6900 Machine Learning Jobs - Page 12

Job Overview: We are seeking an experienced and knowledgeable Data Science Trainer to join our team. The ideal candidate will have a strong background in data science concepts, practical implementation skills, and the ability to deliver engaging training sessions to learners of all levels. Key Responsibilities: Design and deliver comprehensive data science training programs for students and professionals. Develop course materials, including presentations, assignments, and projects. Conduct hands-on coding sessions using tools like Python, R, and relevant libraries. Guide learners through real-world data science projects and case studies. Evaluate student progress, provide constructive feedback, and support their learning journey. Stay updated with the latest industry trends, tools, and technologies in data science. Collaborate with the content development team to improve course content and learning materials. Skills & Requirements: Proficiency in Python , ML , SQL and data visualization tools such as Power BI , Tableau , etc. Strong understanding of machine learning algorithms, data analysis techniques, and data preprocessing. Hands-on experience with data science libraries like NumPy , Pandas , Scikit-learn , TensorFlow , etc. Excellent presentation, communication, and mentoring skills. Prior experience in teaching or training is highly preferred. Certification in data science or related fields will be an added advantage. Job Type: Full-time Pay: ₹15,652.43 - ₹50,473.71 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Careers at New Horizon are always inspiring. You will be in the company of an aspiring young team of faculty members and staff. The Management is always supportive in all endeavors. The infrastructure facilities for teaching and research are conducive to excellence. New Horizon has well devised HR policies which will ensure recognition and rewards for excellent performers. New Horizon extends exceptional support for research and development initiatives at individual and department levels. At New Horizon, we provide you with every possible opportunity to inspire and help you traverse beyond what you think might be possible. Fueled by aspirations, we’re always growing, and we always find innovative ways of achieving eminence. At New Horizon, growth is vertical, lateral, incremental and exponential. We are serious about your growth. Come and join the New Horizon family. Professor/Associate Professor/Assistant Professor Departments-Computer Science & Engineering ,Artificial Intelligence & Machine Learning, CSE-Data Science, Information Science & Engineering, Electrical & Electronics Engineering, Master of Business Administration, Master of Computer Application, Qualification: Bachelor’s Degree, master’s degree, Ph.D. Experience: Assistant Professor – Bachelor’s Degree, master’s degree with 0-3 years of Experience. Associate Professor – Bachelor’s Degree, master’s degree, Ph.D. with minimum 5-8 Years of Experience of which 2 years post Ph.D. experience. Professor – Bachelor’s Degree, master’s degree, Ph.D. with minimum 10 Years of Experience of which at least 5 years at the level of Associate Professor. Interested candidates may send their resume to [email protected] / [email protected] Ms. Sulochana Punagin – 96635 25962 Ms. Prita Dutta – 91085 11397

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

About the Role: Grade Level (for internal use): 09 Job Description: Data Scientist Location: Bengaluru The Team: The Automotive Insights - Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry's supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise. Responsibilities: Develop and implement advanced analytical models to support S&P Global Mobility's SCT and IMR business strategies. Lead projects leveraging generative AI and intelligent agents to enhance predictive capabilities and automate complex processes. Collaborate with cross-functional teams to generate data-driven insights and solutions for the automotive sectors. Design and optimize data pipelines for efficient data processing and integration across various platforms. Mentor junior data scientists, providing guidance on best practices in data analysis and model development. Required Qualifications: Bachelor’s or master’s degree in computer science, Analytics, Data Science, Statistics, or a related field. 3 to 6 years of experience in building Machine learning or Generative AI applications Proven experience with data analysis tools such as Python, R, or SQL. Strong understanding of machine learning algorithms and frameworks. Expertise in AWS cloud services, including data storage, processing, and machine learning solutions. Experience in deploying and managing machine learning models on AWS. Familiarity with MLOps practices and tools for model lifecycle management. Knowledge of generative AI techniques and applications. Understanding of data engineering and data pipeline optimization. Soft Skills: Excellent communication skills for effective collaboration with cross-functional teams. Strong problem-solving abilities with a proactive approach to challenges. Ability to work independently and manage multiple projects simultaneously. Adaptability to rapidly changing environments and emerging technologies. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317307 Posted On: 2025-06-24 Location: Bangalore, Karnataka, India

Research , Drafting , Filing , Appearance Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Language: english, marathi (Required) License/Certification: Sanad (Required)

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The purpose of the Non-clinical Statistician - Computation role is to assist in the development of experimental design, validation and optimization, and provides analysis support for research scientists (Development, and Manufacturing). Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position. The job tasks listed below outline the scope of the position. The application of these tasks may vary based upon current business needs. Statistical Design and Analysis Collaborate during the implementation of analysis applications per customer needs. Assists during the development and implementation of novel statistical methods for studies. Collaborate during the effort to appropriately incorporate data mining, machine learning, or other methodologies (tools, strategies, validation, etc.) like but not limited to Shiny application programming to automate statistical analyses and visualizations Testing of JMP tools and change control support across CSV-validated tools Data simulations and visualizations (e.g. OC curves, assessing testing scenarios) Data cleaning/formatting/combining datasets from disparate sources (automated) in preparation for analysis Assessing data from studies conducted across the platform Assisting with data integrity documentation and reviews related to datasets Consults during development of new tools to aid statistical analyses and novel methods. Training and Development Assist during the development of and provide training courses for various statistical methods. Communication of Results Collaborate with Project Statisticians and team members or external partners to communicate results. Assist with or be responsible for communicating study results via manuscripts or oral presentations. Assist with the communication of results for one-on-one meetings with key customers or external partners and during presentations at scientific and therapeutically focused meetings. Therapeutic/Scientific Area Knowledge Understand disease states or scientific areas in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor. Regulatory Compliance Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, local, and departmental policies, procedures, processes, and training. Minimum Qualification Requirements: M.S., Ph.D., or equivalent experience Statistics, Biostatistics, or equivalent of field study. Other Information/Additional Preferences: Proficient in analytical programming languages like R, RShiny, JSL. Interpersonal/teamwork and communications skills for effective customer consultation Strong teamwork and leadership skills Technical growth and application with working knowledge of experimental design and statistics Self-management skills, creativity and innovation. Resource management skills Demonstrated problem solving ability and strategic thinking Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: R&D Department Lead Your role and responsibilities This position is for multi physics research, with primary focus on leveraging multi physics modeling to enrich ABB’s offerings in various sectors. In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. #LI-Hybrid This role contributes to the India Corporate Research Center (INCRC), located in Bangalore. You will be mainly accountable for: Multiphysics modeling and validation: Detailed physics-based modeling (preferably using Finite Element or finite volume method) of complex and diverse physical phenomena like electromagnetics, fluid dynamics (CFD), species transport (gas mixtures), multiphase flow, heat transfer, and structural mechanics, relevant to specific products and applications. Integrating diverse physics phenomena to analyze complex interactions Scientific analysis and improvement ideas: Expert analysis of data obtained from models and/or experimentation to understand complex functioning of products and/or processes. Identifying challenges and scope for improvement. Proposing novel ideas to overcome challenges and enrich product functionality, for cost and energy savings, ensuring faster time-to-market and promoting sustainability Feasibility studies and research proposals: Preparing research proposals on novel ideas and securing buy-in from business leaders and global research managers. Performing proof-of-concept studies to demonstrate innovative solutions. Communication of project results to Technical experts and Management and sharing research outcome with global teams for expert feedback, possibility of collaboration, and expansion of research scope. Securing Intellectual property and publishing in scientific conferences and journals, travel to customer sites, ABB locations on a need basis and ensuring safety and contribution to lab infrastructure. Qualifications for the role: Ph.D. in Mechanical/ Electrical/ Chemical engineering with a strong publication and patent record, with a minimum of 2 years of experience; industrial research experience is preferred. Expertise in finite element (F.E.) and finite volume (F.V.) modeling, particularly computational fluid dynamics (CFD) and heat transfer analysis. Exposure to electromagnetism and structural mechanics. Expert in tools like ANSYS, FLUENT, COMSOL, CFX, ICEPAK. Expertise in complex 3D geometry for F.E/F.V. modeling and discretization of complex geometries using tools like ANSYS design modeler, SpaceClaim. Expertise in analytical calculations (development of heuristic formulations) to analyze physical phenomena. Expertise in testing, experimentation and using measurement tools/systems and software is preferred. Ability to communicate effectively in English with internal and external experts and academicians and exposure to machine learning tools relevant to multiphysics research. What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: ABB a provides a comprehensive range of integrated automation, electrical and digital systems and services for customers in the process, hybrid and maritime industries. These offerings, coupled with deep domain knowledge in each end market, help to optimize productivity, energy efficiency, sustainability and safety of industrial processes and operations. #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: BL technology Manager, Digital In this role, you will have the opportunity to initiate and drive technology, software, product, and/or solution development using in-depth technical expertise in a specific area. Each day, you will act as the first point of contact in Research and Development (R&D) for in-depth product or technology-related issues. You will also showcase your expertise by supporting strategic corporate technology management and future product/software/solution architecture. The work model for the role is: #LI Hybrid This role is contributing to the Process Automation Business of Process Industry Division in Bangalore . You will be mainly accountable for: Architect and implement AI, ML, and Gen AI solutions to address critical industrial challenges. This includes designing data pipelines, developing machine learning models, and deploying scalable solutions Partner with cross-functional teams, including data engineers, data scientists, software developers, and domain experts, to ensure seamless integration and deployment of AI solutions Continuously research and integrate the latest advancements in AI, ML, and GenAI technologies into our solutions. Experiment with new algorithms, frameworks, and tools to enhance solution performance. Qualifications for the role Bachelors or Masters Degree in Computer Science, Software Engineering or equivalent Should have architected and designed AI / Gen AI / Web based software applications 8-10 years of experience with designing Software Architecture and overall software development experience of 15+ years. Experience with Implementing ML/AI/ GenAI Industrial software in one of these industries – Cement / Mining / Pulp & Paper / similar ones Proficiency in Python, R, Java /C++. Expertise in TensorFlow, PyTorch, Keras, Scikit-learn, and other relevant frameworks. Strong knowledge of data preprocessing, feature engineering, and data pipeline development using tools like Apache Airflow, Apache NiFi, and ETL processes. More about us The Process Industries Division serves the mining, minerals processing, metals, cement, pulp and paper, battery manufacturing, and food and beverage, as well as their associated service industries. The Division brings deep industry domain expertise coupled with the ability to integrate both automation and electrical systems, increase productivity and reduce overall capital and operating costs for customers. For mining, metals and cement customers, solutions include specialized products and services, as well as total production systems. The Division designs, plans, engineers, supplies, installs and commissions integrated electrical and motion systems, including electric equipment, drives, motors, high power rectifiers and equipment for automation and supervisory control within a variety of areas including mineral handling, mining operations, aluminum smelting, hot and cold steel applications and cement production. The offering for the pulp and paper industries includes control systems, quality control systems, drive systems, on-line sensors, actuators and field instruments. Digitalization solutions, including collaborative operations and augmented reality, help improve plant and enterprise productivity, and reduce maintenance and energy costs. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: R&D Department Lead Your role and responsibilities: In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. #LI-Hybrid This role contributes to the India Corporate Research Center (INCRC), located in Bangalore. You will be accountable for: Assisting research scientists in researching, developing, testing, and optimizing ML models for industrial automation i.e. working with sensor data, time series, and process logs for preprocessing, feature engineering, and model experimentation. Build and test AI prototypes using Python, TensorFlow/PyTorch, and industrial AI tools, evaluating model performance on industrial benchmarks, simulations, and real-world data, while optimizing for GPU efficiency, distributed training, and MLOps workflows. Collaborate with domain experts to define AI-driven solutions for industrial process challenges, supporting use case exploration, requirement gathering, and feasibility analysis. Assess AI models using key industrial metrics (accuracy, robustness, explainability, scalability), develop visual dashboards, support pilot projects and AI integration into industrial automation systems. Contribute to knowledge sharing, technical documentation, reports, and research publications. Qualifications for the role: Pursuing a full time Master’s or Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Data Science, or a related field, as a bona fide student, during the entire tenure of internship and with a no objection certificate from the placement center of the Institute. Programming: Proficiency in Python, TensorFlow/PyTorch, and Scikit-learn for ML development. Understanding of supervised/unsupervised learning, time series analysis, deep learning (including foundation models) and reinforcement learning. Understanding of statistics including hypothesis testing, confidence intervals etc. Understanding of time-series foundation models is advantageous. Should have ability to collaborate and communicate effectively in English with internal and external partners. What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: Our Process Automation business offers a range of solutions for process and hybrid industries, including our industry-specific integrated automation, electrification and digital solutions, control technologies, software and advanced services, as well as measurement & analytics, marine and turbocharging offerings. Process Automation is #2 in the market globally. Based on its deep domain knowledge, experience and expertise in delivering world-class automation products, systems and solutions, a wide area of complimenting digital and collaborative solutions across applications and sectors, the Process Automation business helps customers remain competitive, improving their ROI and running safe and productive operations #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: R&D Department Lead Your role and responsibilities: In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. #LI-Hybrid This role contributes to the India Corporate Research Center (INCRC), located in Bangalore. You will be mainly accountable for: Use cases and requirements gathering in cooperation with ABB’s business divisions and end customers for data-driven solutions along with evaluating and developing of mathematical algorithms and machine learning libraries for applications related to Industrial Process Automation business. Identifying and evaluating multiple design approaches and corresponding architectural solutions with a design rationale for machine learning systems. Developing proof of concepts, prototypes, and supporting pilot evaluation and productization of solutions. Adapting and optimizing machine learning algorithms to better utilize GPU and distributed clusters and communicating project results to experts and non-expert audiences. Creating Intellectual Property - Invention disclosures and publishing in scientific conferences and journals. Qualifications for the role: Ph.D. in a topic related to AI/ML in engineering from a reputed University with a good publication record and with a minimum of two years of relevant industrial research or post-doctoral experience. Proficiency in one or more programming languages and corresponding ML frameworks and libraries for interacting with industrial data. Good knowledge of supervised, unsupervised, semi-supervised, reinforcement learning techniques, time-series analysis, signal processing and related areas. Exposure to design, implementation and deployment of industrial machine learning systems with MLOps and efficient use of GPUs is preferred. Should have ability to collaborate and communicate effectively in English with internal and external partners What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: Our Process Automation business offers a range of solutions for process and hybrid industries, including our industry-specific integrated automation, electrification and digital solutions, control technologies, software and advanced services, as well as measurement & analytics, marine and turbocharging offerings. #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

- PhD or Masters in mechanical engineering or related field - 3+ years of experience using Star-CCM/FloTherm XT/EFD or comparable tool in consumer electronics - Experience using geometric tolerances and statistical tolerance analysis techniques - Experience in manufacturing processes such as injection molding, sheet metal forming and die casting, Design for Manufacturability (DFM) and Design for Assembly (DFA) - 2+ years of experience of building machine learning models for business application - Experience programming in Java, C++, Python or related language You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Evaluate and optimize thermal solution requirements of consumer electronic products - Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products - Validate design modifications for thermal concerns using simulation and actual prototypes - Establish temperature thresholds for user comfort level and component level considering reliability requirements - Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and present analytical and experimental results - Develop and apply design guidelines based on project learnings About the team Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? Demonstrated design experience with consumer electronics enclosure materials Creo Systems knowledge, Experience with Matlab or other engineering tools for modeling dynamic systems Demonstrated experience with statistical analysis tools like JMP and ReliaSoft Demonstrated leadership and mentoring skills This position may require international travel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Applications are invited from qualified candidates for the post of Postdoctoral Fellowship Positions for Optimal Reconfiguration of Photovoltaic Arrays at Amrita Vishwa Vidyapeetham Coimbatore Campus. Mentor : Dr. S. Saravanan, Assistant Professor, Department of EEE Contact details : [email protected] For More details contact : [email protected] Job Title Postdoctoral Fellowship Positions for Optimal Reconfiguration of Photovoltaic Arrays Location Coimbatore, Tamilnadu Topic Optimal Reconfiguration of Photovoltaic Arrays Using Advanced Algorithms and Machine Learning-Based Fault Detection and Diagnosis Required Number 1 Qualification Ph.D in Electrical and Electronics/ Embedded Systems / Computer Science and Engineering / Machine Learning / Artificial Intelligence / Information and Communication Engineering or other relevant disciplines in premier institutes in the country Job Description The department of Electrical and Electronics Engineering invites applications form enthusiastic and outstanding researchers for a post-doctoral fellowship under the following faculty. The candidate should be passionate about pursuing cutting-edge research leading to high-impact publications. Responsibilities Assist in research, publish high-impact papers, and optionally support teaching or lab activities Desirable Qualification The candidate is expected to have experience in PV modelling / Power Electronics / Embedded System / Soft Computing Algorithms / Machine Learning with a good publication record. Duration of Fellowship One year [extendable subject to conditions] Job Category Research Last Date to Apply July 31, 2025

Responsibilities: Curriculum Development: Design, develop, and update comprehensive Python training modules, course materials, presentations, exercises, and projects. Ensure curriculum aligns with industry best practices, emerging trends, and specific learning objectives (e.g., data science, web development, automation, machine learning). Training Delivery: Conduct engaging and interactive training sessions, workshops, and hands-on coding labs for individuals and groups, both in-person and online. Provide clear explanations of Python concepts, syntax, libraries, and frameworks. Facilitate discussions, answer questions, and provide constructive feedback to participants. Participant Assessment and Support: Monitor and evaluate participants' progress through assignments, quizzes, and projects. Offer guidance and support on coding practices, problem-solving, and debugging. Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field . Experience: More than 06 month experienced Technical Skills: In-depth knowledge of core Python concepts (data types, control flow, functions, OOP). Proficiency in popular Python libraries and frameworks (e.g., NumPy, Pandas, Matplotlib, Django, Flask, scikit-learn, TensorFlow/Keras). Experience with databases (SQL, NoSQL) and ORM libraries. Knowledge of machine learning, data science, or automation concepts is a strong advantage depending on the training focus. Job Type: Full-time Schedule: Day shift Morning shift Rotational shift Work Location: In person

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. >> Role and Responsiblities: Support model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP,LIME. Review model documentation, development code, and model risk assessments. Assist in developing and testing statistical and machine learning models for risk, fraud and business analytics. >> Key skills and tools: Programming: Python (must-have), R, SQL, ML libraries Tools: Jupyter, Git, MLFlow, Excel, Tableau/Power BI (for visualization), Dataiku Good technical writing and stakeholder communication Understanding of model risk governance, MRM policies, and ethical AI principles. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. QUALIFICATIONS >> Qualification: Bachelor’s/Master’s in Computer Science, Data Science, Statistics, Applied Math, or a related quantitative discipline. 1–3 years of experience in AI/ML model validation, development, or risk analytics.

ABOUT US We are an innovative Edtech company on a mission to revolutionize learning by blending cutting-edge technology with engaging educational experiences. Our goal is to empower learners across the globe with tools that inspire curiosity, growth, and success. THE ROLE We are seeking a Data Analytics Trainer to deliver comprehensive and hands-on training programs to students and professionals. The ideal candidate should have strong expertise in data analysis, statistical modeling, data visualization, and tools such as Excel, SQL, Python, R, and Power BI/Tableau . You will be responsible for designing curriculum, conducting interactive sessions, and ensuring learners gain practical, industry-relevant skills. KEY RESPONSIBILITIES Conduct interactive and practical training sessions on, o Data analysis fundamentals (data cleaning, wrangling, and pre-processing) o Statistical concepts (mean, median, standard deviation, correlation, etc.) o Data visualization using Power BI, Tableau, and Excel o Programming languages : Python (Pandas, NumPy), R, and SQL o Data modeling and predictive analytics Create and update training materials, presentations, and course content. Design practical assignments, projects, and case studies to enhance learning outcomes. Ensure course content aligns with industry trends and best practices. Conduct live demos on data extraction, cleaning, and visualization. Guide students in building and optimizing their own data analytical projects. Evaluate participants' performance through tests, assignments, and projects. Provide constructive feedback and support learners in skill improvement. Stay updated with the latest data analytics tools, trends, and technologies . Guide students on career paths, certifications , and interview preparation. WHAT WE’RE LOOKING FOR Bachelor’s or Master’s degree in Marketing, Business, or a related field. Proven experience as a Data Analyst, Data scientist or Trainer. Strong expertise in Excel and SQL, Python/R, Power BI,Tableau. Knowledge of machine learning basics is a plus. Ability to simplify complex topics for learners at different skill levels. Exceptional written and verbal communication skills. WHY JOIN US? Impactful Work: Be part of a company that’s transforming education and making a global impact. Growth Opportunities: Take on a pivotal role in a growing company with the chance to shape the future of the business. Dynamic Culture: Join a passionate and collaborative team where your ideas will be valued and your voice heard. Flexibility: Enjoy the freedom of a flexible work environment, with options for remote or hybrid arrangements. Compensation: Competitive salary, performance-based bonuses, and benefits. HOW TO APPLY If you are passionate about helping students shape their future and meet the above criteria, we would love to hear from you! Submit your application with your resume at [email protected] . Join us to make a difference in the lives of students and help them achieve their dreams! Education: Bachelor's (Preferred) Preferred Certifications: Microsoft Power BI Data Analyst Certification Tableau Desktop Specialist/Certified Associate AWS certified data analytics Google data analytics professional certificate Python/SQL related certifications Experience: 1+ year of hands-on experience in Data Analytics. 1+ year of training experience preferred. Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Job Types: Full-time, Permanent, Fresher Pay: ₹300,000.00 - ₹500,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Key Responsibilities: Greet and assist patients in a professional and courteous manner. Schedule and manage patient appointments and follow-ups. Guide patients through the admission, discharge, and referral process. Coordinate between patients and departments (doctors, nursing, billing, diagnostics). Collect and verify patient information, insurance, and documents. Handle patient queries, complaints, and provide appropriate resolutions or escalate as necessary. Maintain accurate patient records and update databases regularly. Educate patients about procedures, treatment plans, and medical instructions if needed. Monitor waiting areas and reduce patient wait time through efficient coordination. Ensure compliance with hospital policies and confidentiality standards. Support international patient care services, if applicable. Qualifications and Skills: Graduate in any discipline Minimum 1–2 years of experience in a hospital or clinic (Freshers with good communication may be considered) Excellent communication and interpersonal skills Knowledge of medical terminology and patient service protocols Proficient in using hospital management software (HMS) and MS Office Ability to multitask. Empathy, patience, and problem-solving skills Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Hiring Urgently Profile: SME/Trainees Technologies: Python with Machine Learning; JAVA with spring boot; Data sciences Education: B.Tech/ MCA Work experience: 3-5 years Location: Noida Must possess Development and Training Skills Immediate joining with remuneration matching industry standards Job Types: Full-time, Permanent Pay: ₹29,662.24 - ₹45,047.87 per month Experience: Python with Machine Learning; Data sciences: 3 years (Required) JAVA with spring boot; Data sciences: 3 years (Required) Work Location: In person

We are seeking a motivated Data Scientist with a strong foundation in statistics and 1-3 years of relevant experience to join our dynamic team. As a key member of our data analytics group, you will assist in analysing data, developing models, and deriving insights to drive strategic decision-making. Key Responsibilities: Analyse large datasets to identify trends, patterns, and insights. Apply statistical methods to solve business problems and inform decision-making. Develop predictive models using machine learning techniques. Assist in data cleaning, preparation, and exploratory data analysis. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends in data science, statistical methodologies, and large language models (LLMs). Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or a related field. Minimum 1-3 years of experience in data analysis, statistical modelling, or machine learning projects. Strong understanding of statistical concepts and methodologies. Familiarity with programming languages such as Python or R. Basic knowledge of large language models (LLMs) and their applications. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Basic knowledge of machine learning algorithms and techniques. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. What We Offer: Opportunity to work on real-world data science projects. Mentorship and training from experienced data scientists. A collaborative and innovative work environment. Opportunities for professional growth and development. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹50,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Morning shift Work Location: In person

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for:-Experience in film production, animation, and content creation.-Familiarity with AI tools for content creation.If you meet these requirements and are excited to be part of a dynamic team, send us your resume at hidden_email Lets create something incredible together!,

Key Responsibilities: Collaborate with content creators and creative leads to conceptualize video ideas Create detailed and visually engaging storyboards for video scripts and concepts Assist in the setup, coordination, and direction of video shoots Ensure that the visual storytelling aligns with the brand tone and message Stay updated on trends in short-form and digital video content (Reels, Shorts, YouTube, etc.) Requirements: 1-3 years of experience in video production or creative storytelling Strong skills in storyboarding, visual storytelling, and camera planning Basic understanding of lighting, framing, and scene composition Good communication and collaboration skills Familiarity with tools like Adobe Premier pro, After effects, Photoshop, AI tools

Total Experience 2 - 10 years Education: Bachelors degree in computer science, Data Science, or related field, or equivalent practical experience Location Hyderabad/Bangalore/Pune, India Primary Skills: AI & Machine Learning: Basic understanding of AI concepts and machine learning fundamentals, Familiarity with Large Language Models (LLMs) and Prompt engineering concepts, Interest in AI Agents, and frameworks like LangChain or Crew AI, Basic knowledge of Python ML libraries (e.g., scikit-learn, NumPy, Pandas) Programming: Working knowledge of Python for AI/ML implementation Version Control: Git, GitHub workflow Cloud: Basic understanding of cloud concepts for AI/ML workloads (GCP/AWS or Azure) Frameworks: Knowledge of at least one backend framework (Django, Flask, FastAPI) Data Handling: Basic experience with data processing and analysis Key Responsibilities: Assist in developing and maintaining AI components under the guidance of senior engineers Help implement LLM-based features and basic AI Agents using established frameworks. Learn about prompt engineering and LLM fine-tuning techniques. Support data preparation, cleaning, and preprocessing for AI models. Assist with model testing, evaluation, and basic performance analysis. Document AI implementation details and contribute to technical documentation. Participate in code reviews to improve code quality and learn from feedback. Help troubleshoot issues in AI pipelines and implementations. Collaborate with cross-functional teams to understand AI implementation requirements. Stay up to date with emerging AI technologies and methodologies. Qualifications: Basic understanding of machine learning concepts and AI fundamentals Working knowledge of Python programming and data manipulation libraries Familiarity with or strong interest in Large Language Models and generative AI Understanding of software development practices and version control systems Knowledge of basic data structures and algorithms Strong problem-solving skills and analytical thinking Eagerness to learn new AI technologies and approaches. Good communication skills and ability to work in a team environment. Ability to understand and implement guidance from senior AI engineers Experience with any AI/ML projects (academic, personal, or internship) is an added advantage. Degree in Computer Science, Data Science In addition to this, we would also like to hire one mid-level engineer. I have attached the JD for your reference.

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -