40 Model Building Jobs

Required Education and Experience 5-8 years relevant work experience Bachelors or Masters in Computer Science Engineering or relevant. A minimum of 4 years working experience developing in Java Interest in working with graphs (nodes and edges), 3D emulative models, complex software, in a challenging domain Experience in working with Git (Bitbucket), SVN or other distributed source control systems Preferred Qualification (Any of the following additional experience are a plus) Software development within various industrial environments like baggage handling, Warehouse Control/Execution software or equivalent Familiarity with the logistic process industry Experienced in working with Atlassian tools (JIRA, Confluence, etc.) or other applications supporting Agile environment Working knowledge of multiple Java IDEs like IntelliJ Experience working with colleagues located in different parts of the world Solid experience with model building, requirements specification, able to turn abstract concepts into model requirements Knowledge-Skills-Abilities (Competencies) Strong analytical and problem-solving skills Strong communication skills (written and verbal) in English Very good interpersonal skills (team player, and enjoys helping the team grow) Able to handle own planning and align with project team and adapt to deadline-shifts with ease Be able to contribute to the onboarding process of additional team members Ability to work in a fast-paced operational environment with competing priorities and multiple stakeholders Strong analytical abilities, and able to put forward recommendations and solutions Fast learner with curiosity and strong inquiry skills Willing to travel occasionally

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities:1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills:1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information:1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. Qualification 15 years full time education

Urgent Requirement for Anaplan. Experience:3+ Years Location:Pan India. Must have Anaplan Level 3 model builder certification Must have a Minimum of 3 years of experience as Anaplan model building (at least one completed Anaplan project implementation experience) Experience with direct interaction with clients in collecting business requirements and performing design validation Experience with creating test plans, test cases, and executing test cases Experience with FP&A process preferred Strong communication skills, including documentation, email communication, and creating presentations Strong understanding of the Revenue, Expense, Incentive and Compensation and Headcount planning/forecasting modeling expertise Experience in designing and building Anaplan models and modules to address business planning and forecasting requirements on financial planning and analysis (FP&A) Experience with developing complex calculations, data imports, exports, and integration workflows while adhering to Anaplan best practices.

Purpose: Translate stakeholder requirements into comprehensive Anaplan models, utilising best practice to ensure scalability and efficiency Document model schemas, logic and rules clearly for other model builders, as well as end user processes, instructions and definitions for stakeholders Ensure the ongoing maintenance and governance of Anaplan models, including data integrity and availability, user access, and quality assurance. Provide end user support and issue resolution in a timely and effective manner, working with colleagues with the Anaplan Centre of Excellence to prioritise and address critical bugs and requested enhancements. Key Accountabilities: Designing, implementing and maintaining/optimising Anaplan models in line with best practice (scalable, sustainable, efficient) Provide end user support through change requests, capability uplift to enable self-service, and training support Stay across new developments within the Anaplan platform, including new feature releases, and proactively use your expertise to share knowledge, improve model quality and uplift end user experience Advanced data analysis and modelling, converting analysis into insights and recommendations Develop appropriate materials to communicate and present opportunities for relevant stakeholders Identifying and actively pursuing opportunities to improve capacity planning solutions across the Enterprise Creating requirements, solution design, delivery and functional documentations Conducting discovery sessions, sprint planning, stakeholder engagement, risk management and delivery of outputs within timeframes Essential Requirements Experienced Anaplan model builder - certified Analytical mindset and problem-solving skills Excellent communication, collaborate effectively Continuous learning mindset Risk awareness and governance Ability to work independently and self-manage multiple deadlines Understanding of hybrid agile methodologies Knowledge of other coding languages would be advantageous e.g. Python, SQL Experience in building reporting solutions in Power BI

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

What will your day look like? - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Responsibilities: * Design, develop, and maintain Anaplan models using best practices * Collaborate with stakeholders on model requirements and testing * Ensure data integrity through proper data management techniques

4+ years of Anaplan model building experience (Anaplan L3 or Solution Architect Certification) Strong technical background in consulting, finance, or software implementation. Expertise in building, troubleshooting complex multidimensional models. Required Candidate profile Exp in stakeholder management. Knowledge of data architecture, cross-platform integration. Exp in Anaplan FP&A Implementation. Strong Communication Skills Apply on - thak.priyanka@exponent.com.sg

Skill - Anaplan Model Builder Development Exp- 6-9 yrs Location - Bangalore / Hyderabad / Gurgaon / Mumbai / Chennai / Pune/ Kolkata Must Have Implementation Exp Required: Anaplan Level 1 & Level 2 Certified 3-14 years of experience in Anaplan implementations Hands-on Anaplan experience of building lists, data loading, dashboards/new UX pages and creating complex calculations to cater custom planning Ability to translate Excel based solution to a multi-dimensional Anaplan model Experience interacting with Business Users to understand functional requirements and convert them to technical user stories Must have experience and expertise in Data modeling Data Integration Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, training materials and administration guides

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Job Title: Anaplan Implementation Developer Location: PAN INDIA Experience: 3+ years in Anaplan implementation Job Type: Full-time Work Mode: Hybrid Job Summary: We are looking for an experienced Anaplan Implementation Developer who will be responsible for designing, building, and deploying Anaplan models that support business planning and forecasting functions across the organization. The ideal candidate should have hands-on experience with end-to-end Anaplan implementations and strong skills in model building, data integration, and stakeholder communication. Anaplan Model Builder with Implementation experience. L1,L2 L3 certifications is good to have Key Responsibilities: Collaborate with business stakeholders to gather and analyze planning requirements. Design Anaplan models that align with business goals and translate use cases into functional models. Build and maintain Anaplan models using best practices in model structure, performance optimization, and modularity. Develop user interfaces including dashboards, modules, and reports. Integrate Anaplan with external data sources (via Anaplan Connect, APIs, or middleware tools like Informatica, MuleSoft, etc.). Provide technical guidance to users and support ongoing Anaplan enhancements. Conduct unit and system testing; assist with user acceptance testing. Ensure model security, performance tuning, and version control are in place. Train end-users and provide documentation. Required Skills & Experience: Minimum 3 years of experience in Anaplan model building and implementation. Certified Anaplan Model Builder (Solution Architect certification is a plus). Strong understanding of Connected Planning concepts. Proficient in Anaplan formulas, modules, dashboards, and UX. Experience in integrating Anaplan with upstream/downstream systems. Solid understanding of data modeling, data transformation, and automation. Ability to work in Agile environments and collaborate with cross-functional teams. Excellent communication and problem-solving skills. Preferred Qualifications: Prior experience in Finance, Supply Chain, or Sales Planning projects using Anaplan. Knowledge of Anaplan ALM (Application Lifecycle Management). Familiarity with SQL, Excel VBA, or scripting tools.

Preferred candidate profile Seeking an experienced Anaplan Architect to join our Financial Planning & Analysis (FP&A) team. This Manager or Senior Analyst will be pivotal in building and maintaining our Anaplan platform to support our financial planning, forecasting, and reporting processes. The ideal candidate is Solution Architect certified with a high degree of technical expertise within the Anaplan platform. Role & responsibilities Support our Anaplan lead in model development and UX page design Adhere to established best practice methodologies for building and maintaining solutions within the Anaplan platform Document business user requirements and summarize into actionable implementation outcomes Support the teams expense forecasting and planning processes through the preparation and review of reporting for various stakeholders across the firm Act as the overall liaison and escalation point between offshore and onshore FP&A team, ensuring accuracy and completeness of deliverables Participate in regular status calls with the FP&A team to update on status of deliverables and align on key priorities Identify and implement process improvements Qualifications: 5+ years of experience Bachelor's degree required Experience with FP&A or financial modeling 2+ years of demonstrated experience working within Anaplan Strong written and verbal communication skills Excellent analytical, organizational, and problem-solving skills Ability to effectively prioritize, multitask and independently manage workloads Strong proficiency in Microsoft Excel and PowerPoint Strong technical & modeling skills

TCS C2H POSITION ANAPLAN MODULER PAN INDIA ANY LOCATION. EXPERIANCE-4-20 YEARS SKILLS: Anaplan Certified Model Builder Anaplanmodel building experience is must and having exposure to other EPM technology for e.g., SAP BPC, SAP SAC, Oracle Hyperion, Microsoft Dynamics etc. will be an added advantage. Understanding of the forecasting process and various business functions (Sales, operations, Finance, etc.) Good understanding of Planning Budgeting & Forecasting is must Ability to collaborate effectively and work as part of a team Strong attention to detail Critical thinking and Analytical problem-solving skills Project management certifications, agile certifications will be an added advantage PLEASE SHARE ME CVS EMERGENCY REQUIEMENT BHAVANI@COVENTINE.COM 7995348267 WHATPP NUMBER AND CALL ME Divya@coventine.com

Designation CAE Analyst- Durability (Structural) Experience -3 to 6 Years Education - BE/B. Tech/ME/M. Tech Job Location-Chennai N/P- Imm. /15days/30 days /45 days /90 Days Please find the JD as below - I. Bachelors or masters in mechanical / Automobile Engineering with knowledge of automobile parts having total experience of 3 to 5 years in automotive NVH CAE domain II. Should have minimum 6000 Hours work experience in CAE Pre-Post & solver using ANSA / NASTRAN / ABAQUS / META is must. III. Experience in complete ICE & Electrical powertrain / driveline system model build [including hex/tet mesh] including connections, mechanisms / assembly, contacts etc. independently. IV. Experience in analysis and post processing of different powertrain specific loadcases like normal mode, FRF, LDS, rigid body mode decoupling, vibro-acoustic analysis etc as per client requirements / methods without any supervision. V. Able to validate correctness of CAE results and proceed for evaluations, finding Issue, Root cause and propose Design solutions for NVH simulations as per Client requirements. VI. Preferred to have experience in handling BIW / TBIW / Full vehicle NVH CAE models & basic load cases. VII. Should have good theoretical knowledge of NVH concepts & finite element analysis. VIII. Preference for cross domain basic knowledge of Crash and Durability. IX. Preferred to have experience in handling/guiding small team with size 3 or more. X. Sound knowledge of fundamental physics & engineering principles XI. Strong Analytical, Logical, written, communication & presentation skill I. Create and validate the NVH CAE system / assembly model for complete powertrain system for ICE & electrical vehicles II. Debug and Solve CAE calculations of powertrain & with full vehicle automotive system III. Able to validate correctness of CAE results & Proceed Evaluations IV. Finding issue, Rootcause, Mechanism and propose feasible solutions V. Deliver analysis results to the reporting project Leader/Team leader VI. Following the best practice methods VII. Support the technical requirements to the satisfaction of the client for NVH Domain VIII. Help in creation of Knowledge Management Documents with support from the technical specialist if required. IX. Enhance client relationships with technical guidance in the NVH Domain C. KEY SKILLS ESSENTIAL SKILLS I. Good knowledge of automotive modeling II. Good Knowledge of Model building using ANSA III. Knowledge of Nastran / Abaqus solver NVH (Powertrain) IV. Good knowledge of META for post processing & result interpretation V. Knowledge about typical Finite Elements. VI. Knowledge in FE model Quality criteria VII. Prepare standard reports with CAE solutions / recommendations. DESIRABLE SKILLS I. Knowledge in Automotive Systems: Powertrain [ICE/ Electric] / Vehicle Structure II. Knowledge in building FE without CAD III. Knowledge in modifying the FE mesh for alternative design IV. Knowledge in updating trim body and debug for NVH SOFTWARE SKILLS ANSA / META / NASTRAN / ABAQUS / CATIA

We're Hiring: Anaplan Model Builder Locations: Bangalore | Hyderabad | Mumbai | Gurgaon | Pune | Chennai | Kolkata Experience: 69 Years Work Model: Hybrid (3 days from office/week) Level: Senior Consultant Qualification: B.E/B.Tech/MCA/M.Sc/MS Key Mandates: 5+ years of relevant Anaplan experience Expertise in Anaplan logic writing & solid database concepts Strong ability to design reports/dashboards aligned with business needs Exposure to tools like Hyperion, SAP BPC, Cognos TM1, Tableau, Microsoft Access Strong communication and solution-oriented mindset

We're Hiring: Anaplan Model Builder Senior Consultant Locations: Bangalore | Hyderabad | Mumbai | Gurgaon | Pune | Chennai | Kolkata Experience: 6–9 Years Work Model: Hybrid (3 days from office/week) Level: Senior Consultant Qualification: B.E/B.Tech/MCA/M.Sc/MS Key Mandates: 5+ years of relevant Anaplan experience Expertise in Anaplan logic writing & solid database concepts Strong ability to design reports/dashboards aligned with business needs Exposure to tools like Hyperion, SAP BPC, Cognos TM1, Tableau, Microsoft Access Strong communication and solution-oriented mindset

Skill- Epic - Anaplan model builder Exp- 5 -13 yrs Level - Sr Consultant Location - Bengaluru, Hyderabad, Mumbai, Gurugram, Chennai, Kolkata, Pune Work Mode - Hybrid (2 days WFO in a week) Education: Anaplan Level 1 & Level 2 Certified 3+-10 years of experience in Anaplan implementations Hands-on Anaplan experience of building lists, data loading, dashboards/new UX pages and creating complex calculations to cater custom planning Ability to translate Excel based solution to a multi-dimensional Anaplan model Experience interacting with Business Users to understand functional requirements and convert them to technical user stories Must have experience and expertise in Data modeling Data Integration Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, training materials and administration guides Preferred: Anaplan Certified Master Anaplanner or Solution Architect Experience building Anaplan models that will package specific planning processes (e.g., financial planning and forecasting, workforce planning, S&OP etc.) Deep understanding of functional aspects of planning processes across functions (finance, supply chain etc.,) Hands on experience on Anaplan Connect or other integration tools Knowledge of Agile implementation methodology, and understanding of software development best practices

- Hands-on experience with Jupyter Notebooks, Google Colab, Git & GitHub .- Solid understanding of Data Visualization Tools and Dashboard Creation. - Prior teaching/training experience (online/offline) is a plus .- Excellent communication and presentati

Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals. Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly. For more information, visit www.axtria.com. Job Title: - Gen AI Experts ( Open across levels – Senior Associate to Associate Director) Job Location: -Gurgaon/Bangalore/Pune/Hyderabad Job Responsibilities: - Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR - Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college Must have Skills: - Require 3-15 years experience to develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

Responsibilities: Collect, clean, and analyze large sets of structured and unstructured data to extract meaningful insights and trends Develop and implement advanced machine learning algorithms to solve complex business problems Support moving models to production, by creating high quality code modules that can be seamlessly integrated into existing systems (both on-prem and cloud) Communicate complex findings to both technical and non-technical audiences through effective data visualization and storytelling. Collaborate with cross-functional teams to identify data-driven opportunities and translate business requirements into actionable data solutions. Support the development and maintenance of data pipelines and infrastructure Stay up-to-date with industry trends and advancements in Data Science and Machine Learning technologies. Skills Required: Strong foundation in statistics, and machine learning algorithms Strong proficiency in programming languages like Python and SQL. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Should have built production models using at least 2 of the ML techniques: Clustering, Regression, Classification Experience in Banking & Financial Services is preferred. Experience working on cloud platforms (e.g., AWS, GCP) is preferred. A passion for data and a curiosity to explore new trends and technologies

Hi all, We are hiring for the role Data Scientist AI ML Experience: 6 -9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Jole: Anaplan Solution Architect Location: Office in Navi Mumbai (with frequent travels as required) Job Nature-Full Time Experience : 6+ years of experience in designing and implementing Anaplan solutions, with a focus on FP&A and Supply Chain Planning. . Skills and Qualifications: Certification : Anaplan Certified Solution Architect or Certified Master Anaplanner Degree Bachelor’s degree in Business, Technology or Finance, or a similar analytics related field Experience: Minimum of 5+ years of experience in designing and implementing Anaplan solutions, with a focus on FP&A and Supply Chain Planning. Technical Skills Proficiency in Anaplan model building, including complex multi-dimensional models, data integration using APIs, and model optimization. Strong understanding of financial planning and supply chain processes and the ability to translate them into Anaplan solutions. Experience with Anaplan’s Application Lifecycle Management (ALM) and UX is a plus. Analytical Skills: Great problem-solving abilities, with attention to detail and a passion for data-driven decision-making.