22493 Ml Jobs - Page 40

Job Title: Senior Backend Developer (Python, FastAPI & MongoDB) Location : Bengaluru, India Company Overview: IAI Solution Pvt Ltd (www.iaisolution.com ),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains. We are seeking a Senior Backend Developer who thrives in fast-paced environments, enjoys solving complex technical challenges, and is passionate about building scalable, high-performance backend systems that power real-world AI applications.. Position Summary: We are looking for a Senior Backend Developer with 3 to 5 years of professional experience in Python-based development, especially using FastAPI and MongoDB . The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms. Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines. Key Responsibilities: Design, build, and maintain robust backend services using Python and FastAPI . Develop and maintain scalable RESTful APIs for internal tools and third-party integrations. Work with MongoDB , PostgreSQL , and Redis to manage structured and unstructured data efficiently. Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure. Implement best practices in code architecture, performance optimization, logging, and monitoring. Ensure APIs and systems are production-ready, fault-tolerant, and scalable. Handle API versioning, documentation (Swagger/OpenAPI), and error management. Optimize queries, indexes, and DB schema for high-performance data access. Maintain clean code with emphasis on object-oriented principles and modular design. Troubleshoot production issues and deliver timely fixes and improvements. Qualifications: Overall Experience : 3 to 5 years in backend software development. Python : Strong proficiency with object-oriented programming. Frameworks : Hands-on experience with FastAPI (preferred), Django. Databases : MongoDB : Experience with schema design, aggregation pipelines, and indexing. Familiarity with SQL databases (PostgreSQL/MySQL). Experience with Redis and optionally Supabase. API Development : Proficient in building and documenting REST APIs. Strong understanding of HTTP, request lifecycles, and API security. Testing & Debugging : Strong debugging and troubleshooting skills using logs and tools. Performance & Scalability : Experience optimizing backend systems for latency, throughput, and reliability. Tools : Git, Docker, Linux commands for development environments. Must-Have Skills: Proficiency in Python and object-oriented programming Strong hands-on experience with FastAPI (or similar async frameworks) Knowledge of MongoDB for schema-less data storage and complex queries Experience building and managing REST APIs in production Comfortable working with Redis , PostgreSQL , or other data stores Experience with Dockerized environments and Git workflows Solid grasp of backend architecture , asynchronous programming, and performance tuning Ability to write clean, testable, and maintainable code Good-to-Have Skills: Experience with asynchronous programming using async/await Integration with third-party APIs (e.g., Firebase, GCP, Azure services) Basic understanding of WebSocket and real-time backend patterns Exposure to AI/ML pipelines , model APIs, or vector DBs (e.g., FAISS) Basic DevOps exposure: GitHub Actions, Docker Compose, Nginx Familiarity with JWT , OAuth2, and backend security practices Familiarity with CI/CD pipelines and versioning Basic understanding of GraphQL or gRPC is a plus Preferred Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field Demonstrated experience delivering production-grade backend services Experience working in agile teams and using tools like Jira Familiarity with Agile/Scrum methodologies and sprint cycles Interest or experience in AI/ML-integrated systems is a plus Perks & Benefits: Competitive salary with performance-based bonuses Opportunity to work on AI-integrated platforms and intelligent products Access to latest tools, cloud platforms, and learning resources Support for certifications and tech conferences Flexible working hours and hybrid work options Wellness initiatives and team-building activities Job Type: Full-time Pay: Up to ₹1,500,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Fixed shift Ability to commute/relocate: Bangalore City, Karnataka: Reliably commute or planning to relocate before starting work (Required) Experience: Python: 1 year (Required) FastAPI: 1 year (Required) Location: Bangalore City, Karnataka (Required) Work Location: In person Speak with the employer +91 9003562294

Associate Director, Product Marketing & GTM (Demand Generation) [Remote] | Full-time I Bangalore About the company: OneReach.AI offers a leading B2B SaaS Agentic Automation and Orchestration platform to help organizations orchestrate advanced multimodal AI agents that elevate employee and customer experience. We are a team of hundreds of AI scientists, researchers, software developers, data scientists, mathematicians, UI/UX analysts, engineers, technologists, and sales and marketing professionals. With customers ranging from Fortune 1000 enterprises to other marquee brands and industry leaders, OneReach.AI is rated as a leader by major industry analyst firms, such as Gartner, Forrester, and IDC. Generative Studio X (GSX) powers over 1.5 billion conversations per year and is trusted by leading brands; 80% of our users are non-developers. Visit https://onereach.ai to know more. About the Role: This is an exciting opportunity for B2B SaaS marketing professionals having expertise in product marketing and GTM/Demand Generation to be part of a growing and global marketing team and an innovative organization embarking on the next phase of its growth. OneReach.ai boasts of a great culture empowering individuals and teams, values work-life balance, and encourages innovation. Agentic AI is right now the fastest-evolving segment in enterprise IT and this is a great opportunity to be a part of an organization innovating at a rapid pace with a leading B2B SaaS Agentic AI Automation and Orchestration platform. This is a remote position open for Bangalore location only. Key Responsibilities: Product Marketing: Contribute to product marketing initiatives, including differentiated messaging and positioning, product marketing asset development, competitive intelligence, and sales enablement. Develop a sound understanding of the Onereach.ai product portfolio and be an expert in ideal customer profiles (ICPs), pain points and challenges of enterprises looking to adopt Agentic Automation & Orchestration platforms, and mapping those to key features and capabilities of the OneReach.ai product portfolio. GTM Strategy : Develop and execute go-to-market (GTM) plans for various regions and market segments (mid-market and large enterprises). This includes which marketing channels and programs to use for driving Demand Generation (Top Funnel Creation). Demand Generation and Marketing Programs : Manage marketing campaigns across different channels (paid digital, events, webinars, social, content marketing, organic etc.) to drive product awareness and adoption, and demand generation (Top Funnel Creation). Use marketing analytics dashboards to review performance and continuously optimize individual marketing campaigns. Cross-functional Collaboration : Collaborate with the wider Marketing, Product, Sales, Engineering, and Customer Success teams to execute impactful marketing programs. Requirements & Qualifications: Bachelor’s degree in engineering or technology. Overall experience of at least seven years, with at least five years of experience of working with B2B SaaS, enterprise software or AI platform vendors. Should have prior experience in product marketing of B2B SaaS products. Technical understanding of at least a few AI and automation technologies, such as machine learning (ML), natural language processing (NLP), deep learning, computer vision, RPA & intelligent automation, and generative AI. Strong written and verbal communication skills. Analytical skills to set up tracking/reporting mechanisms for measuring outcomes against KPIs. Excellent communication and project management skills. Self starter who can experiment and iterate fast for new initiatives. Why Join Us? Opportunity to lead high-impact marketing initiatives and be part of a global marketing team. Collaborative, fast-paced work environment. Competitive salary and benefits. Growth and learning opportunities. How to Apply? Interested? Apply now or DM us for more details!

Duration: [2–6 months] About Us Lanware Solutions is a product engineering firm specializing in IoT, embedded systems, AI/ML, and cloud-driven solutions. We build scalable, secure, and innovative technologies that power smart devices, industrial systems, and next-generation automation platforms. We’re looking for a motivated Business Development Intern to join our growth team and support lead generation, outreach, and market research efforts. Key Responsibilities Research and identify potential clients across target industries Support outbound LinkedIn and email outreach campaigns Help prepare marketing collateral, capability decks, and pitch materials Monitor industry trends and contribute insights to support strategy Customer demographic research and list building Development and implementation of Social Media plan Create blog posts or newsletter Requirements Strong communication and interpersonal skills Interest in B2B technology, SaaS, or product engineering Familiarity with LinkedIn, email tools, and Excel/Google Sheets Self-motivated, detail-oriented, and eager to learn Pursuing/completed a degree in Business, Marketing, Engineering, or related fields What You'll Gain Hands-on experience in B2B business development Exposure to real-world sales tools, campaigns Opportunity to work closely with leadership and cross-functional teams Rush your profile to hr@lanwaresolutions.com

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About Lowe's India Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About Team The Cost Analytics team supports all analytical and data requirements that supports the accounting function – specifically Margin & Cost, Vendor Funding, Imports, Trade Payables and Transporation Accounting. Leveraging firm’s tech stack, the team works on varied problem statement and help in providing an optimum solution to end users Job Summary The Manager is primarily responsible for leading a team dedicated to the accounting function for Lowe’s US operation in design, development and delivery business intelligence solutions. The principle purpose of the Manager is to work with the Business Leadership in delivering impactful data driven analytics support to the COA office. This position is responsible for designing the report to business needs with analytical best practices, facilitate to analyze results and identify insights for decision making. A substantial amount of technical knowledge is needed to support the various user requests and special projects. This is accomplished by utilizing advanced tools and methods to leverage various financial data. A goal of this position is automation of processes and enhancements of existing business analytics. To accomplish this, decent knowledge of cost and financial analytics, be proficient in MS Access, MS Excel, VBA, SQL, Teradata, Knime/Alteryx, Power Apps, Power Query, Power BI, Hadoop (Big data), Google Cloud Platform, Python, R etc is required. The Manager will collaborate directly with various areas of accounting teams and other areas of the Business in order to ensure Inventory, Revenue and Margin are reported accurately both from an Operational and Financial perspective. The position will possess analytical problem-solving, ability to synthesize multiple data points, will demonstrate the ability wrap multiple data points into a cohesive story and strategy. Roles & Responsibilities: Core Responsibilities: Partner with domain leaders to understand the requirements and deliver right set of solutions Lead and mentor a team of BI analysts and developers Foster a culture of continuous improvement and data literacy Ensure data accuracy, integrity, and security across all reporting platforms Present insights and findings to stakeholders across all levels of the organization Create solutions addressing the specific challenge using various tools Create and maintain documentation of processes Act as a consultant to end users for recommendation on tools and technical feasibility Guide the team in key business knowledge areas and technical architecture Work allocation and delivery management with maintaining high accuracy of all reports and analysis Drive initiatives aimed at bringing in innovative ideas to current processes Years of Experience: 10+ years of experience in the domain of Reporting & Analytics 3+ years of experience in leadership/managerial role Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor's degree in finance, Accounting, Analytics, Engineering or Business Intelligence Postgraduate in Finance/ Business Analytics will be an added advantage Experience working with multiple stakeholders across locations. Skill Set Required Primary Skills (must have) Excellent communication, problem-solving, and project management skills Understanding of relational databases – Teradata, IBM DB2, Hadoop, Google Cloud Platform Expertise in SQL – DDL & DML – Joins, Partition, Update, Stored Procedures, Query tuning, etc Advance MS Excel and MS Access experience including VBA Macros – LOOPS, Arrays, functions, procedures, User Forms, dynamic querying, Objects, Collections, Exception handling etc Experience working with analytical tools like Python- Pandas, NumPy, PyOdbc,dateTime, etc Exposure to ETL tools like Alteryx and Knime Ability to create charts/visualization that aptly represents the trends and analysis Experience with Business Intelligence and Reporting tools, preferably in Power BI Analytical mindset to understand and solve complex business problem Self-motivated, strong leadership skills and excellent verbal/written skills Secondary Skills (desired) Knowledge of HTML, CSS and JS Experience in Web Apps using React Framework Exposure to API concepts using NodeJS

Job Roles & Responsibilities - Develop and maintain backend services using Java, Spring Boot, and Java 11/17. - Implement and optimize database solutions with MongoDB, MySQL, and PostgreSQL. - Collaborate on AI/ML solution development and integrate LLM models for innovative product features. - Fine-tune and deploy ML/DL frameworks and microservices on AWS. - Design, build, and manage relational and non-relational databases. - Engage in prompt engineering and development of agentic AI solutions. - Contribute to the enhancement and maintenance of existing backend systems. - Ensure efficient performance and scalability of applications. Cultural Expectations - Collaborate effectively with cross-functional teams to deliver innovative AI solutions. - Embrace continuous learning and upskilling, especially in AI and ML technologies. - Communicate complex technical concepts clearly to non-technical stakeholders. - Show adaptability in a dynamic work environment, embracing change and new technologies. - Engage proactively in discussions, providing constructive feedback and receiving it with an open mind. - Maintain a positive and inclusive attitude, valuing diversity in all interactions. - Exhibit a strong work ethic and accountability for tasks and projects. Hiring Process R1: Profile Shortlisting R2: DSA + coding with Flexiple R3: Tech interview-DSA R4: Tech interview-Coding round (Java) R5: Managerial round (Techno-fitment)

We are seeking a proactive Analyst to support the development and validation of an AI/ML-powered pharmacovigilance product. This hybrid role requires a strong understanding of pharmacovigilance workflows, regulatory expectations/guidelines and the ability to translate those into system requirements and validation logic. You’ll also be involved in end-to-end functional testing, ensuring the product compliance. Key Responsibilities: Collaborate with the subject matter experts (SMEs) and the technical team to gather document functional and regulatory requirements for each module. Define and prioritize user stories, acceptance criteria, and data mapping specifications. Act as a bridge between business teams and technical teams to ensure alignment on product goals. Assist in regulatory compliance discussions and documentation. Perform testing and validation of the application to ensure it meets all the specified requirements and compliance. Validate data integrity, completeness, and compliance with safety reporting regulations. Required Skills & Qualifications: Experienced analyst who can perform a hybrid role of Business Analyst and QA Specialist for an AI/ML Product Familiarity with regulations and safety data standards. Proficiency in tools like JIRA, Confluence, and familiarity with Office / M365 tools. Experience in functional testing, validation and User Acceptance Testing (UAT). Excellent analytical thinking, attention to detail, and documentation skills. Nice to Have: Exposure to AI/ML product, especially with NLP and LLMs in healthcare. Experience working with AI/ML product requirements gathering or validating AI-generated data. Knowledge of validation frameworks. Educational Background: Bachelor’s or Master’s in Life Sciences, Pharmacy, Computer Science, Bioinformatics, or related discipline. Certifications with respect to domain or product development or BA or QA is an advantage. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: AI in Life Sciences, Healthcare & Pharmacovigilance: 2 years (Preferred) Work Location: In person Speak with the employer +91 9310819196

🚀 We’re Hiring: Freshers | Mobile App Developers with Passion for AI & Cloud 📍 Chennai | 🌐 Hybrid Work | 🧠 AI-Integrated Dev | Azure DevOps Stack At Active Vertex , we are on a mission to transform how fintech and SME ecosystems operate across Africa and beyond. With operations active in South Africa and Kenya , and expanding rapidly across emerging markets, we are looking to build the next generation of developers who can power our global fintech platform. We are now hiring fresh graduates who are not only technically skilled but also deeply passionate about building AI-driven, cloud-native mobile applications . 🌟 Who Should Apply? We are looking for FRESHERS who: Are passionate about Mobile App Development Android (Kotlin/Java), iOS (Swift), and/or Hybrid frameworks like Flutter or React Native Are enthusiastic about Cloud Technology Exposure to or keen to learn Microsoft Azure and Azure DevOps Have curiosity around AI in App Development Interest in integrating AI/ML, OpenAI, GPT APIs, or cognitive services into modern applications Are fast learners, problem solvers, and motivated team players 💼 Responsibilities Develop and maintain high-quality mobile applications across platforms Work alongside senior developers to integrate AI features and automation workflows Use Azure DevOps pipelines and CI/CD for agile, production-grade releases Collaborate in a cross-functional, agile team environment 💡 What You’ll Gain Real exposure to global fintech platforms and real users in Africa Work in a startup culture where your code directly shapes the product Deep learning curve in Mobile + Cloud + AI Direct mentorship and growth from senior engineers and business leaders A supportive and innovation-first environment 📩 How to Apply 📧 Send your CV along with a brief note on why Mobile + AI excites you to: Inbox@activevertex.com 📍 Location: Chennai-based preferred (Hybrid options available) 🗓️ Deadline: 31 st July 2025

Position Title: Data Scientist Experience Level: 2-3 years Location: Delhi/NCR, India Position Summary and Scope We are seeking a motivated and innovative Data Scientist with 2-3 years of hands-on experience to join our dynamic team in Delhi/NCR. The ideal candidate will hold a B.E/B.Tech/M.Tech or MCA degree and possess strong Python programming skills. This role is central to our efforts in leveraging artificial intelligence and machine learning to drive business value. You will be responsible for the end-to-end development and deployment of AI/ML models, ensuring high standards of code quality. Areas of Responsibilities 1. AI/ML Development & Deployment: a. Design, develop, train, and validate machine learning and deep learning models to address business problems. b. Deploy these models into production environments, ensuring reliability and performance using appropriate frameworks. c. Collaborate with cross-functional teams including engineers, and domain experts to define problem statements and deliver AI-powered solutions. d. Process and analyze large datasets, both structured and unstructured, to extract meaningful insights and prepare data for modeling. 2. Code Quality & Best Practices: a. Write clean, efficient, well-documented, and production-ready Python code. b. Adhere to software development best practices, including version control (Git), code reviews, and testing methodologies. c. Ensure reproducibility and maintainability of all analytical work and model development processes. 3. Research & Innovation: a. Conduct research and experiment with novel algorithms and technologies to enhance existing solutions and develop new capabilities. b. Translate research findings into actionable development plans and contribute to a culture of innovation within the team. c. Participate in brainstorming sessions, workshops, and knowledge-sharing activities. Qualification and Experience Qualification: Bachelor of Technology (B.Tech)/ Master of Technology (M.Tech) or Master of Computer Applications (MCA) from a reputable institution. Experience: 2-3 years of proven hands-on experience in a Data Scientist role or a similar position involving AI/ML model development and deployment. Key Skills and Core Competencies 1.Functional Competencies: a. Strong analytical and problem-solving skills with the ability to translate business requirements into data science problems. b. Excellent understanding of statistical concepts and their application in data analysis (specifically differential statistics). c. Good communication and collaboration skills. d. Attention to detail and commitment to delivering high-quality work. 2. Technical Competencies: a. Proficiency in Machine Learning algorithms (e.g., regression, classification, clustering, ensemble methods). b. Good understanding and practical experience in Deep Learning frameworks and architectures (e.g., CNNs, RNNs, Transformers). c. Expertise in Natural Language Processing (NLP) techniques and libraries. d. Experience with Computer Vision (CV) concepts and tools. e. Strong knowledge of Differential Statistics and its application. f. Experience in API Development for model deployment (e.g., Flask, FastAPI). Key Tools and Platforms: - Programming Language: Expert proficiency in Python and its associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Version Control: Proficient in using Git for code management and collaboration. - Data Visualization: Experience with PowerBI and/or Tableau for creating insightful dashboards and reports. - Spreadsheet Tools: Proficiency in MS Excel for data manipulation and analysis.

Job Title: AI Engineer Location: Chennai, India Employment Type: Full-Time Reports To: CMD ( later to the CTO) 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 Open AI 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.

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Associate Project Manager – AI/ML Experience: 8+ years (including 3+ years in project management) Notice Period: Immediate to 15 days Location: Coimbatore / Chennai 🔍 Job Summary We are seeking experienced Associate Project Managers with a strong foundation in AI/ML project delivery. The ideal candidate will have a proven track record of managing cross-functional teams, delivering complex software projects, and driving AI/ML initiatives from conception to deployment. This role requires a blend of project management expertise and technical understanding of machine learning systems, data pipelines, and model lifecycle management. ✅ Required Experience & Skills 📌 Project Management Minimum 3+ years of project management experience, including planning, tracking, and delivering software projects. Strong experience in Agile, Scrum, and SDLC/Waterfall methodologies. Proven ability to manage multiple projects and stakeholders across business and technical teams. Experience in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart. 🤖 AI/ML Technical Exposure (Must-Have) Exposure to AI/ML project lifecycle: data collection, model development, training, validation, deployment, and monitoring. Understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). Familiarity with MLOps practices, model versioning, and CI/CD pipelines for ML. Experience working with data scientists, ML engineers, and DevOps teams to deliver AI/ML solutions. Ability to translate business problems into AI/ML use cases and manage delivery timelines. 🧩 Leadership & Communication Strong leadership, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Ability to influence and gain buy-in from executive sponsors and cross-functional teams. Experience in building and maintaining relationships with business leaders and technical teams. 🎯 Roles & Responsibilities Lead AI/ML and software development projects from initiation through delivery. Collaborate with data science and engineering teams to define project scope, milestones, and deliverables. Develop and maintain detailed project plans aligned with business goals and technical feasibility. Monitor progress, manage risks, and ensure timely delivery of AI/ML models and software components. Coordinate cross-functional teams and ensure alignment between business, data, and engineering stakeholders. Track project metrics, ROI, and model performance post-deployment. Ensure compliance with data governance, security, and ethical AI standards. Drive continuous improvement in project execution and delivery frameworks. Stay updated on AI/ML trends and contribute to strategic planning for future initiatives.

🚀 We’re Hiring: Generative AI Architect | Noida (Hybrid) Experience: 10+ years (with 2–3 years in GenAI/LLMs) Type: Full-Time | Hybrid (Noida) Are you passionate about shaping the future of AI? We’re on the lookout for a Generative AI Architect to lead the design, development, and deployment of next-generation GenAI solutions that power enterprise-scale applications. This is your opportunity to work at the intersection of AI innovation and real-world impact—building intelligent systems using cutting-edge models like GPT, Claude, LLaMA, and Mistral. 🔍 What You’ll Do: Architect and implement secure, scalable GenAI solutions using LLMs. Design state-of-the-art RAG pipelines using LangChain, LlamaIndex, FAISS, etc. Lead prompt engineering and build reusable modules (e.g., chatbots, summarizers). Deploy on cloud-native platforms: AWS Bedrock, Azure OpenAI, GCP Vertex AI . Integrate GenAI into enterprise products in collaboration with cross-functional teams. Drive MLOps best practices for CI/CD, monitoring, and observability. Explore the frontier of GenAI—multi-agent systems, fine-tuning, and autonomous agents. Ensure compliance, security, and data governance in all AI systems. ✅ What We’re Looking For: 8+ years in AI/ML, with 2–3 years in LLMs or GenAI. Proficiency in Python , Transformers, LangChain, OpenAI SDKs. Experience with Vector Databases (Pinecone, Weaviate, FAISS). Hands-on with cloud platforms: AWS, Azure, GCP. Knowledge of LLM orchestration (LangGraph, AutoGen, CrewAI). Familiarity with tools like MLflow, Docker, Kubernetes, FastAPI. Strong understanding of GenAI evaluation metrics (BERTScore, BLEU, GPTScore). Excellent communication and architectural leadership skills. 🌟 Nice to Have: Experience fine-tuning open-source LLMs (LoRA, QLoRA). Exposure to multi-modal AI systems (text-image, speech). Domain knowledge in BFSI, Healthcare, Legal, or EdTech. Published research or open-source contributions in GenAI. 📍 Location: Noida (Hybrid) 🌐 Apply Now and be part of the GenAI transformation. Let’s build the future—one intelligent system at a time. 💡 #GenerativeAI #LLM #AIArchitect #MachineLearning #LangChain #VertexAI #GenAIJobs #PromptEngineering #Hiring #TechJobs #AIInnovation

Job Title: Global Chief Marketing Officer (CMO) Location: Pune, India (Global Mandate) Reports to: CEO / Co-Founders Function: Global Marketing, Brand Strategy, Communications About Company Is a cutting-edge Deep Tech company at the forefront of Predictive AI for the mobility and transportation sectors. With proprietary technologies in Digital Twin Modeling, Edge Computing, and AI-led Failure Prediction, We empower OEMs and fleet operators globally to unlock unprecedented levels of reliability, efficiency, and cost savings. Backed by leading investors, is now entering its next phase of growth—expanding globally and deepening product penetration across international markets. Role Summary As the Global CMO, you will lead all strategic marketing efforts to position the org as a global leader in Predictive AI and Deep Tech. Based in Pune, you will oversee branding, product marketing, thought leadership, PR, and demand generation, ensuring a consistent global narrative and measurable impact across regions. Key Responsibilities - Brand Leadership: Define and execute a global brand positioning strategy to establish the company as a pioneer in Predictive AI and Deep Tech. - Global Marketing Strategy: Own the end-to-end marketing roadmap across North America, India, the Middle East, and emerging markets—ensuring regional resonance with unified brand identity. - Thought Leadership & PR: Amplify voice through whitepapers, keynotes, analyst engagement, and media partnerships. - Product Marketing: Translate complex AI technologies into compelling product narratives that resonate with technical and business audiences. - Demand Generation & Growth Marketing: Lead full-funnel demand generation strategies—digital, content, performance, and ABM—with strong Sales alignment and measurable ROI. - Data-Driven Execution: Leverage analytics, attribution models, and campaign insights to drive continuous marketing optimization. - GTM Partnership: Align closely with Sales, Product, and Customer Success teams to drive feedback loops and go-to-market strategy. - Leadership & Team Building: Build and mentor a high-performance global marketing team. - Stakeholder Communication: Advise the CEO/founders on brand, perception, positioning, and marketing-led growth levers. What We're Looking For - 12+ years of marketing experience, with 5+ years in a global leadership role. - Proven track record in branding and scaling Deep Tech, AI/ML, or SaaS companies. - Experience launching products into international markets with localized strategies. - Strong expertise in product marketing and complex B2B solution positioning. - Fluency in data-led marketing and demand generation. - Ability to manage cross-regional teams and execute integrated campaigns. - Excellent storytelling, simplification of complex tech, and founder alignment. Preferred Qualifications - MBA or equivalent in Marketing/Strategy/Communications from a top-tier institution. - Experience in mobility, industrial AI, or automotive technology. - Background in scaling brands from Series A/B to global recognition. Why Join Us - Shape the global marketing narrative of a Deep Tech pioneer. - Work alongside visionary founders and top-tier R&D teams. - Lead global growth from the innovation hub of Pune. - Drive the future of predictive intelligence in mobility and beyond.

We are transforming the financial services community which is in constant evolution. Like professional dancers we are experts in our field and are defining new pathways for financial services to serve the world. With our agility we make technology simple & accessible for our users. We all work together to achieve the best solutions for our clients. Tell us what your ambitions are, we will choreograph your career and take it to the next level! Job Role: • Use ML and Generative AI tools to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models • Architect and create scalable ML and Generative AI solutions for business problems • Work closely with account team to drive the business Requirements: 7+ years of related industry experience in the machine learning domain 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience in Torch, RNN, reinforcement learning Expertise in Python with the ability to write performant production-quality code Familiarity with SQL Experience building and scaling machine learning models in business applications using large amounts of data Experience building NLP related applications using LLM Academic Requirements Bachelors and above degree in a quantitative subject (Statistics, Mathematics, Computer Science,)

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Keysight India is looking for talented fresher for its electronics measurement business in the areas of Sales, Support and Applications. The interested candidate needs to have strong technical competency in areas of Wireless Technologies including 5G/6G, Memory and Peripheral Interconnect technologies, optical communications including PAM4 and PAM16, Quantum Engineering, and RF, Microwave and Satellite communication technologies. The candidate needs to have strong interpersonal skills and a flair for meeting and communicating with the customers. The selected candidates will go through a rigorous training process that enables the transformation of an individual from a student to a thoroughbred professional. Responsibilities The candidate should have a complete understanding of the technologies including 4G/5G mobile communication, memory and peripheral interconnects, optical communications, quantum engineering, RF, Microwave & Satellite Communications. It is essential for candidate to have strong software scripting knowledge on Python, C++ and C#. Knowledge of software automation using Keysight PathWave and good exposure to AI/ML techniques will be an added advantage. The primary job of candidates is to analyze customers’ requirements and recommend appropriate solutions, run demos and sample analysis. Candidates have technical qualifications in Keysight solutions through product information, product presentations, product demos to the customers. Solution engineers must assist the field organization to meet or exceed sales quota, through the provision of technical expertise. They should lead projects requiring coordination with other functions, customers, third parties, solve a broad range of problems of varying scope and complexity. As a technical partner with sales development functions, the candidate is required to deliver technical seminars and presentations. Candidates will need to learn sales tools and use analytical tools to analyze customer profiles, markets, trends, funnel management etc. Candidate should advise company on market trends, build strategies, and plans with the team to continue winning the markets for Keysight. Qualifications Qualification: B.E. or B.Tech or M.Tech in Electronics & Communication or Computer Science with CGPA of >8/10 Experience: Campus hire (0-1 Year) Location of operation: Delhi/Hyderabad/Bangalore. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Summary Position Summary Job title: Google SecOps (GCP Chronicle) (Senior Consultant/ Consultant) About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk Management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and RPA to solve Deloitte’s clients ‘most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. The Team Cyber & Strategic Risk We help organizations create a cyber-minded culture, reimagine risk to uncover strategic opportunities, and become faster, more innovative, and more resilient in the face of ever-changing threats. We provide intelligence and acuity that dynamically reframes risk, transcending a manual, reactive paradigm. The cyber risk services—Identity & access management (IAM) practice helps organizations in designing, developing, and implementing industry-leading IAM solutions to protect their information and confidential data, as well as help them build their businesses and supporting technologies to be more secure, vigilant, and resilient. The IAM team delivers service to clients through following key areas: User provisioning Access certification Access management and federation Entitlements management Work you’ll do Design, implement, and manage security solutions for Google Cloud Platform (GCP) environments Configure and manage GCP security services, such as Cloud Identity and Access Management (IAM), Cloud Key Management Service (KMS), and Cloud Identity-Aware Proxy (IAP) Implement and maintain security policies and procedures Monitor for security threats and incidents Respond to security incidents and vulnerabilities Manage security risks and compliance requirements Develop and maintain Chronicle SIEM/SOAR playbooks to automate security tasks on GCP Investigate and respond to security incidents on GCP using Chronicle SIEM/SOAR Work with other security teams to integrate Chronicle SIEM/SOAR with other security solutions on GCP Keep up to date on the latest GCP security threats and trends Required Skills Overall experience of 5 to 8 Years for Senior Consultant and 3+ years for a consultant 3+ years of experience in cloud security 2+ years of experience with GCP 2+ years of experience with Chronicle SIEM/SOAR Experience with security monitoring and incident response Experience with risk management and compliance Strong understanding of GCP security best practices Experience and understanding of Apigee API management platform Excellent communication and interpersonal skills Ability to work independently and as part of a team Qualification Bachelor’s Degree required. Ideally in Computer Science, Cyber Security, Information Security, Engineering, Information Technology. How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters . Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you . Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people . © 2023. See Terms of Use for more information. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 304104

Optimum Data Analytics is a strategic technology partner delivering reliable turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives Job Title : Full Stack Developer – React.js, Python, SQL & NoSQL Location : Bangalore Experience : 4-7 years Required Skills Frontend React.js with Shadcn, Redux, HTML5, CSS3, tailwind CSS Backend Python, Flask / FastAPI Databases SQL Server, MongoDB API Integration REST APIs Version Control Git, GitHub Testing Jest, PyTest Postman, Swagger Deployment (Plus) Docker, CI/CD, Linux scripting Skills: ci/cd,tailwind css,mongodb,sql,html5,fast api,shadcn,fastapi,python,postman,redux,jest,git,linux scripting,rest apis,docker,pytest,swagger,backend python,css3,react.js,github,sql server,flask

:-Job Title: Machine Learning Engineer – 2 Location: Onsite – Bengaluru, Karnataka, India Experience Required: 3 – 6 Years Compensation: ₹20 – ₹25 LPA Employment Type: Full-Time Work Mode: Onsite Only (No Remote) About the Company:- A fast-growing Y Combinator-backed SaaS startup is revolutionizing underwriting in the insurance space through AI and Generative AI. Their platform empowers insurance carriers in the U.S. to make faster, more accurate decisions by automating key processes and enhancing risk assessment. As they expand their AI capabilities, they’re seeking a Machine Learning Engineer – 2 to build scalable ML solutions using NLP, Computer Vision, and LLM technologies. Role Overview:- As a Machine Learning Engineer – 2, you'll take ownership of designing, developing, and deploying ML systems that power critical features across the platform. You'll lead end-to-end ML workflows, working with cross-functional teams to deliver real-world AI solutions that directly impact business outcomes. Key Responsibilities:- Design and develop robust AI product features aligned with user and business needs Maintain and enhance existing ML/AI systems Build and manage ML pipelines for training, deployment, monitoring, and experimentation Deploy scalable inference APIs and conduct A/B testing Optimize GPU architectures and fine-tune transformer/LLM models Build and deploy LLM applications tailored to real-world use cases Implement DevOps/ML Ops best practices with tools like Docker and Kubernetes Tech Stack & Tools Machine Learning & LLMs GPT, LLaMA, Gemini, Claude, Hugging Face Transformers PyTorch, TensorFlow, Scikit-learn LLMOps & MLOps Langchain, LangGraph, LangFlow, Langfuse MLFlow, SageMaker, LlamaIndex, AWS Bedrock, Azure AI Cloud & Infrastructure AWS, Azure Kubernetes, Docker Databases MongoDB, PostgreSQL, Pinecone, ChromaDB Languages Python, SQL, JavaScript What You’ll Do Collaborate with product, research, and engineering teams to build scalable AI solutions Implement advanced NLP and Generative AI models (e.g., RAG, Transformers) Monitor and optimize model performance and deployment pipelines Build efficient, scalable data and feature pipelines Stay updated on industry trends and contribute to internal innovation Present key insights and ML solutions to technical and business stakeholders Requirements Must-Have:- 3–6 years of experience in Machine Learning and software/data engineering Master’s degree (or equivalent) in ML, AI, or related technical fields Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn Familiarity with ML Ops, model deployment, and production pipelines Experience working with LLMs and modern NLP techniques Ability to work collaboratively in a fast-paced, product-driven environment Strong problem-solving and communication skills Bonus Certifications such as: AWS Machine Learning Specialty AWS Solution Architect – Professional Azure Solutions Architect Expert Why Apply Work directly with a high-caliber founding team Help shape the future of AI in the insurance space Gain ownership and visibility in a product-focused engineering role Opportunity to innovate with state-of-the-art AI/LLM tech Be part of a fast-moving team with real market traction 📍 Note: This is an onsite-only role based in Bengaluru. Remote work is not available. Skills: mongodb,pytorch,aws,javascript,python,azure,llms and modern nlp techniques,computer vision,chromadb,tensorflow,docker,scikit-learn,mlops,ml ops,kubernetes,ml, ai,nlp,llm,software/data engineering,python, pytorch/tensorflow, and scikit-learn,pinecone,postgresql,machine learning,llms,llm technologies,sql,devops

Data Analyst – Travel Industry Experience: 2–3 Years Employment Type: Full-Time About the Role:- We are seeking a detail-oriented and data-driven Data Analyst with 2–3 years of experience in the travel and tourism industry . The ideal candidate should be proficient in Excel, Salesforce, and Power BI , and capable of converting raw data into meaningful insights that drive business decisions. This role involves close collaboration with cross-functional teams including sales, marketing, operations, and customer support. Key Responsibilities:- Collect, clean, and analyze data from various sources such as Salesforce, booking engines, and internal systems. Design, develop, and maintain Power BI dashboards and reports to monitor key performance indicators (KPIs), customer behavior, and sales performance. Utilize advanced Excel skills for data modeling, forecasting, and reporting. Provide data-driven insights and trends to support business strategy, pricing models, and market segmentation. Assist sales and marketing teams in lead scoring, performance tracking, and campaign analysis using Salesforce. Identify opportunities for process improvements through data analysis. Prepare regular business reports for leadership and stakeholders with clear visualizations and insights. Ensure data integrity and consistency across platforms and tools. Requirements:- Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field. 2–3 years of experience as a Data Analyst, preferably in the travel, tourism, or hospitality industry . Strong hands-on experience with Microsoft Excel (VLOOKUP, PivotTables, macros, etc.). Proficient in Salesforce CRM for data extraction, analysis, and report generation. Working experience in Power BI or other data visualization tools (e.g., Tableau, Qlik). Good understanding of business processes in the travel domain (e.g., bookings, packages, lead conversions). Strong analytical and problem-solving skills. Excellent communication skills with the ability to present insights in a clear and concise manner. Preferred Qualifications:- Knowledge of SQL or basic scripting for data manipulation. Experience working with APIs or third-party travel platforms (GDS, OTA tools, etc.). Familiarity with customer lifecycle management and customer segmentation models. All About Thrillophilia:- At Thrillophilia, we're on a mission to make travel planning and booking effortless, so that travelers can focus on creating unforgettable memories. Thrillophilia’s journey is rooted in a passion for travel, exploration, and adventure. It began back in 2011 when the global market was still too young for online travel transactions. Ever since, we have grown to become India’s largest online platform for experiential travel. An annual traffic of 150M+ Users, 5M+ Happy Customers, and a strong presence of 2.2M on our Instagram, reflects our commitment to providing memorable experiences and inspiring travelers worldwide. Our platform boasts diverse and wholesome offerings, featuring over 25,000 experiences and 2,500 holiday packages in over 150+ Destinations. From adventurous and offbeat travel to luxurious options, our aim is to provide our customers with the best experiences possible. Thrillophilia simplifies travel planning by creating personalized experiences using our expertise in destinations, local networks, AI/ML logics, and automation. Our team provides a human touch, and on-trip support ensures the best trip of your life. Bringing the finest travel ideas together, our team comprises young and lively folks who are passionate about travel, technology, marketing, partnerships, and more. Together, we have achieved many brilliant titles, such as YourStory’s best places to Work (2013), ISB’s BizQuest (2014), Singapore Bash’s best startups (2016), London Mayor’s IE20 (2017), and more.

We're hiring for one of the world's leading steel and mining company, exerting our influence across 60+ countries with a robust industrial footprint in 18. We are a global team of 158,00+ talented individuals committed to building a better world with smarter low-carbon steel. Our strategies are not just about scale; they're also about leading a transformative change where innovation meets sustainability. With a presence in over 150 countries, this organisation provides services across consulting, audit, tax, risk advisory, and financial advisory — helping Fortune 500 companies and governments navigate complex challenges. Position Summary: IT- Lead Engineer/Architect- Azure Lake -D&IT DATA This profile will lead a team of architects and engineers to focus on Strategic Azure architecture and AI projects. Job Responsibility: Strategic Data Architecture and Roadmap: Develop and maintain the company's data architecture strategy aligned with business objectives. Lead design and/or architecture validation reviews with all stakeholders, assess projects against architectural principles and target solutions, organize and lead architecture committees. Select new solutions that meet business needs, aligned with existing recommendations and solutions, and broadly with IS strategy. Model the company's information systems and business processes. Define a clear roadmap to modernize and optimize data management practices and technologies. Platform Design and Implementation: Architect scalable data flows, storage solutions, and analytics platforms in cloud and hybrid environments. Ensure secure, high-performing, and cost-effective data solutions. Data Governance and Quality: Establish data governance frameworks ensuring data accuracy, availability, and security. Promote and enforce best practices for data quality management. Ensure compliance with enterprise architecture standards and principles. Technical Leadership: Act as a technical leader on complex data-related projects and proof of concepts. Stakeholder Collaboration: Collaborate with business stakeholders to understand data needs and translate them into architectural solutions. Work with relevant stakeholders in defining project scope, planning development, and validating milestones throughout project execution. Emerging Technologies and Innovation: Drive the adoption of new technologies and assess their impact on the organization's data strategy. Conduct technological watch in both company activity domains and IT technologies, promoting innovative solutions adapted to the company. Define principles, standards, and tools for system modeling and process management. Support a wide range of technologies related to Datalakes and Lakehouses SQL, SYNAPSE, Databricks, Powerbi, Fabric Tools: Visual Studio & TFS, GIT. Database: SQL Server. Methodologies: Agile (SCRUM). SAP BW / SAC Requirements Required Skill: Proven ability leading Architecture/AI/ML projects from conception to deployment Deep knowledge of cloud data platforms (Microsoft Azure, Fabric, Databricks). Expert in SAP-based technologies (SAP BW, SAP DataSphere, HANA, S/4, ECC). Deep knowledge of data modeling, ETL/ELT technologies, and big data. Deep knowledge of relational and NoSQL databases. Deep knowledge of data security and compliance best practices Experience with AI/ML concepts and technologies Experience in designing and implementing AI solutions within cloud architecture Familiarity with data mesh and data fabric architectural approaches. Qualification and Experience: Experience - 8-10 years Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience with visualization, reporting, and self-service tools (Power BI, Tableau, SAP Analytics Cloud). Experience in data architecture, with at least 3 years in a leadership role. Experience With AI/ML Projects Is Highly Preferred. Certifications in data architecture or cloud technologies, project management 3-year experience as project lead in large scale projects. 5-year experience in development in large scale projects with Azure, Synapse and Databricks Excellent communication, stake holder management, and presentation skills for both technical and non-technical audiences. Strong problem-solving skills and the ability to navigate complexity. Benefits Safety: We prioritize a proactive safety-first culture where every employee is empowered to identify and address risks, ensuring a safe working environment for all. Sustainability: We aim for long-term profitability by adapting to evolving social and environmental trends, investing in a circular and decarbonized future for steel, and contributing to a better world. Quality: We strive for excellence in products, processes, and performance through innovation, operational expertise, and a commitment to exceeding customer expectations. Leadership: We maintain a leading position through visionary thinking, a willingness to challenge conventions, and a drive to redefine steel for a new generation through innovation and strategic partnerships

Job Title: Senior Test Automation Lead – Playwright (AI/ML Focus) Location: Hyderabad Job Type: Full-Time Experience Required: 8+ years in Software QA/Testing, 3+ years in Test Automation using Playwright, 2+ years in AI/ML project environments --- About the Role: We are seeking a passionate and technically skilled Senior Test Automation Lead with deep experience in Playwright-based frameworks and a solid understanding of AI/ML-driven applications. In this role, you will lead the automation strategy and quality engineering practices for next-generation AI products that integrate large-scale machine learning models, data pipelines, and dynamic, intelligent UIs. You will define, architect, and implement scalable automation solutions across AI-enhanced features such as recommendation engines, conversational UIs, real-time analytics, and predictive workflows, ensuring both functional correctness and intelligent behavior consistency. --- Key Responsibilities: Test Automation Framework Design & Implementation · Design and implement robust, modular, and extensible Playwright automation frameworks using TypeScript/JavaScript. · Define automation design patterns and utilities that can handle complex AI-driven UI behaviors (e.g., dynamic content, personalization, chat interfaces). · Implement abstraction layers for easy test data handling, reusable components, and multi-browser/platform execution. AI/ML-Specific Testing Strategy · Partner with Data Scientists and ML Engineers to understand model behaviors, inference workflows, and output formats. · Develop strategies for testing non-deterministic model outputs (e.g., chat responses, classification labels) using tolerance ranges, confidence intervals, or golden datasets. · Design tests to validate ML integration points: REST/gRPC API calls, feature flags, model versioning, and output accuracy. · Include bias, fairness, and edge-case validations in test suites where applicable (e.g., fairness in recommendation engines or NLP sentiment analysis). End-to-End Test Coverage · Lead the implementation of end-to-end automation for: o Web interfaces (React, Angular, or other SPA frameworks) o Backend services (REST, GraphQL, WebSockets) o ML model integration endpoints (real-time inference APIs, batch pipelines) · Build test utilities for mocking, stubbing, and simulating AI inputs and datasets. CI/CD & Tooling Integration · Integrate automation suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar. · Configure parallel execution, containerized test environments (e.g., Docker), and test artifact management. · Establish real-time dashboards and historical reporting using tools like Allure, ReportPortal, TestRail, or custom Grafana integrations. Quality Engineering & Leadership · Define KPIs and QA metrics for AI/ML product quality: functional accuracy, model regression rates, test coverage %, time-to-feedback, etc. · Lead and mentor a team of automation and QA engineers across multiple projects. · Act as the Quality Champion across the AI platform by influencing engineering, product, and data science teams on quality ownership and testing best practices. Agile & Cross-Functional Collaboration · Work in Agile/Scrum teams; participate in backlog grooming, sprint planning, and retrospectives. · Collaborate across disciplines: Frontend, Backend, DevOps, MLOps, and Product Management to ensure complete testability. · Review feature specs, AI/ML model update notes, and data schemas for impact analysis. --- Required Skills and Qualifications: Technical Skills: · Strong hands-on expertise with Playwright (TypeScript/JavaScript). · Experience building custom automation frameworks and utilities from scratch. · Proficiency in testing AI/ML-integrated applications: inference endpoints, personalization engines, chatbots, or predictive dashboards. · Solid knowledge of HTTP protocols, API testing (Postman, Supertest, RestAssured). · Familiarity with MLOps and model lifecycle management (e.g., via MLflow, SageMaker, Vertex AI). · Experience in testing data pipelines (ETL, streaming, batch), synthetic data generation, and test data versioning. Domain Knowledge: · Exposure to NLP, CV, recommendation engines, time-series forecasting, or tabular ML models. · Understanding of key ML metrics (precision, recall, F1-score, AUC), model drift, and concept drift. · Knowledge of bias/fairness auditing, especially in UI/UX contexts where AI decisions are shown to users. Leadership & Communication: · Proven experience leading QA/Automation teams (4+ engineers). · Strong documentation, code review, and stakeholder communication skills. · Experience collaborating in Agile/SAFe environments with cross-functional teams. --- Preferred Qualifications: · Experience with AI Explainability frameworks like LIME, SHAP, or What-If Tool. · Familiarity with Test Data Management platforms (e.g., Tonic.ai, Delphix) for ML training/inference data. · Background in performance and load testing for AI systems using tools like Locust, JMeter, or k6. · Experience with GraphQL, Kafka, or event-driven architecture testing. · QA Certifications (ISTQB, Certified Selenium Engineer) or cloud certifications (AWS, GCP, Azure). --- Education: · Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline. · Bonus for certifications or formal training in Machine Learning, Data Science, or MLOps. --- Why Join Us? · Work on cutting-edge AI platforms shaping the future of [industry/domain]. · Collaborate with world-class AI researchers and engineers. · Drive the quality of products used by [millions of users / high-impact clients]. · Opportunity to define test automation practices for AI—one of the most exciting frontiers in tech.

Company Brief House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains. Currently House of Shipping is looking to identify a high caliber Technology Lead . This position is an on-site position for Hyderabad . Background and experience: 15–18 years of experience in leading warehouse/supply chain tech platforms Hands-on implementation of 2 or more large-scale WMS systems in a multi-warehouse or e-commerce environment Proven track record in warehouse automation integration and fulfillment process optimization Experience working with API-first ecosystems, microservice architectures, and distributed deployments Job purpose: To lead the technical design, implementation, and continuous evolution of the organization’s Warehouse Management Systems and Supply Chain Solutions. This role ensures robust, scalable, and digitally advanced logistics technology that aligns with operational excellence across fulfillment, warehousing, distribution, and last-mile delivery. Main tasks and responsibilities: Architect, integrate, and optimize large-scale WMS platforms (e.g., Manhattan, Blue Yonder, Oracle WMS, SAP EWM) for multi-site warehouse networks Lead end-to-end software delivery for supply chain visibility solutions including order orchestration, inventory management, and transportation planning Define technical architecture across APIs, microservices, and databases ensuring responsiveness, scalability, and maintainability Collaborate with business and operations teams to automate warehouse processes such as put-away, wave picking, cross-docking, slotting optimization, and ASN validation Oversee integration with ERP (SAP, Oracle), TMS, barcode/RFID systems, and IoT warehouse devices (conveyors, sensors, handhelds) Drive DevOps automation, CI/CD pipeline design, and version control governance using tools like GitHub Actions, Jenkins, or Azure DevOps Ensure uptime, performance, and monitoring of mission-critical WMS infrastructure (using tools like Prometheus, Grafana, New Relic) Lead evaluation and implementation of emerging technologies (cloud-native WMS, API orchestration, ML-based replenishment models) Mentor senior engineers and technical leads on scalable design, security, and system modularization Ensure compliance with data governance, audit standards, and IT policies across all warehouses and service centers Education requirements: Bachelor’s or Master’s in Computer Science, Information Systems, Industrial Engineering Preferred: Certifications in WMS platforms (e.g., Manhattan, SAP EWM), Cloud (AWS/Azure), or TOGAF Competencies and skills: Deep domain knowledge in warehouse operations and distribution logistics Technical leadership across backend, infrastructure, and integration Expertise in WMS platform configuration, extension, and automation Agile delivery leadership, stakeholder engagement, and cross-functional collaboration Strong analytical thinking with cost-performance orientation Team mentoring, roadmap execution, and transformation delivery

Lead Workday Studio About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Role Overview: The Workday Studio Consultant will be responsible for developing, managing, and supporting integrations between Workday and other systems using the Workday Integration Hub. This role is crucial for ensuring seamless data flow and process automation within the organization’s Workday environment. Experience - 5+ years Work Location - Hyderabad Work-type - Hybrid Responsibilities: 1. Integration Development: Design, develop, and deploy custom integrations using Workday Studio and other integration tools. 2. Integration Hub Expertise: Leverage Workday Integration Hub capabilities to optimize and manage data flows between Workday and other enterprise applications. 3. Technical Support: Provide ongoing support and troubleshooting for existing integrations to ensure they are functioning as intended. 4. Collaboration: Work closely with business stakeholders and other IT teams to understand integration requirements and provide appropriate solutions. 5. Documentation and Best Practices: Maintain comprehensive documentation for all integrations and promote best practices within the team. Qualifications : Experience with Workday Studio: Proficiency in developing complex integrations using Workday Studio. Knowledge of Integration Hub: Strong understanding of Workday’s Integration Hub and its functionalities. Must be able to work using HCM Connectors and HCM Data models. Technical Proficiency: Expertise in integration technologies such as XML, XSLT, SOAP, REST, and API management. Problem Solving and Troubleshooting: Ability to quickly diagnose and resolve integration-related issues. Communication Skills: Strong verbal and written communication skills to collaborate effectively with stakeholders. We Offer: ● Opportunity to work on business challenges from top global clientele with high impact. ● Vast opportunities for self-development, including online university access and sponsored certifications. ● Sponsored Tech Talks, industry events & seminars to foster innovation and learning. ● Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. ● Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Company Brief House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains. Currently House of Shipping is looking to identify a high caliber Data Science Lead . This position is an on-site position for Hyderabad . Background and experience: 15–18 years in data science, with 5+ years in leadership roles Proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing Strong understanding of statistical learning, ML architecture, productionizing models, and impact tracking Job purpose: To lead enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This role blends technical leadership with strategic alignment across business units and manages advanced analytics teams to deliver measurable business impact. Main tasks and responsibilities: Define and drive the data science roadmap across forecasting (demand, returns), route optimization, warehouse simulation, inventory management, and fraud detection Architect end-to-end pipelines with engineering teams: from data ingestion, model development, to API deployment Lead the design and deployment of ML models using Python (Scikit-Learn, XGBoost, PyTorch, LightGBM), and MLOps tools like MLflow, Vertex AI, or AWS SageMaker Collaborate with operations, product, and technology to prioritize AI use cases and define business metrics Manage experimentation frameworks (A/B testing, simulation models) and statistical hypothesis testing Mentor team members in model explainability, interpretability, and ethical AI practices Ensure robust model validation, drift monitoring, retraining schedules, and version control Contribute to organizational data maturity: feature stores, reusable components, metadata tracking Own team hiring, capability development, project estimation, and stakeholder presentations Collaborate with external vendors, universities, and open-source projects where applicable Education requirements: Bachelor’s or Master’s or PhD in Computer Science, Mathematics, Statistics, Operations Research Preferred: Certifications in Cloud ML stacks (AWS/GCP/Azure), MLOps, or Applied AI Competencies and skills: Strategic vision in AI applications across supply chain Team mentorship and delivery ownership Expertise in statistical and ML frameworks MLOps pipeline management and deployment best practices Strong business alignment and executive communication

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI , Agentic AI , and Autonomous Intelligent Systems . We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. As we continue to scale our operations, we are actively seeking talented and passionate professionals to join our team and contribute to building high-performance, scalable, and future-ready technology solutions. Job Overview: We are looking for a skilled Rust Developer with a total of 5 years of IT experience, including at least 3 years of hands-on experience in Rust programming . In this role, you will play a key part in developing high-performance, scalable, and secure systems that support our advanced AI technologies, agentic systems, and autonomous platforms. You will collaborate closely with cross-functional teams to design and develop efficient backend services and system-level components, contributing to the next generation of AI-powered products. Key Responsibilities: Design, develop, and maintain efficient, reliable, and scalable Rust-based code. Work on system-level programming, focusing on high performance, security, and concurrency. Collaborate with engineering teams to integrate Rust modules with AI/ML systems and cloud-based services. Identify bottlenecks and bugs, and devise solutions to address them. Participate in architecture design discussions and technical reviews. Ensure code quality through automated testing, code reviews, and documentation. Research new technologies and continuously improve existing systems. Required Skills: Minimum 3 years of hands-on experience with Rust programming language. Strong understanding of system-level programming , memory management, and concurrency models. Experience with asynchronous programming and multi-threading in Rust. Solid foundation in data structures , algorithms , and design patterns . Familiarity with microservices, REST APIs, and distributed systems. Proficient with version control systems like Git . Knowledge of unit testing and debugging tools in Rust. Good to Have: Experience with WebAssembly (WASM) , embedded systems, or blockchain technologies. Familiarity with other systems languages such as C/C++ or Go . Exposure to cloud platforms like AWS, Azure, or GCP . Familiarity with DevOps practices and CI/CD pipelines. Soft Skills: Strong analytical and problem-solving skills. Excellent collaboration and communication abilities. Passion for learning new technologies and adapting to changing needs. Self-driven with a proactive mindset. Benefits: Work on cutting-edge AI and system-level technologies. Collaborative, innovation-driven environment. Opportunities for growth, upskilling, and career advancement.