15488 Machine Learning Jobs - Page 3

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Utilizing monitoring tools to track application performance, identify potential issues, and proactively communicate about them.Writing reusable, testable, and efficient code. Understand requirements and deliver high-quality solutions.Identifying and resolving bugs through testing and debugging.Managing and prioritizing support tickets, ensuring timely resolution within established Service Level Agreements (SLAs).Creating and maintaining technical documentation, including knowledge base articles.Identifying opportunities to enhance automation in monitoring and support activitiesAssisting with the deployment and configuration of new applications or application updates. Qualifications Degree in computer scienceUnderstanding of machine learning concepts, algorithms, and frameworksProficiency in programming languages like Python, along with experience in scripting

Job Summary Techbyheart is looking for a passionate and experienced AI ML Trainer to deliver high-quality training sessions in Artificial Intelligence, Machine Learning, and Deep Learning. The trainer will be responsible for conducting both online and offline sessions, mentoring students, and ensuring an engaging learning experience. Key Responsibilities Design and deliver AI-related training sessions covering Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. Conduct both online and offline classes effectively, ensuring a high level of student engagement. Develop hands-on projects, real-world case studies, and interactive exercises for students. Mentor and guide learners in their AI career journey, helping them with projects, research, and industry applications. Continuously update course content to align with industry trends and advancements in AI. Conduct assessments, quizzes, and evaluations to measure student performance and progress. Collaborate with industry professionals and experts to enhance training quality. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Strong knowledge of Machine Learning, Deep Learning, NLP, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Hands-on experience with Python, data visualization tools, and AI model deployment. Experience in training, mentoring, or teaching AI-related subjects is preferred. Excellent communication and presentation skills. Ability to handle both online and offline training sessions effectively Job Type: Full-time Pay: ₹350,000.00 - ₹400,000.00 per year Benefits: Cell phone reimbursement Health insurance Paid sick time Work Location: In person

We’re looking for a talented UI/UX Designer to create user-friendly and visually appealing digital experiences. You’ll work with cross-functional teams to design interfaces that are both functional and delightful. Key Responsibilities: Create wireframes, prototypes, and UI designs for web and mobile apps Conduct user research and apply feedback to improve UX Collaborate with developers and product managers Maintain design systems and ensure brand consistency Tools & Skills: Design Tools: Figma, Adobe XD, Sketch, Photoshop, Illustrator Prototyping & Handoff: InVision, Zeplin, Marvel Other Tools: Canva Strong grasp of UX principles, responsive design & accessibility Bonus: Basic HTML/CSS, motion design (Lottie/AE), user testing tools (Hotjar) Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Health insurance Ability to commute/relocate: Indore Pardesipura, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: UI/UX: 1 year (Preferred) Work Location: In person

Job Title: Data Scientist Location: Bengaluru About Us Habuild is one of India’s fastest-growing wellness platforms, dedicated to helping people build healthier lives through the power of daily yoga, consistency, and community. With over 9 million lives impacted and 4.5 lakh+ people joining daily , our mission is simple yet ambitious: make wellness a lifelong habit for everyone . Founded by a passionate team from IITs and IIMs , Habuild is a product-first, experiment-driven company obsessed with creating real user impact. We've already broken multiple world records—and we're just getting started. We’re not just building a company—we’re building a movement. A movement fueled by purpose, discipline, and the belief that small, consistent actions lead to extraordinary transformation. Our work spans yoga, mindfulness, habit-building, and digital wellness, empowering people to unlock their best selves. Role Overview As a Data Scientist at Habuild, you will lead the design and deployment of data-driven systems that power personalized experiences and intelligent decision-making across our platform. This role demands a self-starter mindset with strong hands-on experience in data engineering , model development , and end-to-end deployment of scalable machine learning systems. We are looking for a generalist profile —someone who has explored multiple areas within Data Science, such as recommendation engines, LLMs (Large Language Models), and audio/video models, rather than being confined to one domain. You’ll work cross-functionally to translate real-world problems into scalable AI solutions that directly impact millions of users. Key Responsibilities Own and lead end-to-end Data Science projects—from data ingestion and preprocessing to modeling and deployment. Design and implement scalable pipelines for data processing, normalization, and feature engineering . Build, train, and deploy machine learning models in areas such as recommendation systems , natural language processing (LLMs) , and multimedia (audio/video) analysis . Collaborate with engineering, product, and business teams to identify impactful use cases and align model development with company goals. Monitor model performance and continuously optimize for accuracy, efficiency, and scalability. Document technical decisions, processes, and outcomes to ensure clarity and maintainability. Mentor junior team members and contribute to the growth of data science best practices within the organization. Requirements Experience: 3+ years of relevant experience in Data Science or Machine Learning, preferably in product-focused environments. End-to-End Project Ownership: Strong background in handling projects independently, including data engineering, modeling, and deployment. Technical Stack: Proficiency in Python, SQL, and experience with cloud platforms (AWS/GCP), model deployment frameworks (Docker, FastAPI), and ML libraries (scikit-learn, TensorFlow, PyTorch). Domain Breadth: Experience across multiple areas such as recommendation systems , LLMs , audio/video models , and time-series analysis . Data Engineering Skills: Hands-on experience building pipelines, working with large-scale datasets, and integrating data from diverse sources. Problem-Solving: Strong analytical thinking with a practical, product-focused mindset. Communication: Ability to present complex concepts clearly to both technical and non-technical stakeholders. Let’s build something extraordinary—together. Apply Now & Join Us in shaping a healthier, happier world—one habit at a time!

Role purpose As a Data Scientist at Prevalent, you'll help turn complex data into clear, actionable insights that solve real business problems and support smarter decisions. Using advanced analytics, machine learning, and statistical methods, you'll build predictive models and data-driven solutions that enhance our key products— Exposure Management and Data Fabric. You'll work with data from various sources, uncover patterns, and deliver insights that improve how organizations manage risk and large-scale data. This role is a great opportunity to apply your data science skills to innovative, AI-powered products and make a direct impact on product development and business success. Key accountabilities Understanding business requirements through collaboration with SMEs and translating them into data science solutions Performing data assembly, cleansing, validation, and visualization Applying statistical modelling, supervised and unsupervised machine learning, and mathematical programming Inspecting data for consistency and modifying designs as needed Communicating predictions and findings through visualizations and reports Creating prototypes for data manipulations, visualizations, and modelling Validating designs with SMEs and iterating based on feedback Ensuring software implementation matches design expectations through testing Keeping up with industry trends and following a personal education plan for technology and solution architecture Skills and Experience Relevant experience working in Data Science Experience in working with Big Data and common data science tools such as R, Python, Spark etc Self-motivated individual capable of working in a fast-paced environment Great verbal and written communication skills A strong analytical mind-set Good understanding and expertise in processing large datasets Good working knowledge in implementation of various ML algorithms in big data environment, advanced ML concepts like ANN, Deep learning etc Understanding of data visualization tools, such as D3.js, Tableau, etc • Familiarity with Scala, HIVE is desired • Good scripting and programming skills; SQL proficiency Understanding of and proficiency in NLP Understanding of a range of statistical and machine learning techniques and algorithms, such as logistic regression, KNN, decision trees, SVM, CNN, etc Good understanding of the process workflow: o Problem definition to hypothesis building o Prototype model building using python/R o Implementation of ML problems in big data. o Performance Monitoring & Evaluation of System Education Bachelor’s/ Master’s in Engineering, Science, or Mathematics

Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer’s business. You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines. The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding. The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We’re looking for a data scientist that is inherently curious, driven, willing to learn & develop, with an owning the problem and self-starter attitude. Qualifications Essential: Excellent communication skills, including written and oral English language skills Minimum 3+ years of experience in a Data Scientist role Graduate degree in Data Science, Statistics, or another quantitative field. Solid understanding of Spark Strong foundation in statistics Solid understanding of metrics and their usage. Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc) Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning & LLMs (Gen AI). Experience with working with either Azure/AWS Cloud Environments. Python conventions, writing clean code and testing functionality Ability to work to own initiative and without heavy oversight Must show evidence of your passion for technology and continuous learning Desirable: Familiarity with Huggingface Familiarity with Databricks Familiarity finetuning LLM. Experience working with Azure OpenAI, AWS Bedrock. Experience working with offshore team Consultancy experience If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we’d love to speak with you! Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Description Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, designs using large data sets to solve real world problems? Do you want to build a foundation for your career after your Bachelor's or Master's or Ph.D program at an industry-leading company? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts. you will bring statistical modeling and machine learning advancements for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. Location - Bangalore, We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND Basic Qualifications Currently enrolled in degree program (Bachelor's or MS/ Mtech ,MCA.) Engineering ,Computer Science, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields. working knowledge of programming languages such as Python (SciPy, RPy2, etc). Preferred Skill NLP, Python, React, Mongo Responsibilities include: Design, Develop, & Maintain ReactJS WebApp IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Critical Success Factors Excellent communication and collaboration abilities to work within a team environment. Eagerness to learn and adapt to new tools and technologies in a fast-paced environment. Ability to manage a busy workload and multiple tasks, balancing parrallel projects through effective organisation and time management skills to ensure desired outcomes are fully achieved on time. Complete activities to a high standard, demonstrating a consistently high level of attention to detail. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Website address - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

Subject Matter Expert (SME) Med AI About iMerit: iMerit ( https://imerit.net ) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a client’s journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human empowered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women. About L&D @ iMerit Subject Matter Expert The dual goals of establishing a digital data services business at the cutting edge of technology, and creating sustainable livelihoods for marginalized youth, have led iMerit to develop a highly innovative, in-house Learning and Development (L&D) program. iMerit’s L&D team includes trainers in AI data annotation, client communication and soft skills, eLearning professionals who develop interactive, digital content to support training, and technologists who develop advanced tools and platforms for training and assessment. These teams work in concert and in close collaboration with our business to personalize an employee’s development trajectory, and deliver a world-class client experience. The unique nature of our workforce and the high-tech, global nature of our business make L&D a critical business function at iMerit. Consequently, a L&D role at iMerit is challenging and rewarding with ample opportunities for learning and growth. Role L&D SME A Subject Matter Expert (SME) is an important part of the team. An SME has proficiency in his or her subject and guides other professionals on the project to ensure the content is accurate. Their role is essentially to ensure the facts and technical details of coding are correct. This position functions as a resource and subject matter expert on problem solving medical accounts receivable issues that would be considered of medium to high degree of complexity . Responsibilities of SME- Assist with training for Team , serving as the SME for accounts receivable questions from Team . Simplifying client documents and medical terms for the team . Assists with obtaining educational materials for the Team . Reviews medical data sets to determine complexity of the workflow and required assistance for the team . Performs assigned additional project related responsibilities . Utilize a variety of the training methodologies, techniques, concepts, learning tools, and practices . Monitor and report on the effectiveness of education/training programs. Create and develop training processes for teams not able to meet or maintain standards of excellence. Estimated Division of Duties: 1. To develop and teach relevant anatomy and physiology and medical terminology coursework. (40% of job duties) 2. To participate in developing and updating project guidelines, training methods, and evaluation materials including e-training modules. (25% of job duties) 3. To address project questions through self-directed research and medical subject matter expertise. (25% of job duties). 4. To participate in company meetings to discuss outcomes, strategies, and best practices. (10% of job duties). Skills Required: Ability to work under pressure and flexibility to work under various shift like morning , afternoon , Night shift . Good Communication Skills, Neutral Accent, Good Domain Knowledge, Aptitude Skills, Team Player, Analytic Problem Solving, typing skills. Good knowledge of Microsoft Office and computer literacy Excellent organizational skills and the ability to plan and prioritize workload Excellent grooming standards Experience & Education- Anyone holding an MBBS, MD degree. Minimum 1 year of clinical practice post qualification (MD) Strong anatomy and physiology knowledge. Familiar with medical terminologies and a good understanding of patient case sheets. Pharmaceutical knowledge is an added advantage. Familiar with all types of surgical instruments. Computer Literacy. Strong English Language Skills. Passion for impacting lives and a great work ethic. Job Type: Full-time Pay: ₹60,000.00 - ₹80,000.00 per month Benefits: Commuter assistance Life insurance Paid sick time Paid time off Provident Fund Ability to commute/relocate: Salt Lake, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Experience: Post MBBS: 7 years (Required) Work Location: In person

We Are Hiring Interns Location: Chennai (Work from Office only) Internship Duration: 3 Months Stipend: ₹5,000 per month We are looking for dedicated Interns with the following skills: Must have their own laptop Strong internet research skills Proficient in Microsoft Word and PowerPoint Good understanding of Tamil (spoken and written) Ability to follow instructions and complete tasks responsibly Work from home is not allowed. This is a full-time, in-office internship. This is a great opportunity to gain real-time work experience and build your professional skillset. Apply now to begin your journey. Job Types: Fresher, Internship Contract length: 6 months Pay: ₹5,000.00 - ₹8,000.00 per month Benefits: Health insurance Application Question(s): Do you have your own laptop? We offer a stipend of ₹5,000 per month for the first 3 months of the internship. Is that acceptable to you? Work Location: In person

Develop and validate cutting-edge AI/ML algorithms for de novo molecular generation, property prediction, and compound optimization. Design and implement scalable computational tools, workflows, and models to be deployed across the modeling and cheminformatics teams. Collaborate closely with internal teams of cheminformaticians, medicinal chemists, and computational scientists, as well as with selected external partners. Contribute to scientific publications, open-source efforts, and conference presentations to enhance the scientific visibility of the organization. Job Type: Full-time Pay: ₹35,000.00 - ₹55,000.00 per month Application Question(s): Are you Comfortable for Bhosari, Pune location? What is your current CTC? Experience: Computational Sciences / AI & Drug Design: 3 years (Required) Work Location: In person

Assistant Professor - Computer Science Fresher / 1+ Years of teaching / industry Qualification B.E / M.E. / MCA / M. Sc / M. Tech in Computer Science Expertise in the following subjects - Cloud Security / IoT / Deep Learning / Block chain / Cyber Security / Artificial Intelligence and Machine Learning As a Technical Trainer will play a key role in educating and empowering our employees by delivering high-quality technical training programs. The ideal candidate will have a strong background in technical education and a passion for teaching and mentoring. Job Location : Eachanari, Coimbatore, Tamilnadu Pay Scale : As per Norms Job Types: Full-time, Permanent Pay: ₹22,946.28 - ₹82,424.95 per month Benefits: Food provided Health insurance Paid sick time Paid time off Provident Fund Work Location: In person Application Deadline: 20/08/2025

Job description Job Location :- Lucknow Job Experience :- 1-4 years Role Description This is a full-time on-site role for an AI/ML Developer located in Lucknow. The AI/ML Developer will be responsible for designing, developing, and implementing machine learning models and algorithms. They will collaborate with cross-functional teams to integrate AI solutions into existing systems, perform data analysis, and ensure model performance and accuracy. Additionally, the role involves staying updated with the latest advancements in AI/ML technologies and methodologies to continually improve the solutions provided. Qualifications Strong programming skills in languages such as Python, R, and Java Proficiency in machine learning frameworks and libraries like TensorFlow, Keras, and PyTorch Experience with data preprocessing, feature engineering, and data visualization tools Knowledge of AI/ML algorithms, including supervised, unsupervised, and reinforcement learning Strong analytical and problem-solving skills with attention to detail Ability to work collaboratively in a team environment Excellent written and verbal communication skills Bachelor's or Master's degree in Computer Science, Data Science, or a related field Experience in deploying machine learning models in production environments is a plus Understanding of cloud platforms such as AWS, Azure, or Google Cloud is beneficial Job Type: Full-time Pay: ₹20,000.00 - ₹60,000.00 per month Work Location: In person

Meet the Team The Office of Analytics is a team of BI engineers and data scientists. We partner with our stakeholders across all of Cisco's businesses to break down data silos and bring together data from across the company. We identify, craft, transform and combine this data into a modern data warehouse. By analyzing and interpreting these complex datasets, we build actionable and insightful reports that enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact You will provide data solutions that provide business visibility and drive decision making in areas such as sales, marketing, product management and engineering, customer success and more. Our solutions support individual contributors up through executive leadership. An ideal candidate has strong software background, thrives in an entrepreneurial atmosphere, communicates efficiently, and can effectively architect, design and develop enterprise-level data science, reporting, and analytics solutions. Responsibilities Partner with business stakeholders and cross-functional teams on data, reporting, metrics and analytics initiatives. Effectively identify opportunities to leverage statistics, experimentation, and other analysis techniques, as appropriate, to solve business problems. Analyze and define information needs and reporting/analytical requirements across the organization. Translate functional requirements and into data science problems. Apply ML/AI techniques and generative AI models to enhance data analysis and predictive capabilities. Build models, reports, visualizations, and other data solutions that drive more effective business decisions. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. 4+ years of experience as a Data Scientist or similar role. Strong SQL skills and programming experience (Python preferred) for data analysis and machine learning at scale, including libraries such as NumPy, SciPy, Pandas and Scikit-learn. Experience with data visualization tools or frameworks such Tableau, Power BI, or similar tools. 3+ years of hands on experience applying statistical and machine learning models to solve complex business problems Preferred Qualifications Familiarity with data prep and transformation Familiarity with deployment and productionalizing ML/AI solutions Strong product sense to produce product usage analyses based on product telemetry datasets Familiarity with modern data warehousing technologies Excellent written and verbal communication skills, strong analytical and problem-solving skills. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

Data Scientist Location: Gurugram, Haryana Need Immediate Joiners JD 1 – Data Scientist Statistical Knowledge, Good communication skills Coding Skills in Python, SQL Knowledge on GenAi PowerBI Tableu, Good Comminication Hands on testing, coding. API Key responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solute Communicate findings and insights effectively to both technical and non-technical stakeholders. Skills: Minimum of 3 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language process Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail JD 2- Data Scientist Skills: Minimum of 6-9 years experience with advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience in working with large datasets and relational databases is highly desirable (SQL). Knowledge of additional programming languages is a plus (Python, C++, Java). Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions. Proven leaders with the ability in inspire others, build strong relationships, and create a true followership, result-driven achievers. Strong people skills, team-orientation, and a professional attitude. Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Notice Period : Immediate or max, 2 weeks Location: Gurgaon, Hybrid mode Job Type: Permanent Pay: ₹2,800,000.00 per year Experience: Data Scientist: 3 years (Required) Coding Skills in Python, SQL: 3 years (Required) PowerBI Tableu,: 3 years (Required) Hands on testing, coding. API : 3 years (Required) Work Location: In person

URGENT HIRING IT Recruiter / Technical recruiter / Talent Acquisition Position : IT RECRUITER DOMESTIC Location : Noida sector 63 Interview Mode : F2F Working day : 5 DAYS Timing : 9 am - 6 pm Immediate joiner required only Currently looking for an IT Recruiter skilled in managing client requirements and recruitment procedures. If you have 1 to 3 years of experience in recruitment processes & knowledge how to upload cv on workday portal hiring skill like : SAP , Oracle , ServiceNow , Salesforce , Machine learning , Cybersecurity etc . Note : US /UK Staffing do not apply Please submit your profile to [email protected] or call 928935046 Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Work Location: In person

Role: Data Scientist - Demand & Pricing Analytics Experience: 3-6 years Location: Bangalore (work from office) About the Role: We are seeking a data-driven and analytical Data Scientist to join our team The ideal candidate will play a critical role in shaping data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling across product lines and sales channels. Key Responsibilities: Demand Forecasting: Develop and maintain advanced time-series or ML models to predict demand at SKU, category, and regional levels using historical sales, seasonality, promotions, and market trends. Price Optimization: Build dynamic pricing models to identify optimal price points, incorporating competitor analysis, elasticity, and inventory positions to maximize revenue and margins. Demand Elasticity Modeling: Analyze how price changes affect consumer demand across segments using statistical techniques and machine learning. Collaborate with product, merchandising, finance, and marketing teams to integrate insights into business decisions. Automate data pipelines and build dashboards for stakeholders to visualize forecasts and pricing scenarios. Conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. Required Skills & Experience: Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Applied Mathematics, or related fields. 3+ years of experience in retail analytics, pricing science, or demand forecasting. Proficient in Python/R, SQL, and relevant libraries (e.g., Scikit-learn, Statsmodels, Prophet, XGBoost). Cloud platform - Azure. Strong understanding of econometrics, elasticity models, and optimization techniques. Excellent communication skills with the ability to present complex insights to non-technical stakeholders. Preferred Qualifications: Experience in fashion, footwear, or consumer goods industry. Familiarity with supply chain and inventory dynamics in retail. Knowledge of reinforcement learning or revenue management frameworks.

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. What we do Front-office Strategists (“Strats”) are responsible for building quantitative and technological edge to drive business evolution within the firm’s Global Banking & Markets division. Some sit on individual trading desks, where they develop models to price derivatives, evaluate risks and hedges, and understand market behavior. Others work across desks, building large-scale quoting and risk platforms or optimize division-wide capital deployment, or across venues, pushing the frontiers of low-latency and algorithmic trading on exchanges and electronic channels. All play an integral role on the trading floor at the intersection of quant finance and commercial decision-making. Responsibilities As an IRP Strat, your responsibilities may include, but are not limited to: Pricing and risk management of non-linear rates, from vanilla options to callable exotics: building, maintaining and enhancing pricing models, quantitative risk management and quoting methodologies, and tools used by the trading desk for complex risk analyses. Pricing and risk management of one-delta rates, from SOFR swaps to Treasury ETFs: synthesizing swap curves and NAV bases from market data, identifying relative-value opportunities across markets, and building out our systematic market-making strategy. Partnering with engineering teams to build and deploy scalable high-performance trading platforms which utilize cutting-edge proprietary and emerging technologies including cloud-based and AI architectures. Basic Qualifications Undergraduate or advanced degree in computer science, engineering, math, physics or similar Strong programming experience, preferably in a high-performing language such as C/C++/Java or Python (with NumPy, Pandas, etc.) Demonstrated interest in financial markets and quantitative finance, e.g. stochastic calculus or statistical arbitrage/signals Strong communication and interpersonal skills Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

As a Senior Data Scientist specializing in Generative AI, you will be responsible for leading technical development and mentoring teams. You must have a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. preferred. Additionally, you should have 8-12 years of experience in a Data Scientist or equivalent role, including at least 4 years of specialized experience in Generative AI. Your primary tasks will include working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. It is crucial to stay up-to-date with the rapidly evolving GenAI landscape and continuously learn and explore new tools and techniques. To excel in this role, you must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation, including deploying, monitoring, and maintaining models in a live environment. Expert-level Python skills are mandatory, along with proficiency in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, Scikit-learn, XGBoost, and LightGBM. Preferred qualifications include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributing to research and publications in Generative AI. You should also have expertise in prompt engineering, fine-tuning LLMs, optimizing performance, and designing scalable API architectures for GenAI applications. The role of Senior Data Scientist at our organization requires a highly motivated individual with a strong passion for Generative AI and a proven ability to drive technical innovation and deliver impactful results within a team setting. This job description provides a high-level overview of the role, and other job-related duties may be assigned as required.,

As a passionate and skilled Python, AI/ML Engineer with 3-5 years of experience, you will have the opportunity to work on cutting-edge projects at Zinnia, the leading technology platform for accelerating life and annuities growth. You will be involved in designing, developing, and deploying machine learning models and Generative AI solutions. Your role will include working on end-to-end ML pipelines, collaborating with cross-functional teams, building Python-based APIs for ML services, optimizing database interactions, and staying updated with the latest trends in AI/ML. To succeed in this role, you should have strong hands-on experience in Python, practical knowledge of supervised, unsupervised, and deep learning techniques, and experience working with LLMs or similar Generative AI technologies. Additionally, you should be familiar with RESTful APIs, SQL and NoSQL databases, and have exposure to cloud platforms like AWS, Azure, or Google Cloud Platform. Experience with TypeScript/JavaScript, MLOps tools, containerization, and orchestration would be a plus. If you thrive in a fast-paced environment, love solving complex problems using data and intelligent algorithms, and are looking to contribute to building intelligent solutions that deliver real business value, Zinnia is the place for you. Join us in our mission to simplify the experience of buying, selling, and administering insurance products and help more people protect their financial futures.,

You have over 10 years of experience with a continuous focus on data science throughout your career. You have successfully deployed at least two production-grade Generative AI solutions and have hands-on exposure to Agentic AI frameworks. Your expertise in Robotics includes Multiagent Systems, Automated Planning & Scheduling, Intelligence, and Orchestration. You are proficient in AI & ML, covering Supervised and Unsupervised Learning, Neural Networks, Large Language Models (LLMs), as well as Full-stack Software Engineering and System Design. You have a proven ability to apply emerging technologies to address complex business challenges. Your technical proficiency includes Python, FastAPI, Ollama, RDBMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), AI/ML Python frameworks (scikit-learn, PyTorch, etc.), AWS, Azure, and Git. You are a recognized expert in machine learning, Generative AI, LLMs, SLMS, and Agents, with a strong emphasis on computer vision, deep learning, and statistical modeling. You have led innovative projects in video analytics, face recognition, and retail analytics utilizing tools such as OpenCV and Point Cloud Libraries. You have in-depth knowledge of robot kinematics, navigation, planning, multi-agent orchestration, neural networks, software engineering, architecture, OOP, and the Git ecosystem. You are experienced in techno-functional product and project management, contributing to key research and business decisions. You are skilled at interpreting research publications and staying updated with the latest technological advancements. You have a strong background in Computer Vision, AI, ML/DL, Generative AI, Large Language Models, and Agentic AI. You possess experience from product-based companies and an academic background from IIT. Mandatory Skills: Machine Learning. Experience: 8-10 Years. If you are inspired by reinvention and want to be part of building a modern Wipro, an end-to-end digital transformation partner with bold ambitions, then this is the place for you. We are looking for individuals who are constantly evolving, both in their careers and skills. At Wipro, we embrace change and empower our employees to design their own reinvention. Join us at Wipro and realize your ambitions. Applications from people with disabilities are explicitly welcome.,

As a Technical Solutions Consultant at Google, you will play a crucial role in managing the technical relationship with the largest advertising clients and product partners. Your responsibilities will involve leading cross-functional teams across Engineering, Sales, and Product Management to harness emerging technologies for external clients and partners. From conceptual design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and product partnerships. Your ability to balance business and partner needs with technical limitations will be key, and you will be expected to develop innovative solutions while acting as a consultant to your colleagues. You will have the opportunity to create tools, automate products, oversee technical operations of partnerships, develop product strategies, and prioritize projects and resources effectively. Google's mission is to create products and services that positively impact the world, and the gTech team plays a crucial role in bringing these solutions to life. As a trusted advisor, you will support customers globally, leveraging technical expertise, product knowledge, and a deep understanding of customer needs to deliver bespoke solutions and scalable tools across Google's offerings. Your main responsibilities will include partnering with cross-functional teams to prioritize requirements and design Data Engineering solutions that drive analysis, insights, and support for the Ads business. Leading a team of Product Technology Managers and Data Engineers, you will synthesize stakeholder requirements, design data libraries, and develop solutions based on data warehouses, analytics, and visualizations. Additionally, you will work with leaders to address strategic and tactical challenges within the Ads business by offering data-driven solutions and scaling engineering capabilities through service providers. You will also be tasked with designing and launching data architecture, warehouses, reporting, and visualizations to enhance strategic and operational decision-making. Maintaining cross-functional organizational standards to ensure clarity and consistency across metrics and dimensions will be essential as the Ads business continues to grow. Managing support and product taxonomy will also fall under your purview.,

The Database engineering team at Salesforce is seeking an AI Research Engineer to join our expanding operations in India. In this role, you will apply machine learning techniques to optimize the efficiency of our database systems and enhance operational efficiency. We are looking for a candidate with a strong interest in integrating artificial intelligence with database technology to develop innovative solutions in various database areas such as Root Cause Analysis, Log summarization, Query optimization, Execution plan prediction, and Semantic understanding of user queries. As an AI Research Engineer at Salesforce, you will work on integrating LLMs and ML models with our database engine to improve operational efficiency and enhance the adaptiveness, self-healing, and intelligence of the database system. Your responsibilities will include driving the roadmap, designing and delivering medium complex features independently, serving as a subject matter expert in your area of work, collaborating with other database architects to develop productizable solutions, ensuring quality and security standards are met, contributing to analysis, design, test, and code reviews, setting and enhancing engineering best practices and processes, designing and coding high-quality features, and resolving customer issues with urgency. To be successful in this role, you should have experience with open-source DBMS (PostgreSQL, MySQL) or commercial engines, familiarity with reinforcement learning, LLMs, building knowledge graphs, and autoML, exposure to observability platforms like Splunk, a background in systems research with published work in relevant venues, a track record of delivering innovative features for software systems, excellent communication and problem-solving skills, experience working in an Agile development environment, and the ability to collaborate effectively with a team of developers in a fast-paced, high-demand setting.,

Job Description: We are seeking an experienced AI Technical Project Manager with a minimum of 10 years of expertise in implementing AI/ML-driven solutions. The perfect candidate for this role is someone who initially began their career as a Machine Learning Engineer and has progressed into a leadership position, overseeing the complete execution of AI projects in various fields. A comprehensive understanding of AI/ML concepts, combined with practical experience in program/project management within Agile settings, is essential for this role. It is imperative for the incumbent to possess a robust knowledge and practical exposure to AI/ML, MLOPS to excel in this position.,

AI/ML Trainer at Growwake Pvt Ltd: *Job Title:* AI/ML Trainer *Company:* Growwake Pvt Ltd *Experience:* Fresher to Experienced (0-5 years) *Job Type:* Full-time *Job Description:* We're seeking a skilled AI/ML Trainer to join our team and train our students in the latest AI and ML technologies. As an AI/ML Trainer, you will design and deliver training programs, develop course content, and mentor students in AI and ML concepts. *Responsibilities:* - Design and deliver training programs in AI and ML for students - Develop and update course content to reflect industry trends and advancements - Mentor students in AI and ML concepts, providing guidance and support - Conduct hands-on training sessions, workshops, and projects - Assess student progress and provide feedback for improvement *Requirements:* - Strong background in AI and ML, with experience in machine learning algorithms, deep learning, and NLP - Proficiency in programming languages, such as Python, R, or Julia - Experience with AI and ML frameworks, such as TensorFlow, PyTorch, or Keras - Excellent communication and teaching skills - Ability to work with students of varying skill levels and backgrounds *What We Offer:* - Competitive salary and benefits package - Opportunity to work with a dynamic team and make a positive impact on students' careers - Professional growth and development opportunities - Collaborative and supportive work environment *How to Apply:* If you're passionate about AI and ML and enjoy teaching and mentoring, apply now with your resume and relevant experience Job Type: Full-time Pay: ₹10,000.00 - ₹25,000.00 per month Work Location: In person