15431 Machine Learning Jobs - Page 6

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team in a fast-paced and challenging environment This unique opening offers you a chance to collaborate within our team and work closely with the Business to provide a comprehensive perspective. As a Quantitative Research Associate C++ Developer in the QR modeling group at J.P. Morgan, you will play a crucial role in a global team that collaborates with traders, marketers, and risk managers across various products and regions. Your responsibilities will involve contributing to sales and client engagement, driving product innovation, managing valuation and risk, optimizing inventory and portfolios, engaging in electronic trading and market making, and implementing effective financial risk controls. This position presents a distinctive opportunity to apply your expertise in financial engineering, data analytics, statistical modeling, and portfolio management while evolving within a dynamic and forward-thinking environment. Responsibilities: - Design and execute C++ HPC models for pricing and risk assessment. - Develop tools for monitoring and optimizing the firm's resources efficiently. - Collaborate with technology teams to create risk management systems and front-end tools. Qualifications and Skills: - Hold an advanced degree (MSc, PhD, or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. - Possess strong analytical, quantitative, and problem-solving skills with a knack for research. - Demonstrate experience in object-oriented programming, particularly in C++. - Familiarity with data science and machine learning concepts, techniques, and tools. - Excellent communication skills to convey complex ideas and concepts both verbally and in written form to diverse audiences. - Ability to swiftly comprehend business concepts beyond your immediate expertise and adapt to rapidly changing business requirements. Desired Capabilities: - Knowledge of financial markets. - Experience with big data technologies and tools such as Tensorflow.,

The Data Science and AIML Trainer plays a crucial role in advancing the skill set and knowledge of individuals aspiring to excel in data science and artificial intelligence disciplines. You will ensure that students and professionals are equipped with the latest techniques, tools, and methodologies essential in harnessing the power of data. Your responsibilities include creating and delivering effective training programs, workshops, and mentorship to students, guiding them through practical applications of data science and AIML concepts. It is essential to convey complex topics in an understandable manner while staying current with industry trends to foster a hands-on learning environment, enhance critical thinking, and drive participants" career success in these rapidly evolving domains. Develop comprehensive training materials covering data science and AIML topics, conduct interactive workshops, and lectures demonstrating practical applications of theories. Assess trainee skills and aptitudes to tailor training sessions accordingly. Guide participants through hands-on projects to reinforce theoretical concepts. Stay updated with the latest industry trends and technologies in data science and AI. Provide one-on-one mentorship and support to trainees post-training. Evaluate and provide feedback on participant projects and assignments. Collaborate with the curriculum development team to enhance training content. Design assessments to measure learning outcomes and identify areas of improvement. Implement effective teaching methodologies to ensure knowledge retention. Facilitate group discussions and encourage knowledge sharing among trainees. Utilize various teaching tools and technologies to enhance the learning experience. Organize and participate in workshops/conferences related to data science and AI. Establish connections with industry experts to provide real-world insights to trainees. Maintain and update an online portal for resource sharing and trainee engagement. Required Qualifications: - Bachelor's degree in Data Science, Computer Science, or related field. - Proven experience in data science and AIML training or mentoring. - Strong understanding of machine learning algorithms and models. - Proficiency in programming languages such as Python/R and SQL. - Experience with data visualization tools (e.g., Tableau, Matplotlib). - Excellent communication and presentation skills. - Ability to simplify complex concepts for diverse audiences. - Experience in curriculum design and educational methodologies. - Hands-on experience in implementing AIML projects. - Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. - Strong analytical and problem-solving skills. - Ability to work collaboratively in a team-oriented environment. - Certification in data science or AIML will be an advantage. - Commitment to continuous learning and professional development. - Ability to manage multiple projects and deadlines efficiently. Skills: data analysis, machine learning, programming languages, deep learning, data visualization, project management, communication skills, curriculum development, machine learning models, Python.,

We are looking for a highly skilled and innovative Test Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our team. Your main responsibility will be to ensure the quality, reliability, and performance of our cutting-edge AI/ML products and solutions. You will leverage your hands-on experience with AI tools, Large Language Models, Computer Vision Models, and Generative AI Techniques to design and implement comprehensive testing strategies. Your role offers a unique opportunity to work at the forefront of AI technology and contribute to high-impact developments. Your tasks will include designing, developing, and executing comprehensive test plans and test cases to evaluate the performance, accuracy, bias, robustness, and safety of AI/ML models such as Large Language Models (LLMs) and computer vision models. You will also be conducting thorough evaluations of LLMs and Retrieval-Augmented Generation (RAG) systems using established and innovative methodologies. Furthermore, you will architect and implement robust evaluation frameworks and metrics for assessing various aspects of AI model performance like accuracy, precision, recall, bias detection, fairness metrics, and safety considerations. You will be developing custom evaluation scripts and tools using Python and relevant AI/ML libraries, as well as maintaining automated test scripts to streamline the testing of AI-powered features and functionalities. Your role will also involve integrating AI-driven test automation into CI/CD pipelines for continuous quality assurance, working with various AI tools and plugins, integrating AI/ML tests into CI/CD pipelines, utilizing test and defect management tools, and continuously learning about the latest advancements in AI/ML testing methodologies and tools. Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of proven experience as a Test Engineer with a significant focus on testing AI/ML models and applications. - Hands-on experience evaluating and testing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and computer vision models. - Strong background in designing evaluation frameworks for assessing AI model performance, accuracy, bias, and safety. - Proficiency in programming languages such as Python. - Experience working in Agile development environments. If you meet the qualifications and are passionate about AI/ML testing, we would love to have you on our team.,

As a Client Solutions Partner with 8 to 12 years of experience, you will play a vital role in leveraging your expertise in Telecom and AI/Generative AI (GenAI) solutions to guide and support telecom clients in unlocking the potential of AI technologies. Your responsibilities will involve building strong relationships with key decision-makers in the telecom industry, designing tailored AI-driven solutions, identifying new business opportunities, and overseeing end-to-end project implementation to ensure client success. You will collaborate closely with clients to understand their business challenges and telecom requirements, offering strategic insights on how AI and GenAI can revolutionize their operations and enhance customer experiences. By staying informed on the latest trends in AI, machine learning, and generative AI, you will be able to provide clients with innovative solutions that drive growth and efficiency in their telecom operations. Your role will also encompass advocating for client needs within the organization, monitoring the performance and ROI of AI solutions, and fostering collaboration across various teams to deliver exceptional client experiences. With your strong communication, presentation, and project management skills, you will be able to effectively lead consultative sales engagements, manage complex projects, and ensure clear alignment between internal and external stakeholders throughout the solution lifecycle. To excel in this role, you should hold a Bachelor's degree in Business, Telecommunications, Computer Science, Engineering, or a related field, or possess equivalent work experience. Additionally, you must demonstrate a proven track record in client-facing roles within the telecom industry, possess deep expertise in AI technologies, and exhibit strong business acumen to translate client needs into actionable AI/GenAI solutions. Preferred qualifications include experience with specific AI applications in the telecom sector, familiarity with AI platforms and tools, and knowledge of AI ethics and regulations, particularly in telecom environments. If you are passionate about driving innovation and delivering value through AI solutions in the telecom industry, this role offers a rewarding opportunity to make a significant impact and contribute to the success of our clients.,

As a Finance Data Analyst at our UK-based accounting and IT project management service provider with an overseas office in Bapunagar Ahmedabad Gujarat, your primary responsibility will be to analyze and interpret financial data to identify trends and insights. You will be tasked with developing and maintaining advanced Excel Macros and VBA scripts to automate data processing and reporting tasks. Additionally, you will design and build interactive dashboards and data visualizations using tools such as Power BI, TableEU, Power Query, or similar applications to support decision-making. Collaboration with cross-functional teams will be essential to optimize data structures, enhance data accuracy, and accessibility. You will also perform statistical analysis and predictive modeling to support business forecasting and strategic planning. Ensuring data integrity, security, and compliance with regulatory standards will be a key aspect of your role. Providing actionable insights and recommendations based on data analysis to improve financial performance will be crucial. Furthermore, documenting processes, methodologies, and findings for stakeholder understanding and future reference will be part of your routine tasks. Continuous evaluation and improvement of data collection, analysis, and reporting practices will be expected from you. To excel in this role, you should possess a Bachelor's or Master's degree in Finance, Data Science, Computer Science, or a related field along with 3 to 5 years of experience in finance, data analysis, and data science. Proficiency in Excel, including advanced Macros, VBA, and pivot tables, as well as SQL query management tools is required. Strong knowledge of big data analytical applications like Power BI, TableEU, Power Query, or similar tools for creating dashboards, data modeling, and DAX calculations is essential. Experience with statistical analysis, predictive modeling, and machine learning techniques will be beneficial. A strong analytical mindset, problem-solving skills, attention to detail, and excellent communication skills to present technical findings to non-technical stakeholders are necessary. The ability to work independently and collaboratively in a fast-paced environment is also crucial. Preferred skills for this role include knowledge of SQL for querying databases, experience with Python or R for data analysis and automation, understanding of financial regulations, and compliance requirements, as well as prior experience in the IT or financial services industry.,

The responsibilities for this role include extracting, cleaning, and preprocessing data for analysis. You will be using statistical and machine learning techniques for pattern recognition and creating visualizations to present findings effectively. Additionally, you will assist in database management and other data-related tasks. The ideal candidate should have a bachelor's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or others is required. Familiarity with data visualization tools such as Tableau or Power BI is also necessary. Good analytical and problem-solving skills are essential for this role. This is a full-time job position that requires in-person work at the designated location.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Enterprise Technology provides reliable, secure, and resilient technology services and solutions to support our 400,000 EY people. As part of a joint Finance/Enterprise Technology organization called the Mercury Support Team (MST), you'll be at the forefront of enabling innovative technologies that support our core operating processes across the Opportunity and Engagement Lifecycle and its related Finance Applications. Our aim is to create a superior customer experience with clear investment in innovation, alongside operational excellence that delivers efficient, quality services, and stable operational solutions. You will work with technologists and business experts to meet the increasing pace of our business. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. **The Opportunity:** We are seeking an SAP Time and Expense / Concur Assistant Product Manager that is a highly skilled role with SAP/ERP functional and technical skills across all aspects of Product Management / Product Operations paired with expertise in Big 4 Financial Controlling Management. In this role, you will support critical elements of the global operational stability of the SAP Time and Expense / Concur product suite. **Your key responsibilities:** - Understand and support documentation of business processes, workflows, and requirements to ensure Time and Expense / Concur components align with organizational goals and operational needs. - Develop detailed functional specifications for Time and Expense / Concur components, including user stories, use cases, and acceptance criteria for new features, configurations, technical fixes, and enhancements. - Provide support to the lead Product Manager in their interactions with business / finance stakeholders and the technical team, facilitating communication and ensuring mutual understanding of requirements and constraints. - Support the product update and enhancement lifecycle with emphasis on demand, requirements, validation, and securing business signoff. - Support requirements review, validation activities, test case reviews, and user acceptance testing for new features rolling out across Time and Expense / Concur product suite. - Ensure that SAP components adhere to industry best practices, regulatory requirements, and internal policies. - Monitor the effectiveness of SAP components in supporting business operations and report on their impact and ROI. - Monitor impacts to other processes and products that may stem from changes they promote across the SAP Time and Expense / Concur product suite. - Team with other Technical teams and business stakeholders to manage/monitor functional incidents and service requests through the full lifecycle (through closure). - Provide technical incident, service request, and problem tickets management oversight and prioritization. - Provides global, cross-border major incident oversight and communicates status to the global business in a timely manner. - Adheres to SLA compliance for all workloads and re-prioritizes tickets if necessary. - Analyzes batch failures/errors and summarizes findings in reports to lead Product Manager. **Skills and attributes for success:** - 5+ years of experience in a large business system environment, performing business analysis, business development, and/or project systems management. - 5+ years of experience in Time and Expense / Concur solutions. - Direct experience in supporting Finance Controlling operations for a global professional services organization (Big 4 experience preferred). - SAP certification preferred. - History of working credibly with senior stakeholders. - Exceptional verbal and written skills including strong cross-cultural communication and the ability to draft effective communications. - Ability to work with people in a variety of cultures, countries, and time zones. - Knowledge of Artificial Intelligence, BOT Framework, and Machine learning. **To qualify for the role, you must have:** - Creative and self-starter mindset with strong analytical and quantitative skills to operate, at times, without direct supervision on multiple complex projects and tasks, and their shifting priorities in parallel. - Effective listening skills and display openness to other people's ideas and thoughts. - Ability to deal efficiently with escalations, conflicts, and difficult situations/people under pressure. - English language skills - exceptional written and verbal communication. - Flexibility to work out of regular office hours to cater to the global organization needs. **Ideally, you'll also have:** - Prior experience working for a large, global organization with a complex environment. **Education:** Bachelors degree in finance, business, computer science, or a related discipline, or equivalent work experience. **Experience:** 5+ years of relevant experience in an ERP/SAP Time and Expense Product function. Possession of a current (non-expired) professional, industry recognized certification preferred. **What we offer:** As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop, and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial, and social well-being. Your recruiter can talk to you about the benefits available in your country. - Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. - Success as defined by you: We'll provide the tools and flexibility so you can make a meaningful impact, your way. - Transformative leadership: We'll give you the insights, coaching, and confidence to be the leader the world needs. - Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be responsible for analyzing large datasets and uncovering valuable business insights through data mining techniques. You will develop and deploy predictive models for various applications such as customer segmentation, demand forecasting, and anomaly detection. Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions will be a key aspect of your role. Designing and implementing data-driven models to ensure scalability, efficiency, and accuracy is also part of your responsibilities. You will be required to perform data preprocessing and feature engineering to prepare data for analysis. Continuously monitoring, evaluating, and optimizing deployed models to improve performance will be essential. Staying current with the latest developments in machine learning and data science to implement best practices is expected. Presenting findings and recommendations clearly to both technical and non-technical stakeholders is also part of the job. To be a great fit for this role, you should have 3-7 years of experience in data science or a related role. Proven expertise in building, training, and deploying machine learning models is crucial. A solid understanding of statistical techniques, machine learning algorithms (supervised, unsupervised learning), and deep learning is required. Proficiency in Python and hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn is necessary. Strong problem-solving skills with the ability to work with large, complex datasets are also important. Excellent communication and collaboration skills to work effectively with technical and non-technical teams are a must. Experience with cloud platforms (AWS, GCP, Azure), familiarity with big data technologies (e.g., Hadoop, Spark), experience with MLOps tools and workflows, and knowledge of data visualization tools like Tableau or Power BI are considered bonus points for this role.,

The team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions. You will work closely with trading desks, product managers, and technology teams to develop analytical tools and quantitative trading models. Additionally, you will collaborate with different control functions to ensure that business operations comply with established regulatory requirements. There are multiple opportunities available, including roles in derivative quantitative modeling, electronic trading quantitative analysis, risk quantitative analysis, a cross-asset library and infrastructure quantitative analysis, or as a quantitative analyst in the business optimization and automation team. Job Responsibilities - Develop and maintain sophisticated mathematical models to value and hedge financial transactions, ranging from vanilla flow products to complex derivative deals. - Enhance the performance of algorithmic trading strategies and promote advanced electronic solutions to clients globally. - Collaborate with risk functions to develop models for the market and credit risk exposure of the bank across various lines of business. - Build cutting-edge methodologies and infrastructure to implement models in production. Required Qualifications, Capabilities, and Skills - Hold a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields, with strong quantitative, analytical, and problem-solving skills. - Possess a solid background in calculus, linear algebra, probability, and statistics. - Demonstrate proficiency in at least one object-oriented programming language such as C++ or Java, as well as proficiency in Python. - Have knowledge of data structures and algorithms. - Capability to work both independently and as part of a team. - Think strategically and creatively when faced with problems and opportunities. - Excellent communication skills, both verbal and written, to effectively engage and influence partners and stakeholders. Preferred Qualifications, Capabilities, and Skills - Markets experience and familiarity with general trading concepts and terminology is beneficial. - Knowledge of various financial products and asset classes like Fixed Income, Credit, Commodities, and Equities. - Background in computer algorithms, Python, and specialization (or significant coursework) in low-level systems (operating systems, compilers, GPUs, etc.). - Understanding of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be advantageous.,

DESCRIPTION Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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.

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to provide best fit architectural solutions for one or more projects You would also provide technology consultation and assist in defining scope and sizing of work You would implement solutions create technology differentiation and leverage partner technologies Additionally you would participate in competency development with the objective of ensuring the best fit and high quality technical solutions You would be a key contributor in creating thought leadership within the area of technology specialization and in compliance with guidelines policies and norms of Infosys If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Domain Turbomachinery Compressor Rotor Technology Finacle Core Payments Positive Pay Services Advance Technology Infrastructure Server Administration MS Windows 2003 Technology Machine Learning NLP Speech Analytics Technology Microservices Microservices API Management Technology Mobile Testing Mobile Automation Testing Robotium Additional Responsibilities: Knowledge of architectural design patterns performance tuning database and functional designs Hands on experience in Service Oriented Architecture Ability to lead solution development and delivery for the design solutions Experience in designing high level and low level documents is a plus Good understanding of SDLC is a pre requisite Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology->Cloud Platform->GCP Networking service->Google Cloud NAT,Technology->Cloud Security->AWS - Infrastructure Security->AWS Shield,Technology->Full stack->LAMP stack->Frontend(Python)+Enterprise layer(Apache,Technology->Machine Learning->MLOps,Technology->Machine Learning->NLP-Speech Analytics,Technology->Microservices->Microservices API Management

DESCRIPTION Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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. Job details IND, KA, Bangalore Machine Learning Science

Job Information Date Opened 08/06/2025 Industry IT Services Job Type Internship Work Experience 0-1 year City Pune City State/Province Maharashtra Country India Zip/Postal Code 411057 About Us CCTech 's mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications. We have two business divisions: product and consulting. simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process. Our consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world's leading engineering organizations, many of which are Fortune 500 list of companies, in achieving digital supremacy. Job Description We are seeking motivated Interns for Full-Stack Development. The ideal candidate will work on both front-end and back-end development tasks. Responsibilities: Front-End Development: Design and implement responsive, user-friendly interfaces using Modern frameworks (e.g.,React, Angular). Collaborate with designers to translate Figma/wireframes into functional code. Back-End Development:Develop robust, secure, and scalable back-end services using technologies like Node.js, Python. Create and maintain RESTful APIs for seamless data exchange between client and server. Database Management:Design & implement SQL and NoSQL (e.g. MongoDB, DynamoDB) databases. Optimize queries for performance and scalability. Cloud and Deployment:Manage cloud platforms (e.g., AWS, Azure). Use containerization tools like Docker and orchestration tools like Kubernetes for deployment. Integrate CI/CD pipelines to automate builds, testing, and deployments. Testing and Debugging:Conduct unit, integration, and end-to-end testing. Collaboration and Documentation:Work closely with product managers, designers, and other developers to define project requirements and deliverables. Document code, APIs, and technical processes for maintainability and knowledge sharing. Requirements Creating modular and reusable components Translating UI/UX reference design into code as closely as possible Creating more than basic CRUD applications Unit Testing and E2E testing automation Maintaining documentation Nice to have: Know about deploying to any hosting platform Experience working with Linux/Unix environment Experience working with Threejs Must have: HTML/CSS JavaScript Any data storage like sql, mongo, etc Fluency in English communication and comprehension. Benefits Opportunity to work with a dynamic and fast-paced IT organization. Make a real impact on the company's success by shaping a positive and engaging work culture. Work with a talented and collaborative team. Be part of a company that is passionate about making a difference through technology.

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you’ll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location. You’ll Make a Difference By: o Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Exploring and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Developing predictive/prescriptive models, algorithms, and prototypes to support business. o Having working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Performing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization, REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AI You’ll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record. o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field. o Strong programming skills in languages such as Python. o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools. o A collaborative, team-oriented attitude with a proactive mindset. Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at: www.siemens.com/careers

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you’ll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location. You’ll Make a Difference By: o Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Exploring and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Developing predictive/prescriptive models, algorithms, and prototypes to support business. o Having working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Performing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization, REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AI You’ll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record. o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field. o Strong programming skills in languages such as Python. o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools. o A collaborative, team-oriented attitude with a proactive mindset. Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at: www.siemens.com/careers

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE Actimize is currently seeking an experienced Senior Data Scientist to join our dynamic and growing AML Analytics Services team. How will you make an impact? Perform analysis to support the deployment of AML analytical models Improve the quality and actual implementation of computational algorithms and tools Optimize the performance of NICE Actimize AML products and improve customers’ experience with our AML solutions. Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved. Develop and enhance our solution-specific scores. Should be able to deliver the work within timelines. Measure the quality of the analytical performance of AML Products. Help maintain and improve model development methodologies/practices. Have you got what it takes? Total experience : 2 - 4 years Strong data analytical skills and well versed with statistical concepts. Strong experience with using SQL and EXCEL. Understanding of database concepts, data integration. Strong programming skills in Python version 3.7 and above and ability to rapidly learn new programming tools. Experience of building and deploying classification, regression, clustering machine learning models at an enterprise level . Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients. Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc. Hands-on experience with AWS Cloud computing services such as Sage maker, EC2. Strong commitment to quality. Customer facing experience – a plus Knowledge of KNIME – a plus. Exposure to MLOps – a plus. Knowledge of Optimization analytics. Knowledge of Data Robot – a plus. Well versed with deploying ML Models using Containers. Experience in full AI/ML life cycle from model development, training, deployment, testing, refining and iterating. Passion for financial data and problem solving, understanding that financial data comes in different formats and sizes. Experience in building robust data pipelines – a plus. Should be experienced in building Enterprise Machine Learning models. Highly experienced in handling customer interactions. Experienced in creating standard model development reports What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8212 Reporting into: Tech Manager Role Type: Individual contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

We have an exciting and rewarding opportunity for you to take your analytics career to the next level. As a Quant Analytics Associate within the Data and Analytics team, you will support advanced analytics projects across various operational functions, channels, and products. Your role will enhance the customer experience by providing complete analytics support to maintain better controls in the firm. Job Responsibilities: Support & lead partnerships with key Ops stakeholders and Ops Product groups with a strong understanding of business drivers, underlying data, and processes. Support demand mitigation programs by providing data and analytics leadership across the servicing organization. Excel in collaborating with various teams to effectively map the data flow from processes to databases. Lead development and reporting of Ops performance metrics & KPIs using analytical tools such as trend analysis, segmentation, and optimization. Analyze customer interactions across various channels to understand customer journeys and friction points. Manage multiple deliverables focused on gaining insight into various issues and enhancing existing monitoring processes. Prepare and deliver presentations summarizing insights and conclusions for executives in scheduled analytics meetings. Required Qualifications, Capabilities, and Skills: Minimum 4 years of related experience. Bachelor's degree in a quantitative or related field. Hands-on experience with SQL, Alteryx, and Tableau. Experience delivering analytics solutions following Agile methodology. Effective communication skills with senior leaders and great presentation skills. Preferred Qualifications, Capabilities, and Skills: Python is a good-to-have skill. Familiarity with data mining, statistical modeling, and machine learning. Experience in data QC and backtracking discrepancies. Entrepreneurial drive and ability to analyze problems and design solutions.

Job Requirements 1 . Job Description : AI/ML/GenAI Architect with Microsoft Azure Cloud skills Responsibilities: Design and implement advanced AI solutions, including machine learning models, computer vision applications, OCR systems, and Generative AI (GenAI) solutions using frameworks like TensorFlow, Pytorch, OpenCV and Langchain. knowledge of AI orchestration, AI Agents, Agentic AI, Enterprise Integration skills, distributed and event based architectures Develop end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment, utilizing Python libraries such as Pandas and NumPy. Architect and implement robust MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence, and Azure DevOps. Lead AI/ML projects from conceptualization to production, focusing on the development and deployment of Large Language Models (LLMs) for various applications. Conduct comprehensive data analysis, statistical validation, and model performance evaluation, employing SQL proficiency and ETL processes. Implement CI/CD pipelines for seamless deployment and integration of AI models, using Git for version control and Databricks for collaborative data science workflows. Skills: Knowledge of Large Language Models (LLMs) and Generative AI (GenAI) Machine Learning, Computer Vision, Image Processing, OCR Proficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlow Experience with Azure SDK for Python and Flask-based REST APIs SQL proficiency and experience with ETL processes Azure Document Intelligence and model deployment in Azure Familiarity with Git, Azure ML, and Azure DevOps Experience with Databricks and MLflow Work Experience 1 . Job Description : AI/ML/GenAI Architect with Microsoft Azure Cloud skills Responsibilities: Design and implement advanced AI solutions, including machine learning models, computer vision applications, OCR systems, and Generative AI (GenAI) solutions using frameworks like TensorFlow, Pytorch, OpenCV and Langchain. knowledge of AI orchestration, AI Agents, Agentic AI, Enterprise Integration skills, distributed and event based architectures Develop end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment, utilizing Python libraries such as Pandas and NumPy. Architect and implement robust MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence, and Azure DevOps. Lead AI/ML projects from conceptualization to production, focusing on the development and deployment of Large Language Models (LLMs) for various applications. Conduct comprehensive data analysis, statistical validation, and model performance evaluation, employing SQL proficiency and ETL processes. Implement CI/CD pipelines for seamless deployment and integration of AI models, using Git for version control and Databricks for collaborative data science workflows. Skills: Knowledge of Large Language Models (LLMs) and Generative AI (GenAI) Machine Learning, Computer Vision, Image Processing, OCR Proficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlow Experience with Azure SDK for Python and Flask-based REST APIs SQL proficiency and experience with ETL processes Azure Document Intelligence and model deployment in Azure Familiarity with Git, Azure ML, and Azure DevOps Experience with Databricks and MLflow

Job Description: JS TechAlliance Consulting Private limited is a global IT solutions company that provides full-cycle services in the areas of software development, web-based enterprise solutions, mobile application design, and portal development. We combine solid business domain experience, technical expertise, profound knowledge of industry trends, and a quality-driven delivery model to offer progressive end-to-end web solutions. Our goal is to provide specialized mobile software and web business solutions while providing business consulting to our clients. Our team of Android/iOS/J2EE/Web professionals has rich IT experience and a better capability to understand your business world. Roles and Responsibilities: Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirements: B.Tech or M.Tech (AI & Data Science only) Excellent English Communication Skills Indore Localite Candidate Internship Duration: 6 Months In-Office (Fulltime Internship) Job Location: Indore Joining: Immediate Share Resume at [email protected] or can Contact Here :- 0731-3122400 Whatsapp - 8224006397 Job Type: Internship Contract length: 6 months Application Question(s): Immediate Joiner Do you live in Indore? Can you attend an In-Office Interview? How much would you rate yourself in English Communication out of 10? Have you completed your B.Tech or M.tech(Data Science /AI\ML)? (Mandatory) Education: Bachelor's (Required) Language: English (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

Job description Experience: Min 1 months to 3 years preferred Location: Adajan, surat. Job Type: Permanent (Full Time) CTC: Best in the Industry Mandatory Skills Must be a working in IT Industry/Teaching/Training with a minimum of 6 months of Experience Must have strong communication skills Should be good in dealing with curious students Technical Skills · Data science · Data visualisation · Machine Learning · Python · R Language · Artificial Intelligence · Power BI Roles & Responsibilities: · Training the youth joining at IANT for Technical Courses and making future IT Professionals. · Preparing students for getting a jobs in IT industry by providing Technical Knowledge. · Providing Practical training to the students to make them employable · Creating IT awareness on different Technologies by delivering webinars/ Seminars in colleges Candidate with training/teaching background will be an added advantage Job Types: Full-time, Regular / Permanent Job Type: Full-time Salary: ₹15,000.00 - ₹40,000.00 per month Schedule: Day shift Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Language: English/Hindi/Marathi (Preferred) Timely Batch Completion § Conduct lectures as per the log sheets and ensure that the modules are completed as per the batch schedule § Start lectures on time Excellence in Course Delivery § Conduct sessions using Sharpschool Methodology . § Ensure every experiment is demonstrated to the student in the class § Maintain labs/equipments and ensure they are in proper order before starting the class § Ensure that the number of Drop-outs is reduced to the minimum extent possible § Conduct proxy lectures in case where the concerned faculty is absent § Ensure daily assignment are given to the students § Ensure students complete their journal and project work within the stipulated time frame § Responsible for student conduct and classroom discipline and administration § Conduct internal exams on timely basis § Assist the external examiner in conducting the centre examination § Increasingly promote students for international certification courses § Conduct parents teacher meet and provide constructive feedback Training and Development § Need to be FAT certified before undertaking any module § Perform well in periodic review tests § Upgrade themselves within the stipulated time period to conduct higher modules by attending training on these modules imparted by the senior faculty Data Management § Prepare and send student progress reports within the specified period § Maintain Sharpschool Methodology register on a daily basis § Maintain Batch tracker in real time basis § Prepare batch tracking report on a monthly basis Maintain lab register on a daily basis Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Flexible schedule Ability to commute/relocate: Adajan, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person

Job Title: Visiting Faculty – Computer Science Institution: Amity University Ranchi Location: Ranchi, Jharkhand Department: Department of Computer Science & Engineering Employment Type: Visiting / Part-Time / Temporary Duration: One Semester / As per institutional requirement About Amity University Ranchi: Amity University Ranchi, part of the prestigious Amity Education Group, is committed to academic excellence and cutting-edge research. The university offers a vibrant environment for teaching, learning, and innovation. We invite dynamic and experienced academicians to join us as Visiting Faculty in Computer Science , to deliver high-quality education and contribute to our growing academic community. Roles & Responsibilities: Deliver lectures for undergraduate and/or postgraduate Computer Science programs. Design and conduct assessments, tutorials, and practical sessions as per course requirements. Provide academic guidance and mentoring to students. Participate in syllabus development and continuous curriculum improvement. Engage students through modern pedagogical tools and techniques. Deliver guest lectures or seminars on current trends in Computer Science. Collaborate with permanent faculty on academic or research initiatives (as applicable). Eligibility Criteria: Essential Qualification: Ph.D. / M.Tech / M.Sc. / MCA in Computer Science, Information Technology, or a closely related field from a recognized university. Experience: Minimum 2–5 years of teaching experience in a reputed institution or relevant industry experience. Desirable Expertise Areas: Artificial Intelligence & Machine Learning Data Science & Analytics Cybersecurity Cloud Computing Full Stack Development Blockchain Operating Systems, DBMS, Computer Networks Skills Required: Strong subject knowledge and communication skills. Passion for teaching and mentoring students. Familiarity with Outcome-Based Education (OBE) and digital teaching tools. Ability to handle hybrid or fully online classes (if needed). Remuneration: Attractive compensation as per qualifications, experience, and university norms. Application Process: Interested candidates may email their updated CV , cover letter , and a list of courses they are interested in teaching to: Mail your CV to [email protected] Application Deadline: 10-Aug-2025 Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Monday to Friday Morning shift Language: English (Required) Work Location: In person Application Deadline: 26/08/2025 Expected Start Date: 18/08/2025

Job Summary: We are seeking a passionate and knowledgeable Lecturer to teach subjects related to Artificial Intelligence and Machine Learning under the MSBTE Diploma curriculum . The ideal candidate should have a strong foundation in AI/ML concepts, be familiar with the MSBTE academic structure, and be capable of delivering practical and theory-based learning to diploma students. Key Responsibilities: Deliver engaging and well-structured lectures, tutorials, and lab sessions as per MSBTE AI/ML syllabus. Teach core subjects like: Introduction to AI Machine Learning Basics Python for AI Data Science fundamentals Deep Learning (as per MSBTE guidelines) Prepare lesson plans, teaching materials, and lab manuals. Evaluate student performance through internal assessments, practicals, and examinations. Guide students on mini-projects and final-year projects related to AI/ML. Maintain student records, attendance, and assessment data as per academic standards. Participate in curriculum review, faculty meetings, and MSBTE academic activities. Stay updated with recent developments in AI/ML to enhance teaching content. Support students with academic doubts and career guidance in AI/ML. Must Have Qualifications: ME, BE in Engineering (BE/BTech in Computer Engineering, IT, or related branch) or Master’s Degree in Computer Applications (MCA) Desirable Qualifications: Master’s in Engineering/Technology (ME/MTech) in AI, Data Science, or related field. Knowledge of tools like Python, TensorFlow, Scikit-learn, Jupyter Notebooks. Familiarity with MSBTE academic processes and examination pattern. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Morning shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Ability to commute/relocate: Asangaon, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Master's (Preferred) Work Location: In person

Their responsibilities encompass teaching, curriculum development, student advising, research, and contributing to the overall academic environment. They ensure students gain the necessary skills and knowledge to analyze data, extract meaningful insights, and contribute to data-driven decision-making. Key Responsibilities: Teaching and Instruction: Delivering high-quality lectures, labs, and workshops on various data analysis topics, including statistical analysis, data mining, data visualization, and machine learning. Developing and updating course materials, including syllabi, assignments, and assessments, to align with current industry standards and best practices. Using diverse teaching methodologies to cater to different learning styles and ensure student engagement. Providing timely and constructive feedback on student work. Curriculum Development: Contributing to the design and development of new data analytics courses and programs. Ensuring the curriculum is relevant to industry needs and incorporates the latest trends and technologies. Participating in curriculum review and revision processes to maintain academic rigor and relevance. Student Advising and Mentoring: Providing guidance and support to students pursuing data analytics degrees or related fields. Helping students choose appropriate courses, select research topics, and plan their careers. Mentoring students in research projects and providing guidance on career development. Research and Scholarship: Conducting independent research in data analysis or related areas. Publishing research findings in peer-reviewed journals and presenting at conferences. Seeking external funding for research projects. Service to the Department and University: Participating in departmental meetings and committees. Contributing to the overall academic life of the university. Engaging with industry professionals and participating in outreach activities. In essence, data analytics faculty are responsible for: Educating students: Equipping them with the knowledge and skills to become effective data analysts. Advancing the field: Conducting research and contributing to the development of new data analysis techniques. Building the data analytics community: Fostering collaboration and engagement with industry and other stakeholders. Job Types: Full-time, Part-time Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Rotational shift Supplemental Pay: Overtime pay Language: English (Preferred) Work Location: In person

About the job: As a Big Data Executive at Sona Constructions Private Limited, you will play a crucial role in driving the company's data strategy and leveraging advanced analytics to optimize business operations. We are seeking an experienced professional who is proficient in Machine Learning, Python, SQL, Java, and Hadoop. Key responsibilities: 1. Develop and implement data-driven solutions to enhance decision-making processes. 2. Lead and manage big data projects to identify trends and patterns in large datasets. 3. Collaborate with cross-functional teams to design and deploy scalable machine learning models. 4. Optimize data pipelines and workflows for efficient data processing and analysis. 5. Conduct performance evaluations and provide guidance to junior data analysts. 6. Stay updated on the latest trends and technologies in big data and machine learning. 7. Work closely with stakeholders to understand business requirements and deliver actionable insights. If you are passionate about leveraging the power of data to drive business growth and have a proven track record in big data analytics, we invite you to join our dynamic team at Sona Constructions Private Limited. Who can apply: Only those candidates can apply who: Salary: ₹ 4,60,000 - 10,30,000 /year Experience: 0 year(s) Deadline: 2025-09-05 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages, Cab/Transportation facility, Health Insurance, Life Insurance Skills required: Java, Python, SQL, Machine Learning and Hadoop About Company: Sona Constructions Private Limited is a well-known and reputed organization with over 35 years of experience in the construction machinery business. It is one of the leading suppliers of construction machinery in India; with a wide range of machines catering to various types of construction processes, providing the right machine for all your construction needs. We have operations across Pan India.