19236 Statistics Jobs - Page 7

About Terratern Terratern is the fastest growing Global Talent Mobility Solution, dedicated to guiding clients through seamless relocation journeys. We offer personalized visa assistance, job search support, and comprehensive resources to empower individuals pursuing opportunities abroad. Our commitment to client satisfaction and transparency ensures a smooth, reliable experience at every step of the immigration process. Role Overview As a Business Analyst, you will work closely with business stakeholders to understand their needs and translate them into actionable insights. You will analyze data, identify trends, and help optimize business processes to support Terratern’s mission of providing seamless global mobility solutions. Key Responsibility Gather, analyze, and document business requirements. Identify and recommend process improvements. Analyze data to uncover trends and insights. Develop reports and dashboards to support decision-making. Collaborate with cross-functional teams to implement solutions. Monitor and report on key performance indicators (KPIs). Leverage automation tools such as Zapier and n8n to streamline workflows and improve efficiency (knowledge of these tools is mandatory). Eligibility: Bachelor’s degree in Business, Economics, Statistics, Computer Science, or related field. Minimum 2 years of experience in business analysis or data analytics. Proficient in Excel, SQL, and data visualization tools (Tableau/Power BI). Strong analytical, problem-solving, and communication skills. Why Join Terratern Joining TerraTern puts you in a mission-driven organisation that is changing lives. Here’s what makes us unique: Impactful Work: Assist individuals in achieving their global mobility goals by guiding them through the entire process. Professional Growth: Learn from our industry experts and get access to continuous training about the latest immigration trends and policies. Entrepreneurial Culture: You have authority and ownership in your role. Share ideas, try new solutions and more. Work-Life Balance: Hybrid work arrangements that take care of your well-being. Collaborative Environment: Be part of an enthusiastic team eager for collaboration and excellence. Skills: immigration,business analysis,global mobility,automation tools,analytics

Role: Data Scientist Experience: 3-6 Years4 Location: HYD (WFO) Mandatory Skills: Python, Machine Learning Frameworks(e.g., TensorFlow, PyTorch is a plus), SQL, data visualization tools. JD: Role Overview: We are looking for a skilled Data Scientist with3 –6 years of experience who can turn data into actionable insights using machine learning, statistical analysis, and data modeling techniques. The candidate will work closely with cross-functional teams to solve business problems using data and analytics. This is an onsite role in Hyderabad with working hours from 2:00 PM to 11:00 PM IST. Key Responsibilities: Analyze large datasets to extract insights, build predictive models, and support data-driven decisions. Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems. Work with structured and unstructured data, performing data cleaning, preprocessing, and feature engineering. Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib/Seaborn). Collaborate with engineering and product teams to deploy models into production. Continuously improve models based on performance metrics and feedback. Required Skills & Qualifications: 3–6 years of experience in data science, analytics, or applied machine learning. Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.). Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus). Proficient in working with SQL and relational databases. Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly/Matplotlib. Understanding of statistical techniques and hypothesis testing. Experience with cloud platforms (AWS/GCP/Azure) is a plus. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. Other Details: Work Location: Hyderabad (Onsite only) Working Hours: 2:00 PM – 11:00 PM IST Remote Option: Not available

Purpose The role of the Principal Programmer is to provide programming support to the statistics and programming department across a range of projects, clients and therapeutic areas. Key Responsibilities The study programmer position will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired. SAS is also fine. R programming is preferred. We are open to any therapeutic area experience. The team primarily supports rare diseases so if we present candidates with this area of expertise then that will be a plus, but no emphasis on therapeutic area. Real World Healthcare claims database experience is must. Any equivalent EU database experience to US Market scan/Optum is fine. OMOP-Common data model experience is a huge plus. We are fine with someone with even 1 year experience, familiar with this experience. SQL is must specially querying and extracting from database. Strong communication, time management, enthusiasm and documentation skills are essential in this position. Technical Proficient in R and SQL programming - Expertise in Oncology databases such as Flatiron, COTA - Has good understanding of Oncology specific analyses such as Line of Therapy algorithms, Survival analysis, different statistical models - Preferable to have R Shiny or Instant Health Data (IHD) experience - Experience with Analytic Datasets, patient cohorts is good to have. General Lead internal and client study team meetings effectively Present study updates internally and at client meetings Share scientific, technical and practical knowledge within the team and with colleagues Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training Build effective collaborative working relationships with internal and client team members Seek opportunities to develop innovative ideas, sharing when appropriate Line management or mentorship of more junior team members Contribution to development of internal training materials Contribution to internal process improvement initiatives Minimum Qualification Requirements Bachelor’s degree in computer science, Statistics, Mathematics, or other subject with high statistical content Minimum 7-8 years SAS statistical programming experience Database programming using SQL Experience with advanced statistical methods such as survival and regression Experience with real world healthcare claims and EHR data such as MarketScan, Optum and Medicare databases Other Information/Additional Requirements Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content Training or experience using the OMOP common data model Training or experience with Python, R, Databricks or other cloud-based software Pharmaceutical industry experience Training or experience in epidemiological methods

The Monitoring and Evaluation unit supports management in measuring the outcome and impact of the programs and interventions, and using the learning to improve quality and relevance of the programs across organization. The Impact Measurement Team Leader will effectively contribute to enhance organizations understanding of the consequences of its programming, improving internal systems, and promoting evidence-based decision-making across organizations program verticals. The TL will ensure that the impact measurement produced by the unit are of high quality and can be shared internally and externally to inform decision makers. Key Responsibilities: (1) Designing framework of programme Impact measurement according to the organization's program delivery strategy of direct implementation as well as implementing with partner organisations on the ground; (2) Contribute with M&E and Impact Measurement specific technical competence to the development of Program ToCs, LFAs, developments of indictors and plan of action; (3) Support efforts to enhance organization's level M&E systems and standards by developing SoPs and technical guidelines; (4) Contribute to development of organization's program/vertical specific M&E technical guidance, tools and mechanism; (5) Sharing programme performance with the team on a regular basis and bringing out critical issues and adverse performances, if any; (6) Provide feedback regarding context changes that raise new data trends and needs assessments; (7) Provide timely and robust information to promote the dissemination of learning, better project cycle management, and facilitate evidence-based decision-making through the provision of technical analysis; (8) Programmatic course corrections are done based on study findings; (9) Sharing of programme impact with internal and external stakeholders; (10) Program and project impact are measured according to well-defined impact measurement framework; (11) Production of publishable impact measurement report both internally within organization and externally with implementing partners; (12) Coach and mentor M&E staff members to develop their skills and ensure high-quality evidence-based reporting. 4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualification: Applicant must have a Master Degree in Social Sciences or Population Sciences or Statistics or Mathematics. Experience: (1) Minimum of 12 years experience in similar CSR or NGO/INGO experience. (2) Proven leadership in impact evaluation, monitoring frameworks, and data-driven strategy development. Skills and Competencies: (1) Strong knowledge of M&E tools, techniques, and international best practices.; (2) Demonstrated ability in data analysis, report writing, and presentation of findings;? (3) Expertise in designing ToC and logical frameworks; (4) Ability to collaborate effectively with internal teams and external stakeholders.

Description We are seeking a skilled Data Scientist to join our team in India. The ideal candidate will have 3-10 years of experience in data analysis, statistical modeling, and machine learning, driving data-driven decision-making processes across the organization. Responsibilities Analyze large datasets to derive actionable insights Develop and implement predictive models and algorithms Collaborate with cross-functional teams to understand business needs Visualize data and present findings to stakeholders Conduct experiments to validate hypotheses and improve processes Skills and Qualifications Proficiency in programming languages such as Python or R Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) Strong understanding of statistical analysis and methodologies Experience with data visualization tools (e.g., Tableau, Matplotlib) Knowledge of SQL and database management systems Excellent problem-solving skills and attention to detail Strong communication skills to present complex data insights effectively

Johnson Controls is the global leader for smart, healthy and sustainable buildings. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. We’re helping to create a healthy planet with solutions that decrease energy use, reduce waste and make carbon neutrality a reality. Sustainability is a top priority for our company. We committed to invest 75 percent of new product development R&D in climate-related innovation to develop sustainable products and services. We take sustainability seriously. Achieving net zero carbon emissions before 2040 is just one of our commitments to making the world a better place. Please visit and follow Johnson Controls LinkedIn for recent exciting activities. Why JCI: https://www.youtube.com/watch?v=nrbigjbpxkg Asia-Pacific LinkedIn: https://www.linkedin.com/showcase/johnson-controls-asia-pacific/posts/?feedView=all Career: The Power Behind Your Mission OpenBlue: This is How a Space Comes Alive How will you do it? JCI is looking for a highly skilled Business Intelligence Senior Specialist to join Order to Cash (OTC/O2C) Global Reporting team. The successful candidate will have extensive experience in data analysis, reporting, and business intelligence tools, with a particular focus on optimizing and enhancing our O2C reporting capabilities. You will collaborate with cross-functional teams to provide insights and drive data-driven decision-making. Johnson Controls is seeking an experienced Ops Data Analyst to join our team in Gurgaon. The successful candidate will be responsible for analyzing complex datasets to support decision-making processes and drive operational improvements. Gather and process data from various sources to facilitate business analysis and reporting. Utilize statistical techniques to identify trends, patterns, and anomalies in operational data. Create and maintain dashboards and reports to provide actionable insights to management. Collaborate with cross-functional teams to understand business requirements and deliver relevant analytical solutions. Assist in the development and implementation of data collection systems and strategies to enhance data quality. Perform ad-hoc analyses to identify opportunities for process improvement Translate business needs into data solutions to support operational and financial performance improvement. Automate recurring reporting tasks and support continuous improvement of data pipelines and processes What we look for? Postgraduate / master’s degree in data science, Statistics, Computer Science, or a related field. 5-8 years of experience in data analytics within an operations context. Strong proficiency in SQL and experience with data visualization tools (e.g., Power BI, Tableau). Expertise in statistical analysis and data modeling techniques. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication skills to effectively present findings and insights to stakeholders. Experience in the Order to Cash process or related operations. Familiarity with ERP systems such as SAP or Oracle. Ability to work independently and manage multiple projects simultaneously. Snowflake, OneStream, Python, or similar platforms is a plus. What We Offer We offer an exciting and challenging position. Joining us you will become part of a leading global multi-industrial corporation defined by its stimulating work environment and job satisfaction. In addition, we offer outstanding career development opportunities which will stretch your abilities and channel your talents Diversity & Inclusion Our dedication to diversity and inclusion starts with our values. We lead with integrity and purpose, focusing on the future and aligning with our customers’ vision for success. Our High-Performance Culture ensures that we have the best talent that is highly engaged and eager to innovate. Our D&I mission elevates each employee’s responsibility to contribute to our culture. It’s through these contributions that we’ll drive the mindsets and behaviors we need to power our customers’ missions. You have the power. You have the voice. You have the culture in your hands

TransUnion's Job Applicant Privacy Notice What We'll Bring TransUnion is a global information and insights company that makes trust possible in the modern economy. We do this by providing a comprehensive picture of each person so they can be reliably and safely represented in the marketplace. As a result, businesses and consumers can transact with confidence and achieve great things. We call this Information for Good.® A leading presence in more than 30 countries across five continents, TransUnion provides solutions that help create economic opportunity, great experiences and personal empowerment for hundreds of millions of people. What You'll Bring As consultant on our team, you will join a global group of statisticians, data scientists, and industry experts on a mission to extract insights from data and put them to good use. You will have an opportunity to be a part of a variety of analytical projects in a collaborative environment and be recognized for the work you deliver. TransUnion offers a culture of lifelong learning and as an associate here, your growth potential is limitless. The consultant role within the Research and Consulting team is responsible for delivering market-level business intelligence both to TransUnion’s senior management and to Financial Services customers. You will work on projects across international markets, including Canada, Hong Kong, UK, South Africa, Philippines, and Colombia. To be successful in this position, you must have good organizational skills, a strategic mindset, and a flexible predisposition. You will also be expected to operate independently and able to lead and present projects with minimal supervision. How You’ll Contribute You will develop a strong understanding of consumer credit data and how it applies to industry trends and research across different international markets You will dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SQL, and Python on Linux and PC computing platforms) You will conduct analyses and quantitative research studies designed to understand complex industry trends and dynamics, leveraging a variety of statistical techniques You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; you may lead key presentations to clients You will perform multiple tasks simultaneously and deal with changing requirements and deadlines You will develop strong consulting skills to be able to help external customers by understanding their business needs and aligning them with TransUnion’s product offerings and capabilities You will help to cultivate an environment that promotes excellence, innovation, and a collegial spirit Through all these efforts, you will be a key contributor to driving the perception of TransUnion as an authority on lending dynamics and a worthwhile, trusted partner to our clients and prospects Impact You'll Make What you'll bring: A Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Operations Research, Economics, or an equivalent discipline Minimum 3-5 years of experience in a relevant field, such as data analytics, lending, or risk strategy Advanced proficiency with one or more statistical programming languages such as R Advanced proficiency writing SQL queries for data extraction Experience with big data platforms (e.g. Apache Hadoop, Apache Spark) preferred Advanced experience with the MS Office suite, particularly Word, Excel, and PowerPoint Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously Excellent verbal and written communication skills. You must be able to clearly articulate ideas to both technical and non-technical audiences Highly analytical mindset with the curiosity to dig deeper into data, trends, and consumer behavior A strong interest in the areas of banking, consumer lending, and finance is paramount, with a curiosity as to why consumers act the way they do with their credit Strong work ethic with the passion for team success This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Consultant, Data Analysis and Consulting

DESCRIPTION: The Network Engineer’s role is to ensure the stability and integrity of in-house voice, data, video, and wireless network services. This is achieved by planning, designing, and developing local area networks (LANs) and wide area networks (WANs) across the organization. In addition, the Network Engineer will participate with the installation, monitoring, maintenance, support, and optimization of all network hardware, software, and communication links. This individual will also analyze and resolve network hardware and software problems in a timely and accurate fashion, and provide end user training. RESPONSIBILITIES: Strategy & Planning • Collaborate with department heads to assess near- and long-term network capacity needs. • Create and maintain documentation as it relates to network configuration, network mapping, processes, and service records. • Develop, implement and maintain policies, procedures, and associated training plans for network administration, usage, and disaster recovery. Acquisition & Deployment • Design and deploy LANs, WANs, and wireless networks, including routers, hubs, switches, firewalls, UPSs, and other hardware. • Conduct research on network products, services, protocols, and standards to remain abreast of developments in the networking industry. • Oversee new and existing equipment, hardware, and software upgrades. • Interact and negotiate with vendors, outsourcers, and contractors to secure network products and services. Operational Management • Configure networks to ensure their smooth and reliable operation for fulfilling objectives and processes. • Monitor network performance and troubleshoot problem areas as needed. • Ensure network connectivity of all servers, workstations, telephony equipment, fax machines, and other network appliances. • Practice network asset management, including maintenance of network component inventory and related documentation and technical specifications information. • Monitor and test network performance and provide network performance statistics and reports. • Participate in managing all network security solutions. POSITION REQUIREMENT (Knowledge & Experience): • Proven experience and success with LAN, WAN, WLAN, and WWAN design and implementation. • Proven experience with Cisco ASA and Firepower firewalls, Palo Alto firewalls, Cisco Nexus and Catalyst switches, Juniper switches, Cisco AIR and Catalyst Wifi. • Proven experience with network capacity planning, network security principles, and general network management best practices. • Proven experience with VOIP phone systems. • Excellent hardware troubleshooting experience. • Competence with testing tools and procedures for voice and data circuits. • Good understanding of the organization’s goals and objectives. • Knowledge of applicable data privacy practices and laws. • Strong interpersonal, written, and oral communication skills. • Able to conduct research into networking issues and products as required. • Ability to present ideas in user-friendly language. • Highly self motivated and directed, with keen attention to detail. • Proven analytical and problem-solving abilities. • Able to effectively prioritize tasks in a high-pressure environment. • Strong customer service orientation. • Experience working in a team-oriented, collaborative environment. REQUIRED EDUCATION/ CERTIFICATION: • The Network Engineer will have a bachelor’s degree or, an associate’s degree with 4 years of related experience, or 6 years related experience

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Role Definition Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. Responsibilities Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Skill Descriptors Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: Explains the basic decision process associated with specific statistics. Works with basic statistical functions on a spreadsheet or a calculator. Explains reasons for common statistical errors, misinterpretations, and misrepresentations. Describes characteristics of sample size, normal distributions, and standard deviation. Generates and interprets basic statistical data. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: Evaluates and makes contributions to best practices. Processes large quantities of detailed information with high levels of accuracy. Productively balances speed and accuracy. Employs techniques for motivating personnel to meet or exceed accuracy goals. Implements a variety of cross-checking approaches and mechanisms. Demonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. Utilizes specific tools and techniques to process descriptive and inferential statistics. Applies specific computing languages and tools in machine learning, such as R and Python. Explores to use machine learning in one own areas to make business improvements. Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: Participates in the implementation and support of specialized programming languages. Conducts basic reviews on writing a specific programming language within a specific platform. Assists with the design and development of specialized programming languages. Follows an organization's standards, policies and guidelines for structured programming specifications. Diagnoses and reports minor or routine programming language problems. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Extensive Experience: Writes, debugs and implements complex queries involving multiple tables or databases. Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages). Teaches others about query optimization techniques and facilities. Consults on query optimization, interactive queries, testing and verification. Evaluates all major database access tools and functions for distributed databases. Compares and contrasts the benefits and drawbacks of various SQL products. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis. Relocation is available for this position. Posting Dates: August 7, 2025 - August 21, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

JOB TITLE: Conversion Officer LOCATION: Gujarat, Remote ­­­­­­­­­­­­­­­­­ Job Description: As a Conversion Officer, you will play a pivotal role in supporting Regional Heads / their proxies across different territories in converting applications to paid students. This role requires a dynamic individual with strong communication skills, both written and spoken and a keen attention to detail. Operating in a desk-based environment, you will collaborate closely with Sales teams (or as designated) to ensure a smooth transition of potential students to enrolment phase, and beyond. You will be ensuring a connected and seamless experience for prospective students throughout their journey. As a valuable member of a high-performing team, you will contribute to the overall effective service delivery by providing top-quality admissions support to applicants, agents, and academic decision-makers, all while adhering to established standards. This dynamic role encompasses various tasks related to university admissions. Duties and Responsibilities: Maintain a Healthy Pipeline: Pipeline drill with BD and their agents to discuss application status. Conduct regular checks to ensure applications are progressing within expected timelines and address any delays. Ensure the application pipeline is accurate and up to date, with correct statuses (change stages without waiting for BDs (but after taking inputs from them); to avoid delay in application processing and adherence to processes by BDMs Support Application Progression: Collaborate with BDMs to ensure every application moves smoothly through the process and reaches the visa stage. Assist the BD Teams for release of offers, interview links, delays from Admission / Visa teams or for any other application related issues involving Admissions/Visa teams Close previous intake applications: Follow up with BD Teams for closure of past intake applications Provide CRM/refresher training to new joiners or agents if required Document Collection & Follow-ups: Engage with agents/students for pending documents to facilitate conversion from COL to UCOL Engage with agents / students to ensure collection of visa documents as per the regional checklist Uploading documents – CO may upload the documents to help BDMs while they travel. Documents received on email are recommended Regular calling to agents/students for documents follow up on COL/Visa stage Assessment of documents at Visa stage: Ensuring all documents are received as per the regional checklist Conduct a detailed assessment of documents at Visa stage for correctness as per the visa requirements of their territories Forward the documents to the Compliance team for final review and coordinate for release of Visa letter Deadline communication: regular forwarding of deadlines to agents and BD Team to ensure timely submission of application and documents Updating Notes on CRM, post conversation with agent/student with a summary Pipeline Tracking & Reporting: Monitor pipeline progress for each brand and team member, generate reports, and share insights with RMs and Heads. Communication: Ensure all important updates or new communications are promptly shared with BDMs if not already communicated by DMs or Heads. Maintain a follow up on the refund cases raised by the BD teams Innovative approach: predicting issues, resolving issues with a proactive approach. Essential Criteria: Undergraduate/bachelor’s degree or equivalent. Experience in Overseas Education industry Strong attention to detail. Excel and data statistics tools such as pivot table or v-lookups Excellent communication skills, both written and spoken in English. Ability to manage a diverse workload independently and as part of a team. Enjoys following and improving processes. A cool and calm temperament Ability to multitask and handle pressures Desirable Criteria: Knowledge of CRM s/w such as Zoho or SalesForce Experience of working or studying abroad Join us on this exciting journey! To know our Privacy Policy, please click on the link below or copy paste the URL on your browser: https://gedu.global/wp-content/uploads/2023/09/GEDU-Privacy-Policy-22092023-V2.0-1.pdf

*Need Immediate joiners only Position: Data Scientist Location: Gurugram Work Mode: Hybrid Setup 8-10 years (try at least 5 years relevant) AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. More on traditional machine learning with cloud aws exposure Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines Good communication skills Hands on Python Coding

Looking for Manager/ Senior Manager Analytics & MIS Location - Bangalore (Jakkur) | 5 days Work from office. Preferred - Candidate from Retail Background Responsibilities Lead and motivate a team of analysts and MIS professionals, set goals, and provide guidance. Create and execute an analytics and MIS strategy to meet business goals. Supervise the collection and analysis of data from multiple sources, including internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities. Work with cross-functional teams to define KPIs and create dashboards and reports to track performance. Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth. Collaborate with IT teams to optimize data infrastructure, systems, and tools for efficient data collection, storage, and analysis. Drive data governance initiatives by setting data quality standards, verifying data accuracy, and applying data security protocols. Communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations. Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation. Stay updated about industry trends and advancements in analytics tools to improve data analysis. Skills and Competencies Strong leadership and management capabilities, demonstrating the capacity to effectively motivate and inspire a team. Experience with data analysis and visualization tools like SQL, Excel, Tableau, and Power BI. Proficient in automation programming languages such as Python, Ruby, and Java. Excellent analytical and problem-solving skills, with a strong attention to detail. In-depth knowledge of statistical analysis techniques and methodologies. Proficiency in data modelling and data manipulation. Strong business acumen and the ability to connect data insights to business objectives. Excellent communication and presentation skills, with a proven ability to distil complex data into clear and actionable insights. Capable of managing multiple priorities and meeting deadlines in a fast- paced and dynamic environment. Experience working with large datasets and using statistical analysis techniques. Qualifications Bachelor's degree in Mathematics, Statistics, Economics, or Computer Science. Master's degree preferred. At least 8 to 12 yrs years of experience in analytics or a related field, including 2 years in a leadership role. Knowledge of programming languages such as Python or R is mandatory. Certification in analytics tools or methods is beneficial.

Key Responsibilities Partner with product managers, engineers, and business stakeholders to define KPIs and success metrics for Creator Success Create comprehensive dashboards and self-service analytics tools using QuickSight, Tableau, or similar BI platforms Perform deep-dive analysis on customer behavior, content performance, and livestream engagement patterns Design, build, and maintain robust ETL/ELT pipelines to process large volumes of streaming and batch data from Creator Success platform Develop and optimize data warehouses, data lakes, and real-time analytics systems using AWS services (Redshift, S3, Kinesis, EMR, Glue) Implement data quality frameworks and monitoring systems to ensure data accuracy and reliability Build automated data validation and alerting mechanisms for critical business metrics Generate actionable insights from complex datasets to drive product roadmap and business strategy Required Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field 3+ years of experience in business intelligence/analytic roles with proficiency in SQL, Python, and/or Scala Strong experience with AWS cloud services (Redshift, S3, EMR, Glue, Lambda, Kinesis) Expertise in building and optimizing ETL pipelines and data warehousing solutions Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices Collaborative approach with cross-functional teams including product, engineering, and business teams Customer-obsessed mindset with focus on delivering high-quality, actionable insights Non-Negotiable Skills High proficiency in SQL and Python Expertise in building and optimizing ETL pipelines and data warehousing solutions Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices Experience in working with cross-functional teams including product, engineering, and business teams Experience with AWS cloud services (Redshift, S3, EMR) Skills: business intelligence,sql,python,etl

TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Updates and proposes Project objectives in terms of duration and resources Pilots the Project status and to ensure the forecast reliability Job Description Develops a Schedule compliant with the selected execution strategy Plans in order to mitigate risks and reduce costs Proposes the necessary resources (E-P-C-I) Updates and sets up the Planning & Scheduling system (methods, procedures, time-schedules, physical progress, dashboards, etc.) Proposes for the Management, the Proposal Manager and the Estimation Department a Contract duration realistic and feasible for execution Supports to define the Project Breakdown Structures Supports Client approval process of the Schedule Baseline, progress claimed or milestones achievement Increases Project team members’ awareness of the Project Milestones, main durations and critical paths Monitors and controls the project status to detect any delay Estimates the delay linked with changes and claims and to prepare the Extension of Time analysis, in case of delay due to Client Provides Project Feedback and Lessons Learned in order to improve the Planning & Scheduling methods and provide input to the statistics of Planning Department You Are Meant For This Job If Degree in mechanical engineering 2 to 4 years of experience in Project execution Good knowledge of scheduling computer tools (i.e. primavera) Professional English Good knowledge of EPCI work processes and sequences Basic knowledge about the Global Business Process Management System (GBPMS) Ability to identify deviations from standards Solid analytical and problem solving skills Accuracy and attention to details Able to present data and fact in a clear and consistent manner Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.

TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Updates and proposes Project objectives in terms of duration and resources Pilots the Project status and to ensure the forecast reliability Job Description Develops a Schedule compliant with the selected execution strategy Plans in order to mitigate risks and reduce costs Proposes the necessary resources (E-P-C-I) Updates and sets up the Planning & Scheduling system (methods, procedures, time-schedules, physical progress, dashboards, etc.) Proposes for the Management, the Proposal Manager and the Estimation Department a Contract duration realistic and feasible for execution Supports to define the Project Breakdown Structures Supports Client approval process of the Schedule Baseline, progress claimed or milestones achievement Increases Project team members’ awareness of the Project Milestones, main durations and critical paths Monitors and controls the project status to detect any delay Estimates the delay linked with changes and claims and to prepare the Extension of Time analysis, in case of delay due to Client Provides Project Feedback and Lessons Learned in order to improve the Planning & Scheduling methods and provide input to the statistics of Planning Department You Are Meant For This Job If Degree in mechanical engineering 2 to 4 years of experience in Project execution Good knowledge of scheduling computer tools (i.e. primavera) Professional English Good knowledge of EPCI work processes and sequences Basic knowledge about the Global Business Process Management System (GBPMS) Ability to identify deviations from standards Solid analytical and problem solving skills Accuracy and attention to details Able to present data and fact in a clear and consistent manner Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.

TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Updates and proposes Project objectives in terms of duration and resources Pilots the Project status and to ensure the forecast reliability Job Description Develops a Schedule compliant with the selected execution strategy Plans in order to mitigate risks and reduce costs Proposes the necessary resources (E-P-C-I) Updates and sets up the Planning & Scheduling system (methods, procedures, time-schedules, physical progress, dashboards, etc.) Proposes for the Management, the Proposal Manager and the Estimation Department a Contract duration realistic and feasible for execution Supports to define the Project Breakdown Structures Supports Client approval process of the Schedule Baseline, progress claimed or milestones achievement Increases Project team members’ awareness of the Project Milestones, main durations and critical paths Monitors and controls the project status to detect any delay Estimates the delay linked with changes and claims and to prepare the Extension of Time analysis, in case of delay due to Client Provides Project Feedback and Lessons Learned in order to improve the Planning & Scheduling methods and provide input to the statistics of Planning Department You Are Meant For This Job If Degree in mechanical engineering 2 to 4 years of experience in Project execution Good knowledge of scheduling computer tools (i.e. primavera) Professional English Good knowledge of EPCI work processes and sequences Basic knowledge about the Global Business Process Management System (GBPMS) Ability to identify deviations from standards Solid analytical and problem solving skills Accuracy and attention to details Able to present data and fact in a clear and consistent manner Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.

About NomiSo India: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect from Us: We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Let’s make your career great! Position Overview: The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Key Responsibilities Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming months and quarters based on the forecast pipeline Ensure a deep enough understanding of clients’ individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and identify areas for improvement Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines and their impact to revenue realization and cost Delivery governance in the account Monitor and review dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Monitor Leakage across the lifecycle and implement improvements to reduce leakages. Invoicing Ensure accurate, timely submission of invoices and compliance in line with client agreements and internal policies. Provide information required and resolve any invoicing issues raised by the client Monitor and track collections Budgeting, Expense Tracking and Process Optimization Assume responsibility of budgeting and tracking expenses Review and refine operational workflows to reduce inefficiencies and enhance productivity. Reporting Conduct variance analysis to explain deviations between forecasted and actual revenue. Collect and analyze statistics (costs, customer service metrics etc.) Develop dashboards, reports, and KPIs to measure revenue performance and trends. Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. ͏ Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects. Must Have skills: Experience: 6–10 years in Revenue Operations, Sales Operations, or Financial Operations, preferably in the IT/Technology sector. Strong in Excel or equivalent skills Technical Skills: Proficiency in any CRM and analytics tools (Excel Sheet, etc.) including designing reports Strong knowledge of revenue / cost recognition policies and compliance requirements. Exceptional analytical and problem-solving skills, with attention to detail. Proven ability to communicate effectively with cross-functional teams and senior leadership. Qualification: Education: Bachelor’s degree in Finance, Accounting, Business Administration, or a related field (MBA preferred).

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.