23369 Ml Jobs - Page 35

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver major business processes (go-to-market, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line and increase our efficiency. As a Staff Software Engineer, you will play a pivotal role in the design & development of business processes, systems, applications, information and data. While working on this team, you’ll get a chance to make key technology decisions, solve massively complex problems, and develop new skills in the process. You will be results driven and coaching teams to deliver software products at the highest levels of quality and craftsmanship. This position is full-time and based in our Bengaluru office. This role will be based in Bangalore, India. Responsibilities: The ideal candidate will help scale LinkedIn’s productivity engineering team as we continue to experience dramatic growth in our members and the usage of our products with a focus on one or more of the areas below: - Applications and Automation: Design and develop software applications and automation tools to power the Sales & Operations Team and help develop software to boost business as well as sales productivity. - Microservices: Develop end to end Microservices and define work on the next-generation platform for internal applications of LinkedIn. - Enterprise Software: Build and operate the platform that powers Enterprise applications at LinkedIn. The goal is to provide and run in a 24/7 production environment a platform that enables our sales users and employees to be more productive, while at the same time remaining constantly available and performant. - Metrics and Analytics: Work on our enterprise metrics and analytics tool, building the frontend and backend of our enterprise metrics platform. - Service: Provide a technical platform for the Enterprise Software team to build services, which are the essential unit of development and deployment. - Integrations and Data Infrastructure: A focus on building integration with both cloud and on-premises applications and supporting large scale systems and tools that enable the generation of insights and data products on LinkedIn’s internal data via self-serve computing, reporting solutions, and interactive querying. - Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wise critical programs. - Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: - BTech/MCA or equivalent in Computer Science or related technical discipline. - 10+ years of experience in software architecture, design, and development. - 10+ years of experience writing clean and efficient code in Java, Python, and/or C#. Preferred Qualifications: - Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. - Expertise in designing and architecting solutions for distributed and scalable systems. - Experience working with cloud technology such as Azure. - Experience writing scalable and efficient Java for an enterprise product. - Experience using message queues such as Kafka. - Experience using NoSQL databases such as Cosmos DB. - Experience of working with big data technologies like Hadoop and Apache Spark - Experience with AI technologies and frameworks and a strong understanding of machine learning algorithms and data processing techniques. - Skilled in developing AI agents that deconstruct prompts into structured workflows, adapt to real-time feedback, and iteratively refine outputs. - Expert in designing autonomous, context-aware systems that simulate human judgment and adapt to dynamic environments using advanced ML and NLP. - Experienced in extending AI tools with custom or pre-built skills to support tailored workflows and real-time collaboration—enabling intelligent assistance across tasks like automation, code generation, troubleshooting, and cross-functional communication. - Knowledge of (and a passion for) current trends and best practices in full stack architecture, including performance, security, and scalability. - Familiarity and comfort with command-line applications, git source control and other aspects of developing in large, distributed software teams. - Strong written and verbal communicator who is highly organized and able to think entrepreneurially. Suggested Skills: - Full stack development - API Development - Software design - Java or C#, Python - Tools: LangChain, Semantic Kernel, OpenAI GPT, Azure OpenAI India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Sr. Manager, Agentic AI & Automation, you will lead transformative initiatives that drive operational efficiency, optimize workflows, and enable scalable automation across multiple domains within our company. Working in one of the largest global Media & Entertainment companies, this pivotal role offers an exciting opportunity to redefine how we leverage technology to enhance content production, delivery, and customer experiences. You will be responsible for developing and executing automation strategies that integrate seamlessly with our AI and digital transformation objectives, helping us stay ahead of the curve in a highly competitive industry. As Sr. Manager – Automation, you will play a critical role in architecting, deploying, and scaling automation solutions—including emerging Agentic AI capabilities—across key business processes at Warner Bros. Discovery. You will collaborate closely with engineering, AI/ML, product, and business teams to deliver impactful, intelligent automation that streamlines operations, enhances efficiency, and supports business transformation. Your responsibilities include driving the adoption of automation platforms (such as RPA, IPA, and cloud-based tools), integrating Agentic AI for adaptive and context-aware workflow automation, and ensuring solutions are robust, compliant, and measurable. This is a unique opportunity to influence the company’s automation strategy and champion the next wave of AI-enabled enterprise productivity. Automation & Agentic AI Strategy Development Contribute to developing automation and Agentic AI strategies aligned with enterprise objectives. Identify, evaluate, and prioritize automation opportunities, focusing on both traditional automation and advanced AI agents that can autonomously initiate, adapt, and complete tasks across digital workflows. Establish best practices for implementing automation with human-in-the-loop controls to ensure reliability and compliance. Remain up to date with automation and agentic AI trends, leveraging new technologies to elevate business impact. Team Leadership and Management Lead a diverse team of Automation engineers, analysts, and specialists, fostering a culture of innovation, collaboration, and high performance. Mentor and develop team members, ensuring they have the necessary skills and resources to succeed in their roles. Drive the team’s efforts in automating key business processes, with a focus on quality, speed, and precision. Set clear objectives and KPIs for the automation team, monitoring progress and ensuring timely delivery of automation solutions. Encourage a data-driven approach to measure the impact of automation on productivity, cost savings, and overall business outcomes. Automation Architecture and Implementation Lead the design and implementation of scalable, high-performance automation systems across the company’s infrastructure. Ensure that automation solutions are seamlessly integrated into existing workflows, systems, and tools. Oversee the selection and deployment of automation platforms, tools, and technologies, ensuring they meet security, compliance, and operational requirements. Collaborate with IT, AI/ML, and engineering teams to ensure a cohesive and reliable architecture for automation systems. Ensure the automation solutions adhere to industry standards, best practices, and compliance requirements. Cross-Functional Collaboration and Stakeholder Engagement Work closely with business stakeholders, product teams, and senior leadership to understand automation needs and align solutions with strategic goals. Communicate the value and impact of automation initiatives to key stakeholders, ensuring buy-in and active engagement. Establish strong working relationships with external partners, vendors, and consultants to leverage the latest automation technologies. Collaborate with AI and data teams to integrate automation into AI-driven workflows, enabling smarter automation decisions. Manage expectations, mitigate risks, and ensure transparency in the automation project lifecycle, from planning to execution. Automation Governance, Risk Management, and Optimization Establish robust governance frameworks to monitor and manage automation projects, ensuring adherence to budgets, timelines, and quality standards. Identify, assess, and mitigate risks associated with automation implementations, ensuring business continuity and operational stability. Drive optimization efforts to improve the performance and efficiency of automation solutions, ensuring they deliver maximum value over time. Continuously evaluate and refine automation strategies to ensure they remain aligned with evolving business needs and technological advancements. Ensure that automation solutions are secure, scalable, and compliant with relevant industry regulations and standards. Qualifications & Experiences Academic Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or a related technical field from a recognized institution. Additional certifications in automation technologies (e.g., RPA, DevOps, Cloud Computing), Agentic AI or project management (e.g., PMP, Agile) are a plus. Professional Experience 8+ years of experience in automation, with a proven track record of leading large-scale automation initiatives in a technology-driven environment. Extensive experience in automation technologies, including Robotic Process Automation (RPA), Intelligent Process Automation (IPA), workflow automation, and cloud-based automation platforms. Strong understanding of AI, machine learning, and how automation can be integrated with AI-driven solutions for enhanced business performance. At least 3+ years of leadership experience, managing cross-functional, multi-geographic teams, and driving successful automation projects. Demonstrated success in transforming complex business processes into automated, streamlined workflows that drive measurable efficiency gains. Technical Skills Proficiency in automation platforms such as UiPath, and similar technologies. Strong knowledge of AWS cloud. Experience with scripting and automation development using languages like Python, JavaScript, PowerShell, or Shell scripting. Understanding of agentic AI principles—autonomous task agents, dynamic workflow orchestration, human-in-the-loop systems, and adaptive decision engines. Deep understanding of software development life cycle (SDLC), Agile methodologies, and DevOps practices. Familiarity with AI/ML technologies and how they intersect with automation to create intelligent, self-optimizing systems. Other Skills Excellent leadership, team-building, and interpersonal skills with the ability to engage stakeholders at all levels. Strong project management skills, with experience in overseeing end-to-end automation projects, ensuring timely and on-budget delivery. Exceptional communication skills, both written and verbal, with the ability to articulate complex automation strategies to non-technical audiences. Strong analytical and problem-solving skills with a focus on process optimization and continuous improvement. A proactive, self-motivated approach to identifying opportunities for automation and driving their implementation How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Qualifications Required Skills: Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions. Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing and querying. Proficiency in Docker and creating Dockerfiles. Experience in REST API and JSON structures, utilizing Python packages like FastAPI. Skill in working with Git operations. Proficiency in shell scripting. Expertise in using PyCharm for development, debugging, and profiling. Knowledge of Kubernetes. Preferred Skills NLP toolkits such as NLTK, spaCy, Gensim, and scikit-learn; familiarity with fundamental natural language concepts including tokenization, lemmatization, stemming, edit distances, named entity recognition, and syntactic parsing. Advanced knowledge and experience with deep learning frameworks like PyTorch or TensorFlow. Complex operations within Elasticsearch, including creating indices and advanced field indexing. Comprehensive experience with Kubernetes. Skills: framework,sql database interactions,named entity recognition,profiling,rest api,regular expressions,python programming,recursion,lemmatization,json structures,decorators,pycharm,generators,deep learning frameworks (pytorch, tensorflow),tokenization,fastapi,object-oriented programming,edit distances,elasticsearch,stemming,dockerfiles,shell scripting,docker,nlp toolkits (nltk, spacy, gensim, scikit-learn),syntactic parsing,data structures,python,deep learning,ml,git operations,kubernetes,embedding representations,debugging,iterators

About Flutter Entertainment Flutter Entertainment is a global leader in sports betting, gaming, and entertainment, with annual revenues of $11.7 Bn and a customer base of over 12 million players (in 2023) driven by a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE), Flutter was recently included in TIME's 100 Most Influential Companies of 2024 in the 'Pioneers' section. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 1000+ employees working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role We are looking for a Data Analyst to join our Data & Analytics (ODA) department in Hyderabad, India . Delivering deep insights and analytics within a fast-paced culture in the world’s largest online gaming company, you will join a team of exceptional data analysts who shape the future of online gaming through detailed analysis for safer gambling, fraud, customer experience, regulatory, overall operations and other departments. Your work will have a tangible impact on our players’ experience and our business’ direction. You shall dive into databases, querying large volumes of behavioural data to create actionable insights and deliver recommendations to department heads and directors. As well as leading in-depth analysis of customer behaviour, you will develop dashboards and executive summaries for various audiences, establish and track key performance indicators and provide ad-hoc analytical support. Your work will bring our extensive data to life, adding insight to key decision-making processes and optimising our systems to keep our site safe, sustainable and where the best play. KEY RESPONSIBILITES Extract data from our databases in various environments ( DB2, MS SQL Server and Azure ) then process and interpret using statistical techniques in Python and Excel Identify patterns and emerging trends with detailed analysis to offer constructive suggestions and estimate the impact their potential impact to customers and business Create presentations that synthesise findings from multiple analyses to inform strategic decision-making of senior leadership Develop interactive dashboards that highlight key metrics and trends in customer behaviour and payment fraud Design infographics that visually communicate complex data and analysis to a non-technical audience, such as regulators or customer support teams Engage with global business stakeholders on key projects, understand how each area of the business works to provide data-driven insights and guidance Help define product roadmaps by identifying opportunities for improvement based on data and analysis. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE 2 to 4 years of relevant work experienc e as a Data Analyst or Data Scientist Bachelor’s degree in a quantitative field such as Science, Mathematics, Economics, Engineering Proficiency in SQL with the ability to create complex queries from scratch Advanced expertise in Microsoft Excel, PowerPoint and Word Experience presenting and reporting analyses to stakeholders Ability to create high-quality data visualizations , local & server-based automation solutions and presentations using PowerPoint and tools such as MicroStrategy, Tableau, or PowerBI Experience with programming (e.g., Python, R etc.) Applied experience with statistical techniques such as hypothesis testing, causal impact analysis, regression analysis, or time series analysis Excellent organisational and communication skills with the ability to manage day-to-day work independently and consistently deliver quality work within deadlines Desired Qualifications Experience with data warehouse technologies (e.g., MS SQL Server Management Studio, Amazon Redshift) is a plus Certifications (MOOCs) on Data Analysis, Python, SQL, ETL, DSA, ML/DL, Data Science, etc. are desirable Benefits We Offer Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

About Flutter Entertainment Flutter Entertainment is a global leader in sports betting, gaming, and entertainment, with annual revenues of $11.7 Bn and a customer base of over 12 million players (in 2023) driven by a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE), Flutter was recently included in TIME's 100 Most Influential Companies of 2024 in the 'Pioneers' section. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 1000+ employees working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role We are looking for a Data Analyst to join our Data & Analytics (ODA) department in Hyderabad, India . Delivering deep insights and analytics within a fast-paced culture in the world’s largest online gaming company, you will join a team of exceptional data analysts who shape the future of online gaming through detailed analysis for safer gambling, fraud, customer experience, regulatory, overall operations and other departments. Your work will have a tangible impact on our players’ experience and our business’ direction. You shall dive into databases, querying large volumes of behavioural data to create actionable insights and deliver recommendations to department heads and directors. As well as leading in-depth analysis of customer behaviour, you will develop dashboards and executive summaries for various audiences, establish and track key performance indicators and provide ad-hoc analytical support. Your work will bring our extensive data to life, adding insight to key decision-making processes and optimising our systems to keep our site safe, sustainable and where the best play. KEY RESPONSIBILITES Extract data from our databases in various environments ( DB2, MS SQL Server and Azure ) then process and interpret using statistical techniques in Python and Excel Identify patterns and emerging trends with detailed analysis to offer constructive suggestions and estimate the impact their potential impact to customers and business Create presentations that synthesise findings from multiple analyses to inform strategic decision-making of senior leadership Develop interactive dashboards that highlight key metrics and trends in customer behaviour and payment fraud Design infographics that visually communicate complex data and analysis to a non-technical audience, such as regulators or customer support teams Engage with global business stakeholders on key projects, understand how each area of the business works to provide data-driven insights and guidance Help define product roadmaps by identifying opportunities for improvement based on data and analysis. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE 2 to 4 years of relevant work experienc e as a Data Analyst or Data Scientist Bachelor’s degree in a quantitative field such as Science, Mathematics, Economics, Engineering Proficiency in SQL with the ability to create complex queries from scratch Advanced expertise in Microsoft Excel, PowerPoint and Word Experience presenting and reporting analyses to stakeholders Ability to create high-quality data visualizations , local & server-based automation solutions and presentations using PowerPoint and tools such as MicroStrategy, Tableau, or PowerBI Experience with programming (e.g., Python, R etc.) Applied experience with statistical techniques such as hypothesis testing, causal impact analysis, regression analysis, or time series analysis Excellent organisational and communication skills with the ability to manage day-to-day work independently and consistently deliver quality work within deadlines Desired Qualifications Experience with data warehouse technologies (e.g., MS SQL Server Management Studio, Amazon Redshift) is a plus Certifications (MOOCs) on Data Analysis, Python, SQL, ETL, DSA, ML/DL, Data Science, etc. are desirable Benefits We Offer Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs. Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance, and a Home Office Setup Allowance. Employer PF Contribution, gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards. WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

Role-AI/ML Engineer Mandatory Skills - Python, ML libraries (Pytorch, Tensorflow), Gen AI, Kubernetes, NLP Good to have skill- MLOps Location: Hyderabad Only Work Type-Work from Office (5 Days in a week) Experience-4 to 8 Yrs. Skills Required - Strong programming skills in Python, Java, Spring Boot, or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Familiarity with information retrieval techniques (BM25, vector search, learning-to-rank). Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About the Role: We are seeking a highly skilled and principled Responsible AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise. This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.). The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles. Key Responsibilities: Model Evaluation & Auditing Evaluate AI/ML, LLM, and GenAI models for bias, fairness, explainability, and robustness. Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines. Perform pre-deployment, post-deployment, and continuous model audits. Responsible AI Frameworks Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, and industry standards. Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints. Multi-Cloud Deployment Compliance Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards. Evaluate model behavior variability and risk exposure across different cloud providers. Tooling & Automation Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries). Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators). Documentation & Reporting Produce model cards, system cards, and impact assessments (e.g., DSA, DPIA). Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders. Required Qualifications: 5+ years of experience in AI/ML evaluation, testing, or assurance roles. Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models). Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques. Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.). Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures. Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc. Strong communication and reporting skills, with the ability to translate technical findings into business risk language. Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, Ethics, or related field. Prior work with model evaluation benchmarks and large-scale LLM testing frameworks. Knowledge of secure and privacy-preserving ML techniques (e.g., federated learning, homomorphic encryption). Experience contributing to open-source Responsible AI tools or policy frameworks. Why Join Us: Work at the cutting edge of AI ethics, safety, and trust. Collaborate with interdisciplinary teams across engineering, legal, and policy. Influence how AI is responsibly used across industries and sectors. Shape a safer and more accountable AI future.

Aindriya is on the lookout for a passionate and skilled AI Engineer to join our innovative team. If you're excited about building intelligent systems that create real impact, we want to hear from you! Responsibilities Design, build, and optimize AI/ML models for real-world applications Collaborate with cross-functional teams to integrate models into production systems Expertise in Agentic AI and business automation Work on NLP, computer vision, or recommendation systems depending on project needs Improve performance and scalability of existing AI pipelines Keep up with the latest trends in AI, machine learning, and deep learning Requirements 2+ years of experience in AI/ML development Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Solid understanding of algorithms, data preprocessing, and model evaluation Familiarity with cloud services like AWS, GCP, or Azure Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field Bonus Skills Experience in deploying ML models to production environments MLOps experience (Docker, CI/CD, model monitoring) Contributions to open-source AI projects or research How to Apply Send your CV and relevant work samples to hr@aindriya.co.in Subject Line: "AI Engineer Application – [Your Name]"

About The Role As a Data Engineer in the Edge of Technology Center, you will play a critical role in designing and implementing scalable data infrastructure to power advanced analytics, AI/ML, and business intelligence. This position demands a hands-on technologist who can architect reliable pipelines, manage real-time event streams, and ensure smooth data operations across cloud-native environments. You will work closely with cross functional teams to enable data-driven decision- making and innovation across the organization. Key Responsibilities Design, implement, and maintain robust ETL/ELT pipelines using tools like Argo Workflows or Apache Airflow. Manage and execute database schema changes with Alembic or Liquibase, ensuring data consistency. Configure and optimize distributed query engines like Trino and AWS Athena for analytics. Deploy and manage containerized workloads on AWS EKS or GCP GKE using Docker, Helmfile, and Argo CD. Build data lakes/warehouses on AWS S3 and implement performant storage using Apache Iceberg. Use Terraform and other IaC tools to automate cloud infrastructure provisioning securely. Develop CI/CD pipelines with GitHub Actions to support rapid and reliable deployments. Architect and maintain Kafka-based real-time event-driven systems using Apicurio and AVRO. Collaborate with product, analytics, and engineering teams to define and deliver data solutions. Monitor and troubleshoot data systems for performance and reliability issues using observability tools (e.g., Prometheus, Grafana). Document data flows and maintain technical documentation to support scalability and knowledge sharing. Key Deliverables Fully operational ETL/ELT pipelines supporting high-volume, low-latency data processing. Zero-downtime schema migrations with consistent performance across environments. Distributed query engines tuned for large-scale analytics with minimal response time. Reliable containerized deployments in Kubernetes using GitOps methodologies. Kafka-based real-time data ingestion pipelines with consistent schema validation. Infrastructure deployed and maintained as code using Terraform and version control. Automated CI/CD processes ensuring fast, high-quality code releases. Cross-functional project delivery aligned with business requirements. Well-maintained monitoring dashboards and alerting for proactive issue resolution. Internal documentation and runbooks for operational continuity and scalability. Qualifications Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field from a recognized institution. Technical Skills Orchestration Tools: Argo Workflows, Apache Airflow Database Migration: Alembic, Liquibase SQL Engines: Trino, AWS Athena Containers & Orchestration: Docker, AWS EKS, GCP GKE Data Storage: AWS S3, Apache Iceberg Relational Databases: Postgres, MySQL, Aurora Infrastructure Automation: Terraform (or equivalent IaC tools) CI/CD: GitHub Actions or similar GitOps Tools: Argo CD, Helmfile Event Streaming: Kafka, Apicurio, AVRO Languages: Python, Bash Monitoring: Prometheus, Grafana (preferred) Soft Skills Strong analytical and problem-solving capabilities in complex technical environments. Excellent written and verbal communication skills to interact with both technical and non- technical stakeholders. Self-motivated, detail-oriented, and proactive in identifying improvement opportunities. Team player with a collaborative approach and eagerness to mentor junior team members. High adaptability to new technologies and dynamic business needs. Effective project management and time prioritization. Strong documentation skills for maintaining system clarity. Ability to translate business problems into data solutions efficiently. Benefits Competitive salary and benefits package in a globally operating company. Opportunities for professional growth and involvement in diverse projects. Dynamic and collaborative work environment Why You'll Love Working With Us Encardio offers a thriving environment where innovation and collaboration are essential. You'll be part of a diverse team shaping the future of infrastructure globally. Your work will directly contribute to some of the world's most ambitious and ground-breaking engineering projects. Encardio is an equal-opportunity employer committed to diversity and inclusion. How To Apply Please submit your CV and cover letter outlining your suitability for the role at humanresources@encardio.com

AI/ML Developer – RASA, NLP, Voice, Docker Location: Trivandrum We’re hiring an AI/ML Developer to build intelligent, voice-enabled conversational systems. You’ll work with RASA , NLP models (PyTorch/TensorFlow) , voice integration (TTS/STT) , and Docker to deliver advanced English language validation and dialogue systems. Key Responsibilities: Build and manage conversational AI using RASA Create NLP models for grammar/semantic checks Integrate TTS/STT for voice-based interaction Deploy scalable solutions with Docker Collaborate across teams and write clean, documented code Requirements: 1+ years in RASA or similar platforms Strong in Python , NLP , PyTorch/TensorFlow Experience with TTS/STT , API integration , Docker Excellent communication and problem-solving skills Work on cutting-edge AI tech Collaborative, flexible work culture Competitive pay & clear growth path Apply Now: Send your resume via WhatsApp to +91 75111 13000 . Job Types: Full-time, Fresher Pay: ₹25,000.00 - ₹65,000.00 per month Benefits: Health insurance Work Location: In person Speak with the employer +91 9847731777

About Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

Job Title: AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex) Location: Pune Experience: 1-2 Years Employment Type: Full-time Working Mode : Work from office Working Day : Monday to Friday About The Role We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models. Key Responsibilities Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc. Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Required Skills & Experience 1+ years of hands-on experience in Python development for AI/ML applications. Solid understanding of large language models, prompt engineering, and model fine-tuning. Proficient with LangChain and LlamaIndex for building composable LLM workflows. Experience building RAG systems, including retrieval, chunking, embedding, and context injection. Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. Experience with Hugging Face Transformers, OpenAI, or similar model providers. Good understanding of REST APIs, microservices architecture, and deploying AI services in production. Nice To Have Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services. Experience with LangGraph, AutoGen, or similar agent orchestration frameworks. Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow. Understanding of data privacy, security, and ethical AI principles. Computer Vision Qualification: BE/Btech/MCA/MSC Benefits Work with state-of-the-art AI and LLM technologies Access to training, certifications, and conferences in AI/ML Collaborative and innovative work culture

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Engineering Manager (M3 Level) to join our dynamic AI team. As a manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact complex projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities: Technical Leadership: Experience in AI, modeling and LLM domain with hand on experience with tools like looker, cognos and other analytics tools Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. You are hands-on with code and can jump in to help the team. You maintain high technical bar, closely involved in design and architecture decisions, code reviews, helping your engineers to optimize their code, maintaining high standards of code quality. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management: Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Lead cross-functional teams to design, develop, and deliver high-impact software projects on time and within budget. Actively seek opportunities for the team to grow within and across the organization. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching and Development: Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement. Execution Excellence: Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate effectively with stakeholders across Product, TPM, Security, Cloud, and other teams. Make deployment decisions with appropriate risk mitigation. Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development with couple of years in AI and ML 5 years of experience in a technical leadership role, overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. 5 years of experience building and developing infrastructure or distributed systems. Experience in SAAS Enterprises Proven experience in leading engineering teams and driving technical decisions. Strong understanding of engineering best practices and service-oriented architecture. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Experience with cloud technologies (Azure, AWS, GCP) and CI/CD pipelines. Proven track record of managing high-impact projects and delivering results. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! 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 in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience in Azure Databricks Azure Data Factory Azure ML Studio ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform and Azure Machine Learning. The ideal candidate will work from our office during day shifts and will not be required to travel. This role is crucial in driving our AI and ML initiatives to enhance our business solutions and impact society positively. Responsibilities Develop and implement advanced machine learning models using Azure ML Studio to solve complex business problems. Design and manage data pipelines with Azure Data Factory to ensure efficient data flow and processing. Utilize Azure Databricks for big data analytics and machine learning model training. Implement ML Ops practices to streamline the deployment and monitoring of machine learning models. Use Docker to containerize applications and ensure consistent environments for development and production. Apply AI and ML concepts to create innovative solutions that improve business processes. Collaborate with cross-functional teams to integrate machine learning models into existing systems. Manage Kubernetes clusters to orchestrate containerized applications. Use Terraform for infrastructure as code to automate the provisioning of cloud resources. Ensure version control and collaboration using GIT for all development activities. Provide technical guidance and mentorship to junior developers on the team. Conduct code reviews to maintain high-quality standards and best practices. Stay updated with the latest advancements in AI and ML to continuously improve our solutions. Qualifications Must have extensive experience with Azure Databricks Azure Data Factory and Azure ML Studio. Should have a strong understanding of ML Ops practices and Docker. Must be proficient in AI & ML Concepts Machine Learning and Artificial Intelligence. Should have experience with Kubernetes and Terraform for managing cloud infrastructure. Must be skilled in using GIT for version control and collaboration. Nice to have experience in other cloud platforms and related technologies. Should possess excellent problem-solving skills and the ability to work in a team environment. Must have strong communication skills to effectively collaborate with stakeholders. Should be detail-oriented and able to manage multiple tasks efficiently. Must be committed to continuous learning and staying updated with industry trends. Should have a proactive approach to identifying and addressing potential issues. Certifications Required Azure Data Engineer Associate Azure AI Engineer Associate Certified Kubernetes Administrator

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Company Description Sutherland is a digital transformation company focused on delivering exceptional experiences for both customers and employees. For over 37 years, we have been entrusted with caring for our clients’ customers - a responsibility we believe we should earn every day. We are dedicated to making those experiences as delightful as possible - instantaneous, relevant, predictive and frictionless. As an early pioneer in robotic automation, we added to our core through steady investment and acquiring key capabilities. Our design capabilities marry human insight, design-thinking, and process engineering. To make these designs come to life as envisioned by our designers, we employ the latest in robotic automation, conversational AI techniques with a range of AI-ML enhanced products and cloud-based platforms. We believe that the best relationships come from trust and value. We call it One Sutherland. Job Description The associate will handle queries relating to products and services over live chat and emails. The associate will be responsible for timely and accurate support to customers with a strong focus on high standards for the role. Demonstrates end-to-end ownership of every interaction coupled with proactive problem-solving and provides exceptional support to our customers. Both freshers and experienced can apply. Excellent verbal and written communication is mandate. Qualifications High School Diploma or Equivalent and above (Graduation is not mandatory) Additional Information Work location - Perungalathur, Chennai Timings: 8 Hours plus 1 Hour break, 5 or 6 days per week Perks: Cab facilities available (within 25 Kms of office location) Disclaimer Sutherland never asks for payments or favours for job opportunities. If you receive any suspicious request, please report it to: TAHelpdesk@Sutherlandglobal.com

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team. As a Lead Data Scientist You’ll Be Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques Response Generation: Develop components for generating structured responses by combining AI with business rules Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards What Are We Looking For 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing Solid understanding of statistics, hypothesis testing, and probability distributions Experience with LangChain, LangGraph for implementing AI workflows Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities Experience with cloud platforms, particularly AWS services Familiarity with Knowledge Graphs for LLM use cases Knowledge of evaluation approaches for generative AI outputs Experience with Databricks or similar data processing platforms Nice To Have Advanced degree in Computer Science, Data Science, Machine Learning, or related field Experience in customer support AI applications Knowledge of vector databases and embedding techniques Familiarity with semantic search technologies Experience with data pipelines and ETL processes Knowledge of software development best practices including version control Contributions to data science or AI projects or communities What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Company Description The Association of Business Women in Commerce & Industry (ABWCI) is a global chamber dedicated to empowering women in business. We foster equity and inclusive prosperity through a supportive ecosystem. Our commitment includes providing access to investment capital, trade networks, and entrepreneurial education. ABWCI advocates for policies that create women-centric entrepreneurial ecosystems, aiming to foster a thriving society. Role Description This is a full-time, on-site role for an AI Full Stack Developer located in New Delhi. The AI Full Stack Developer will be responsible for both front-end and back-end web development tasks. The developer will work on designing, implementing, and maintaining web applications, ensuring seamless integration of AI functionalities. Day-to-day activities include coding, debugging, collaborating with team members, and staying updated with emerging technologies. Qualifications Front-End Development skills, including proficiency in HTML, CSS, and JavaScript Back-End Web Development skills, with experience in server-side languages and database management Proficiency in HTML, CSS, JavaScript/TypeScript, TailwindCSS or Bootstrap Proficiency in Node.js , Express.js , FastAPI , or Django Strong command of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) Knowledge of ETL pipelines , data preprocessing , and streaming data API design and consumption (REST/GraphQL) Integrate ML models using APIs or containers (FastAPI, Flask, BentoML) Familiarity with Python ML tools: TensorFlow, PyTorch, or Scikit-learn 3-4 years of expertise in Full-Stack Development , encompassing both front-end and back-end development including AI integration. Strong experience in Software Development, including knowledge of software development lifecycle and best practices Experience with AI technologies and their integration into web applications is a plus Proficiency with AWS , GCP , or Azure for full-stack & AI workloads Experience using cloud-native AI tools (e.g., AWS SageMaker, Google Vertex AI) API integrations with OpenAI , Anthropic , or Hugging Face Hub Hands-on experience with Docker , Kubernetes , and container orchestration Implementing secure authentication (OAuth2, JWT, SSO) Understanding of rate limiting, load balancing, and threat mitigation, performance tuning, caching (Redis, CDN), and lazy-loading for scalability Strong experience in developing and deploying AI/ML systems using frameworks like TensorFlow and PyTorch, with expertise in NLP (Transformers, spaCy), deep learning, LLMs (e.g., GPT, Claude), RAG pipelines, embedding models, and vector databases such as FAISS and Pinecone Unit, integration, and E2E testing with tools like Jest , PyTest , Selenium Consume and deploy ML/AI models via APIs or microservices Excellent problem-solving abilities and attention to detail Ability to work collaboratively in a team and communicate effectively Bachelor's degree in Computer Science, Engineering, or related field Bonus/Preferred Qualification Experience with LLMs and RAG (Retrieval-Augmented Generation) systems Contributions to open-source ML projects Certification in AI/ML or Cloud Platforms Experience in AI model serving , monitoring , and MLOps Perks & Benefits Competitive Salary Opportunity to work on cutting-edge AI-driven products You will be allowed to use co-pilots for development, we just want the work done as quick as possible! Location In-office, New Delhi All in all, we want some one who can develop websites and digital products from scratch and integrate AI system to introduce scalable and predictive systems with modern machine learning, front end and back end development, as a whole Full Stack Engineer with modern AI deployment skills. Join us, if you want to make an impact in a new world of opportunities!

We are seeking a hands-on Solution Architect / Tech Owner with deep expertise in building and scaling Data & AI products end-to-end. This role demands a strong foundation in cloud-native architecture (AWS) , machine learning (ML) , LLM-based GenAI integration , and a design thinking mindset to translate business needs into resilient, high-performance solutions. The ideal candidate has led the technical delivery of scalable GenAI platforms, architected modular backend systems and frontend interfaces, and built ML pipelines in production environments. You will be responsible for owning system design, guiding technical teams , deploying full-stack infrastructure, and ensuring robust governance and security across all layers. Key Responsibilities Architect and deliver end-to-end GenAI platforms using AWS (ECS, RDS, Lambda, S3) with real-time LLM orchestration and RAG workflows. Design and implement Python microservices with Redis caching and vector search using Qdrant or Redis Vector . Integrate GenAI models and APIs (OpenAI, HuggingFace, LangChain,LangGraph), including containerized inference services and secured API pipelines. Lead frontend architecture using Next.js (TypeScript) with SSR and scalable client-server routing. Own infrastructure automation and DevOps using Terraform, AWS CDK, GitHub Actions , and Docker-based CI/CD pipelines. Manage and optimize data architecture across Snowflake , PostgreSQL (RDS), and S3 for both analytical and transactional needs. Knowledge of database pipeline and data quality , transitioning legacy systems to modular, cloud-native deployments. Champion engineering culture , leading design/code reviews, mentoring team members, and aligning technical priorities with product strategy. Ensure compliance, encryption, and data protection via AWS security best practices (IAM, Secrets Manager, WAF, API Gateway). Ideal Candidate Profile Proven track record as a Solution Architect / Tech Lead on large-scale Data & AI products with GenAI integration. Deep knowledge of AWS cloud services , microservices architecture, and full-stack deployment. Strong understanding of ML lifecycle and productionization of LLMs / GenAI APIs . Practical experience with design thinking , breaking down problems from user need to system delivery. Excellent leadership, communication, and mentoring skills to drive team alignment and technical execution.

About Alphanext Alphanext is a global talent solutions company with offices in London, Pune, and Indore. We connect top-tier technical talent with forward-thinking organizations to drive innovation and transformation through technology. Position Summary Alphanext is hiring a Generative AI Engineer with expertise in deploying, fine-tuning, and scaling models within the Stability.AI ecosystem. This role is ideal for candidates with a strong background in applied AI/ML and a deep understanding of diffusion models, prompt engineering, and creative automation. You will work closely with UX, creative, and product teams to integrate AI into real-world apparel design and content workflows. Key Responsibilities Design and deploy custom AI models and pipelines using Stability.AI platforms (e.g., Stable Diffusion, DreamStudio, APIs). Fine-tune and adapt models for apparel-specific use cases such as texture generation, design prototyping, and sketch transformations. Collaborate cross-functionally with UX, Creative, and Brand teams to test and iterate on generative AI outputs. Support integration of GenAI capabilities into enterprise platforms like PLM (Product Lifecycle Management), DAM (Digital Asset Management), and creative review workflows. Required Skills 3+ years of hands-on experience in applied AI/ML with a focus on Stability.AI or Hugging Face model development and tuning. Strong understanding of diffusion models, prompt engineering, and token management. Proficiency in Python and frameworks like PyTorch or TensorFlow. Demonstrated experience deploying AI models in production settings and optimizing model pipelines. Exposure to creative content generation, preferably in fashion, apparel, or design-centric environments. Nice to Have / Preferred Skills Familiarity with integrating GenAI into creative tooling and digital asset workflows. Experience collaborating with design teams and non-technical creative stakeholders. Understanding of UI/UX implications when using generative models in end-user applications. Qualifications Bachelor//'s or Master//'s degree in Computer Science, Artificial Intelligence, or a related technical field. 7+ years of total professional experience, including 3+ years in generative AI or applied machine learning roles.

Senior Software Engineer – AI,3+ yrs Trivandrum 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. We are looking for a Senior Software Engineer – AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities  Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).  Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.  Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.  Write clean, scalable code and build robust APIs and services to support AI model deployment.  Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.  Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.  Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set:  3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.  Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).  Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).  Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).  Experience building and deploying ML models to production environments.  Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.  Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.  Solid understanding of API development, version control, and modern DevOps/MLOps practices. Interested candidates please share your updated CVs to amarragi@affable.in or 9048151003 Job Type: Full-time

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Technology, we understand that technology is the key to unlocking our clients’ potential and creating lasting value through innovation. We’re building a better working world by providing EY and our clients the products, services, support & insights to win in the market. We create value by helping clients solve complex business problems through differentiated technological solutions. We innovate in how we deliver products and support to the enterprise to enable our success. And we achieve this by assuring our work and client information are safe from increasingly sophisticated threats. The opportunity The GDS Technology team is seeking an experienced Technical Manager to lead the solution architecture development for software solutions utilizing the Microsoft stack, including C#, .Net, SQL, Data Lake, Power Platform, as well as AI and ML technologies. You will be responsible for designing and implementing highly modular, scalable, and robust applications, both on-premises and in the cloud, primarily using Azure. Your role will involve collaborating with teams to propagate best practices and formalize processes to ensure compliance and excellence in delivery. As a champion for change and growth, you will be at the forefront of integrating emerging technologies into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. The opportunity is for self-driven and organized individuals who can learn and adopt new technologies and methodologies and is willing to innovate new things which can improve the existing technology. Your key responsibilities Lead the Solution Architecture team in developing software solutions predominantly using Microsoft Technology stack including C#, .Net, Angular, SharePoint, Power Platform, AI, ML and Advanced Analytics. Oversee the solution delivery for complex projects, leveraging strong technical capabilities and hands-on experience. Design and implement advanced software architectures and infrastructure architectures, ensuring alignment with business and user requirements. Develop and integrate AI and ML solutions into software applications to enhance functionality and user experience. Solve complex technical challenges in coding, testing, and deployment across various programming languages. Take accountability for the design, development, delivery, and maintenance of solutions, driving compliance with relevant standards. Engage in business development activities, including solutioning for pursuits and collaborating with sales teams to create compelling proposals. Provide advanced technical expertise to maximize efficiency, reliability, and value from current solutions and emerging technologies. Solves complex and escalated aspects of a project, performing coding, debugging, testing, and troubleshooting throughout the development process. Develop strong working relationships with peers across Development & Engineering and Architecture teams to create leading solutions. Skills and attributes for success To qualify for the role, you must have B.E/ B.Tech/ MCA/ MS or equivalent degree preferably in Computer Science discipline. Minimum 10 – 15 years of experience in software development and architecture Strong proficiency in C#, .Net, and the Microsoft technology stack Experience in architecting, designing and rolling-out enterprise scale business solutions using Angul – WebAPI – SQL tech stack Hands-on experience with Azure services, including Azure App Services, SQL Server, Blob Storage, and Azure Functions. In-depth knowledge of AI/ML technologies, particularly in the context of Generative AI applications. Ideally, You’ll Also Have: Familiarity with Power Platform and its various components. A solid understanding of Agile Development methodologies, along with experience using Azure DevOps and GIT. Proven experience in large-scale technical implementations and digital transformation initiatives. Exposure to Data Science, Machine Learning, and Deep Learning concepts. Lead team in supporting and enhancing legacy apps built on top of .Net framework Knowledge on PMI & Agile Standards Industry recognized certifications in Azure offerings would be a plus What we look for We seek self-starters, independent thinkers, and creative individuals with ambition and passion. If you are enthusiastic about pushing the boundaries of AI and possess the technical expertise to do so, we encourage you to apply for this position and join us in redefining the possibilities of technology. What working at EY offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland & the UK – and with teams from all EY service lines, geographies & sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills & insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Key Responsibilities Teach CBSE-prescribed syllabus for AI Introduce students to foundational AI concepts Conduct practical sessions using Python, AI tools Facilitate student-led projects, group activities, and real-life case studies. Collaborate with IT and Computer Science departments for integrated teaching. Requirements Bachelor’s/Master’s in Computer Science/AI/Data Science with B.Ed. 2 years of senior school teaching experience Proficiency in Python & AI tools Familiarity with AI curriculum Preferred AI/ML certification (e.g., CBSE, NASSCOM, etc.) Experience with student projects and competitions Excellent communication and tech skills Job Type: Part-time Pay: ₹18,000.00 - ₹20,000.00 per month Expected hours: 6 per week Ability to commute/relocate: Vellalasseri, Calicut, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How soon you can join Education: Bachelor's (Preferred) Experience: AI: 1 year (Required) Language: English (Required) Work Location: In person

Job Description: Full Stack Developer (Node.js + React.js + AI Experience) Position: Full Stack Developer Key Responsibilities: Design, develop, and maintain robust web applications using Node.js , React.js , and MongoDB/Mongoose . Handle server-side logic, API development, and database integration with a strong focus on performance and scalability. Collaborate with frontend developers to integrate user-facing elements with server-side logic. Optimize application performance, implement security best practices, and manage server environments. Apply AI and machine learning concepts where applicable, integrating third-party or custom AI models into the platform. Troubleshoot, debug, and resolve application issues promptly. Participate in code reviews, contribute to team discussions, and maintain high code quality standards. Technical Skills Required: Backend: Strong experience with Node.js , Express.js , RESTful APIs Frontend: Proficient in React.js , Redux, HTML5, CSS3, JavaScript (ES6+) Database: Proficient in MongoDB with deep understanding of Mongoose Server/DevOps: Experience with server management, deployment (Linux, Nginx/PM2), and performance monitoring AI Integration: Knowledge of integrating AI services (e.g., OpenAI, TensorFlow, or ML-based APIs) Familiarity with Git, CI/CD pipelines, Docker (optional but preferred) Soft Skills: Strong communication and problem-solving skills Ability to work independently and in a team environment Eagerness to learn and adapt to new technologies