ai/ml engineer

software engineer

machine learning engineer

The Value Maximizer

<div>
 We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. You will be responsible for designing, developing, and deploying machine learning models and AI solutions that address complex challenges. The ideal candidate is proficient in Python, PyTorch, and statistical modeling and has a strong passion for leveraging AI to create impactful tools.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and optimize machine learning models and algorithms
 </li>
 <li>
 Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow
 </li>
 <li>
 Analyze large, complex datasets to extract insights and identify patterns
 </li>
 <li>
 Develop scalable machine learning pipelines for training, validation, and deployment
 </li>
 <li>
 Collaborate with cross-functional teams to integrate ML models into production systems
 </li>
 <li>
 Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies
 </li>
 <li>
 Document processes and model performance to ensure reproducibility and compliance. Qualifications
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 3+ years of experience in machine learning, deep learning, or AI tool development
 </li>
 <li>
 Proficiency in Python and experience with frameworks such as PyTorch and Tensorflow
 </li>
 <li>
 Solid understanding of statistical modeling, probability, and optimization techniques
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and handling large datasets
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork abilities
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment and manage multiple priorities
 </li>
 </ul>
</div>

AI/ML Engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP.
 </li>
 <li>
 Experience programming in C, C++, Java, or Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Advanced degree in Computer Science or Computer Engineering, or a related field.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, conceive, and develop software applications to extend and improve on Google's product offering.
 </li>
 <li>
 Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
 </li>
 <li>
 Collaborate on scalability issues involving access to data and information.
 </li>
 <li>
 Solve challenges/problems that you are presented with.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, University Graduate, 2026

Procter & Gamble

<div>
 
 Job Location
 
 
 
 Mumbai
 
 
 
 Job Description
 
 
 
 P&amp;G was founded over 180 years ago as a simple soap and candle company. Today, we're the world&rsquo;s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
 
 
 
 Dedication from Us:
 
 
 
 You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship &ndash; work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment&ndash; employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
 
 
 
 Overview Of The Job
 
 
 
 Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
 
 
 Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
 
 
 
 Your team
 
 
 
 This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
 
 
 
 How Success Looks Like
 
 
 
 <ul>
 <li>
 Enabling savings every year on base budget as per the masterplan
 </li>
 <li>
 Delivering touchless digital transformation masterplan and reapplying across the globe.
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Provides technical leadership in supporting OU innovation projects.
 </li>
 <li>
 Acts as a key enabler in leading and delivering results against challenges.
 </li>
 <li>
 Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
 </li>
 <li>
 Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
 </li>
 <li>
 Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
 </li>
 <li>
 Work with process/equipment authorities and application developers to identify data relevant for analysis.
 </li>
 <li>
 Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
 </li>
 <li>
 Develop and maintain key data pipelines across selected sites globally
 </li>
 <li>
 Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
 </li>
 <li>
 Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
 </li>
 <li>
 Identify, diagnose, and resolve prognostics model performance issue.
 </li>
 <li>
 Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's in engineering/computer Sci
 </li>
 <li>
 Experience with Machine Learning Techniques
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
 </li>
 <li>
 Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
 </li>
 <li>
 Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
 </li>
 <li>
 Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
 </li>
 <li>
 Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
 </li>
 <li>
 Experience in advance analytics, big data, machine learning.
 </li>
 <li>
 Experience in designing visualization to improve user experience and effective decision making
 </li>
 <li>
 Innovation Approach &ndash; Ability to assess business operations and find opportunities, then drive case
 </li>
 <li>
 Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
 </li>
 <li>
 Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
 </li>
 <li>
 IT Security &amp; Risk &ndash; In touch with modern IT security risks and principles.
 </li>
 <li>
 Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
 </li>
 <li>
 Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
 
 
 </li>
 </ul>
 We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide.
 
 
 Visit http://www.pg.com to know more.
 
 
 We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
 
 
 
 
 &ldquo;At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137873
 
 
 
 Job Segmentation
 
 
 
 Entry Level
</div>

Data Scientist

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 The team
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

JPMorganChase

<div>
 
 Job Description
 
 
 
 Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 
 
 As a Software Engineer I at JPMorgan Chase within the Model Risk Governance &amp; Review (MRGR) team, you will be developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort, including resource management and cost optimization tools. You will provide support for model reviewers and governance teams in building independent testing and efficiency tools. You will be delivering high-quality solutions by emphasizing the importance of data controls, testing, user experience and continuously seek input from users to align efforts with their objectives. Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient.
 
 
 Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. MRGR is a global team of modeling experts within the firm&rsquo;s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. Within MRGR, the Chief Operating Office (COO) supports model risk stakeholders in their review and governance activities, and drives certain governance activities itself, with responsibility for: product ownership, process engineering and software development for model risk technology and analytics; model risk reporting; administration of oversight committees; project management of the review and governance pipeline; coordination of regulatory/audit deliverables including capital stress testing exercises; and general business management. Within COO, MRGR Analytics provides technology solutions for MRGR and its clients, assisting them in performing their tasks more efficiently, accurately, and with better control. Majority of the solutions are built within Athena (JPMorganChase&rsquo;s proprietary framework using Python language), Tableau and QlikView/QlikSense frameworks.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop tools to automate various tasks in the model governance and review lifecycle.
 </li>
 <li>
 Build various dashboard reports to help manage the body of work that MRGR deals with.
 </li>
 <li>
 Translate the existing business requirements in model risk management space into business applications using applied development work mostly in Python using in-house built Python framework.
 </li>
 <li>
 Integrate Large Language Models (LLMs) into existing systems to enhance automation, reporting capabilities and decision-making processes.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
 </li>
 <li>
 Build intelligent solutions to support the activities of MRGR staff.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
 </li>
 <li>
 Minimum 2 years of full stack application development.
 </li>
 <li>
 Proficient in Python and knowledge of Tornado web framework / TypeScript / React required.
 </li>
 <li>
 Good understanding of software architecture, object-oriented programming and design patterns.
 </li>
 <li>
 Experience with integrating machine learning models, including LLMs, into enterprise applications.
 </li>
 <li>
 Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
 </li>
 <li>
 Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience in working with large data sets.
 </li>
 <li>
 Exposure to LLM integration and deployment in real-world applications.
 </li>
 <li>
 Strong UI/UX designing skills.
 </li>
 <li>
 Experience in model risk management or financial services space.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
 
 
 Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
</div>

Software Engineer I

Cushman & Wakefield

<div>
 
 Job Title
 
 
 
 Project Engineer
 
 
 
 
 Job Description Summary
 
 
 
 
 This role is responsible for reviewing and coordinating the MEP activities with Civil Activities and ensuring smooth execution. Also review of drawings, Site Execution and Quality Assurance and Quality Control is part of this profile.
 
 
 
 
 Job Description
 
 
 
 
 Project Engineer - MEP
 
 
 
 
 Job Description
 
 
 
 
 
 About the Role:
 
 
 
 <ul>
 <li>
 Review the MEP drawings are aligned as per the Project Requirements.
 </li>
 <li>
 Coordinate with Contractor for smoot execution of works.
 </li>
 <li>
 Coordinate with Civil activities for proper execution and sequencing of works at site.
 </li>
 <li>
 Quality Assurance and Quality Control is maintained for all the works..
 
 
 </li>
 </ul>
 
 
 General Responsibilities
 
 
 
 
 <ul>
 <li>
 Review all the MEP-related drawings with respect to the Civil drawings.
 </li>
 <li>
 Review and coordinate that the material supplied at site is as per BOQ specs and quantities.
 </li>
 <li>
 Review and coordinate that the work execution at site is as per approved drawings and as per approval quality parameters.
 </li>
 <li>
 Ensure regular measurement of the completed work has to be done for ease of billing purpose.
 </li>
 <li>
 Check and Certify the measurement for the executed works
 
 
 </li>
 </ul>
 
 
 About You:
 
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in Execution of MEP works for Residential Project.
 </li>
 <li>
 Experience in drawing reviews and coordination of all MEP Services.
 </li>
 <li>
 Proven track record in site execution and alignment of works with respect to Civil Work progress at site.
 </li>
 <li>
 Generating Weekly and Monthly Reports highlighting all MEP details in line with the overall project requirement/
 
 
 </li>
 </ul>
 
 Why join Cushman &amp; Wakefield?
 
 
 
 As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman &amp; Wakefield means you will benefit from.
 
 
 <ul>
 <li>
 Being part of a growing global company.
 </li>
 <li>
 Career development and a promote from within culture.
 </li>
 <li>
 An organisation committed to Diversity and Inclusion
 
 
 </li>
 </ul>
 We're committed to providing work-life balance for our people in an inclusive, rewarding environment.
 
 
 We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.
 
 
 INCO: &ldquo;Cushman &amp; Wakefield&rdquo;
</div>

Project Engineer

Explore 61+ Machine learning engineer in Mumbai India this November. Find roles across top companies and apply now to boost your career.

61 machine learning engineer jobs IN Mumbai India

AI/ML Engineer

Software Engineer, University Graduate, 2026

Data Scientist

Data Scientist - AGM/ DGM/ GM

Data Scientist

Software Engineer I

Project Engineer