9198 Pytorch Jobs - Page 9

Lead and mentor a high-performing data science team. Drive end-to-end ML and GenAI projects from ideation to deployment. Define and execute data strategies aligned with business objectives. Collaborate with engineering, product, and business teams. Ensure data integrity, governance, and scalable infrastructure. Implement and manage MLOps practices (CI/CD, monitoring, model retraining). Stay updated with advancements in AI, GenAI, and ML technologies. Proficient in Python, ML frameworks (TensorFlow, PyTorch), GenAI tools (e.g., LLMs), cloud platforms (AWS/GCP/Azure), and MLOps pipelines. Trivandrum Kerala India

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 40966 Job Description Business Title Process Executive - AI & Service Management Global Function Business Services Global Department Service Management Reporting to Senior Manager - Center Projects Size of team reporting in and type NA Role Purpose Statement An artificial intelligence (AI) engineer is responsible for designing, developing, and deploying AI solutions that enhance business processes and solve complex problems. Collaborating with cross-functional teams, AI engineers build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that inform AI development. Prototyping and testing. Create prototypes to test AI applications and refine machine learning techniques. Stay updated on advancements. Research and implement the latest advancements in AI and machine learning frameworks. Integrate AI solutions. Implement AI into existing software systems to enhance functionality and user experience. Knowledge and Skills Behavior Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles.. Drive results through high standards, focus on key priorities, organization, and preparing others for change. Technical A bachelor’s degree in computer science, data science, or a related field; a master’s degree is preferred. Work experience. Hands-on experience in AI development, data analysis, and machine learning techniques. Technical skills. Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch and Azure. Education & Experience Education. A bachelor’s degree in computer science, data science, or a related field; a master’s degree is preferred. Work experience. Hands-on experience in AI development, data analysis, and machine learning techniques. Technical skills. Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch and Azure. Soft skills. Strong communication skills and problem-solving abilities to work effectively with stakeholders and cross-functional teams. Certifications. Relevant certifications in AI and machine learning enhance a candidate’s skill set. Knowledge base. Expertise in neural networks, natural language processing, and predictive models. Data engineering. Experience working with big data, pipelines, and statistical analysis tools. Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. Veterans/Disabled

Job Information Date Opened 05/08/2025 Job Type Permanent Work Experience 5+ years Industry Government & Public Sector Salary 35 Lakhs City Bangalore North Province Karnataka Country India Postal Code 560002 Job Description About Scrumconnect Consulting: Scrumconnect Consulting, a multi-award-winning firm recognized with UKIT awards such as Best Public Sector IT Project, Digital Transformation Project of the Year, and a Special Award for Organisational Excellence during the pandemic, is at the forefront of innovation in tech consulting. Our work impacts over 40 million UK citizens, with successful projects in key government departments like the Department for Work and Pensions, Ministry of Justice, HM Passport Office, and more. Overview We’re seeking a seasoned Data Lead to own and deliver the data strategy for Govt client that uses services used by over 18m citizens encompassing three newly rebuilt benefits systems. You will define where our data capabilities are today, set the future vision, and architect the roadmap to get us there—then design the data team to execute it. About the Role This is a Senior Level, hands-on role for someone who loves building end-to-end AI solutions. You will work closely with the engineering and product teams to develop robust machine learning models and AI-driven features. This role is ideal for candidates who enjoy working in fast-paced environments, taking ownership of technical components, and solving real-world problems with AI. Responsibilities AI Development & Integration Develop, train, and optimize models in NLP, deep learning, or LLMs Build full model pipelines: data preprocessing, model training, evaluation, and deployment Work with tools like PyTorch, TensorFlow, Hugging Face, or JAX Integrate AI models into production environments with a focus on scalability and performance Contribute to AI feature prototyping and experimentation AI Infrastructure & Deployment Use cloud platforms (AWS, GCP, or Azure) to deploy AI solutions Utilize Docker and Kubernetes for containerized deployments Maintain model reliability, version control, and performance monitoring in production Data Engineering & MLOps Work on ETL processes and data pipelines to support model development Follow MLOps best practices for CI/CD, model tracking, and monitoring Ensure performance, scalability, and maintainability of AI systems Requirements Minimum Qualifications 7+ years of experience in software or AI/ML engineering roles Proven experience building and deploying ML models, especially in NLP or deep learning Proficient in Python and familiar with libraries like PyTorch, TensorFlow, or Hugging Face Experience with cloud services (AWS, GCP, or Azure) and container tools (Docker, Kubernetes) Good understanding of data structures, algorithms, and distributed systems Preferred Qualifications Experience working with large language models (LLMs) such as GPT, BERT, etc. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow) Background in legal-tech or regulated domains (a plus, not required) Experience working in fast-paced startup environments or early-stage product development

Senior Machine Learning Engineer Bangalore, Karnataka, India Date posted Aug 05, 2025 Job number 1856522 Work site Up to 100% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are building a planet-scale multi-modal database from the ground up. You will be part of the team that is reimagining the databases in the era of Large Language Models (LLMs) by deeply integrating Artificial Intelligence (AI) into all parts of the stack. As a Senior Machine Learning Engineer , you will collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learning systems, with an emphasis on production-grade solutions involving data pipelines, distributed training, model serving, and performance optimization. You are experienced in machine learning engineering from ideation and algorithm selection, to architecture and implementation, to deployment and continuous improvement. Successful engineers in our team have problem solving, design, coding and debugging skills, drive for execution and results, rigor in delivering quality software and a desire for continuous learning. Our team values a friendly, collaborative atmosphere with a passion for technology, and we believe that a diverse team with diverse perspectives that applies empathy and uses great communication skills helps deliver superior products and is key to success. This is a great opportunity to challenge yourself, grow your career, and influence the next generation of computing at Microsoft. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Required Qualifications Bachelor's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proven experience in training large-scale modern Machine Learning (ML) models (e.g., transformers, diffusion models, foundation models). Hands-on experience in key model optimization techniques (e.g., mixed precision training, distributed training, fine-tuning, RLHF, LoRA). Familiarity with model evaluation, data curation pipelines, and reproducible research practices. Preferred Qualifications Master's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Deep understanding of modern deep learning frameworks such as PyTorch or TensorFlow, and scalable training infrastructure. First-author publication in top-tier machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Responsibilities . Develop and deploy scalable Machine Learning models. Develop robust evaluation frameworks to assess model performance, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards. Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs. Drives high-stakes negotiations across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives. Ensures that teams apply an understanding of research approaches used across and outside of the company to leverage (and not re-invent) solutions. Represents the organization across the company. Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company/products and provides a competitive or strategic advantage. Drives programs structured around the specificity of key business challenges. Provides strategic direction for the kinds of data used to solve problems. Embody our culture and values. 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.

Principal Machine Learning Engineer Bangalore, Karnataka, India Date posted Aug 05, 2025 Job number 1856521 Work site Up to 100% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are building a planet-scale multi-modal database from the ground up. You will be part of the team that is reimagining the databases in the era of Large Language Models (LLMs) by deeply integrating Artificial Intelligence (AI) into all parts of the stack. As a Principal Machine Learning Engineer , you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learning systems, with an emphasis on production-grade solutions involving data pipelines, distributed training, model serving, and performance optimization. You are experienced in machine learning engineering from ideation and algorithm selection, to architecture and implementation, to deployment and continuous improvement. Successful engineers in our team have problem solving, design, coding and debugging skills, drive for execution and results, rigor in delivering quality software and a desire for continuous learning. Our team values a friendly, collaborative atmosphere with a passion for technology, and we believe that a diverse team with diverse perspectives that applies empathy and uses great communication skills helps deliver superior products and is key to success. This is a great opportunity to challenge yourself, grow your career, and influence the next generation of computing at Microsoft. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proven experience training large-scale modern Machine Learning (ML) models (e.g., transformers, diffusion models, foundation models). Hands-on experience in key model optimization techniques (e.g., mixed precision training, distributed training, fine-tuning, RLHF, LoRA). Familiarity with model evaluation, data curation pipelines, and reproducible research practices. Preferred Qualifications Master's Degree in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR in Computer Science, Machine Learning or Artificial Intelligence, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Deep understanding of modern deep learning frameworks such as PyTorch or TensorFlow, and scalable training infrastructure. First-author publication in top-tier machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Responsibilities Develop and deploy scalable Machine Learning models. Develop robust evaluation frameworks to assess model performance, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards. Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs. Drives high-stakes negotiations across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives. Ensures that teams apply an understanding of research approaches used across and outside of the company to leverage (and not re-invent) solutions. Represents the organization across the company. Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company/products and provides a competitive or strategic advantage. Drives programs structured around the specificity of key business challenges. Provides strategic direction for the kinds of data used to solve problems. Embody our culture and values. 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.

Role Overview The Senior AI Scientist is a technical role responsible for driving the development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives. The ideal candidate combines a strong AI solution development experience, and collaboration across cross-functional business, product and other teams.Responsibilities1. Generative & Agentic AI• Build and deploy GenAI models for text generation and content automation.• Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc.• Develop agentic AI systems with autonomous task planning and decision-making capabilities.2. Large Language Models (LLMs)• Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks• Establish the best practices for LLMOps, including prompt engineering and monitoring.• Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components• Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc.• Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms• Experience in evaluating AI solutions using appropriate metrics Skills1. Experience in any one Python/Java/R/.Net software languages. Experience in one of databases like SQL/MongoDB etc.2. Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Experience in MLOps and AI deployment infrastructure.4. Experience in AWS/Azure/Google Cloud Services(anyone).5. Knowledge of responsible AI practices, including bias mitigation and ethical AI useQualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a deep understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain. Qualifications 1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc. Job Location

Job Title: AR/VR Intern Location: Gurgaon Duration: 6 Months Type: Paid Internship About the Role: We are seeking a passionate and creative AR/VR Intern who is excited about immersive technologies and eager to explore the possibilities of Augmented Reality (AR) and Virtual Reality (VR) in real-world applications. You'll assist our development/design team in building engaging, interactive 3D experiences for various platforms. Key Responsibilities: Assist in designing and developing AR/VR content and applications using tools like Unity or Unreal Engine Work with 3D assets, animation, shaders, and effects Collaborate with cross-functional teams to implement immersive features Test and optimize AR/VR applications for performance and usability Research the latest trends and tools in AR/VR to propose innovative ideas Ideal Candidate Should Have: ✔ Basic knowledge of Unity 3D / Unreal Engine ✔ Understanding of AR/VR SDKs (e.g., ARCore, ARKit, Vuforia, Meta SDK) ✔ Familiarity with C# or Blueprint scripting ✔ Exposure to 3D modeling tools Technical Skills: Languages: Python, C, C++, HTML, CSS, Bootstrap, PyTorch Developer Tools: VS Code, Google Colab Technologies/Frameworks: SciKit Learn, NumPy, Pandas, matplotlib, Git/GitHub, Data Structure and Algorithm, Machine Learning Algorithms, Artificial Intelligence Bonus if You Have: Experience building basic prototypes or projects in AR/VR Exposure to WebXR, Three.js, or A-Frame Interest in gaming, training simulations, healthcare, education, or retail-based AR/VR solutions Job Type: Internship Contract length: 6 months Pay: ₹100,000.00 - ₹180,000.00 per year Work Location: In person Speak with the employer +91 8218651881

Job Title: Technical Team Lead Location: Somajiguda, Hyderabad Department: Technology / Engineering Reports To: CTO / Head of Engineering Employment Type: Full-time About the Role We are looking for a highly skilled and motivated Technical Team Lead to lead our development team and drive the technical vision of our products. This role requires a deep understanding of both front-end and back-end development , proficiency in modern AI/ML frameworks , and the ability to architect scalable and high-performing systems. You will mentor engineers, collaborate cross-functionally, and ensure timely delivery of robust technology solutions. Key Responsibilities Lead the design, development, and deployment of scalable web and mobile applications. Collaborate with product managers, designers, and other stakeholders to define technical requirements and system architecture. Oversee full-stack development across modern front-end frameworks (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, PHP Laravel, Python, Java). Integrate AI/ML models and APIs into products using tools like TensorFlow, PyTorch, OpenAI, or LangChain. Implement CI/CD pipelines, version control practices (Git), and code quality standards. Evaluate and adopt tools for observability, monitoring, testing, and automation. Provide technical mentorship and conduct code reviews to ensure high-quality code. Coordinate sprint planning, task breakdown, and delivery timelines using Agile methodologies. Ensure security best practices across applications, APIs, and data systems. Research and recommend new technologies to keep the stack modern and efficient. Technical Skills Required Front-End: HTML5, CSS3, JavaScript, TypeScript, React, Angular, Vue.js Back-End: Node.js, PHP (Laravel/Symfony), Python (Django/Flask), Java (Spring Boot), .NET AI/ML: Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LLM integration Databases: MySQL, PostgreSQL, MongoDB, Redis DevOps: Docker, Kubernetes, GitHub Actions, Jenkins, AWS/GCP/Azure Testing & QA: Jest, Mocha, Selenium, Postman, Cypress Others: RESTful APIs, GraphQL, WebSockets, OAuth2.0, Webhooks Leadership & Communication Strong leadership and team management skills. Ability to break down complex problems and guide the team to solutions. Excellent verbal and written communication to convey technical concepts to non-tech stakeholders. Ability to thrive in a fast-paced, agile, and constantly evolving environment. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 5+ years of experience in full-stack development, with at least 2 years in a lead or managerial role. Experience with AI-driven product development or AI-enhanced features. Familiarity with PWA, mobile app development (Flutter, React Native), or microservices architecture. Why Join Us Work on cutting-edge technologies and innovative AI-driven products. Dynamic and inclusive work culture that values growth, learning, and impact. Opportunities for professional development and leadership advancement. How to Apply Send your updated resume and a brief note on why you’re a great fit to hcm@bizionictech.com, savyasri@bizionictech.com . Include links to your GitHub, portfolio, or notable projects if available. Job Type: Full-time Pay: ₹24,227.65 - ₹60,000.00 per month Benefits: Food provided Provident Fund Schedule: Day shift

Job Title: AI Systems Engineer – GPU/ROCm/CUDA | ML Frameworks Optimization Location: Hyderabad Experience : 3-6 [Mid-Senior] Job Description: We are looking for a passionate and experienced AI Systems Engineer to join our team to work on next-generation Machine Learning technologies and optimize performance across AMD GPU accelerators. This role involves low-level GPU programming, custom ML kernel development, and working with state-of-the-art inference engines. Key Responsibilities: Develop and optimize custom Deep Learning GPU kernels using ROCm/CUDA or shader languages Support and enhance ML model deployment on Linux platforms Optimize performance of ROCm drivers and inferencing engines for AI/ML workloads Collaborate closely with internal hardware/software teams to support next-gen GPU accelerators Profile, debug, and improve performance of GPU kernels and AI model pipelines Contribute to designing and implementing new AI technologies and workflows Required Skills & Qualifications: BS/MS in Computer Science, Electrical Engineering , or equivalent Strong programming skills in C/C++ , Python Solid experience working with Linux CLI , bash scripting , or PowerShell Hands-on experience with Python ML libraries such as PyTorch , Transformers Knowledge of writing high-performance ML kernels using Triton , JAX , or similar Experience with debugging tools like gdb, valgrind, and profiling tools such as nsys, rocprof Familiarity with AI inferencing runtimes such as vllm , ollama , llama.cpp , or sglang Understanding of GPU and PC architecture , x86/x64 instruction sets Experience developing with ROCm , CUDA , or shader programming Nice to Have: Knowledge of x86 Assembly Contributions to open-source ML/DL performance libraries Exposure to compiler optimization techniques for GPU code What We Offer: Work on cutting-edge GPU technologies and ML systems Exposure to performance-critical AI workloads Collaborative and research-oriented environment Competitive compensation and career growth opportunities Apply: If you are looking for job change share your updated resume to vagdevi@semi-leaf.com Job Type: Full-time Pay: Up to ₹3,000,000.00 per year Experience: Deep Learning GPU kernels using ROCm/CUDA: 2 years (Required) programming skills in C/C++, Python: 1 year (Required) Python ML libraries such as PyTorch, Transformers: 1 year (Required) developing with ROCm, CUDA, : 1 year (Required) Work Location: In person Speak with the employer +91 7483459258

Manager - Technology Date: Aug 4, 2025 Location: Hyderabad, IN Requisition ID: 13151 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Manager - Technology Location: Remote Function/Department: Platform Engineering Position Summary : The Technical Lead with 6-10 years of experience will oversee the development, maintenance, and optimization of software applications. This role requires a deep understanding of both front-end and back-end technologies with MERN stack and leadership skills to mentor and guide a team of developers. The ideal candidate should be passionate about technology, thrive in a collaborative environment, and has a proven track record of delivering high-quality software solutions. Responsibilities : Lead the design, development, and deployment of large scale software applications using the MERN stack. Collaborate with product managers, architects and other stakeholders to understand requirements and translate into technical specifications. Provide technical guidance and mentor the team. Create and own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews, maintain code quality, standard and provide constructive feedback to team members. Troubleshoot complex technical issues. Manage project timelines and deliverables. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage . REQUIRED SKILLS Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Proficiency in front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies. Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Excellent written and oral communication skills Ability to work effectively in a cross-functional team and proven ability to lead and mentor a team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Roles & Responsibilities 1. As part of our Data Science team, you will solve some of the most challenging and impactful problems in Natural Language Processing, Machine Learning, Deep Learning, recommendation Systems, Information Retrieval and Voice Recognition for improving Customer experience, Doctor experience and operational challenges in delivering millions of consultations. 2. You will design and develop machine learning models that help extract structured data from consultations in multiple Indian languages, along with models for various problems impacting overall business metrics. 3. You have hands-on implementation experience with building machine learning models into products and are well versed with Python, R, scikit-learn, NumPy, Pandas, PyTorch, TensorFlow, Keras or similar frameworks. 4. You have the necessary data pre-processing and engineering skills to roll out the models and classifiers; Have experience with relational and document DBs. Have good understanding of scalability challenges and have deployed and ran real-time scalable ML models in production. 5. You will be working with Doctors and Nurses to help garner the relevant domain knowledge for building useful models. 6. You will also be closely working with product teams to deliver AI driven product experiences. Skills & Qualifications 3+ yrs. relevant experience in Data Science, Machine Learning, NLP 1. Tier 1 academic background (IIT/BITS/IIIT/NIT) or proven ability with analytical and logical skills 2. Strong working knowledge of NLP, deep learning, machine learning, and statistics. 3. Strong math skills with statistical modeling/machine learning. 4. Experience in using Python, statistical/machine learning libs. 5. Ability to think creatively and solve problems. 6. Data presentation skills. About Medibuddy: We are MediBuddy - India’s Largest & most Trusted Digital Healthcare Platform for inpatient, outpatient, wellness & fitness needs, with a network of 90,000 doctors, 7,000 hospitals, 3000 diagnostic centres covering over 95% of all pin codes in India. We are leaders in the use of innovative technology to allow zero-friction access to healthcare to our members, which also promises an end-to-end cashless experience to users based on their needs and coverage. With diverse offerings for all stakeholders of the healthcare industry, MediBuddy makes discovering, accessing, utilizing and monitoring healthcare seamless, real-time and virtually paperless. The digital healthcare platform has a partner network of 90,000+ doctors, 7,100+ hospitals and clinics, 4,000+ diagnostic centers, 2,500+ pharmacies along with a team size of 2200+ members. It has created an integrated healthcare ecosystem that offers patients seamless access anytime and anywhere. It has created an integrated healthcare ecosystem that offers patients seamless access anytime and anywhere in 10 minutes. With its healthcare services available in 16 Indian languages to enable customer-friendly consultation, MediBuddy is bridging the Urban-Rural quality healthcare divide. MediBuddy offers online and offline doctor consultations, medicine delivery, lab tests at home, mental health consultations, surgery care, among other healthcare services.

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Principal Technologist, Dev - AI Core Services Development Location: Bangalore Employment Type: Regular, Full-Time Reports To: R&D Senior Manager We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. You will part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 12+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ Why Join AVEVA? At AVEVA, we are unlocking the power of industrial intelligence to create a more sustainable and efficient world. AVEVA Connect platform is at the heart of that transformation. As a leader in Core AI Services, you will help shape how AI is delivered at scale across industries. Join us in driving the next wave of industrial innovation. India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Experience: 5 to 10 years Location: Bengaluru, Gurgaon, Pune Job code: 101298 Posted on: Aug 04, 2025 About Us: AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you. Job Summary: We are seeking a highly skilled Data + AI Expert to lead the design, development, and deployment of data-driven and AI-powered solutions. This role demands a strategic thinker with deep expertise in data engineering, machine learning, cloud platforms, and artificial intelligence. The ideal candidate will work cross-functionally with business, data science, and engineering teams to translate business needs into scalable and intelligent systems that drive innovation and decision-making. Key Responsibilities: Design and deploy AI/ML models to solve business problems. Build and maintain scalable data pipelines and architectures. Implement solutions on cloud platforms (Azure, AWS, or GCP). Collaborate with stakeholders to define data and AI strategies. Monitor, evaluate, and optimize AI systems for performance. Role Requirements and Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in data engineering, AI/ML development, or related roles. Experience working in cross-functional teams and delivering AI projects end-to-end. Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Scikit-learn). Strong hands-on experience with cloud platforms (Azure, AWS, or GCP). Solid understanding of data architecture, modeling, and warehousing. Experience with MLOps tools and CI/CD pipelines (e.g., MLflow, Azure DevOps, Kubeflow). Familiarity with responsible AI, model explainability, and compliance frameworks. Why Join Us: Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors. Continuous investment in employee growth and professional development with a strong focus on up & re-skilling. Competitive compensation & benefits, ESOPs and international assignments. Supportive environment with healthy work-life balance and a focus on employee well-being. Open culture that values diverse perspectives, encourages transparent communication and rewards contributions. How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0725-0232 Employment Type: Full Time Position Description: Job Title: Data Analyst (Artificial Intelligence Solutions Analyst) Position: Senior software engineer/AIML engineer Experience: 3+ years Category: Software Development/ Engineering Shift: General Shift Main location: Bangalore Position ID: J0725-0232 Employment Type: Full Time Education Qualification: Any graduation or related field or higher with minimum 3 years of relevant experience. Position Description: We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecycles—from data ingestion to model deployment and monitoring. Your future duties and responsibilities: Lead the design and implementation of AI/ML solutions for clients Translate business problems into technical requirements and model-driven solutions Perform data preparation tasks, including cleansing, preprocessing, and handling missing or inconsistent data Work with AI frameworks like TensorFlow, PyTorch, and Scikit-learn Leverage cloud-based AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI Provide functional support and guidance during implementation and post-deployment phases Analyze and redesign business processes as required by AI implementations Mentor junior team members and support business stakeholders in AI adoption Engage directly with clients and senior stakeholders to drive solution outcomes Collaborate across global virtual teams and contribute to best practices in AI solution delivery Required qualifications to be successful in this role: Master’s degree in computer science, Data Science, AI/ML, or a related technical discipline Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer Certificate) Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines for ML models) Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning projects Understanding of data privacy, model interpretability, and responsible AI principles Experience working in cross-functional teams and global delivery models Prior experience in client-facing roles within consulting or IT services companies Strong business acumen and ability to communicate AI/ML concepts to non-technical stakeholders Must-Have Skills: 3+ years of hands-on experience in AI/ML development or consulting Proficiency in data preparation, including cleansing, feature engineering, and data validation Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) Excellent problem-solving and communication skills Ability to work in dynamic and globally distributed teams Good-to-Have Skills: Prior consulting experience with public or private sector clients Familiarity with DevOps and MLOps practices for model deployment and monitoring Exposure to business process mapping and improvement initiatives Experience leading or supporting client-facing workshops or strategy sessions Skills: Artificial Intelligence Data Analysis English What you can expect from us: 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.

About this role: Wells Fargo is seeking a Risk Analytics Consultant. In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 2+ years of experience as a Python Developer on strong projects Bachelor's or master's degree in computer science, Software Engineering, Data Science, or a related quantitative field. In-depth understanding of the Python software development stacks, ecosystems, frameworks, and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with popular Python frameworks such as Django, Flask or others. Good database skills including SQL. Excellent problem-solving ability with solid communication and collaboration skills. Self-starter, takes initiative, and has a strong desire to learn and grow. Proficiency in data science, machine learning, and NLP tools. Understanding of generative AI concepts. Financial industry experience, especially in risk management, is a plus. Strong communication skills. Experience in large, global financial services organizations preferred. Bachelor's or Master's in engineering or a relevant field. Job Expectations: Experienced in developing professional relationships with business leaders and colleagues in the financial sector. Leverage advanced analytics and AI to transform risk management reporting processes. Develop automated solutions to streamline report generation, improve data accuracy, and uncover deeper insights from complex market and counterparty risk data. Work collaboratively across risk management, credit, and technology departments to identify opportunities for automation, optimize data pipelines, and ensure that reporting aligns with evolving regulatory and business requirements. Design innovative dashboards and integrate AI-driven analytics into regular reporting cycles. Maintain robust data governance standards to ensure the integrity and security of risk data. Adopt machine learning and natural language processing to enable more timely, actionable, and insightful reporting that empowers stakeholders to make better-informed decisions. Translate business questions into data-driven solutions, deploy scalable AI models, and communicate findings to both technical and non-technical audiences. Design and implement machine learning models and algorithms to address business challenges within financial risk management. Participate in regular meetings and provide AI / ML related updates. Collaborate with technology teams to deliver AI and machine learning solutions, handling documentation, testing, and integration. Able to work under pressure while handling large volumes of information and multiple priorities. Posting End Date: 5 Aug 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. Job Description NIQ is seeking a highly skilled and experienced Senior ML Engineer to join our dynamic team. As a Senior ML Engineer at NIQ, you will play a crucial role in developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions. Location: Chennai or Pune Responsibilities: Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, sklearn and similar AI/GenAI libraries. Utilize ML fundamentals, including deep learning, optimization techniques, NLP, and Large Language Models (LLMs), to solve real-world problems. Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines. Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions. • Optimize and fine-tune AI/GenAI models for performance and efficiency. Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure. Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes. Stay updated with the latest advancements in AI/GenAI. Qualifications Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. • Proven experience 5 years working as a Senior ML Engineer or similar role. Strong proficiency in Python programming language. In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs. Experience with cloud computing platforms (knowledge of Azure is a plus). Familiarity with SQL for data manipulation and analysis. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. • Ability to thrive in a fast-paced, dynamic environment. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do: Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice to Have: Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Job description Job Role: ML Engineer Experience : 1+ years of experience Location: Chennai, Tamil Nadu About the Company: Kaizen being a reputed company is involved in the business of Kaizen Secure Voiz Private Limited is Six-year young company specializing in unified voice interactions management using latest technologies with Global presence for Supply, implementation, testing and commissioning of voice biometrics solution. KSV has good experience in design, development and implementation of such voice biometrics- based technologies and has enabled multi-channel applications such as mobile applications, voice bots, interactive voice response and call center-based services to target group. KSV has proposed options to customers, keeping the world trend on latest technologies. KSV has deployed similar solutions for various companies and understands domain very well. While KSV has proposed voice biometrics-based Interactions management platform is suitable for further scaling and improvements of customer experience using voice analytics solutions later. The introduction of such automation will not only save huge money for the company, but also exponentially increase the customer experience. Responsibilities: Develop and implement Voice Biometric algorithms and models. Evaluate and analyze the performance of Voice Biometric systems. Implement advanced security measures to protect biometric data and ensure compliance with privacy regulations. Optimize the performance of biometric systems to ensure fast and accurate identification and authentication. Fine-tune algorithms and parameters to improve system efficiency and reliability. Collaborate with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. Stay updated with the latest advancements in Voice Biometric technology and contribute to research activities. Impeccable analytical and problem-solving skills Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc Familiarity with data structures, data modelling, and software architecture Excellent time management and organizational skills Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years' experience as a machine learning engineer. Advanced proficiency with Python, Java, and C code writing. In-depth knowledge of Deep Learning and Machine Learning Algorithms. Strong knowledge of Kaldi, Speechbrain, Wespeaker, 3D-Speaker, Unispeech, Nemo etc. Proficiency in speaker verification, Speaker Identification, Speaker Diarization, Anti-spoofing. Strong programming and algorithm development skills. Ability to work independently and as part of a team. Basic knowledge in signal processing. Job Type: Full-time Job Types: Full-time, Permanent Pay: ₹370,000.00 - ₹450,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 18/08/2025

Job description We are seeking a talented and motivated AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions that address complex challenges. The ideal candidate will collaborate with cross-functional teams to innovate, optimize processes, and deliver intelligent solutions that align with business goals. Key Responsibilities: Model Development: Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems. Build and train deep learning models for tasks like image recognition, NLP, and time-series forecasting. Data Processing: Gather, preprocess, and analyze structured and unstructured data. Ensure data quality, integrity, and scalability for machine learning pipelines. Deployment and Optimization: Deploy ML models to production using frameworks like TensorFlow, PyTorch, or Scikit-learn. Monitor, optimize, and fine-tune model performance. AI Integration: Integrate AI/ML models into applications, APIs, or cloud-based platforms. Collaborate with software developers and data engineers to implement solutions. Research and Innovation: Stay updated on the latest AI/ML trends, tools, and technologies. Conduct experiments to prototype innovative solutions. Collaboration: Work with product teams to understand business requirements and translate them into AI/ML solutions. Present findings, insights, and recommendations to stakeholders. Qualifications: Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Mathematics, or a related field. Technical Skills: Proficiency in programming languages like Python, R, or Java. Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of cloud platforms (AWS, Azure, Google Cloud) for AI/ML deployment. Familiarity with big data technologies (e.g., Hadoop, Spark). Experience: 2+ years of experience in AI/ML development or a related role. Strong understanding of algorithms, statistics, and data structures. Job Type: Full-time Pay: ₹20,000.00 - ₹45,000.00 per month Benefits: Paid sick time Work Location: In person Expected Start Date: 08/08/2025

Job Title: Artificial Intelligence Engineer Company: Growwake Pvt Ltd Location: Trichy Employment Type: Full-Time Experience Level: Fresher / Mid-Level / Experienced Job Summary: Growwake Pvt Ltd is seeking a talented and motivated Artificial Intelligence Engineer to join our innovative team. The ideal candidate will work on cutting-edge AI solutions, including machine learning models, natural language processing, and computer vision projects to drive impactful business decisions and products. Responsibilities Work with large datasets to extract meaningful patterns and insights. Implement NLP, CV, and recommendation system models where applicable. Collaborate with cross-functional teams including software developers, data engineers, and product managers. Continuously improve AI models through research and feedback loops. Stay updated with the latest AI research, frameworks, and technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Strong understanding of Python and AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Solid knowledge of machine learning algorithms and deep learning architectures. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Hands-on experience with tools like Jupyter, Pandas, Numpy, and visualization libraries. Knowledge of cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and attention to detail Preferred Qualifications (for Experienced Roles): Experience with real-time ML systems or deployment pipelines. Published work or certifications in AI or ML. Ability to optimize models for performance and scalability. What We Offer: Competitive salary and performance-based incentives. A collaborative and innovative work environment. Continuous learning and professional development opportunities. Chance to work on industry-defining AI projects Job Type: Full-time Pay: ₹10,000.00 - ₹25,000.00 per month Benefits: Food provided Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 15/08/2025

Overview: We are looking for a passionate and detail-oriented Data Scientist with 1–2 years of hands-on experience in data science, machine learning, and deep learning. The ideal candidate will have practical exposure to real-world projects involving RAG systems, computer vision, and cloud deployment, and will be eager to contribute innovative solutions in a dynamic environment. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world business challenges. Work on projects involving RAG systems (Retrieval-Augmented Generation), computer vision, and large-scale data applications. Develop and maintain ML pipelines, ensuring scalability and performance. Deploy solutions on cloud platforms such as GCP, Azure, or AWS. Collaborate with cross-functional teams to understand requirements and deliver data-driven insights and solutions. Implement and monitor experiments, ensuring reproducibility with tools like MLflow and Langfuse. Build intuitive dashboards and prototypes using Streamlit or similar tools. Ensure smooth integration of ML models into applications using Flask, FastAPI, or Django. Required Skills: Programming Languages: Python, SQL Data Science Frameworks & Tools: TensorFlow, PyTorch, MLflow, LangChain, Langfuse, Flowise, Hugging Face Transformers, Streamlit Frameworks for Integration: Flask, FastAPI, Django Cloud Platforms: GCP, Azure, or AWS (any) Good to Have Skills: Experience with no-code tools for rapid prototyping. Familiarity with OpenAI SDK and Google Agent SDK. Who You Are A problem-solver with strong analytical and logical thinking skills. A fast learner who enjoys keeping up with the latest AI/ML advancements. A collaborative team player with excellent communication skills. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: International Finance Centre, VIP Road, Vesu, Surat, Gujarat Job Types: Full-time, Permanent Benefits: Health insurance Leave encashment Ability to commute/relocate: Vesu, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Preferred) Work Location: In person

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 06th August 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog We will only be looking at responses on the Google form. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

We are looking for a skilled and versatile Full Stack Developer with hands-on experience in Python (focused on AI/ML) , Node.js , and React.js . This role offers an exciting opportunity to work on innovative products that leverage machine learning and modern web technologies to deliver cutting-edge solutions. Key Responsibilities Design and develop scalable, high-performance web applications using Node.js and React.js Build and integrate machine learning models and pipelines using Python Collaborate with data scientists, frontend/backend engineers, and product managers Optimize application performance and maintain code quality through reviews and testing Work with RESTful APIs and/or GraphQL for efficient data exchange Participate in the entire software development lifecycle — from requirement gathering to deployment and monitoring Stay up to date with emerging technologies and suggest relevant improvements RequirementsTechnical Skills: Strong proficiency in Python , particularly for AI/ML applications Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Solid knowledge of Node.js for backend development (REST APIs, authentication, databases) Proficiency with React.js and modern JavaScript (ES6+), including Redux or similar state management libraries Familiarity with databases (SQL/NoSQL) such as PostgreSQL, MongoDB, or Firebase Experience with Git , CI/CD tools, and modern DevOps practices Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Description We are seeking a skilled and innovative AI Specialist to join our growing electric vehicle manufacturing team. You will play a key role in integrating artificial intelligence and machine learning technologies into various EV production, quality control, and performance optimization processes. Key Responsibilities Design and implement AI models for predictive maintenance, battery performance analysis, and production automation. Analyze data from EV components (battery, controller, motor) to improve system efficiency and safety. Work on intelligent automation tools for factory operations (robotics, vision systems, etc.). Use AI to forecast demand, optimize supply chain, and improve vehicle diagnostics. Collaborate with R&D, engineering, and production teams to identify opportunities for AI application. Evaluate and deploy computer vision models for defect detection in assembly lines. Continuously monitor and fine-tune AI models for performance improvements. Required Skills & Qualifications Bachelor’s/Master’s in AI, Machine Learning, Computer Science, Data Science, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, or OpenCV. Knowledge of embedded systems and IoT applications in automotive/EV industry is a plus. Experience working with industrial datasets and real-time sensor data. Familiarity with AI-powered automation and robotic systems. Strong problem-solving, analytical, and communication skills. Preferred Experience 2–5 years of experience in AI/ML roles, preferably in manufacturing, automotive, or EV sector. Hands-on experience with machine learning model deployment in a production environment. **Salary: As per candidate’s experience and knowledge Apply now by sending your resume to hr@anantev.com & 8585007706 Job Types: Full-time, Permanent Pay: ₹9,901.27 - ₹50,442.79 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Park Street, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Language: English (Required) Hindi (Required) Bengali (Required) Location: Park Street, Kolkata, West Bengal (Required) Work Location: In person