27584 Ml Jobs - Page 25

DESCRIPTION As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modelling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. Key job responsibilities Responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. Develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Technically ambitious with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team Want to be part of the team whose mission is to expand Alexa to new countries, languages, devices and cultures? The Alexa International team makes it happen. Our customers are very diverse in where they live, the languages they speak to Alexa, the devices they use and the content that matters most. In turn our problems are diverse and need innovative solutions. Alexa International is at the nexus of all other Alexa teams and features, such as Smart Home, Music, News, ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), Fire TV, Skills etc. We collaborate with hardware and software developers within and outside Amazon to build delightful experience for our customers. We’re working hard, having fun, and making history; come join us! BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills PREFERRED QUALIFICATIONS Experience building and deploying innovative machine learning solutions at scale for minimum 10 years. Expert level skills across many Machine Learning methodologies. Published research work in academic conferences or industry circles. Experience delivering complex end-to-end global ML solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics and business teams. This person will have very sound judgment and be able to recruit and develop high calibre talent. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are hiring a passionate and experienced Data Science Faculty to teach and mentor students while contributing to curriculum development in alignment with current industry trends. Responsibilities: Teach data science topics like Python, statistics, machine learning, and visualization Conduct practical sessions and guide student projects Develop curriculum and assessments as per industry needs Stay updated with latest tools and trends in data science Mentor students for certifications and career readiness Requirements: Master’s degree in Data Science, Computer Science, or related field Teaching or industry experience in data science (min. 2 years preferred) Proficient in Python, R, SQL, and ML tools Good communication and mentoring skills Job Type: Part-time Pay: ₹40,000.00 - ₹60,000.00 per month Expected hours: No more than 6 per week Schedule: Day shift Fixed shift Application Deadline: 06/08/2025 Expected Start Date: 03/08/2025

DESCRIPTION Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally. We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results. Key job responsibilities We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. BASIC QUALIFICATIONS 3+ years of tax, finance or a related analytical field experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL PREFERRED QUALIFICATIONS 3+ years of business analyst, data analyst or similar role experience Experience working in risk, fraud, or ML organizations. Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders. Familiar with defining configuration specifications and business analysis requirements Experience working in risk, fraud or compliance organizations. - Advance SQL proficiency -write complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Have you ever thought about what it takes to detect and prevent fraud among hundreds of millions of e-Commerce transactions in different countries? What would you do to create a trusted marketplace where millions of buyers and sellers can safely transact online? What kinds of processes and systems would you build to maximize customer satisfaction? Amazon is seeking a Sr Headcount and Global Planning & Manager (demand forecasting and capacity planning domain) who will be responsible for building business forecasting models attributed by headcount plans and long-term capacity, developing strategies for service and location/network footprint and optimizing resource utilization/occupancy through innovative ideas, while consistently delivering on Service Levels >90%. This is your chance to make history. We believe passionately, that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Also, with the evolving GenAI trend, we value your passion to discover, invent & simplify and build trust of our customers and sellers. Amazon hires the brightest minds, are you one of them? Key job responsibilities This role will be responsible for analysing staffing needs, forecasting future requirements, and ensuring optimal workforce utilization and cost. The ideal candidate is expected to 1. Operate with significant autonomy and discretion, influences internal & external teams. Candidate will possess leadership experience in the i) capacity planning, ii) Opex budgeting, and iii) forecasting domain with an appetite to constantly engage through AI and improve the planning models. 2. Build best in class mechanisms, thus, enable a high performing global team to not only innovate through AI but also drive high impact cost cutting initiatives. 3. Partner with diverse stakeholders including Corporate Legal, HR, Finance, Recruitment, associated Planning teams, Expansions/GREF, Risk & Control, and Operations leaders to maintain a resilient and adaptable network, through projects both real-time and strategic, that supports and aligns with our org’s vision and growth 4. Identify, track, and drive confidential change management projects and initiatives to align with our site, network and business growth strategies within a multiple regional scope 5. Embody customer centricity, foster a culture of excellence in our operations, and work with minimal direction in a demanding and often ambiguous environment to grow the program globally 6. Be capable to support and own tactical & strategic global planning decisions proactively, while enhancing seller experience, eliminating team friction and optimizing cost 7. Dive deep into a range of problems and invest through GenAI driven situations that may require immediate intervention combined with a long term vision 8. Possess intermediate to expert level knowledge, and is ready to inspect the new-age forecasting models (like machine learning driven models, regression, e-commerce & quick-commerce driver injected forecasts, etc.). 9. Constantly raise the performance bar of the team and holding accountability with stakeholders, thus enabling strong cross-functional influence to drive change You are accountable to: Deliver on organization level cost goals/Opex budget for the year/quarter/month Build futuristic business models for seamless capacity planning and invest on GenAI Leading innovation to create agile HC planning/capacity models to meet the Service level standards according to Compliance and Seller/Customer Experience Lead a team of Analysts and Program Managers As a Leader, you should: be managing a global team of Capacity Planners/Forecasters, and support worldwide network of business units, and operational centres be able to provide regular coaching and feedback to direct reports to help grow functional skills and leadership capability, with support from stakeholders/operations' peers and Snr. leaders demonstrate understanding of performance and sets a high leadership bar and effectively applies to hiring decisions. understand and communicate the department’s vision to team members. set clear expectations and builds robust launch plans for new team members. understand team members’ engagement and motivation, works to retain top tier employees. set objectives with team members that enable achievement of department and functional goals. hold team members accountable for performance assess behaviours and coaches direct reports on demonstrating Amazon’s Leadership Principles within their role. identify and actively drives team changes, staffing and training needed to support capacity needs. inspect and guide resource planning discussions. A day in the life Strategic: Lead long-term capacity planning initiatives Drive AI/ML implementation in planning processes Develop strategic partnerships across organization Guide team on complex problem-solving Operational: Monitor real-time capacity utilization Ensure data accuracy and model reliability Manage escalations and critical issues Drive continuous process improvement People Management: Mentor and develop team members Build high-performing teams Foster collaboration across functions Maintain strong stakeholder relationships Critical Skills Demonstrated Daily: Strategic thinking and decision-making Data analysis and interpretation Leadership and team development Stakeholder management Crisis management and problem-solving Technical expertise in planning tools Executive communication This schedule can vary based on business needs, with additional time spent on: Quarterly planning sessions Annual strategic planning Technology implementation projects Team building activities Training and development Crisis management when needed BASIC QUALIFICATIONS 5+ years of cross functional project delivery experience 5+ years of program or project management experience 5+ years of working cross functionally with tech and non-tech teams experience Experience defining program requirements and using data and metrics to determine improvements Experience managing teams Bachelor's degree PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for real-time inference and low-latency decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI. Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination Requirements To be successful in this role, you should meet the following requirements: Strong programming skills in Python, Go, Node.JS or Java. Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc.). Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.), diffusion model or GANs Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks. Strong experience with AI/ML framework such as TensorFlow, PyTorch or JAX. Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ). Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI). Experience with multi-agent coordination & communication protocols. Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK). Strong understanding of distributed systems, networking, and security for AI agents. Experience working with OpenAI, Hugging face or Anthropic APIs. Knowledge of LLM fine-tuning techniques such as LoRA, QLoRA or RLHF Contributions to open-source AI agent projects. Background in game theory, planning algorithms, or decision trees. Familiarity with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB). Familiarity with interface development with Angular/React/Javascript framework You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

DESCRIPTION At Amazon, we're committed to being the most customer-centric company globally while ensuring the highest standards of trust and safety. Our Verification Risk Management Operations (VRMO) team plays a crucial role in safeguarding Amazon's ecosystem through robust verification processes and risk management strategies. As a Program Manager II within the Global Planning and Site Strategy (GPSS) team supporting VRMO Workforce Management (WFM), you will be instrumental in driving strategic capacity planning, operational excellence, and innovation across our global verification networks. This role combines analytical rigor with strategic thinking to optimize our verification operations, including Seller Identity Verification (SIV), Know Your Customer (KYC), and Identity Prevention Verification (IPV) programs. Key job responsibilities Strategic Planning & Execution: Lead end-to-end capacity planning for global verification operations, ensuring optimal resource allocation across multiple programs and sites Drive strategic planning cycles (OP1, OP2, Q2G, Q3G, RNO, and 3YP) with focus on VRMO-specific requirements Develop and implement innovative solutions using data analytics and emerging technologies to improve operational efficiency Workforce Management & Optimization: Calculate and plan headcount_requirements across global sites based on forecasted volumes and program-specific SLAs Monitor plan execution, analyzing performance metrics and capacity utilization Optimize cross-site resource allocation to maintain service levels during peak periods Partner with WFM teams to develop flexible staffing Process Innovation & Technology Integration: Leverage SQL and basic programming knowledge to develop semi-automated solutions using current AI models Identify opportunities for process automation and efficiency improvements across verification workflows Collaborate with technical teams to prototype AI/ML solutions for verification processes Drive continuous improvement initiatives using data-driven insights Stakeholder Management: Build strong partnerships with internal stakeholders including Operations, Finance, Tech teams, and Senior Leadership Coordinate with global verification sites to ensure consistent service delivery Lead governance meetings and provide regular updates on key metrics and initiatives Develop comprehensive business reviews and documentation for senior leadership BASIC QUALIFICATIONS Bachelor's degree in relevant field 5+ years of program/project management experience Strong proficiency in data analysis using Excel (Advanced level) and SQL Experience in workforce planning and capacity management Knowledge of verification processes and risk management principles Understanding of AI/ML concepts and their operational applications Demonstrated ability to learn new technologies and drive automation initiatives PREFERRED QUALIFICATIONS 5+ years of driving end to end delivery, and communicating results to senior leadership experience 5+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules Experience in verification operations or risk management Track record of implementing tech-enabled process improvements Strong stakeholder management skills across multiple organizational levels Experience with forecasting and capacity planning tools Background in process optimization and continuous improvement methodologies Knowledge of global operations and multi-site management Proven ability to translate business requirements into technical solutions Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Amazon is seeking a candidate to identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American Transportation Network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. TESS team in Hyderabad is looking for an innovative, hands-on and customer-obsessed BIE for it's Analytics team. This role requires an individual with excellent statistical and analytical abilities, strong attention to detail, deep knowledge of business intelligence solutions (like Microsoft Excel, SQL, Tableau, Redshift) as well as business acumen and ability to communicate clearly and collaborate with both business owners and other analytics teams. The candidate must be able to roll up his or her sleeves and work directly with the data. The ideal candidate should be endlessly curious, passionate about getting relevant insights from data, be a self-starter comfortable with ambiguity, and with an ability to work in a fast-paced and entrepreneurial environment. Primary responsibilities include 1. Defining the problem and building analytical frameworks to help the operations to streamline the process 2. Identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 3. Ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. The candidate will also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics. 4. Leverage AI/ML skill to build forecasting models and As a BIE I on the Transportation Engineering Systems Team, you will own business stakeholder engagement, focus on delivering new, or streamlining existing processes and programs, and create resports/dashboards to support network connectivity,defect reduction, improvements in productivity, and shape mid to long term planning and prioritization for supported business groups. You’ll work cross functionally with a broad range of business stakeholders to define detailed requirements and implement process/system based solutions for the Amazon Fulfillment/Transportation Network. Additionally, this role will require to create operational structure and provide data driven insights for strategic direction in determining investment prioritization for our business analytics and tech partners. You will utilize a range of analytical tools and techniques to build business reports, generate dashboards, create metrics to measure success and integrate upcoming tech features AL/ML into the worklflow while driving process automation. BASIC QUALIFICATIONS 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Business Intelligence

Job Requirements 1. Work on latest machine learning technologies 2. Work on supporting for latest Linux operating system 3. Work on AMD next generation GPUs/Accelerators 4. Work on optimizing latest Rocm drivers and improve performance 5. Design new machine learning technologies Work Experience MS/BS degree in Computer Science or an equivalent Deep Knowledge of C/C++ and Python programming Experience with Linux Commands is must Experience with Scripting language like bash/powershell Understanding of various python ML frameworks like Pytorch, Transformers etc Understanding of various language and compiler for writing highly efficient custom Deep-Learning GPU Kernels. like Triton/Jax Hands on Debugging Experience with gdb, valgrind etc Experience and understanding of AI Models and Inferencing Engines like vllm/ollama/llama.cpp/sglang Experience with Profiling tools needed to debug CUDA/ROCm Kernels like nsys/rocprof is a plus. Knowledge of GPU architecture, PC architecture Experience in writing ROCM/CUDA Kernels/Shader Deep understanding and experience in implementation of Machine learning and AI algorithm. Good communication skills and able to work with stakeholders effectively Knowledge of x86 assembly language and x86/x64 CPU instructions is a plus

Job Title: Data EngineerExperience Level: 5+ YearsLocation: Hyderabad Job Summary We are looking for a seasoned and innovative Senior Data Engineer to join our dynamic data team. This role is ideal for professionals with a strong foundation in data engineering, coupled with hands-on experience in machine learning workflows, statistical analysis, and big data technologies. You will play a critical role in building scalable data pipelines, enabling advanced analytics, and supporting data science initiatives. Proficiency in Python is essential, and experience with PySpark is a strong plus. Key Responsibilities Data Pipeline Development: Design and implement scalable, high-performance ETL/ELT pipelines using Python and PySpark. ML & Statistical Integration: Collaborate with data scientists to integrate machine learning models and statistical analysis into data workflows. Data Modeling: Create and optimize data models (relational, dimensional, and columnar) to support analytics and ML use cases. Big Data Infrastructure: Manage and optimize data platforms such as Snowflake, Redshift, BigQuery, and Databricks. Performance Tuning: Monitor and enhance the performance of data pipelines and queries. Data Governance: Ensure data quality, integrity, and compliance through robust governance practices. Cross-functional Collaboration: Partner with analysts, scientists, and product teams to translate business needs into technical solutions. Automation & Monitoring: Automate data workflows and implement monitoring and alerting systems. Mentorship: Guide junior engineers and promote best practices in data engineering and ML integration. Innovation: Stay current with emerging technologies in data engineering, ML, and analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in data engineering with a strong focus on Python and big data tools. Solid understanding of machine learning concepts and statistical analysis techniques. Proficiency in SQL and Python; experience with PySpark is highly desirable. Experience with cloud platforms (AWS, Azure, or GCP) and data tools (e.g., Glue, Data Factory, Dataflow). Familiarity with data warehousing and lakehouse architectures. Knowledge of data modeling techniques (e.g., star schema, snowflake schema). Experience with version control systems like Git. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Your future duties and responsibilities Required qualifications to be successful in this role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Responsibilities: Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Skills: Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Data Scientist II Hyderabad, Telangana, India Date posted Aug 01, 2025 Job number 1854865 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 3+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🔍 Fascinated by machine learning, data modeling, and solving real-world problems using code and data? Looking to gain hands-on experience and work on practical AI & data science projects — right from home? This is the opportunity for you! 🌟 About the Role: We’re seeking a driven and curious Data Science Intern to join our fully remote team. Whether you’re a student, recent grad, or self-taught learner, this internship is designed to give you practical exposure to real data science work — not just theory. You’ll assist with data cleaning, exploratory analysis, machine learning model building, and generating insights that matter. 🚀 What You’ll Gain: ✅ Remote Experience – Work from anywhere with full flexibility 🌍 ✅ Portfolio Projects – Build practical projects that showcase your skills 💼 ✅ Tool Proficiency – Work with Python, Pandas, Scikit-learn, Jupyter, and more 🛠️ ✅ Career Boost – Strengthen your resume for roles in AI, ML, and data science fields 🚀 👀 Ideal Candidate: 🎓 Studying or recently completed coursework in Data Science, Computer Science, Engineering, or related fields 📊 Familiar with Python, Jupyter Notebooks, Pandas, NumPy, Matplotlib (Scikit-learn is a plus!) 🧠 Strong logical thinking, love for data, and eagerness to learn 💡 Comfortable working independently in a remote setup and contributing to team projects 📅 Apply By: August 5th Ready to turn data into decisions and code into impact? Join us for a transformative experience in data science. Let’s learn, build, and innovate together through data! 📈🧠

At Alkye we are seeking a Senior Python Developer to join our dynamic team in Mohali. As a Senior Python Developer, you will play a crucial role in developing robust web applications, integrating front-end elements, maintaining software frameworks, and ensuring the creation of resuable and adapatable codebase. Experience - 8-10 years About Us We are a dynamic and innovative Digital Services company, specializing in cutting-edge technology solutions across web and app development, UIUX, AI-driven platforms, digital marketing, and data science. We enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to deliver the best digital products. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual and team contributions. Responsibilities: Develop and maintain web applications using flask, Django framework. Develop APIs using Django rest framework. Integrate front-end elements into applications to enhance user experience. Create and maintain various software frameworks to support application development. Write reusable and adaptable code to optimize application performance and scalability. Collaborate with the team to incorporate PyCharm as the preferred IDE for development projects. Qualifications: Bachelor's or Master's degree in Computer Science or relevant fields such as Engineering or Mathematics. Minimum of 10 years of experience as a backend developer with solid experience in Python Frameworks with a strong emphasis on Django Framework. Experience working with SQL databases such as MySQL, PostgreSQL, etc. Knowledge of AWS, Git, and Docker is considered a plus. Experience with PyTorch and ML frameworks for machine learning tasks. Good understanding of software engineering principles, frameworks, and design patterns. Ability to work independently with attention to detail and quality. Strong collaboration skills with the ability to communicate effectively with both technical and non-technical stakeholders. Excellent analytical skills and problem-solving abilities. Demonstrated commitment to staying updated with the latest trends, technologies, and programming languages. If you are passionate about Python development, possess the required skills and experience, and thrive in a collaborative team environment, we encourage you to apply for this exciting opportunity at Alkye. What We Offer: Our commitment to being a remarkable workplace, offering meaningful employment where you can contribute to shared values. Delivering Memorable Moments. Joining Alkye India comes with a range of perks; Competitive packages, with a Monthly Bonus scheme for outstanding teamwork. Tailored development opportunities for everyone at all levels and all roles. The opportunity to join a fast-growing global company located in EMEA and APAC. Modern, spacious global offices, with opportunities to travel for top performers. Job Type: Full-time Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Python: 9 years (Required) Work Location: In person Expected Start Date: 12/08/2025

Job Title: Mobile App Developer (Android / iOS / Flutter) Location: Notasco Technologies, Madurai Experience: 0–2 years Employment Type: Full-time About Us Notasco Technologies is a leading IT solutions provider based in Madurai, empowering businesses through innovative digital solutions. We specialize in mobile app development, full stack, cloud, AI/ML, and digital transformation services. Job Overview We are looking for passionate Mobile App Developers who have experience in Android (Java/Kotlin) , iOS (Swift/Objective-C) , or Flutter (Dart) to design and develop high-quality mobile applications for both platforms. Key Responsibilities Design and build advanced applications for Android/iOS using native or Flutter frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Work on bug fixing and improving application performance. Maintain code quality, organization, and automation. Deploy apps to Google Play Store and/or Apple App Store. Integrate APIs and third-party libraries as required. Stay updated with the latest mobile development trends and technologies. Skills Required For Android: Strong knowledge of Java/Kotlin , Android SDK, and Android Studio Experience with RESTful APIs and JSON For iOS: Strong command of Swift/Objective-C , Xcode, and UIKit Familiar with iOS Human Interface Guidelines and Apple’s design principles For Flutter: Solid experience with Dart and Flutter framework Ability to build responsive, scalable UI across devices General: Experience with Firebase, SQLite, Push Notifications, and app debugging Good understanding of mobile app lifecycle Version control tools (Git) Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

Title: - AI Engineer Location: Remote Type: Full-time Experience: 2–5 years About Omelo Omelo is India’s first intelligent pet health companion, an AI-powered assistant that helps pet parents care for their pets proactively. From image-based symptom scanning (skin, eyes, stool) to multilingual chat and vet-backed guidance, we’re building the health stack pets deserve. Every year, millions of pets in India go undiagnosed due to a lack of access or awareness. At Omelo, we’re changing that, with inclusive, AI-first tools accessible via WhatsApp, web, and mobile. Why This Role Matters AI isn’t a support function here; it is the product. From visual health scans to symptom conversations, every user interaction is powered by real-time AI. What You’ll Work On Build and scale computer vision models to detect pet health symptoms (e.g., rashes, eye infections, stool quality) Enhance our multimodal AI assistant, combining vision, NLP, and structured inputs Lead end-to-end AI workflows: data labeling, training, optimization, and deployment Tune models with real-world feedback loops, improving performance across diverse pet types and conditions Collaborate with product, design, and vet advisors to ship features that are clinically useful and intuitive Bonus: Proficient in using LangGraph What Success Looks Like in 3–6 Months Ship 2 high-impact CV modules (e.g., skin or stool detection) used in production Improve top-line model precision/recall by 30% via iteration and feedback Deploy your models into production across mobile/web with real user traction Contribute meaningfully to our core health scoring and assistant logic. What We’re Looking For 2–5 years of experience building and shipping ML models, especially in health, agri, food, or diagnostic tech Strong hands-on experience with computer vision (CNNs, classification, segmentation, etc.) Comfort with NLP or LLMs for enhancing chat-based UX (Hugging Face, LangChain, etc.) Fluent in Python and familiar with tools like TensorFlow/PyTorch, FastAPI, GCP/AWS Bonus: Experience with mobile inference (ONNX, Core ML, TensorFlow Lite) Bonus: You’ve worked with real-world health or animal datasets (not just academic ones) Tools & Workflow We Work With Python, PyTorch, TensorFlow, Hugging Face FastAPI, Label Studio, ONNX GCP, Firebase, Postgres You don’t need to know them all, but familiarity helps! What We Offer AI is the product, not a side project Real-world pet health data, with vet-labeled image and symptom datasets Direct collaboration with the founder, engineers, and vet experts Fast cycles, zero bureaucracy, and full model ownership Path to early equity and technical leadership for the right person Note: This is a paid internship.Skills: mobile,bonus,machine learning,building,chat,data,pytorch,aws,core ml,tensorflow lite,computer vision,health,fastapi,nlp,models,multimodal ai,onnx,datasets,hugging face,gcp,langgraph,python,tensorflow,ai

Job Applicant Privacy Notice Enterprise Architect-Tooling Publication Date: Jul 31, 2025 Ref. No: 530283 Location: Chennai, IN Who we are. We are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society. Together we create reliable and responsive digital foundations for the world’s businesses, institutions, and communities. Learn more on Advancing what matters About Atos Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Enterprise Architect (EA) – Tooling Location: Bangalore (Whitefield) or Pune (Talawade) or Mumbai (Airoli (West) or Chennai (Siruseri). Type of Hire: Full-Time Job Description: The Tooling Architect is responsible to serve as a technical architect on large-scale enterprise architecture (EA) projects focused on tooling and automation solutions within the Hybrid Cloud and Infrastructure area. This position will work with Atos Global Tooling & Automation team & Pre-sales Architects to provide consultation and strategic guidance to clients and other senior staff in addressing complex enterprise–level systems engineering and integration challenges. The role of the Tooling Architect is to bridge the communication gap between the technical engineering team and the non-technical specialists to drive successful implementation of the tooling scope. Through collaboration with teams involved from bid to end delivery, the Tooling Architect will cover the risk of tooling misalignment with stakeholder requirements and ensure that the solution fits the defined purpose. Key duties and responsibilities: Architectural Designs: Producing High Level Designs describing the proposed end-to-end architecture and Producing Low Level Designs describing in detail the proposed implementation, ensuring that designs meet both the business requirements and platform strategy. Project Management: Working with the Project Manager to identify the scope, deliverable, key tasks, and dependencies between tasks. Workshop Management: Leading workshops with stakeholders including technical and non-technical participants to understanding problem statements, requirements, produce designs or review technical solutions. Technical Leadership: Working with the Head of architecture to manage demand and architecture reviews. Evaluating, challenging, and recommending improvements to proposed technical solutions submitted by technical teams. Ensuring that designs and implementations proposed align with the platform engineering strategy. Contribute to the overall solution strategies and roadmaps. Requirement Analysis: Working with stakeholders to gather, analyse, and document business requirements, translating them into functional specifications. Understanding the current mode of operation (CMO) including process, data, people, technology. Governance and Compliance: Ensure that the designs proposed comply with organizational policies, standards, and regulatory requirements including security. Stakeholder Communication: Communicate technical concepts and project status to non-technical stakeholders, providing clear and concise updates. Act as a facilitator to bring together different stakeholder and experts to produce an end-to-end solution. Training & Mentorship: Provide training and mentorship to development teams and junior architects, fostering a culture of continuous learning and development. Technical understanding and Experience Good Technical Understanding and Experience of DevOps technologies including version control (e.g. Git), Build automation tools (e.g. Argo CD, GitHub Actions), development automation (Kubernetes, Docker, etc.) including Crossplane. Good Technical Understanding and Experience of Cloud technologies (e.g. AWS, Azure, Google, etc.) Good Technical Understanding and Experience of Virtualization (e.g. VMWare) Good Technical Understanding and Experience of Network technologies Good Technical Understanding and Experience of Security Products and the principles of good security practice Good Technical Understanding and Experience of Automation Tooling solutions (e.g. Ansible, TSSA, etc.) Good Technical Understanding and Experience of AI/ML and GenAI and the applications of these to IT Operations Good Technical Understanding and Experience of Monitoring Tools and AI/OPs Good Technical Understanding and Experience of IT Service Management Systems (e.g. ServiceNow) Good Technical Understanding and Experience of Infrastructure technologies Soft Skills: Strong verbal and written communication skills in English Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Effective project management and organizational skills. Ability to work collaboratively in a team environment. Ability to work with a high degree of autonomy. Strong customer and stakeholder skills Qualifications: At least 7 years’ experience working as an enterprise architect is expected. A bachelor’s degree in computer science, information technology or related field. Any relevant certificates to prove competency in areas specified. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos. Learn more about us At Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment here. Whether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management – tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more here

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design, develop, and implement AI tools - ML models to solve complex business problems Develop robust, scalable, and maintainable code that meets the high standards of quality and performance Developing scripts or tools to automate repetitive tasks Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Provide guidance on how to best use specific tools or technologies to achieve the desired results Communicate and present complex analytics results and concepts to leadership and internal stakeholders Collaborate with the team to identify opportunities for AI/ML integration Creating documentation for infrastructure design and deployment procedures Stay current with the latest trends and advancements in the field of AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor of Science in computer science or related quantitative field 3+ years of experience with software engineering and software development life cycle (SDLC) 3+ years of experience with demonstrable proficiency in programming languages such as Java or Python 2+ years of experience with one of the cloud platforms (Azure, AWS or GCP). Azure cloud experience preferred 2+ years of experience as backend developer (Springboot, FastAPI) Experience building APIs Experience implementing machine learning and AI techniques Experience working within the healthcare industry or another regulated environment Experience in Python using common data science libraries Experience with DevOps practices, including CI/CD Experience building large-scale, consumer-facing applications Experience working in an Agile environment AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC #NJP

Job Information Date Opened 07/25/2025 Job Type Permanent RSD NO 11513 Industry IT Services Min Experience 5 Max Experience 7 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600018 Job Description Data Scientist – Retail/CPG Domain Are you a data-driven problem solver with a passion for Retail and CPG analytics? We’re looking for a contract-based Data Scientist to join our team and deliver high-impact insights that drive business decisions. What You’ll Work On: Category & Product Analytics – Product assortment, category performance, and new product launches Sales Data Analysis – Sales trends, forecasting, and identifying key drivers Customer Analytics – Loyalty data and campaign effectiveness (good to have) Key Skills: Advanced data analysis and ML model development Experience with CI/CD pipelines for ML workflows (MLflow, Azure ML) Strong in Python, SQL, Databricks; PySpark is a plus Power BI experience is a plus for building impactful dashboards and visualizations Ability to translate insights into compelling stories for senior stakeholders Deep understanding of Retail and FMCG domain challenges Experience Required: 5–7 years in analytics Location: Bangalore / Chennai At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

DESCRIPTION As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon’s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory • Strong analytical thinking • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS • Master's degree with specialization in ML, NLP or Computer Vision preferred • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Creative Designer & AI-Powered Video Editor Job Description: We are looking for a Creative Designer & Video Editor who is passionate about pushing the boundaries of visual storytelling using AI tools and advanced editing software. You will be responsible for creating engaging content across multiple platforms, blending creativity with cutting-edge technology. Key Responsibilities: Design compelling visual assets for digital campaigns, branding, and social media. Edit high-quality videos for advertisements, reels, brand stories, and motion graphics. Utilize AI tools (e.g., Runway ML, Pika, Adobe Firefly, Sora, Topaz, D-ID, etc.) for video enhancement, animation, and generative design. Collaborate with content and marketing teams to bring concepts to life with strong narratives. Stay up-to-date with design trends, editing techniques, and emerging AI creative tools. Optimize visual content for different platforms (YouTube, Instagram, websites, etc.). Assist in storyboarding and creative planning for shoots when required. Requirements: Proven experience in graphic design and video editing (portfolio required). Expertise in tools like Adobe Premiere Pro, After Effects, Photoshop, Illustrator. Familiarity with AI-based design/editing tools (e.g., Midjourney, Runway, Kaiber, Pika Labs, ElevenLabs). Strong understanding of visual storytelling and social media content formats. Creative thinking with a strong sense of aesthetics and detail. Ability to manage multiple projects with tight deadlines. Preferred: Motion graphics or animation skills. Experience in using text-to-video or image-to-video AI tools. Knowledge of color grading, VFX, or sound design is a plus. Job Type: Full-time Pay: ₹15,000.00 - ₹47,169.70 per month Schedule: Day shift Work Location: In person

Job Description: Gen AI Exp: 3+ Years Required Skills and Experience: Strong experience with M365 Gen AI and Co-pilot Studio. Proficiency in AI/ML technologies and frameworks. Experience with SharePoint Online and Azure services. Excellent problem-solving and communication skills. Proven track record of developing and implementing AI solutions. Experience with Azure AI services (e.g., Cognitive Services, Machine Learning). Desired Skills and Experience: Experience with natural language processing (NLP) and machine learning (ML). Familiarity with Microsoft 365 development tools and services. Agile development experience. Knowledge of accessibility and UX best practices.

About Us: At Brennan machinery inc , were revolutionizing IT healthcare using AI, a cutting-edge platform for non-pharmacological health condition management. Our mission is to improve patient health outcomes while fostering social support and leveraging AI-powered tools to enhance engagement and results. Join us in shaping the future of health and wellness! Position Summary: Were looking for a Tech Lead / Software Engineer to spearhead the development of our platform, from the foundational architecture to advanced features like AI bots, nudge systems, and rewards. This role requires a visionary leader with hands-on coding skills and a strong background in building scalable, user-centric systems. Key Responsibilities: Architecture & Development: Design and implement the platforms core architecture, ensuring scalability and security. Feature Implementation: Develop key features like nudges, progressive reminders, support networks, rewards systems, and testimonial integrations. AI Integration: Build customizable AI bots for health condition-specific assistance and patient engagement. Data Management: Enable health data recording and analytics for providers and patients. Team Collaboration: Work with cross-functional teams, including product managers and designers, to align technical solutions with business objectives. User Experience: Prioritize seamless user interactions for personas such as Admin, Provider, Patient, Manager, and Support Network members. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science or related field. 1-5+ years of experience in full-stack development. Expertise in JavaScript (React, Node.js), Python, or similar frameworks. Strong understanding of cloud platforms (e.g., AWS, Google Cloud) and microservices architecture. Experience with AI/ML tools and APIs (e.g., OpenAI, TensorFlow). Strong communication skills with a remote-first mindset. Job Type: Full-time Pay: ₹233,610.81 - ₹400,000.00 per year Benefits: Work from home Application Question(s): What is your salary expectation? Experience: Software development: 1 year (Required)

Job Information Date Opened 08/01/2025 Job Type Permanent RSD NO 10889 Industry IT Services Min Experience 3 Max Experience 4 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600018 Job Description Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Scientific Machine Learning, Statistical Modelling, and Data Visualization. Must have experience with the development and implementation of various core regression, classification and recommendation Machine Learning algorithms. Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

Job Description: We are seeking a driven and innovative AI Engineer with hands-on experience in Generative AI (GenAI) and LLM-based solutions . This is an exciting opportunity to work on cutting-edge projects that push the boundaries of automation, intelligent agents, and natural language understanding. As part of our growing AI team, you'll collaborate closely with product managers, data scientists, and full-stack developers to design, build, and deploy scalable AI systems. Experience Required: 1 to 2 years Key Responsibilities: Build and fine-tune intelligent agents and chatbots using LLMs. Design and develop tools to process and analyze unstructured data (text, PDFs, images). Implement Retrieval-Augmented Generation (RAG) pipelines. Collaborate with cross-functional teams to integrate GenAI-based solutions. Contribute to architectural decisions for scalable AI systems. Stay updated on the latest in LLMs, GenAI, and AI tooling. Key Skills & Tools: Languages & Frameworks: Python (core) FastAPI (preferred) LangChain AI/ML Tools: LangChain, OpenAI APIs, Hugging Face, Transformers Vector DBs: FAISS, ChromaDB LLM Orchestration & Deployment Project Experience: GenAI projects using unstructured data (e.g., text, PDFs, images) LLM-powered tools or agents Retrieval-Augmented Generation (RAG) DevOps/Tooling: Git, Docker, Postman, CI/CD Databases: MongoDB, PostgreSQL, ChromaDB (for embeddings/metadata) Cloud Platforms (Preferred): AWS, GCP, or Azure (especially for AI integrations) Soft Skills: Passion for AI and innovation Curiosity and adaptability to emerging tech Strong problem-solving and analytical mindset Excellent communication and teamwork skills Perks & Benefits: Hands-on exposure to LLM and GenAI technologies Performance-based incentives Continuous learning & upskilling opportunities Flexible and transparent work arrangements Fun & team engagement activities Job Types: Full-time, Permanent Application Deadline: 09/08/2025

Job Title: AI/ML Developer Location: On-site Job Type: Full-Time Experience: 1–3 years preferred About the Role: We’re looking for a skilled and passionate AI/ML Developer to join our team. You’ll be responsible for designing, developing, and deploying machine learning models and AI-powered solutions that drive business impact. If you love working with data and turning algorithms into real-world applications, we’d love to connect. Key Responsibilities: Design and implement machine learning models and algorithms Preprocess and analyze large datasets for training and validation Deploy ML models into production using tools like Docker, FastAPI, or cloud platforms Collaborate with data scientists, engineers, and product teams Optimize models for performance, scalability, and accuracy Stay updated with the latest advancements in AI/ML Required Skills: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.) Experience in data preprocessing, feature engineering, and model evaluation Hands-on with cloud platforms (AWS, GCP, or Azure) Familiarity with NLP, computer vision, or deep learning (a plus) Strong problem-solving and communication skills Preferred Qualifications: Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field Experience with MLOps, CI/CD pipelines for ML models Knowledge of SQL/NoSQL databases and REST APIs Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Food provided Paid sick time Education: Bachelor's (Preferred) Experience: Machine learning: 1 year (Required) Work Location: In person