGF Tecnik is a subsidiary of AGF Group Inc. headquartered in Longueuil. We have a software team for that we look for a Team Lead We’re building AI-driven products and looking for a Tech Team Lead who can manage a team effectively and stay hands-on with the tech. We use tools like Next.js, Python, and Docker, but we’re not tied to any stack — we care more about solid engineering practices and good decision-making than specific languages or frameworks. What You’ll Do: Lead and grow a small dev team working on AI-powered applications Make architectural decisions and guide the team technically Work cross-functionally with design and product to ship features Review code, ensure quality, and keep projects on track Be hands-on when needed — we value leaders who can still code What We’re Looking For: Experience managing or mentoring engineering teams Strong technical background (language-agnostic) Ability to keep a team aligned, motivated, and productive Familiarity with modern development workflows (e.g. CI/CD, containers, cloud) Bonus: experience working with AI/ML products Why Work With Us: Build meaningful products in the AI space Work with a team that values autonomy, clarity, and impact Flexible work environment with room to grow If you're a solid engineer who enjoys leading people and solving hard problems, we’d love to hear from you

We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments.

Job Summary : The Structural Engineer is responsible for designing, analyzing, and ensuring the structural integrity of buildings and infrastructure projects. The role includes preparing structural drawings, coordinating with architects and contractors, and conducting site inspections to ensure compliance with safety standards, design codes, and construction practices. Key Duties & Responsibilities : 1. Design & Analysis Prepare and review structural designs using STAAD Pro, AutoCAD, Revit, or other relevant software. Perform structural analysis of RCC, steel, and masonry structures. Ensure designs meet local building codes, seismic and wind load standards, and project specifications. 2. Drawing & Documentation Prepare detailed structural drawings, reinforcement detailing, and technical specifications. Review and approve shop drawings submitted by contractors or vendors. Coordinate with architects and MEP engineers to avoid design conflicts. 3. Site Support & Inspection Conduct site visits to monitor construction and ensure structural compliance with drawings. Assist site engineers and supervisors with structural issues during execution. Recommend changes to structural elements if needed due to site conditions. 4. Coordination & Communication Liaise with consultants, contractors, and internal teams for seamless project execution. Attend project review meetings and provide technical input as required. 5. Quality Control & Safety Ensure quality control in structural materials (steel, concrete, etc.) through testing and inspection. Enforce safety guidelines related to structural works on-site. 6. Project Management Support Assist in preparing project schedules and structural material estimation (BOQ). Support cost optimization by recommending efficient structural solutions. Qualifications & Skills : Bachelor’s Degree in Civil / Structural Engineering (Master’s preferred). Minimum 2–5 years of experience in structural design and supervision. Proficiency in design software: STAAD Pro, ETABS, AutoCAD, Revit Structure, etc. Strong understanding of IS codes, ACI, BS or Eurocodes. Good communication and team coordination skills. Ability to work independently and in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹10,764.91 - ₹90,315.02 per month Schedule: Morning shift Work Location: In person

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2.5 - 5 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Total Years of experience : 9 Years Relevant 8 years is a must Location- TVM/Kochi – Hybrid weekly 3 days (Chennai and Bangalore candidates must work from office during the Initial months ) NP- Immediate to 30 Days Salary- Maximum 45 LPA Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

Job Title : Sr. Python Developer Job Location : Hyderabad /Chennai Job Type : Full Time Experience : 8+ Yrs Notice Period - Immediate to 15 days joiners are highly preferred Design, develop, and maintain scalable Python applications and AI-powered solutions. Collaborate with cross-functional teams to understand requirements. Create, train, deploy, and optimize machine learning and AI applications. Integrate AI/ML models into production environments with robust error handling, logging, and monitoring. Implement and enhance data preprocessing pipelines, ensuring data quality for training and inference. Conduct research to explore new AI/ML technologies, frameworks, and practices to enable teams. Write clean, testable, and efficient code following best practices for software development. Debug and improve the performance, scalability, and reliability of Python-based applications. Work with cloud platforms, FastAPIs, and databases to develop end-to-end AI solutions. Proficient in Python and its libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Flask/Django). Hands-on experience with ML algorithms (e.g., supervised and unsupervised learning, reinforcement learning). Knowledge of natural language processing (NLP), computer vision, or deep learning techniques. Familiarity with AI-driven tools and architectures. Solid understanding of data structures, preprocessing techniques, and feature engineering. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services.

Hiring: Industrial Designer – Professional Audio Products We are seeking a creative and technically skilled Industrial Designer to join our team for designing professional audio speakers, consumer electronics, and related accessories . If you’re passionate about sound, product form, and functional design, this is your opportunity to shape the future of professional audio technology. Responsibilities Conceptualize and develop visually compelling, ergonomic, and acoustically functional designs for audio speakers, gadgets, and accessories. Design enclosures and housings that optimize acoustic performance, durability, and user interaction. Prepare high-quality 3D models and production-ready drawings for manufacturing. Work closely with the acoustic and mechanical engineering teams to ensure seamless integration of internal components. Collaborate on material selection to ensure product longevity, premium feel, and manufacturing efficiency. Support prototype development through 3D printing, CNC, or mock-ups and iterate based on performance and user feedback. Keep up with design trends in audio, consumer electronics, and professional sound reinforcement equipment. Qualifications Bachelor’s degree in Industrial Design, Product Design, or a related field . Strong design portfolio showcasing product design work — especially electronics or audio-related projects. Proficiency in 3D CAD software such as SolidWorks, Rhino, Fusion 360 , or equivalent. A good eye for proportions, aesthetics, and functionality. Understanding of enclosure design for speakers and electronic accessories is a strong advantage. Experience with prototyping and manufacturing processes (e.g., injection molding, sheet metal, wood, fiberglass) is desirable. Passion or experience in audio gear, sound systems, or musical equipment is a plus. Job Types: Full-time, Internship Contract length: 6 months Pay: ₹15,000.00 - ₹50,000.00 per month Benefits: Flexible schedule Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What is your current in-hand monthly salary? Do you have any experience designing audio or electronic products? Work Location: In person Expected Start Date: 01/07/2025

Location: On-Site (PAN India Project Sites, with initial focus in Odisha) Company: Fortune Group – Engineering the Nation’s Next-Gen Infrastructure Experience Required: 7–10 Years (Structural Work in Construction & Infra Sector) Salary Range: as per industry standards. Employment Type: Full-Time | On-Site | Immediate Joiners Preferred Reporting Structure: Project Manager – Structure Work > HOD Structure > MD / CEO About the Company: Fortune Group is a trusted name in India’s infrastructure growth story, executing marquee projects in roads, bridges, ports, railways, and urban infrastructure . With active projects across Odisha, Bihar, Jharkhand, Delhi, and Nagaland , and a group turnover of ₹300 crores, we are gearing toward becoming a ₹500 crore enterprise in the near future for this upcoming financial year. Driven by excellence and empowered by execution, we are expanding our core team and looking for a seasoned Project Manager – Structure Work to lead high-value civil and structural components at site. Fortune Group is currently undergoing strategic expansion, diversifying its portfolio across key growth sectors including agriculture, warehousing, logistics, and healthcare. The group is committed to driving a transformative impact through innovation and sectoral integration. Position Overview: The Project Manager – Structure Work will be responsible for managing the execution of structural components across infrastructure projects, including bridges, culverts, retaining walls, foundations, and other civil structures. This is a site-based leadership role that demands technical mastery, team coordination, and strong decision-making. Candidates with business development capabilities will be rewarded with performance-linked bonuses . Key Responsibilities: A. Execution & Site Leadership Lead structural execution of infrastructure projects (e.g., bridges, retaining walls, RCC structures, culverts, underpasses) Ensure compliance with structural drawings, BOQs, technical specifications, and quality control plans Supervise day-to-day site activities, ensuring proper utilization of manpower, materials, and equipment Coordinate with consultants, third-party agencies, and government engineers for structural inspections and approvals Enforce safety protocols and conduct regular site audits for risk Mitigation. Planning of materials, execution and project profitability. Handling the local public and addressing the site issues. Managing the legal issues (if any). Ensuring good ethics for every process in the work flow. Maintaining the healthy relationship with head office and ensuring the project work is not hampered because of any deviations. B. Planning & Documentation Develop and update project schedules and micro-plans in coordination with the planning team. Track work progress and generate MIS reports, daily logs, and material consumption summaries. Liaise with quantity surveying and billing teams for project certifications and client billing. Ideal Candidate Profile: Experience: 7–10 years in execution of large-scale structural works (bridges, heavy RCC, infra structures) Education: B.E./B.Tech in Civil Engineering (M.Tech or certifications in structural engineering is a plus) Domain Expertise: Execution of complex structural components in roads, highways, or industrial projects, Knowledge of formwork systems, shuttering, staging, reinforcement, concreting techniques, Familiarity with IS codes, MORTH, IRC, and quality/safety protocols Tools: AutoCAD, MS Project/Primavera, Excel, ERP (preferred) Attributes: Hands-on, solution-oriented leader with ability to drive work under pressure, Strong interpersonal skills with client-facing and team-building capabilities, Commercially savvy with ability to understand project impact on margins and business. Why Join Fortune Group? Lead structural execution of landmark national infra projects High-growth career in a ₹400+ crore company with a ₹1,000 crore vision Performance-linked bonuses for professionals driving project success or business growth Transparent leadership, field autonomy, and growth into senior technical management roles Collaborative work environment that rewards initiative and accountability. Job Type: Full-time Pay: ₹600,000.00 - ₹700,000.00 per year Schedule: Day shift Work Location: In person

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance's smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. About InMobi Demand Side Platform (DSP) InMobi DSP is growing rapidly as the preferred platform for mobile app marketers globally, with investments in proprietary AI models, privacy-first architecture, and deep performance capabilities. As the Director of Product Management for AI/ML, you'll have the opportunity to shape the brain of the DSP — working on cutting-edge problems in advertising, optimization, and personalization. Overview of role We are looking for a visionary and execution-focused Director of Product Management to lead the evolution of the AI/ML stack that powers InMobi's Demand Side Platform (DSP) . This person will play a pivotal role in shaping the intelligence that drives campaign performance, optimization, and decisioning at scale across billions of ad requests per day. This is a high-impact leadership role that sits at the heart of our DSP growth strategy. You will lead the product charter for areas such as bid prediction models, budget pacing, ad engagement models, targeting engines, A/B experimentation platforms, real-time inference infrastructure and underlying data and intelligence stacks. You will directly influence revenue by shaping how DSP Platform delivers on advertisers and agency performance marketing objectives and grow our share of wallet in their growth budgets. You will define the InMobi's competitive edge in mobile performance advertising through a differentiated AI/ML platform. This role reports to the VP of Product for InMobi DSP and works cross-functionally with Data Science, engineering, Trading, Product marketing, and our GTM teams. You'll be a key driver of strategy and execution as we build the platform for next orbit of growth across mobile app and web. This role is on-site based in our Bangalore office and may include quarterly travel to our Bay Area office. Key Responsibilities Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency. Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV). Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models). Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning. Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner Translate business strategy into ML product strategy that balances innovation with operational rigor Drive adoption of AI/ML models across the business stakeholders Build a strong culture of experimentation and data-driven product development What We're Looking For Experience 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain) Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines Good understanding of programmatic advertising ecosystem Prior experience with ML infrastructure products is a plus. Technical Fluency Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc. Experience working with data science teams to convert models into production systems. Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines. Functional & Leadership Skills Strategic thinking and ability to align AI/ML roadmap with business goals. Strong analytical mindset and data fluency to define and evaluate product success. Excellent written and verbal communication skills; ability to influence across functions and seniority levels. Passion for mentoring and building high-performance product teams Bias for action, and a passion for building in fast-paced, cross-functional environments The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom – guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Position Summary We are currently seeking an Associate Group Head / Group Head – Addressable Strategy & Activation to oversee and develop our Programmatic & MarTech service offering and to help, develop, execute, and optimize Interactive Avenues most challenging Programmatic strategies for desktop, mobile, voice search, YouTube. This role includes direct management of Programmatic team members, serving as internal analyst to maintain portfolios of the partners. This is an exceptional opportunity to build your career and work with some of the largest brands in an amazing agency environment. Account Management Develop the strategy & manage the day-to-day relationships to ensure revenue growth for your portfolio of programmatic partners. Monitor & analyse daily activities to identify opportunities to increase revenue and challenges affecting spend or delivery. Help maximize revenue opportunity with all existing programmatic partners Understand partners' needs and develop custom commercial & technical offers where necessary. Work with internal marketing team to develop marketing materials & BI team to pull together relevant trends. Conduct Quarterly Business Reviews for a portfolio of partners. Generate and manage business plans to define strategies and tactics for long-term sustained success. Key Responsibility Areas Translating client campaign objectives into programmatic activation strategies; including defining and building target audiences and sourcing relevant inventory opportunities Provide Data Driven, Supply, AI /ML Multi – DSP / platform solutions to planning or Client teams. Managing campaigns, including ensuring budgets are pacing effectively and tactics are being optimized towards relevant objectives and KPIs Provide Mid / Post campaign analysis to clients Overseeing the execution of operational tasks including budget management, billing and campaign creative trafficking Developing strong working relationships and with planning, investment, operations and analytics team. Creating and enforcing workflow processes to ensure deliverables are completed accurately and on time Training, supporting and managing the day to day responsibilities and QAing work of more junior team members Conducting regular and ad hoc analysis to identify opportunities to improve performance within and across campaigns Keeping key stakeholders including clients and account teams updated on campaign and account level performance via regular and ad-hoc reporting and status meetings Contributing to the development of best practices to improve the quality or efficiency of work within an account or broader agency programmatic team Team Handling (TAT, Monthly Revenues, quality check, new findings). Skills 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 Excellent command on English language (Spoken and Written) Passion for excellence with high attention to details 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 Mentor and develop his/her team, including goals/KRAs setting, collaboration, training, feedback reviews and other career development opportunities Qualifications Education: A Graduate with a management degree from an institute of reputation Experience with working on industry-leading DMPs, organizing 1st, 2nd, 3rd party data, segments and campaign setup Well versed with ad technology tools including SEM bid management tools, DSPs, planning tools Proficient knowledge of ad serving tools (ex: DV360, DCM) 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.

JD – AI/ML Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Required Experience - 6-7 years Location – Bangalore Work mode - Onsite The candidate who can join within 30 days Job Summary The AI/ML Engineer will lead end-to-end design, development, and deployment of advanced, value-driven AI/ML solutions for digital marketing and analytics. Drive innovation, leverage cutting-edge techniques, and standardize multi-cloud model deployment through collaboration, delivering profound data insights. Required Qualifications- Bachelor’s degree (or higher preferred) in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with emphasis on quantitative methods. 6-7 years’ experience in software engineering with deep, hands-on expertise in the full lifecycle of ML model development, deployment, and operationalization. Demonstrated ability to write highly robust, efficient, and scalable Python, Java, Spark, and SQL code, adhering to industry best practices. Extensive experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and advanced deep learning libraries, including optimization. Strong, in-depth understanding of diverse ML algorithms (e.g., advanced regression, classification, clustering, RNNs, CNNs, transformers, time series, reinforcement learning), sophisticated data structures, and enterprise software design. Significant experience deploying and managing AI/ML models on major cloud platforms (Azure, AWS, GCP). Proven experience with LLMs and generative AI (fine-tuning, prompt engineering, deployment) is highly desirable. Exceptional problem-solving skills in a fast-paced, collaborative remote environment. Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence diverse global teams remotely. Experience with classification, time series forecasting, customer lifetime value models, LLMs, and generative AI, preferably from the Retail, e-commerce, or CPG industry. Responsibilities- Lead cross-functional teams to deliver and scale complex AI/ML solutions (DL, NLP, optimization). Architect, design, develop, train, and evaluate high-performance, production-ready AI/ML models, ensuring scalability and robustness. Drive implementation, deployment, and maintenance of AI/ML solutions, optimizing inference, and documenting processes. Oversee data exploration, advanced preprocessing, complex feature engineering, and robust data pipeline development. Establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models to ensure accuracy and reliability. Partner with senior stakeholders to translate business requirements into scalable AI solutions that deliver measurable value. Act as a primary SME on AI/ML model development, MLOps, and deployment, influencing global data science platforms. Continuously research and champion the adoption of the latest AI/ML technologies, algorithms, and best practices to maximize business value. Foster innovative thinking and continuous improvement, seeking superior ways of working for teams and partners.

Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as modular offerings. Skills/Specification ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:- Regression , Time Series Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. NLP, Text Mining LLM (GPTs) -OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc (knowledge on fine tuning /custom training GPTs would be an add-on advantage). Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks - TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in Python ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

AI TPM 12-18yrs 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. 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. Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. 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.

Position : AI Architect -PERMANENT Only Experience : 9+ years (Relevant 8 years is a must) Budget : Up to ₹40–45 LPA Notice Period : Immediate to 45 days Key Skills : Python, Data Science (AI/ML), SQL Location - TVM/Kochi/remote Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

Below is a comprehensive job description tailored for an AI Engineer for our patented project, with an initial focus on cricket and badminton. This role is designed for someone who may not have direct sports officiating experience but comes from related fields (such as robotics, surveillance, autonomous systems, or sports analytics) and is eager to apply their expertise in a new domain. Job Overview As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton. Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges. Key Responsibilities Architecture & Design: Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion). Collaborate with the founder to select and iterate on the optimal architecture for our use case. Algorithm Development: Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines). Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints. Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events). Sensor Fusion: Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection. Optimize models for low-latency performance on edge devices. Prototyping & Testing: Rapidly prototype and validate AI/ML modules using real or simulated data. Work closely with the full-stack developer to integrate AI components into the broader software system. Documentation & Research: Document architecture decisions, model designs, and implementation details. Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product. Collaboration: Participate in brainstorming sessions and technical reviews with the product management and development teams. Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product. Qualifications & Skill Sets Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Technical Skills: Programming Languages: Proficiency in Python and familiarity with C++. Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs). Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as OpenAI Gym or similar; ability to prototype RL solutions for real-time control. Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.). Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment. Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git). Domain-Relevant Experience: While direct experience in sports officiating is not required, experience in adjacent fields such as: Sports Analytics: Building models for performance analysis or event detection in sports. Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making. Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics. Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable. Soft Skills: Problem-Solving: Ability to work through challenging technical problems and innovate solutions. Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team. Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges. Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions. Why Join Us? Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation. Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction. Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales. Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

We are seeking a detail-oriented and proactive Accounts Payable Analyst to join our Finance team. This role involves managing end-to-end accounts payable functions, ensuring timely and accurate processing of vendor invoices, and handling TDS/GST compliance. The ideal candidate will have a strong foundation in financial processes, excellent communication skills, and the ability to work independently as well as collaboratively. Title : Accounts Payable Analyst Location: Remote work Work Timings: 2:00 PM to 11:00 PM Exp Level : Strictly Between 4 to 6 years of exp only To help expedite your application , we recommend completing a quick video assessment using the following link: https://hire.techolution.com/video-resume?role=9dd07bfa-2721-4072-94c9-1eb01e36ef7c Responsibilities: Accurately record and process vendor invoices after appropriate approvals and statutory deductions. Reconcile expenses against budgets and report deviations to the concerned authority. Compile and prepare data for timely payment and filing of TDS, GST , and other statutory returns. Prepare monthly cash expense budgets to support organizational cash flow planning. Perform regular ledger scrutiny to identify and report irregularities. Generate monthly reports on accounts payable and related financial activities. Collaborate with internal departments (Legal, HR, PMO, Operations, etc.) to gather and validate financial data. Track and report unbudgeted expenses by actively following up with internal stakeholders. Investigate discrepancies and resolve invoice/payment-related issues in a timely manner. Support general financial analysis and assist in broader financial management tasks. Maintain organized and up-to-date accounts payable files and documentation. Required Skills & Qualifications: Strong knowledge of core accounting principles and accounts payable processes. Hands-on experience with QuickBooks , Google Sheets , and Microsoft Excel . Familiarity with Indian tax regulations, especially TDS and GST . Excellent communication and interpersonal skills. Strong analytical mindset and attention to detail. Ability to take initiative, work independently, and collaborate in a team environment. About Techolution: Techolution is a next gen Consulting firm on track to become one of the most admired brands in the world for "innovation 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. 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. Computer Vision. AI: Our Computer Vision. 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. 6. AI Center of Excellence: Establishes an AI Center of Excellence to maximize AI potential and ROI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution Google Next 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.

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. About InMobi Demand Side Platform (DSP) InMobi DSP is growing rapidly as the preferred platform for mobile app marketers globally, with investments in proprietary AI models, privacy-first architecture, and deep performance capabilities. As the Director of Product Management for AI/ML, you’ll have the opportunity to shape the brain of the DSP — working on cutting-edge problems in advertising, optimization, and personalization. Overview Of Role We are looking for a visionary and execution-focused Director of Product Management to lead the evolution of the AI/ML stack that powers InMobi's Demand Side Platform (DSP) . This person will play a pivotal role in shaping the intelligence that drives campaign performance, optimization, and decisioning at scale across billions of ad requests per day. This is a high-impact leadership role that sits at the heart of our DSP growth strategy. You will lead the product charter for areas such as bid prediction models, budget pacing, ad engagement models, targeting engines, A/B experimentation platforms, real-time inference infrastructure and underlying data and intelligence stacks. You will directly influence revenue by shaping how DSP Platform delivers on advertisers and agency performance marketing objectives and grow our share of wallet in their growth budgets. You will define the InMobi’s competitive edge in mobile performance advertising through a differentiated AI/ML platform. This role reports to the VP of Product for InMobi DSP and works cross-functionally with Data Science, engineering, Trading, Product marketing, and our GTM teams. You’ll be a key driver of strategy and execution as we build the platform for next orbit of growth across mobile app and web. This role is on-site based in our Bangalore office and may include quarterly travel to our Bay Area office. Key Responsibilities Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency. Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV). Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models). Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning. Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner Translate business strategy into ML product strategy that balances innovation with operational rigor Drive adoption of AI/ML models across the business stakeholders Build a strong culture of experimentation and data-driven product development Experience What We’re Looking For 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain) Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines Good understanding of programmatic advertising ecosystem Prior experience with ML infrastructure products is a plus. Technical Fluency Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc. Experience working with data science teams to convert models into production systems. Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines. Functional & Leadership Skills Strategic thinking and ability to align AI/ML roadmap with business goals. Strong analytical mindset and data fluency to define and evaluate product success. Excellent written and verbal communication skills; ability to influence across functions and seniority levels. Passion for mentoring and building high-performance product teams Bias for action, and a passion for building in fast-paced, cross-functional environments The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom – guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Job Summary: The Head of Mentors – Academics (JEE/NEET) will lead a team of academic mentors focused on delivering high-impact guidance, doubt resolution, and personalized support to students preparing for national-level competitive exams like JEE and NEET . This role involves strategic planning, team development, performance tracking, and ensuring consistent academic excellence and student success. Key Responsibilities: Team Leadership & Management Build, lead, and manage a high-performing team of mentors (Physics, Chemistry, Math, Biology) across JEE and NEET verticals. Create mentorship frameworks for student engagement, performance tracking, and academic support. Oversee mentor recruitment, onboarding, training, and continuous upskilling. Student Academic Support Design and monitor one-on-one and group mentorship models tailored to JEE/NEET preparation. Ensure timely doubt resolution, concept reinforcement, time management, and exam strategy guidance. Establish escalation mechanisms for academic issues (e.g., consistent low scores, lack of motivation). Academic Quality Control Define KPIs for mentorship quality (engagement rate, resolution time, student satisfaction). Conduct regular audits of mentor-student interactions and implement feedback-based improvements. Ensure mentors are aligned with the latest JEE/NEET exam patterns and preparation techniques. Coordination & Delivery Collaborate with Subject Matter Experts (SMEs), Content, and Teaching Teams for aligned academic delivery. Coordinate with product/tech teams to integrate mentorship workflows into platforms (e.g., dashboards, tracking tools). Oversee performance analytics and reporting to identify trends and gaps. Qualifications: Bachelor’s or Master’s degree in Engineering, Medicine, Science, or Education. 4–7 years of experience in JEE/NEET academic delivery, with at least 3–5 years in a leadership or mentorship management role. Strong familiarity with competitive exam ecosystems, academic rigor, and student psychology. Desired Skills & Traits: Deep understanding of JEE/NEET syllabus, exam trends, and student prep cycles. Team management and training expertise. Excellent communication and motivational skills. Analytical mindset with data-driven decision-making. Tech-savvy with experience in edtech tools/platforms.

About AkzoNobel Since 1792, we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together. For more information please visit www.akzonobel.com © 2024 Akzo Nobel N.V. All rights reserved. Job Purpose The incumbent will responsible to deliver on sales volume, revenue, market share and profit objectives of the Trims and Woodcare business through appropriate brand plans Key Accountabilities P&L accountability Drive high speed Innovation plans and manage the network to grow and deliver in white spaces through portfolio expansion Strategy Implementation of all brand activities to deliver top line and bottom line through cross functional teams and agencies Deliver on innovation pipeline for the portfolio Partner closely with R&D on product development process comprising of benchmarking, kitchen trials and on-field testing Lead the project network from product briefing to launch through collaboration with cross functional teams – R&D, Factory & production planning, Procurement, Finance etc Develop pricing strategy for new products in the portfolio taking into account the current laddering and competition pricing Strategy Implementation Contribute to the development, reinforcement and implementation of long-term strategy and plans for the brand. Help in the development of, securing agreement to and implementation of annual brand plans & effort priorities to help the brand achieve its financial targets. Develop and implement effective & efficient consumer promotions to help achieve brand targets. Experience 3-7 Years of relevant experience At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. Requisition ID: 46797

Job Description: Communications Manager – Change & Enablement Please find the JD below Location: Remote Np: Immediate Relevant Exp: 5+ years of experience in communications or change management, Strong writing, editing, and storytelling skills, - Proficiency with Microsoft 365 tools (Word, PowerPoint, SharePoint, Teams), Adobe Creative Suite - Mandatory - Experience with visual design and formatting tools (e.g., PowerPoint, Adobe Creative Suite) - Ability to manage multiple projects and deadlines in a fast-paced environment Visual and Multimedia Support - Designs visuals, edits videos, and prepares presentation materials to enhance communication effectiveness. Key Responsibilities 1. Internal Communications & Content Development - Owns the creation of internal communications including newsletters, announcements, and leadership messages (e.g., Full Scope, Newsletters, and executive communications), supporting Enablement Leads and their change and communication initiatives, as well as the organization leader and change management lead in coordinating and standardizing the material. - Formats and finalizes content for publications, ensuring alignment with company policies and ISD tone and branding. - Develops and maintains SharePoint pages, FAQs, and landing decks for change initiatives. - Collaborate with Change Practitioners and Project Managers to execute change plans using tools like the ISD Change Management Plan Template and Change management checklist. - Reviews Full Scope stories, leadership slide decks, and readiness materials for clarity, conciseness, and interest, as well as editing. 2. Program Coordination & Stakeholder Engagement - Partners with Enablement Leads to collate field feedback, align messaging, and support adoption of new tools and processes. - Coordinates with Enablement Leads and Change Management Lead to ensure timely delivery of communications and readiness assets, aligned to standards, guidance, and best practices. - Supports project closeout through document, site, and FAQ cleanup and archival. 3. Visual and Multimedia Support - Designs visuals, edits videos, and prepares presentation materials to enhance communication effectiveness. - Supports “Reinforcement” activities (celebrate success, close-out messages, etc.) by translating impact stories into compelling narratives, connecting to supporting readiness materials, documentation, and FAQs

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: Experience level is 0-5 years /freshers, with a a strong GIT repository can apply for this job. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

The Amrita Vishwa Vidyapeetham, Coimbatore campus, is inviting applications from qualified candidates for the post of Assistant Professor For details contact : mechcp@cb.amrita.edu Job Tilte Assistant Professor Location Coimbatore, Tamil Nadu Required Number 1 Qualification B.E., / B.Tech and MTech in Mechanical / Mechatronics/ECE/ EEE / CSE or allied specialization and PhD in Automation / Mechatronics / Robotics Job Description B.E., / B.Tech and MTech in Mechanical / Mechatronics/ECE/ EEE / CSE or allied specialization Ph.D. with expertise in Robotics / AI/ Automation / Mechatronics Good academic track record with quality research publications Programming skills - C, C++, Python, Matlab, ROS, Robot programming languages, LAB View, Automation Studio Teaching courses – Mobile Robots; Robot Dynamics & Control, Robot Navigation, IOT, Mechatronics System Design, Embedded Systems; Deep Learning; Reinforcement Learning Job Category Teaching Last Date to Apply July 10, 2025