75 Torch Jobs

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Generative AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Job Summary: As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets.A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team here @ Rapido. Job Responsibilities: ● Translating business requirements into analytical solutions ● Do hands-on data analysis, using statistical techniques ● Pre-processing of structured and unstructured data ● Should be able to steer direction related to improving data collection for analytical systems ● Should be proficient in model development, validation and then roll-out ● Understand business challenges and goals to formulate the approach for data analysis and model creation ● Tune the model(s) to improve results provided over time ● Create an analytics roadmap for the project ● Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output ● Work in highly collaborative teams that strive to build quality systems and provide business value ● Articulate insights and story telling for the senior management ● Mentor Junior Data team members in their learning and development Job Requirements: ● Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years ● Masters or Ph.D. in Statistics, Math, CS, Econ, Physics, Engineering or related scientific disciplines; ● Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources ● Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. ● Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts) ● Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques ● Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors ● Experience in SQL is must ● Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, Caffe, Theano, etc; ● Experience of Pyspark is a plus ● Experience with A/B Testing framework ● Experience in managing a small team of data scientists is a plus What’s there for you? ● If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be. ● You can go swimming in our 100s of TBs of data on self-managed databases ● Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more. ● We have a very flat hierarchy and collaboration is our success mantra ● Chance to work with a lean team of highly talented and motivated people across all levels ● You will be working with cross functional teams and have a great learning curve and business exposure. Show more Show less

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Google Gen AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

Fark is launching a new department, and it’s not for the faint-hearted. We’re looking for closers. People who don’t just talk deals, but seal them. Ruthlessly. We’re building the best closers this city has ever seen. Think you’ve got the vibe of a mini Harvey Specter? Suit up. Your mission: • 🔍 Spot potential clients before they even know they need us • 🎤 Pitch with conviction — make it impossible to say no • 💰 Lock the value, negotiate like a pro, and close • 🔥 Pass the torch to our Social team to take the brand from unknown to undeniable We’re hiring 3 profiles: 1. Senior Closer – Must carry experience in BD & pitching - Salary: 25k 2. Junior Closer – Hungry to be part of killer pitch decks & high-stake calls - Salary: 15-20k 3. Fresher – Your only experience is watching Suits 3 times? That’ll do (if you’ve got the fire) - Salary: 10-15k Bonus? You asked! You get a one time bonus worth 10% of every retainer you close as a team! Show more Show less

Job Title: Robotic Welding Programmer Department: Welding / Automation Reports To: Welding Engineer / Production Manager Location: Shirwal Employment Type: Full-Time Job Summary: We are seeking a skilled and detail-oriented Robotic Welding Programmer to develop, implement, and optimize robotic welding programs for our sheet metal components. The ideal candidate will have hands-on experience with industrial welding robots, a strong understanding of welding processes (MIG/TIG), and the ability to interpret 2D and 3D drawings to produce high-quality welds efficiently and consistently. Key Responsibilities:Programming & Setup: Develop and optimize robotic welding programs using teach pendant or offline programming software (e.g., FANUC, ABB, KUKA, Yaskawa, Panasonic, etc.). Set up welding fixtures, jigs, and tooling for robotic welding cells. Create weld paths based on CAD models, drawings, and process requirements. Fine-tune weld parameters including speed, voltage, current, and torch angles. Process Optimization: Continuously improve robot welding programs to reduce cycle time, increase weld quality, and enhance productivity. Analyze weld failures and make programming or process corrections as needed. Coordinate with design and manufacturing teams to improve part/weld joint designs for automation. Quality & Inspection: Ensure welds meet quality standards and specifications (e.g., AWS D1.1, ISO 3834, etc.). Perform visual and dimensional inspection of welds and correct deviations. Support first-piece approvals and quality documentation. Maintenance & Troubleshooting: Perform basic maintenance and troubleshooting on welding robots, torches, wire feeders, and peripheral equipment. Support preventive maintenance schedules and minimize robot downtime. Collaboration & Documentation: Maintain up-to-date records of welding programs, tool setups, and change history. Work closely with welding engineers, quality, and production staff to ensure seamless workflow. Qualifications: Diploma / Degree in Mechanical / Mechatronics / Welding Engineering or related field. 2–5 years of experience in robotic welding programming, preferably in a sheet metal fabrication environment. Proficiency with one or more robotic platforms (FANUC, Yaskawa Motoman, ABB, Panasonic, etc.). Strong understanding of welding processes (MIG/TIG), joint design, and weld symbols. Experience with offline programming software is a plus (e.g., RoboDK, Delmia, RobotStudio). Key Competencies: Precision and attention to detail Strong analytical and troubleshooting skills Familiarity with welding quality standards and inspection techniques Good communication and teamwork skills Proactive mindset toward continuous improvement and automation Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Cell phone reimbursement Health insurance Paid sick time Provident Fund Schedule: Day shift Weekend availability Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

🌟 We’re Looking for Co-Founders for GP Roots & GP ProEdge (2 Positions available) Location: Remote/Hybrid Commitment: Vision-Aligned & Long-Term Revenue Share: 31% of Brand Profits Parent Brand: GuruPrep Academy About GuruPrep Academy At GuruPrep Academy, we are more than an education startup—we are a movement. We’ve laid the foundation with our competitive exam segment, and now we’re scaling with two dynamic verticals: 🔸 GP Roots – Foundation-level excellence for Classes 6–10. 🔸 GP ProEdge – Skill-driven, career-oriented learning: Data Science, AI, Stock Markets, Office Mastery & more. We are now inviting Co-Founders—visionary partners who want to own, build, and lead from the front—not just execute. 👑 Not Employees. Owners. Visionaries. Doers. This is not a “job” — this is a founding seat at the table. We're seeking those with a winner’s mindset, unafraid to dream big, start small, and scale fast. 💼 What You’ll Drive As a Co-Founder of either GP Roots or GP ProEdge, you will: ✅ Co-create the strategic direction, vision, and identity of your brand. ✅ Oversee curriculum design, mentor onboarding, and content innovation. ✅ Lead admissions strategy, partnerships, and marketing presence. ✅ Build and mentor a lean team – Social Media Strategists, Academic Coordinators, and Admission Counselors (freelance model). ✅ Drive sales and operational workflows with agility and autonomy. ✅ Represent the brand publicly – in webinars, partnerships, and impact showcases. 🎯 Perks of Foundership 💸 31% Revenue Share from your brand – Enjoy true equity in what you build. 🎓 Freedom to Innovate – Create your own playbook, curriculum, and strategy. You are here to build, you will build. 🌏 Remote & Hybrid Flexibility – Build your legacy from anywhere. 🌱 Impact-Led Recognition – Be the change students remember. 🤝 Founder's Circle – Make key decisions, shape legacy, build culture. You can together build new brand under the umbrella of GuruPrep Academy. 💙 Our Core Values 1. Inclusivity – We democratize education across regions and realities. 2. Excellence – We don’t compete. We raise the bar. 3. Empowerment – Every learner, every voice, matters. 4. Integrity – We teach what we practice and practice what we teach. 🌟 Our Vision To build India's most inclusive, scalable, and student-first learning ecosystem—where a child from Tripura or Tamil Nadu stands shoulder to shoulder with the finest in the nation and beyond. 🚀 Who Should Step In? Educators, EdTech professionals, and subject matter experts. Growth leaders, content innovators, and passionate mentors. Builders who want ownership, not just a designation. You could be anyone, tell me your vision. We will do it together. Graduation in any stream. You should be aware of the brand that you are going to run. Experience will be an added advantage but not mandatory. I need people with dreams, People who can build from zero. 📬 How to Express Interest DM me or email: guruprepacademy@gmail.com Subject line: “Co-Founder Application – [GP Roots / GP ProEdge]” You bring the fire. We'll hand you the torch. Let’s not work for something great. Let’s build it—together. Show more Show less

Requisition Number: 100603 AI/ML Technical Lead Location- Delhi NCR, Bangalore, Pune, Hyderabad Shifts- 2:00 PM IST – 11:00 PM IST Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions About The Role As a AI ML Technical Lead with Insight , we are seeking a highly skilled AI/ML led engineer to join our team and contribute to lead, design, development, and deployment of artificial intelligence solutions. As a Team Lead, you will be responsible for overseeing the end-to-end lifecycle of AI/ML projects, mentoring engineers, and collaborating with cross-functional teams to drive innovation and business impact. The ideal candidate will have a strong background in machine learning, deep learning, NLP and computer vision and data science, with the ability to build and integrate AI models that solve complex business problems. About The Team Join us at the Data & AI Division, where we're not just another tech Division—we're the driving force behind empowering businesses to unlock the full potential of their data. Our mission is crystal clear: to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries. What We Do Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively. Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI. AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets. Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth. Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement. Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success. Join our team and be part of a transformative journey where your contributions will shape the future of AI integration, driving real-world impact and propelling businesses toward success. Key Responsibilities Lead and mentor a team of AI/ML engineers, ensuring best practices in model development and deployment. Design, develop, and implement scalable machine learning models and AI-driven solutions. Collaborate with data scientists, software engineers, and product managers to integrate AI models into applications. Optimize and fine-tune machine learning models for performance, accuracy, and efficiency. Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into the team’s workflow. Conduct code reviews, provide technical guidance, and improve development processes. Manage project timelines, deliverables, and ensure alignment with business objectives. Work with cloud-based and on-premises AI/ML platforms to deploy and monitor models in production. Ensure compliance with ethical AI principles, data privacy regulations, and best security practices. Collaborate with DevOps teams to ensure seamless integration of AI models into existing systems and workflows. Document AI processes, model architectures, and development practices to ensure knowledge sharing and scalability. Provide technical leadership and mentorship to junior AI engineers and data scientists. Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a AI ML Lead, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Required Skills And Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 8 to 12 years of experience in AI, machine learning, or data science roles, with a strong portfolio of successfully deployed AI solutions along with at least 2 years in leading the AI/ML team. Strong proficiency in Python, TensorFlow, Py-Torch, Py-Spark and other ML frameworks. Strong understanding of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, GANs), NLP, Computer Vision, Generative AI and AI model development. Knowledge on MLOps practices and tools for model deployment, monitoring, and scaling. Experience with data preprocessing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, Google Cloud, Azure). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI or Tableau) and experience in interpreting and communicating model results. Strong problem-solving skills, with the ability to translate business requirements into AI solutions. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with version control systems (e.g., Git) and Agile development practices. Other Skills Experience with reinforcement learning, and Agentic AI will add advantage. Knowledge of ethical AI practices and considerations in AI model development. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for AI model deployment. What You Can Expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambitious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's talent leads to tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Datascientist with GenAI-2 Requisition ID: 45466 City: Bengaluru Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

A Foundry Gas Cutter uses a gas-burning torch to cut metal Runner & Riser Area, often in a foundry setting. They work with various metal types and thicknesses, welding, or other processes. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Rotational shift Work Location: In person

Job Description: Senior Data Scientist – Cognitive Services and AI/ML Experience Level: 6-12 years Competency: Cognitive Services Chennai-WFO‎ Primary Skill: Artificial Intelligence & Machine Learning (AI/ML) Algorithms Secondary Skill: Natural Language Processing (NLP) Computer Vision Cloud-based AI Services (AWS SageMaker, Azure Cognitive Services, Google AI Platform) Job Description (JD): The Data Scientist specializing in Cognitive Services will develop and deploy AI/ML solutions that leverage advanced algorithms to solve complex business problems. The role focuses on integrating machine learning models into applications powered by cognitive capabilities such as image recognition, speech-to-text, and sentiment analysis. . . ‎ Roles and Responsibilities: AI/ML Model Development : Design and implement machine learning models tailored for cognitive services. Algorithm Design: Leverage algorithms for regression, classification, clustering, NLP, and computer vision tasks. Data Integration: Collaborate with data engineers to ensure high-quality and well-structured data pipelines. Cloud Services: Utilize AI/ML tools on platforms like AWS, Azure, or Google for training, deployment, and scalability. Model Deployment: Work with MLOps frameworks to deploy and monitor models in production environments. Cross-functional Collaboration: Partner with software developers and business analysts to integrate cognitive services into customer-facing applications. Performance Optimization: Optimize models and algorithms for speed and scalability. Research & Innovation: Stay abreast of emerging AI/ML technologies and incorporate them into cognitive solutions. Qualifications: Master’s or PhD in Data Science, Machine Learning, or a related field. 8+ years of hands-on experience in AI/ML with a focus on cognitive services. Proficiency in frameworks such as TensorFlow, Py Torch, and Scikit-learn. Expertise in Python, R, and SQL. Experience with cloud-based AI tools and services like AWS Sage Maker or Azure Cognitive Services. Strong understanding of ML Ops practices. Preferred Skills: Familiarity with neural networks for advanced deep learning tasks. Knowledge of speech recognition, image processing, and sentiment analysis technologies. Experience with big data tools such as Apache Spark and Hadoop. Certification in AWS, Azure, or Google Cloud AI services. Show more Show less

TIG Welder specializing in stainless steel (SS 316/304) with proficiency in welding various thicknesses (1.6mm, 1.2mm, 0.8mm), will be responsible for performing high-quality Tungsten Inert Gas (TIG) welding operations on stainless steel components. Your role involves interpreting engineering drawings, selecting appropriate welding techniques, and ensuring the integrity and aesthetics of welded joints. Key Responsibilities: Material Preparation: Prepare stainless steel materials for welding, including cleaning, degreasing, and removing any surface contaminants to ensure optimal weld quality and integrity. Welding Setup: Set up TIG welding equipment, including welding machines, gas cylinders, torches, and consumables, according to welding specifications and material thicknesses. Welding Technique Selection: Select appropriate welding techniques, such as pulse welding or autogenous welding, based on material thickness, joint configuration, and welding requirements for SS 316 and SS 304 stainless steel. TIG Welding Operations: Perform TIG welding operations to join stainless steel components, following welding procedures and quality standards. Maintain proper torch angles, travel speeds, and filler metal deposition rates to achieve consistent and aesthetically pleasing welds. Joint Preparation: Prepare welding joints, including butt joints, fillet welds, and lap joints, using appropriate fit-up and edge preparation techniques to ensure proper penetration and fusion of welded joints. Quality Assurance: Inspect welded joints for defects, such as porosity, lack of fusion, or undercut, using visual inspection methods and non-destructive testing techniques (e.g., dye penetrant testing). Make adjustments to welding parameters or techniques as needed to ensure weld quality and integrity. Safety Compliance: Adhere to safety protocols and procedures to prevent accidents and ensure a safe working environment. Use personal protective equipment (PPE) and follow safety guidelines for handling welding equipment, gas cylinders, and hazardous materials. Documentation and Reporting: Maintain accurate records of welding activities, including welding parameters, material certifications, and quality inspection results. Report any welding defects, equipment malfunctions, or safety concerns to supervisors or quality control personnel. Qualifications: ITI / diploma or equivalent. Completion of a welding certification program or vocational training in TIG welding is preferred. Proficiency in reading and interpreting engineering drawings, welding symbols, and welding procedures. Knowledge of stainless steel properties, welding metallurgy, and heat treatment techniques for stainless steel alloys. Familiarity with TIG welding equipment, including AC/DC power sources, TIG torches, tungsten electrodes, and shielding gases (e.g., argon). Strong attention to detail and quality orientation, with the ability to produce high-quality welds to meet customer specifications and industry standards. Physical stamina and manual dexterity for standing, bending, and performing welding operations in a manufacturing environment. Effective communication skills and the ability to work collaboratively in a team environment. Job Types: Full-time, Permanent Pay: ₹16,000.00 - ₹26,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Ability to commute/relocate: Adibatla, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 4 years (Required) Location: Adibatla, Andhra Pradesh (Required) Expected Start Date: 16/06/2025

Lead Data Us Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitios Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Ideal qualifications, skills and experiences we are looking for are : We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. Minimum of 6 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch. Experience of leading a team and handling projects with end-to-end ownership is a must. Deep understanding of ML and Deep Learning is a must. Basis NLP experience is highly valuable. Pyspark experience is highly valuable. Competitive coding experience (LeetCode) is highly valuable. Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. Experience of building & deploying machine learning models in cloud environment : Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc. Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance. Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. Excellent verbal and written communication skills. Proven experience leading data science projects, managing timelines, and delivering results within deadlines. Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning. Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our clients data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. (ref:hirist.tech) Show more Show less

TIG Welder specializing in stainless steel (SS 316/304) with proficiency in welding various thicknesses (1.6mm, 1.2mm, 0.8mm), will be responsible for performing high-quality Tungsten Inert Gas (TIG) welding operations on stainless steel components. Your role involves interpreting engineering drawings, selecting appropriate welding techniques, and ensuring the integrity and aesthetics of welded joints. Key Responsibilities: Material Preparation: Prepare stainless steel materials for welding, including cleaning, degreasing, and removing any surface contaminants to ensure optimal weld quality and integrity. Welding Setup: Set up TIG welding equipment, including welding machines, gas cylinders, torches, and consumables, according to welding specifications and material thicknesses. Welding Technique Selection: Select appropriate welding techniques, such as pulse welding or autogenous welding, based on material thickness, joint configuration, and welding requirements for SS 316 and SS 304 stainless steel. TIG Welding Operations: Perform TIG welding operations to join stainless steel components, following welding procedures and quality standards. Maintain proper torch angles, travel speeds, and filler metal deposition rates to achieve consistent and aesthetically pleasing welds. Joint Preparation: Prepare welding joints, including butt joints, fillet welds, and lap joints, using appropriate fit-up and edge preparation techniques to ensure proper penetration and fusion of welded joints. Quality Assurance: Inspect welded joints for defects, such as porosity, lack of fusion, or undercut, using visual inspection methods and non-destructive testing techniques (e.g., dye penetrant testing). Make adjustments to welding parameters or techniques as needed to ensure weld quality and integrity. Safety Compliance: Adhere to safety protocols and procedures to prevent accidents and ensure a safe working environment. Use personal protective equipment (PPE) and follow safety guidelines for handling welding equipment, gas cylinders, and hazardous materials. Documentation and Reporting: Maintain accurate records of welding activities, including welding parameters, material certifications, and quality inspection results. Report any welding defects, equipment malfunctions, or safety concerns to supervisors or quality control personnel. Qualifications: ITI / diploma or equivalent. Completion of a welding certification program or vocational training in TIG welding is preferred. Proficiency in reading and interpreting engineering drawings, welding symbols, and welding procedures. Knowledge of stainless steel properties, welding metallurgy, and heat treatment techniques for stainless steel alloys. Familiarity with TIG welding equipment, including AC/DC power sources, TIG torches, tungsten electrodes, and shielding gases (e.g., argon). Strong attention to detail and quality orientation, with the ability to produce high-quality welds to meet customer specifications and industry standards. Physical stamina and manual dexterity for standing, bending, and performing welding operations in a manufacturing environment. Effective communication skills and the ability to work collaboratively in a team environment. Job Types: Full-time, Permanent Pay: ₹16,000.00 - ₹26,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Ability to commute/relocate: Adibatla, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 4 years (Required) Location: Adibatla, Andhra Pradesh (Required) Expected Start Date: 16/06/2025

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary Qualcomm’s Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience 7-10 years of experience developing dashboard with reporting tools – Tableau (Tableau API), Power BI, OBIEE. Skills Must: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor’s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074874 Show more Show less

Dear Aspirants, Greetings from ValueLabs! We are looking for AIML Engineer Role: AIML Engineer Skill set: AI/ML, NLP, Deep learning, Python, LLM, Gen-AI, Rag Implementation. Experience : 5+ Years NP: Immediate Location : Hyderabad - Hybrid Job Description - Proficiency in Python to manipulate data and draw insights from large data sets is a must. - Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of popular ML and non-ML libraries: TensorFlow, Torch, Sklenar, etc. - Solid understanding of machine learning concepts and techniques, particularly in NLP. - Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … - Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … - Experience in code management using Git Secondary Skills - Strong problem-solving skills and the ability to work collaboratively in a team environment. - Excellent written and verbal communication skills. - Experience in leveraging large language models (LLMs) and frameworks such as Lang Chain and Lang Smith for creating and optimizing AI-driven conversational applications. Show more Show less

Experience in writing clear, concise, and comprehensive test plans and test cases Knowledge of software QA methodologies, tools, and processes Fluent in Python, Git, CI methodologies Be comfortable with the concepts of an API and be used to working with it on a daily basis. Product-orientedbeing obsessed with delivering fully tested great product Company technical stack BackendPython, Flask, Rabbitmq, OpenAPI DatabasesSQL, Postgres with sqlalchemy. Document-based No SQL. ETL. InfrastructureGCP, Kubernetes, CircleCI MLPython, Torch, ClearML FrontendJS, TS, React

Oliver Wyman is a global leader in management consulting. With offices 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 7000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC] For more information, visit www.oliverwyman.com Follow Oliver Wyman on Twitter @OliverWyman Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting Role : Associate Director - Data & Analytics. Location: Gurugram, India At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Master’s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background (Data Science) Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required : Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Technical Background (Data Engineering) Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what you’re looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs. Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President , AI ML Lead ! In this role, we are looking for candidates who have relevant years of experienc e in T ext M ining . The T ext M ining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools . Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Q ualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow , MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python /R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Q ualifications / Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Bangalore Schedule Full-time Education Level Master's / Equivalent Job Posting Jun 9, 2025, 2:47:59 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary: Primary Skills • Master's degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only. Show more Show less

About Us All people need connectivity. The Rakuten Group is reinventing telecom by greatly reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. The mission is to connect everybody and enable all to be. Rakuten. Telecom Invented. Job Description Job Title: Senior AI/ML Engineer (Generative AI & ML Ops) Minimum 8+ years of experience in AI/ML development. Location : Bangalore Required Skills And Expertise AI/ML Strategy and Leadership: Define the AI/ML strategy and roadmap aligned with the product vision. Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings. Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members. Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems. AI/ML Development: Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib. Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models. Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques. Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models). Experience with feature engineering, model evaluation, and hyperparameter tuning. Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents. Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases. Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems. Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in dynamic environments. Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks. Optimize models for performance, scalability, and cost-efficiency. Job Requirement MLOps And DevOps For AI/ML Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining. Automate model training, testing, and deployment workflows using CI/CD pipelines. Implement robust version control for datasets, models, and code. Monitor model performance in production and implement feedback loops for continuous improvement. Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker. Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows. Expertise in deploying models on cloud platforms (AWS, Azure, GCP) Show more Show less

Key Responsibilities:Conduct regular site inspections, including night rounds, to ensure guard presence, discipline, and alertness. Oversee daily attendance, deployment, and shift adherence of security personnel across assigned sites. Recruit and mobilize guards, supervisors, and support staff as per project requirements. Verify field-level documentation such as attendance registers, duty rosters, and visitor logs. Ensure guards are properly uniformed and equipped (torch, raincoat, ID card). Liaise with clients for on-site requirements, incident updates, and feedback. Serve legal notices, perform courier/RPAD duties as assigned. Submit daily reporting of site visits, manpower gaps, and guard feedback. Coordinate with Admin/HR on training, grievances, and replacement deployment. Support internal and client-side audit preparedness through regular site record checks. Qualifications:Minimum 5 years’ experience in field operations, preferably with a security agency. Working knowledge of security deployment procedures and staff supervision. Good communication, reporting, and documentation skills. Must own a two-wheeler with valid license. Preference given to ex-servicemen or those with night patrol experience

Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises- global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Role: In your role as a Lead / Senior Lead Product Engineer(Machine Learning) with us , you will be tasked with creating and delivering novel Machine Learning solutions for next generation of digital customer experience applications. What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-effective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies , such as Kubernetes or Docker containers. Experience with large language models (GPT-4, Pathways, Google Bert, Transformer) and deep learning tools ( TensorFlow, Torch ). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users , other technical teams, and product management to understand requirements, describe software product features, and technical designs . Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI! Show more Show less

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant , AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 4, 2025, 6:34:09 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time