564 Modeling Jobs - Page 18

Hiring: Data Engineering Senior Software Engineer / Tech Lead / Senior Tech Lead - Hybrid (3 Days from office) | Shift: 2 PM 11 PM IST - Experience: 5 to 12+ years (based on role & grade) Open Grades/Roles : Senior Software Engineer : 58 Years Tech Lead : 7–10 Years Senior Tech Lead : 10–12+ Years Job Description – Data Engineering Team Core Responsibilities (Common to All Levels) : Design, build and optimize ETL/ELT pipelines using tools like Pentaho , Talend , or similar Work on traditional databases (PostgreSQL, MSSQL, Oracle) and MPP/modern systems (Vertica, Redshift, BigQuery, MongoDB) Collaborate cross-functionally with BI, Finance, Sales, and Marketing teams to define data needs Participate in data modeling (ER/DW/Star schema) , data quality checks , and data integration Implement solutions involving messaging systems (Kafka) , REST APIs , and scheduler tools (Airflow, Autosys, Control-M) Ensure code versioning and documentation standards are followed (Git/Bitbucket) Additional Responsibilities by Grade Senior Software Engineer (5–8 Yrs) : Focus on hands-on development of ETL pipelines, data models, and data inventory Assist in architecture discussions and POCs Good to have: Tableau/Cognos, Python/Perl scripting, GCP exposure Tech Lead (7–10 Yrs) : Lead mid-sized data projects and small teams Decide on ETL strategy (Push Down/Push Up) and performance tuning Strong working knowledge of orchestration tools, resource management, and agile delivery Senior Tech Lead (10–12+ Yrs) : Drive data architecture , infrastructure decisions , and internal framework enhancements Oversee large-scale data ingestion, profiling, and reconciliation across systems Mentoring junior leads and owning stakeholder delivery end-to-end Advantageous: Experience with AdTech/Marketing data , Hadoop ecosystem (Hive, Spark, Sqoop) - Must-Have Skills (All Levels): ETL Tools: Pentaho / Talend / SSIS / Informatica Databases: PostgreSQL, Oracle, MSSQL, Vertica / Redshift / BigQuery Orchestration: Airflow / Autosys / Control-M / JAMS Modeling: Dimensional Modeling, ER Diagrams Scripting: Python or Perl (Preferred) Agile Environment, Git-based Version Control Strong Communication and Documentation

Support the DIC by accomplishing efficient On time Delivery of design release, First time right, and Continual Improvement on skill in Design for Composite parts. Responsibilities Accountabilities Support the DIC by accomplishing efficient On time Delivery of design release, First time right, and Continual Improvement on skill in Design and Analysis. Support the DIC In manging the budget for Engineering department and ensuring that resources are used efficiently. Suggest innovative ideas to reduce cost and improve productivity and efficiency. Control the rejections so as to save costs and produce outputs that are as per specified quality standards and as per customer requirements. Enable customer satisfaction by driving efficiency in internal processes within the department. Ensure appropriate, suitable actions towards customer complaints, so as to facilitate both customer retention as well as identify methods that helps in preventing such breakdowns from recurring. Stress analysis (Composite Metallic) and to checking the detail as per any OEM standards. To work with various analysis types such as linear statics, nonlinear statics (contact, material and large deformation), dynamics (normal modes and cyclic modal). Working knowledge of PATRAN/NASTRAN is most essential requirement. Familiarity with other FEA software will be an advantage Designing of composite parts through Composite Design (CPD) in Catia. Performing FE Modeling (Shell and Solid), FE Analysis for various structural Components. Good exposure on Material properties and allowable. Experience in Hand calculations. Providing design Suggestion /Modification based on failure. Interpreting and understanding FEA results, post-processing and preparing comprehensive analysis reports. Plan and promote continuous improvements in material, machine utilization and process to improve section individual productivity, and quality of the product. Coordinate with the automation team to identify use cases and drive automation / process improvement initiatives within the Section

Job Summary We are seeking a highly skilled Data Scientist with Business analysis with good hands on in Python , SQL , EDA Data Visualization with 3 to 12+ years of experience Key Responsibilities: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and maintain dashboards and reports to visualize key business metrics. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Build and evaluate statistical and machine learning models to support predictive analytics. Translate business problems into analytical frameworks and communicate findings effectively. Must-Have Skills: Proficiency in Python for data manipulation and analysis. Strong knowledge of SQL for querying and managing data. Experience in data analysis and business analytics. Familiarity with machine learning and statistical modelling. Ability to interpret and communicate complex data insights to non-technical stakeholders. Good-to-Have Skills: Experience with data visualization tools. Exposure to Generative AI frameworks and applications. Understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

Responsibilities: Collaborate with design team on concept development Deliver high-quality visuals within project timelines Optimize models for performance and compatibility across platforms

Core Competences Required and Desired Attributes: Bachelor's degree in computer science, Information Technology, or a related field. Proficiency in Azure Data Factory, Azure Databricks and Unity Catalog, Azure SQL Database, and other Azure data services. Strong programming skills in SQL, Python and PySpark languages. Experience in the Asset Management domain would be preferable. Strong proficiency in data analysis and data modelling, with the ability to extract insights from complex data sets. Hands-on experience in Power BI, including creating custom visuals, DAX expressions, and data modelling. Familiarity with Azure Analysis Services, data modelling techniques, and optimization. Experience with data quality and data governance frameworks with an ability to debug, fine tune and optimise large scale data processing jobs. Strong analytical and problem-solving skills, with a keen eye for detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Proactive and self-motivated, with the ability to manage multiple tasks and deliver high-quality results within deadlines. Roles and Responsibilities Core Competences Required and Desired Attributes: Bachelor's degree in computer science, Information Technology, or a related field. Proficiency in Azure Data Factory, Azure Databricks and Unity Catalog, Azure SQL Database, and other Azure data services. Strong programming skills in SQL, Python and PySpark languages. Experience in the Asset Management domain would be preferable. Strong proficiency in data analysis and data modelling, with the ability to extract insights from complex data sets. Hands-on experience in Power BI, including creating custom visuals, DAX expressions, and data modelling. Familiarity with Azure Analysis Services, data modelling techniques, and optimization. Experience with data quality and data governance frameworks with an ability to debug, fine tune and optimise large scale data processing jobs. Strong analytical and problem-solving skills, with a keen eye for detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Proactive and self-motivated, with the ability to manage multiple tasks and deliver high-quality results within deadlines.

vConstruct a Pune based international construction technology company is seeking a Project Engineer for Site Infrastructure with 3-5 years of commercial construction experience. Position Overview Project Engineer Site Infrastructure creates Building Information Models (BIM), i.e., 3D/4D/5D computer models / simulations for commercial construction projects using Virtual Construction and Design (VDC) tools and methods. Minimum Qualifications We are looking for a flexible, detail-oriented team player with the ability to manage multiple tasks, produce quality work, and consistently meet deadlines. The successful candidate will possess: Educational Background : Bachelors degree or higher in any AEC Domain ( preferably Civil/Construction Management ) or closely related field. Prior Work experience : 3+ years of experience in Civil BIM at LOD 350 and above (Model capable of aiding Installation on field). Software Skillset : Proficiency with BIM Authoring and Analysis tools: Expert Knowledge of Autodesk Civil 3D Basic understanding of Revit Suite of products (Revit Architecture, Revit Structure, Revit MEP) Advanced understanding of Civil construction documents with understanding of architectural and structural construction documents. Expert Knowledge of Navisworks Additional Knowledge of 3D AutoCAD based products Additional Knowledge of using Dynamo/other plugins in Revit for solving repetitive problems. Principal Responsibilities Include: Drawing Interpretation: Expert Knowledge in reading Civil and Landscape design drawings. Ability to compare 2D and 3D data between the different versions and identify deviations. Model Authoring: Develop high precision models for majorly Civil and Landscape occasionally per project needs. Read and understand Regional US Building codes and able to translate it into the models. Ability to work with Parametric Revit Families. Ability to work within Autodesk Construction Cloud environment. Produce dimensioned drawings for layout from the models. (Plan and Profile) Quality Checks: Ability to perform various Quality Checks on the Models to validate models for things like: - Model Completeness with respect to design documents - Model Alignment with respect to other trade models - Model Sanity: no duplication of data, no errors and omissions, continuity of systems between the different points of connection. Ability to capture as-built information and compare it with BIM to verify alignment and Quality Checks on construction put in place. Clash Detection and Coordination: Perform Model based coordination amongst different building systems using tools like Navisworks Clash Detection, etc. Engage in BIM coordination meetings between different trades. Suggest solutions to problems and conflicts through accurate interpretation of contract documents and thorough understanding of constructability. Communication and work ethics: Ability to confidently communicate with onsite project teams in meetings to coherently convey project updates, complex issues, etc. Effective participation in team environment A strong work ethic and a can-do attitude. About vConstruct: vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. For more information, please visit www.vconstruct.in About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great thingsgreat teams, great buildings, great relationships—DPR is a truly great company. For more information, please visit www.dpr.com.

Job Title: Lead Data Scientist We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be responsible for leading data-driven projects, mentoring junior data scientists, and guiding the organization in making strategic decisions based on data insights. Key Responsibilities: - Develop and implement advanced statistical models and algorithms to analyze complex data sets. - Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions. - Mentor and oversee a team of data scientists, providing guidance on best practices and techniques in data analysis and modeling. - Communicate findings and insights to stakeholders through presentations, reports, and visualizations. - Stay current with industry trends and emerging technologies in data science and analytics. - Design and implement experiments to validate models and hypotheses. - Ensure the quality and integrity of data throughout the analytic process. Qualifications: - Master's. in Computer Science, Statistics, Mathematics, or a related field. - Proven experience as a Data Scientist, with a strong portfolio of successful projects. - Expertise in programming languages such as Python or R, as well as experience with machine learning frameworks. - Strong knowledge of statistical analysis and modeling techniques. - Excellent problem-solving skills and the ability to work with large and complex data sets. - Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Experience in leading and managing teams is a plus. We offer a competitive salary, comprehensive benefits, and the opportunity to work in a collaborative and innovative environment. If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Roles and Responsibilities Job Title: Lead Data Scientist Roles and Responsibilities: 1. Leading the design and implementation of advanced machine learning models and algorithms to address complex business problems. 2. Collaborating with cross-functional teams to define data strategies and identify opportunities for data-driven decision-making. 3. Overseeing data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling. 4. Mentoring and guiding junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team. 5. Communicating findings and insights to stakeholders through visualizations, presentations, and reports, ensuring clarity and understanding of complex analyses. 6. Staying current with industry trends, tools, and technologies in data science, and applying best practices to enhance team capabilities and project outcomes. 7. Developing and maintaining scalable data pipelines and architectures to support large-scale data processing. 8. Evaluating the performance of statistical models and machine learning algorithms to ensure accuracy and effectiveness in real-world applications. 9. Collaborating with IT and engineering teams to deploy models into production environments and monitor their performance. 10. Contributing to the strategic direction of the data science team and advising leadership on data-driven opportunities and potential risks.

We are looking for an experienced Tableau Developer to design and implement enterprise data warehousing solutions. Expertise in Tableau, Hadoop, and strong communication skills are essential.

Develop and implement solutions within Salesforce Data Cloud, focusing on data-driven insights and integrations. Design, develop, and maintain custom solutions using Apex and Lightning Web Components (LWC). Integrate Salesforce Data Cloud Required Candidate profile 3 years of experience as a Salesforce Developer with a strong focus on Salesforce Data Cloud. Completed 2 successful Salesforce Data Cloud projects. Strong skills in Apex and Lightning Web Components.

As a Junior Design Engineer, you will assist in the design & analysis of PT beams & slabs. This role involves collaborating with senior to develop efficient, cost-effective designs while ensuring compliance with industry standards and regulations.

Recruitment Talent Acquisition Specialist Real Estate: Required Abilities: Speech Recognition The ability to identify and understand the speech of another person. Oral Expression The ability to communicate information and ideas in speaking so others will understand. Oral Comprehension The ability to listen to and understand information and ideas presented through spoken words and sentences. Deductive Reasoning The ability to apply general rules to specific problems to produce answers that make sense. Written Comprehension The ability to read and understand information and ideas presented in writing. Required Work Experience : Recruitment Manager Degree : Bachelor of Business Administration - BBA | Bachelor of Business Studies - BBS Required Knowledge : Administration and Management Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources. Personnel and Human Resources Knowledge of principles and procedures for personnel recruitment, selection, training, compensation and benefits, labor relations and negotiation, and personnel information systems. Clerical Knowledge of administrative and clerical procedures and systems such as word processing, managing files and records, stenography and transcription, designing forms, and other office procedures and terminology. Customer and Personal Service Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction. English Language Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Required Skills : Recruiting Operations, Recruitment Advertising, Recruitment Primary Responsibility : Getting Information Observing, receiving, and otherwise obtaining information from all relevant sources. Communicating with Supervisors, Peers, or Subordinates Providing information to supervisors, co-workers, and subordinates by telephone, in written form, e-mail, or in person. Interacting With Computers Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information. Establishing and Maintaining Interpersonal Relationships Developing constructive and cooperative working relationships with others, and maintaining them over time. Staffing Organizational Units Recruiting, interviewing, selecting, hiring, and promoting employees in an organization.

Skills - Duck Creek Policy, PAS, Policy Centre & Insurance (Property & Casualty) Job Location - Greater Noida, Mumbai, Hyderabad, Bhubaneswar & Pune Experience - 6 - 12 years Description - Candidate should strong experience on Duck Creek Example Platform 7X & 8x. Strong experience with the Duck Creek Example Platform (versions 7.x & 8.x). Extensive experience with Duck Creek Policy. Solid understanding of underwriting, rating, insurance rules, and forms. In-depth knowledge of the policy life cycle and various policy transactions. Proficient in Express 3.0. Hands-on experience working with Example Author, Server, Express, Forms, Rating, Batch Processing, Task Creation, Transact, and Address Validation. Strong understanding of the Duck Creek Policy System and its workflow. Extensive experience in the Property & Casualty (P&C) insurance domain. Expertise in Manuscripts, data models, inheritance models, and Forms. Strong understanding of business and functional requirements, as well as policy workflows within the overall application and project. Ability to accurately interpret client requirements and develop solutions in core areas of Duck Creek Technologies (DCT).

Create high-quality 3D assets (models, textures, renders) for product visualization, Efficient in Autodesk Maya and 3ds Max, Develop photorealistic models with proper UV mapping, Apply textures, shaders & lighting setups, maintain visual consistency.

The Cost Engineer is responsible for complete estimating of products, subassemblies, or components in response to various requests. This role involves directing cost calculations for manufacturing and assemblies, mainly in Electromechanical products. It requires expertise in identifying manufacturing methods, special operations, inspection techniques, and estimating associated costs. The position also includes mentoring junior team members and collaborating with clients to identify cost-reduction opportunities. SKILLS / COMPETENCE: Ability to interpret drawings per customer specifications, including PCBA schematics and Gerber files, as well as identify parts and costs. Teardown Costing & Experience in VAVE Strong knowledge of product cost estimation and a thorough understanding of product cost structures. Proficient in suggesting alternatives supported by detailed study reports. Should have experience in manufacturing and assembly lines, as well as equipment Knowledge in identifying the required acceptance tests and Qualification tests for a product . Strong knowledge in Excel formulas and functions to built the cost models. Basic understanding of experience in mechanical commodities, Plastics, Hardware, etc..

Main Duties : Lead technical design and production of design documents from Schematic to IFC Produce BIM models and sheets with necessary drawings in detail with Revit Provide technical input with materials, details, and specifications. Coordinate with suppliers, contractors for the technical optimization of design. Make sure design is fully integrated with other disciplines through close coordination and proactive design solutions. Support establishing library of standard details and production process for the most efficient delivery. Provide effective design management input, review, consultation and advice to the client, to ensure the full intent of projects are realised. Manage the integration of the design and all related elements into the technical design Provide effective support into the drafting of design guidelines, briefs, and scope of works Ability to effectively manage and prepare all design submissions through the design stages, and managing the change process. Work as part of a multi-discipline development team, to ensure all design efforts are well coordinated and integrated. Drive all design efforts to stated programme and scheduled deliverables, costs and quality. Ensure all designs are aligned to achieving stated and best local, international practices from an Environmental & Sustainability perspective. Responsible for driving excellence in health and safety, ensuring that risks are minimized in the design process. Ensure required quality checking / approval procedures are carried out. Coordinating and liaising on a daily basis internally and on a regular basis with design team to manage options, proposals and recommendations. Support the Design Director and Project Director as required for the overall programme delivery. Ensure possible value engineering ideas are identified to cut costs / time and provide recommendations. Manage and approve all proposed VE options Requirements 3+ years’ experience in major architectural projects, preferably in GCC region. Experience in delivering design package at detailed design level with Revit. Proficiency in modelling and drafting with Revit is required. Degree in architecture, civil engineering, or similar relevant discipline. Excellent leadership skills and ability to delegate and coordinate responsibilities. Strong conflict resolution/management skills. Strong team player with the ability to balance conflicting priorities and take timely decisions. Excellent analytical skills. Excellent communication skills, both written and verbal.

JOB REQUISITES Role Summary Assistant Engineer role is critical in effectively carrying out his/her workload for WSP ME bridges and tunnels projects in iCRC. This individual will be responsible for the delivery of high quality support to Engineers and Senior Engineers for WSP ME bridges and tunnels work. Candidates must have experience in Analysis software such as Midas Civil. Candidates must also have knowledge on CAD and BIM Modeling. This position requires proficiency in Midas Civil, Autodesk software-Revit Responsibilities Analysis and design of the structural components of bridge, tunnels and civil structures Check & ensure the quality of the produced design documents and adhere to contract deadlines Check the drawings as per design and specifications Ensure timely & quality delivery of designs as per the defined standards to the clients Developing design as per latest/other codes Correlation with all the activities in the department coordinated by the Line Manager Extract BIM 3D models for clash analysis and schedule review. Ensure coordination of all model interfaces with Engineers, Senior Engineers and engineers of other disciplines. Ensure all Models, drawings and deliverables are checked to comply with project and company quality standards and BIM requirements. Create Revit families, specifically relevant to bridges & tunnels Key Competencies / Skills Mandatory skills At least 2 years’ experience of working with Bridges design. Experience in the analysis and documentation of bridge engineering works and processes from Feasibility and Design to Implementation and Client Handover. Experience in FEM softwares such as Midas Civil. Knowledge of 3D BIM modelling of bridge structures is compulsory. Knowledge of General BIM Model requirements (i.e., LOD, Naming convention, parametric modelling, etc.). Understanding of BIM Template and processes, BIM Standards and workflow. Use of Common Data Environment for information exchange and Navisworks for clash analysis & resolution. Experience to work in/with other cultures. Have respect for deadlines and achieve targeted results whilst working individually. Essentials: (Midas Civil, Revit Structure, BIM 360/Autodesk Construction Cloud & AutoCAD) Desired skills The successful candidate will be a dynamic, self-motivated individual who will take assigned activities in project work, focused on delivery to the client and technical excellence. The role requires working on a number of projects and becoming involved in design as required by the project. The ability to plan and design deliverables against Engineering standards for each stage of a project is a pre-requisite and training and guidance will be provided where necessary. Cultural awareness, conscientious and an open mind and excellent communication skills are essential requirements for the role. High degree of self-motivation and ability to motivate others. Ability to work under pressure and with minimum of supervision. Qualifications At least B.Eng. (Civil Engineering) with a minimum of 2 to 3 years of relevant experience.

We are seeking experienced Wells Engineers with expertise in Wells Engineering and Operations . As a Wells Engineer, you will provide critical support across our global portfolio by leveraging modeling, analysis, and engineering insights. This position also requires expertise in data analytics and the proven ability to translate data analysis into successful business outcomes. Key Responsibilities Provide comprehensive engineering modeling support for drilling, completions, and well performance areas to the wells team, leveraging in-depth modeling, analysis, and engineering insights. Monitor drilling and completions data rigorously, offering actionable insights and data-driven recommendations to optimize operations. Provide detailed drilling and completions engineering modeling support, including but not limited to Torque & Drag, Hydraulics, Surge & Swab, and Maximum Overpull , utilizing industry-standard software packages. Conduct thorough lookbacks , generate insightful reports and slide decks, and share findings with stakeholders to drive continuous performance improvement. Collaborate closely with global Wells teams to ensure safe and cost-effective operations across all projects. Perform benchmarking analysis using various internal and external data sources, identifying trends and technical comparisons between business units and competitors to highlight areas for improvement. Collaborate closely with stakeholders in Digital teams, business units, and center functions to ensure data quality and utilize analytical tools to report key metrics and performance indicators. Actively explore how Artificial Intelligence (AI) can be effectively utilized within the competitive performance work scope to enhance efficiency and decision-making. Required Qualifications Education: Bachelor's or Master's Degree from a recognized university in Petroleum, Mechanical, Chemical, Civil, or Electrical Engineering with a minimum CGPA of 7.5 and above. Experience: Minimum 5 years of work experience in the Oil and Gas Industry specializing in drilling with exposure to completions. Experience in wells design, drilling operations, directional drilling, performance monitoring and optimization of well performance, performance analysis, and benchmarking. Highly experienced and skilled in running and interpreting drilling/completion models to improve wells performance. In-depth knowledge of basic wells engineering concepts, including drilling techniques, well control, fluids property management, drilling mechanics, and performance monitoring. Strong analytical skills to evaluate critical well design & operating parameters through data and trend analysis. Technical skills to query tabular data models, develop analytical performance reports, and strong motivation to grow new technical capabilities. Strong communication skills and demonstrated ability to work and collaborate effectively with a diverse international workforce in a team environment. Field experience on a rig site as a field engineer, drill-site representative (DSR), or DD/MWD engineer. Experience with industry-standard engineering applications and software such as ERA, WellView, proNova, Corva, and Power BI. Flexibility to work in shifts, with opportunities to leverage flexible work hours.

Job Summary Performance Engineering Manager will manage a strong team of performance analysis engineering professionals. The team is responsible for providing performance projections, performance guidance for architecture and design decisions, performance characterization, analysis and modeling across all major areas of NetApp storage products which includes the hardware platform and various subsystems within Data ONTAP software. Job Requirements • Demonstrated ability to manage multiple, critical projects is required. • A clear understanding of the product development cycle, technical requirements, and project management. • Strong understanding of enterprise hardware/software development and testing processes, preferably in computer server or storage systems, and the role of performance at various stages in these processes. • Strong understanding of performance benchmarks, analysis, and modeling concepts and methodology. • A strong understanding of concepts related to computer architecture, file systems, and storage desirable. • A demonstrated ability to manage professional level employees, many with advanced degrees. • Ability to plan and track multiple concurrent projects covering a wide spectrum of technical areas. • Ability to deal with conflicting agendas, frequent emergencies, and demanding customers. • Proven track record of building and maintaining strong teams. Responsibilities • Manage the performance analysis work for the various concurrent hardware and software projects for product releases. • Ensure that the performance team is influencing product designs to deliver competitive product performance, providing schedule and resource needs for performance-oriented projects, and reporting progress on these projects at engineering review forum. • Work closely with various engineering development teams as well as product marketing teams to help drive performance agenda, understand performance needs for various teams, establish clear objectives and plans, prioritize and coordinate performance team's deliverables for various development projects. • Manage people, capital budget, and lab equipment resources of the Performance Team to ensure maximum productivity. • Manage and drive to resolution critical performance issues and escalations in the field. Coordinate with customer support, field teams, and other engineering teams to provide solutions for complex performance issues at customer sites. • Manage hiring and staffing of the performance team and shape the organization to scale effectively with future growth. • Assist in driving the vision and company-wide performance strategy and leading cross-organizational efforts to meet product competitive and consistent performance goals. Work with others in performance engineering, product management, and partner teams to contribute to performance analysis and improvement roadmap. Education • A Bachelor of Science degree in Electrical Engineering or Computer Science, a Master’s degree, or a PhD; or equivalent experience is required. • A minimum of 8 years of experience as an individual contributor and a minimum of 2 years as a people manager is required.

1.Design and implement end-to-end MDM solutions leveraging IDMC Core MDM microservice capabilities. 2. Develop data models, configure match merge rules, survivorship, and workflow processes within IDMC. 3. Document technical designs, configurations, and operational procedures. 4. Overall 3-6 years of hands-on experience with MDM solutions using IDMC 5. Strong understanding of MDM concepts: data modelling, hierarchy management, match merge, survivorship, and data governance. 6. Proficiency in configuring and deploying MDM workflows, business rules, and integrations within IDMC.

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

Fluency of Ideas The ability to come up with a number of ideas about a topic (the number of ideas is important, not their quality, correctness, or creativity). Oral Expression The ability to communicate information and ideas in speaking so others will understand. Deductive Reasoning The ability to apply general rules to specific problems to produce answers that make sense. Written Comprehension The ability to read and understand information and ideas presented in writing. Oral Comprehension The ability to listen to and understand information and ideas presented through spoken words and sentences. Required Work Experience : Senior Category Manager Degree : Master of Business Administration - MBA | Bachelor of Business Administration - BBA | Master of Commerce - MCom | Bachelor of Commerce - BCom Required Knowledge : English Language Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Customer and Personal Service Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction. Administration and Management Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources. Mathematics Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. Economics and Accounting Knowledge of economic and accounting principles and practices, the financial markets, banking and the analysis and reporting of financial data. Required Skills : Advertising, Promotion, Communication, Interpersonal Skills, Organizational Skills Primary Responsibility : Evaluate the look and feel of websites used in campaigns or layouts, which are sketches or plans for an advertisement Meet with clients to provide marketing or technical advice Initiate market research studies and analyze their findings to understand customer and market opportunities for businesses Develop pricing strategies for products or services marketed to the target customers of a firm

Acentra delivers a broad range of healthinformation technology enterprise solutions and customizable products to adiverse base of state and federal agencies. We align, build, and manageinnovative, high-quality, cost-effective solutions that help customers achievetheir mission, enhance business performance, reduce costs, and improve thehealth of over 50 million Americans. With locations throughout the U.S. and inIndia, Acentra employs a world-class team of technologists, healthcaresubject-matter experts, and program managers, all of whom have experience withlarge-scale mission-critical information technology implementations. Innovation and commitment to our missionare core to our DNA. And through our shared values, we foster an environment ofinclusion, empowerment, accountability, and fun! About the Job This position is for a Machine Learningexpert who is responsible for successful delivery of Acentra Health'stechnology initiatives. Candidates for this role will be working at theintersection of data science and software engineering, building, deploying, andoptimizing machine learning (ML) models and pipelines, with a strong emphasison large language models (LLMs), generative AI (GenAI), and natural languageprocessing (NLP). Will help improve patient outcomes and drive innovation andefficiency in healthcare. What you will do Design, develop, and implement ML models and algorithms to solvehealthcare-related problems, such as disease prediction, patient riskstratification, clinical decision support, and personalized medicine Exploreand implement state-of-the-art ML techniques, including supervised andunsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and dataaugmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics andmethodologies, ensuring robustness, accuracy, and reliability Interpretand communicate model results to domain experts and stakeholders, providingactionable insights and recommendations Optimize models for performance, scalability, and real-timepredictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundationmodels to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensurereproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learningnew technologies, best practices, and company culture Collaborate with cross-functional teams, including datascientists, clinicians, researchers, and product managers, to translatebusiness requirements into technical solutions Stayabreast of the latest advancements in ML, AI, LLMs, healthcare informatics, andregulatory landscape to inform decision-making and drive innovation Who you are: Education : Bachelors degree in computer science, data science, or a relatedfield. 2+ Provenexperience and success as an ML Engineer. Technicalskills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Provenexperience successfully developing and deploying ML algorithms, statisticalanalysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Goodto have familiarity with healthcare data standards (e.g., HL7, FHIR),electronic health records (EHR), medical imaging formats (DICOM), and relevanthealthcare regulations (e.g., HIPAA) is highly desirable

You are responsible for adhering to the defined operating procedures and guidelines in operating the application security services in the Managed Services model, which includes the following: o Understand and be compliant with the Service Level Agreements defined for the DevSecOps services; o Understand and deep knowledge of application security engineering principles, and helping clients development team and function to follow secure development practices which includes primarily monitoring and performing the security design review, architecture review, threat modeling, security testing, secure code review, secure build processes; o Well versed with the application deployment and configuration baselines, and understanding of how the application environment operates in a secure environment and how exceptions are handled during operations; o Facilitate use of technology-based tools or methodologies to continuously improve the monitoring, management and reliability of the service; o Perform manual and automated security assessment of the applications; o Involved in triaging and defect tracking process with the development team and helping the team to fix issues at the code level based on the priority of the tickets; o Be a liaison between the Application development and infrastructure team, and integrate the processes between infrastructure monitoring and operations processes with the secure development/testing and management processes; o Identifying, researching and analyzing application security events which may include emerging and existing persistent threats to the client's environment; and o Performing active monitoring and tracking of application related threat actors and tactics, techniques and procedures (TTPs), that could likely cause an impact to client organization

SUMMARY Data Modeling Professional Location Hyderabad/Pune Experience: The ideal candidate should possess at least 6 years of relevant experience in data modeling with proficiency in SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) along with GCP. Key Responsibilities: Develop and configure data pipelines across various platforms and technologies. Write complex SQL queries for data analysis on databases such as SQL Server, Oracle, and HIVE. Create solutions to support AI/ML models and generative AI. Work independently on specialized assignments within project deliverables. Provide solutions and tools to enhance engineering efficiencies. Design processes, systems, and operational models for end-to-end execution of data pipelines. Preferred Skills: Experience with GCP, particularly Airflow, Dataproc, and Big Query, is advantageous. Requirements Requirements: Strong problem-solving and analytical abilities. Excellent communication and presentation skills. Ability to deliver high-quality materials against tight deadlines. Effective under pressure with rapidly changing priorities. Note: The ability to communicate efficiently at a global level is paramount. --- Minimum 6 years of experience in data modeling with SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools). Proficiency in writing complex SQL queries for data analysis. Experience with GCP, particularly Airflow, Dataproc, and Big Query, is an advantage. Strong problem-solving and analytical abilities. Excellent communication and presentation skills. Ability to work effectively under pressure with rapidly changing priorities.