AI/ML Solutions, Hands-on experience in Deep Learning, RAG, LLMs, AI offerings on Cloud (GCP, Azure, AWS), DBMS like SQL, NoSQL,

About this opportunity: Ericsson welcomes applications for the role of Integration Engineer. This key position is instrumental in managing our integration services. Accurately preparing, implementing, and executing test cases to verify the configuration and integration of a node/network/system is a main responsibility of the role. By adhering to group directives and local and global Environmental and Occupational Health and Safety (E+OHS), our Integration Engineers play a pivotal role in upholding our commitment to data security and privacy. What you will do: - You will prepare, collect, and validate scripts and configurations with an emphasis on accuracy. - Perform execution of test cases, ensuring quality results at the first attempt. - Undertake troubleshooting to diagnose issues, making correct adjustments or escalating problems when necessary. - Carry out integration and migration tasks, adhering to the process framework and meeting contractual obligations. - Ensure that operating systems, hardware, software, licenses, and configuration data are available in the correct format and version. - Manage exit criteria to support revenue recognition and enhance customer value. - Drive changes to processes and methods associated with integration activities to improve efficiency and quality of delivery. The skills you bring: - Consultative Skills. - Change and Improvement Management. - Automation. - Troubleshooting skills. - Process Management. - Service Delivery Business Understanding. - Service Improvement. - Data Analytics. - Artificial Intelligence (AI). - Customer Insights. - Ericsson Portfolio. - Stakeholder Management.

About this opportunity: Ericsson welcomes applications for the role of Integration Engineer. This key position is instrumental in managing our integration services. Accurately preparing, implementing, and executing test cases to verify the configuration and integration of a node/network/system is a main responsibility of the role. By adhering to group directives and local and global Environmental and Occupational Health and Safety (E+OHS), our Integration Engineers play a pivotal role in upholding our commitment to data security and privacy. What you will do: - You will prepare, collect, and validate scripts and configurations with an emphasis on accuracy. - Perform execution of test cases, ensuring quality results at the first attempt. - Undertake troubleshooting to diagnose issues, making correct adjustments or escalating problems when necessary. - Carry out integration and migration tasks, adhering to the process framework and meeting contractual obligations. - Ensure that operating systems, hardware, software, licenses, and configuration data are available in the correct format and version. - Manage exit criteria to support revenue recognition and enhance customer value. - Drive changes to processes and methods associated with integration activities to improve efficiency and quality of delivery. The skills you bring: - Consultative Skills. - Change and Improvement Management. - Automation. - Troubleshooting skills. - Process Management. - Service Delivery Business Understanding. - Service Improvement. - Data Analytics. - Artificial Intelligence (AI). - Customer Insights. - Ericsson Portfolio. - Stakeholder Management.

: 2025-06-03 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Overview: Looking for the Fullstack developer who has good experience in React.Js and .Net API Development and Integration. Should have good written and oral communication skills with understanding of Agile Environment. He/ She should be able to work closely with counterpart seamlessly. Position: Senior Lead Software Developer Primary Responsibilities: Should have 6+ years of experience in the design and development of Front End Technologies. Must have strong experience in React JS , .Net framework and SQL Server Strong knowledge of HTML5, CSS3, Less/Sass, JavaScript, ES6. Must have strong experience in unit testing in React JS, .Net framework Good to have hands-on experience in Typescript Experience in developing real-time, high-performing, user-friendly, dynamic, and responsive front-end applications. Should have experience in consuming REST / SOAP services. Should have experience in build and deploy. Should have good knowledge of project life cycle. Hands-on experience with source control & release management systems such as GitHub. Must be able to conduct and assist in design and development reviews. Being a team player that can deliver in a high-pressure and high demanding environment. Very good understanding of various SDLC processes including Agile development and Waterfall. Ability to communicate in a precise and effective manner (verbal and written). Quick learner and excellent analytical skills. Good to have Avionics domain experience. Basic Qualifications: Bachelors/Masters degree in Engineering/MCA Primary Skills: React JS , .Net , HTML , Java Script , SQL Server AWS Cloud development Experience API Integration Experience SVN/GitHub About Collins Aerospace . Digital Technology Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies? Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there s no better place to be right now than in digital. If you re an agile thinker who enjoys utilizing modern technology to make big improvements, then you re a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today! WE ARE REDEFINING AEROSPACE. *Please consider the following role type definitions as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. . . . Some of our competitive benefits package includes: Benefits package includes: - Meal coupons - Group Term Life Insurance. - Group Health Insurance. - Group Personal Accident Insurance. - Entitled for 18 days of vacation and 12 days of contingency leave annually. - Employee scholar programme. - Work life balance. - Car lease programme. - National Pension Scheme - LTA - Fuel & Maintenance /Driver wages - Meal vouchers Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. Note: Background check and drug screen required (every external new hire in the India) Drug Screen only performed for Operations Positions At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again. Apply now and be part of the team that s redefining .

DESCRIPTION AI/ML Lead Location: Bengaluru, Karnataka, India - On-site Hiring Company Name: Ahmed Embassy Hiring Company Location: Bengaluru, Karnataka, India Job Type: Full-time Experience Level: Senior (7-10 years) Job Overview: Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment. Pay Rate/Salary: Competitive, commensurate with experience. Number of Openings: 1 QUALIFICATIONS Must Have Skills Python R Java TensorFlow PyTorch scikit-learn Machine Learning Data preprocessing Feature engineering Model evaluation Communication Leadership Problem-solving Good To Have Skills AWS Azure Google Cloud Hadoop Spark NLP Computer vision DevOps Minimum Education Level Masters Years of Experience 7-10 years ADDITIONAL INFORMATION Pay Range: Competitive, commensurate with experience Work Type: FullTime Location: Bengaluru, Karnataka, India - On-site Job ID: Ahmed -Pag-587E2A or to apply! 3130 Crow Canyon Pl, Ste 205, San Ramon, CA 94583 Copyright 2025 ACHNET Inc, All rights reserved. Product Services Company More

AI/ML Lead, Ahmed Embassy, 7 - 10 years, Bengaluru, Karnataka, India - On-site - ACHNET Are you sure you want to cancel? Are you sure you want to cancel this Profile? You can always come back later Go Back Yes, Cancel Edit Profile The first thing people see Adjustable in settings Access Denied You do not have permission to access the Talent Management menu. This section is restricted to Admins and Editors only. If you believe you should have access, please contact your administrator for assistance. Close YOUR BROWSER IS NOT SUPPORTED To view this experience, please upgade to the latest one of these browsers Ai/Ml Lead to apply! DESCRIPTION AI/ML Lead Location: Bengaluru, Karnataka, India - On-site Hiring Company Name: Ahmed Embassy Hiring Company Location: Bengaluru, Karnataka, India Job Type: Full-time Experience Level: Senior (7-10 years) Job Overview: Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment.

5day.io is looking for SDE III AI ML to join our dynamic team and embark on a rewarding career journey Architect advanced AI/ML solutions for production use Lead model development and integration strategy Collaborate across data science and engineering teams Ensure model accuracy, deployment, and governance

STARTEK is looking for Field Relationship Manager - Operations to join our dynamic team and embark on a rewarding career journey Building and maintaining positive relationships with clients: regular communication, responding to client inquiries and requests, and addressing any issues that arise Understanding client needs and requirements: understanding of the client's needs, goals, and objectives in order to provide relevant and effective solutions Identifying and pursuing new business opportunities: identify new business opportunities, such as upselling existing products or services, and work with the sales team to close new deals Providing excellent customer service: ensuring that clients are satisfied with the products and services they receive Collaborating with internal teams: work closely with other internal teams, such as the sales, marketing, and customer service teams, to ensure that clients receive a seamless and positive experience Keeping abreast of industry trends and developments: stay informed about industry trends and developments in order to provide relevant advice and recommendations to clients Excellent communication, interpersonal, and negotiation skills Strong problem-solving and decision-making abilities Proficiency in Microsoft Office and customer relationship management (CRM) software

" About Us: Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. Why Join Our Team: Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA s NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit www.HippocraticAI.com . We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description About the role: As the Accounts Payable and Payroll Manager for the business, you will own, lead, and scale the AP and Payroll processes and systems to support Hippocratic AI s next growth stage. You will collaborate cross-departmentally to own end-to-end operations to pay vendors and employees accurately and on time, and close month-end books. Specifically, you will work with the corporate teams in the US and India and an outsourced bookkeeper in India (to start with) to ensure seamless operations that drive business success. Key Responsibilities: Manage the accounts payable process from invoice receipt to payment disbursement Ensure compliance with company policies and procedures Review, code, and process vendor invoices accurately and timely Work with internal departments to resolve issues with vendors and suppliers Prepare and analyze reports, such as aging reports and payment forecasts Ensure compliance with accounting standards and federal, state, and local regulations Supervise employee expense claims process Work with the company s HR team based in the US to process payroll for full-time and hourly US employees, and with the outsourced bookkeeper to run the India payroll Operate across multiple platforms for credit card payments, invoice processing, travel bookings, and payroll processing Ensure the accuracy and integrity of the company s financials Create and execute SOPs for accounting processes to ensure effective internal controls Own financial compliance and deliverables for all global entities Drive continuous improvements and scale financial operations Qualifications: 5-8 years of experience managing accounts payable and payroll with a high-growth tech startup and/or multi-national corporations Understanding of US/Indian GAAP A deep understanding of financial controls, vendor management, and process optimization to drive efficiency and maintain strong relationships with suppliers Experience in process automation and systems implementation Knowledge of international payment processes and multi-currency transactions Experience running payroll for

Job Title: Technical Project Manager Location: Hyderabad Experience Required: 10+ years Job Type: Full-time ( Onsite ) Shift Timings : 2 PM to 11 PM IST Overview: We are looking for an experienced Technical Project Manager with a strong background in IT project management to lead and coordinate technology projects for global clients. The ideal candidate should have a minimum of 10 years of experience in delivering complex IT projects, preferably in a fast-paced, Agile environment. Experience working with large Indian MNCs and handling US-based client engagements with offshore development teams in India is highly desirable. Key Responsibilities: Lead the planning and implementation of technical projects across cross-functional teams. Serve as the primary point of contact for US-based clients and ensure effective communication and stakeholder management. Manage project scope, timelines, resources, risks, and deliverables in a structured and efficient manner. Coordinate with India-based development teams and ensure alignment with client expectations and project goals. Work closely with product owners, developers, QA teams, and other stakeholders to drive project success. Monitor and report on project progress using Agile metrics and tools (e.g., JIRA, Confluence, etc.). Ensure high standards of project governance, documentation, and quality control. Identify and manage risks proactively and implement mitigation plans as needed. Requirements: Minimum 10 years of experience in IT project management with at least 5 years in Agile environments. Proven track record of managing large-scale projects with offshore development teams. Experience working in or with large Indian MNCs. Strong client-facing skills with the ability to manage expectations and relationships, especially with US-based clients. Hands-on experience with Agile/Scrum methodologies and tools. Excellent communication, leadership, and organizational skills. Experience in managing multiple concurrent projects. Development background is a strong plus. PMP, CSM, or similar certifications are preferred. Preferred Qualifications: Exposure to AI/ML projects or familiarity with artificial intelligence concepts and delivery models. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with DevOps practices and cloud-native application development. Ability to adapt quickly and manage changing priorities in a dynamic environment

• Meeting with decision makers of Schools to brief about the Company profile, STEMROBO Products and Offerings. • Closing the sale by getting the agreement signed and collection of advance payment and responsible for company revenue generation. Perks and benefits Reimbursement, Medical, PF, Incentives

Position: Data Scientist Trainer Generative AI and Machine Learning Job Location: Chennai/ Bangalore/Noida MODE OF HIRING- TP (THIRD PARTY PAYROLL) CANDIDATE SHOULD BE COMFORTABLE TO TRAVEL INTERNATIONAL/DOMESTIC We are seeking a highly skilled and experienced Data Science and Machine Learning specialist to join our team. The ideal candidate will have a total of 5 to 8 years of professional experience, with a minimum of 2 to 5 years of relevant experience in working with large language models and advanced generative AI algorithms. Responsibilities: 1. Design and implement state-of-the-art machine learning pipelines and processes for data collection, data preprocessing, feature extraction, model training, and model evaluation. 2. Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to identify and define project requirements and deliverables. 3. Conduct advanced statistical analysis and modeling to gain valuable insights from large-scale datasets and provide actionable recommendations to stakeholders. 4. Explore and experiment with novel approaches and techniques in the field of natural language processing (NLP) and machine learning to improve the performance and capabilities of our language models. 5. Stay up-to-date with the latest research and advancements in the field of NLP and AI, and integrate relevant findings into our research and development efforts. 6. Mentor and coach junior members of the team, fostering a culture of learning, knowledge sharing, and professional growth. 7. Assist in the development and implementation of best practices, coding standards, and quality assurance processes. Requirements: 1. Bachelor's or Master's degree in Computer Science, Data Science, or a related field. PhD preferred. 2. Strong expertise in machine learning, deep learning, and natural language processing, with a focus on large language models and generative AI. 3. Extensive hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Keras. 4. Proficiency in programming languages like Python, R, or Java for data manipulation, analysis, and model development. 5. Solid understanding of statistics, probability theory, and mathematical optimization. 6. Proven track record of successfully leading and managing data science and machine learning projects from conception to delivery. 7. Excellent problem-solving skills with the ability to think critically and analytically. 8. Strong written and verbal communication skills, with the ability to effectively present complex concepts and findings to both technical and non-technical stakeholders. If you are passionate about pushing the boundaries of language models and generative AI, and you have a strong background in data science and machine learning, we encourage you to apply. Join our team and contribute to advancing the state-of-the-art in AI!

About the Opportunity Job TypeApplication 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelitys data for business and client insights and working as one voice with the business, technology, and data teams. The teams vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity Internationals Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholders stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

Must have skills required : Software Engineering, System Design, Application development, testing, Debugging, CI/CD, Cloud Good to have skills : Front-end Technologies, Cloud Technologies We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Responsibilities 1. Should have good experience in Python 2. Good knowledge in deep learning or Machine Language Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Accord Technology->Machine Learning->Python Additional Responsibilities: Work Experience : 3 -6yrs Qualification: BE/B.Tech/ME/M.Tech/MCA/M.ScWork Notice Period: Immediate to 30days Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

Role Description This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps , use cases , and test plans for the software development teams. This enabl es the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem , and provide technical support, training, and infrastructure management , and ensure it meets the needs of our Amgen R esearch community. Roles & Responsibilities Function as a Scientific Business Systems Analyst within a Scaled Agile Framework ( SAFe ) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience Masters degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Bachelors degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/ Bioinformatics or related field , OR Preferred Qualifications 3 + years of experience in implementing and supporting LIMS platforms . Functional Skills: Must-Have Skills Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data E xperience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS , LabVantage, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation , and k nowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile process es and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certification s SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

In this vital role you will join a collaborative team implementing and supporting the Integrated case management systems on existing & future technologies. In this role, you will wear multiple hats including requirement gathering, implementation and analyze and resolve issues with case intake and data transfer across integrated systems. Collaborating closely with various teams, you will develop insights and implement solutions to improve system performance, ensuring reliable and efficient processing of data. Roles & Responsibilities: Develop and maintain design & development activities and deploy applications to support GxP system Work closely with internal teams, external vendors, and business partners to address dependencies and resolve bottlenecks for critical issues Collaborate with cross-functional teamsincluding product management, development, QA, and business analyststo gather and align stakeholder requirements Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Provide hands-on technical guidance to development teams across the software development lifecycle (SDLC) Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Must-Have Skills Experience with business analysis, writing user requirements and acceptance criteria in agile project management systems such as JIRA Collaborate with architects and senior developers to define application and infrastructure strategy Design, develop, and deploy applications using Java, J2EE and Salesforce Knowledge of SDLC process, including requirements, design, testing, data analysis, change control Ability to mentor, guide, and review work of junior developers and team members Functional Skills: Good-To-Have Skills Experience in HP ALM, JIRA, ServiceNow Suite and document management systems (e.g. Veeva) Excellent problem-solving skills. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Experienced in managing GxP systems and implementing GxP projects Ability to explain technical concepts to non-technical clients Experience using and adoption of Scaled Agile Framework (SAFe). Soft Skills: Excellent leadership and team management skills. Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Resourcing the project. The Project Manager will collaborate with the IA regional Operation Leads and her/his People Staffing Partner to assign named resources to the project in accordance with the Statement of Work, always accounting for correct margin and utilization Be the single point of contact for the client embracing the entire scope of technologies being delivered by Capgemini IA Anticipate, identify and communicate risks and attention points to the clients Ensure IA Practice frameworks and methodologies are diligently executed by the project team and continuously ensure the quality of delivery is as per Capgemini standards Define, prepare and drive project governance for the clients (project committees, steering committees etc) Primary Skills Should have exposure to executing projects in Cloud environments (GCP (Preferable)/Azure/AWS) Should have understanding of the various components of Cloud infrastructure Should have knowledge about latest technologies including GenAi(Predictive(MLE, Deep Learning)/Agentic/Generative) Should have executed few projects technically hands on Should know Python to understand the challenges and support the teams Should have understanding of model building and training Should have experience in managing projects in AI/ML. Should have end to end project management life cycle for implementing AI projects Secondary Skills Certifications Prince/PMP/AI Related Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Key Responsibilities: Contribute to the creation of technical specifications for applications, infrastructure, or complete solutions. Assist in technical analysis of potential solutions, evaluating the technical fit and viability of commercial off-the-shelf products versus custom-built solutions. Deliver solution designs, adhering to standards and leveraging re-use of components. Create high-level and detailed designs of infrastructure or applications, interfaces, conversions, extensions, reports, and workflows while meeting architecture, security, performance, scalability, and maintainability requirements. Assist technical and infrastructure groups in understanding the solution design and specifications. Participate in formal design reviews and code reviews to ensure detailed design specifications are understood and coding standards are adhered to. Leverage re-usability of component designs to reduce costs and shorten time to deliver solutions. Ensure efficiency in the build and deploy processes, leveraging automation where possible. Assist in the test strategy and execution of the master test plan. Contribute to the creation of standards, processes, procedures, and guidelines for the IT design and development community, as well as work instructions or runbooks used for end-user support. Analyze and revise existing systems and documentation to identify remediation or improvements in the application or infrastructure solution. Provide level 3 support for critical issues. Work closely with IT technical service providers to ensure outsourced work packages are delivered to specifications, meeting key parameters of quality, schedule, cost, security, performance, and scalability. Skills and Experience Needed: 3-5 years of experience. Proficiency in SQL, DAX, M Query, and Python. Familiarity with C# and R (TensorFlow, PyTorch, and NumPy would be a plus). Experience with Azure and Databricks. Experience with data pipeline development, maintenance, and improvement with Azure DataLake. Experience with SSIS (SQL Server Integration Services), SSAS (SQL Server Analysis Services), and Power BI Service. Experience in developing, maintaining, optimizing, automating, and supporting Power BI reports. Experience in data mining, data auditing, and data insight generation. Understanding of AI (Artificial Intelligence)/ML (Machine Learning) concepts and tools in Databricks. Strong technical writing skills for documentation and communication. Knowledge of cybersecurity principles and practices. Knowledge in data governance and knowledgebase management techniques. Proficiency with Agile tools like Jira and Confluence for project management and collaboration. Proficiency in optimizing SSIS, SSAS, AAS (Azure Analytics Services), and Databricks workflows for performance of large datasets. Qualifications: College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Interpersonal Savvy: Relating openly and comfortably with diverse groups of people. Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals. Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications. Solution Configuration: Configures, creates, and tests solutions for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements. Solution Design: Creates and defines solution designs complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models, and documentation to build solutions that meet buildability, business, technical, security, governance, and compliance requirements. Solution Functional Fit Analysis: Composes and decomposes systems into component parts using procedures, tools, and work aides to study how well the component parts were designed, purchased, and configured to interact holistically to meet business, technical, security, governance, and compliance requirements. Solution Modeling: Creates, designs, and formulates models, diagrams, and documentation using industry standards, tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements. Solution Validation Testing: Validates configuration item changes or solutions using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools, and metrics, to ensure they work as designed and meet customer requirements. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

Job Description: Designs and implements AI architectures based on client needs Strategically utilizes the in-house data center as a platform for customer AI workloads Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures Makes strategic choices in AI tools and technologies with a focus on open source and scalability Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management Contributes to AI governance, reliability, and solution scalability Keeps up with the latest developments in AI, hardware acceleration, and infrastructure Assists clients in leveraging AI at an enterprise level Requirements: At least 10 years of experience as an AI Architect or in a comparable technical AI role Experience developing AI solutions for clients in an enterprise environment Experience working in an international context with cross-functional teams Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc. Familiarity with containers and orchestration tools like Docker and Kubernetes Understanding of data governance, security, and compliance in AI projects Strong communication skills and a client-oriented mindset Excellent command of the English language, both spoken and written

Role: AI Specialist JD: Experience in AI/ML design and development Experience in Custom models including Retrieval-Augmented Generation (RAG) Experience in code development and documentation Collaborate with different stakeholder / teams Shift Timings: 12:00 PM - 9:30 PM Work Location: JP Nagar, Bengaluru (WFO)

This role, part of the Digital group, will be responsible for managing, execution and supporting multiple digital projects & initiatives to digitally transform the organization. - Will work closely with his Manager for driving the Digital & Analytics (Smart Manufacturing) roadmap. - Provide program management support for the Digital group in terms of project updates, budgeting, benefit realization and alignment to strategy. - Identification, ideation, conceptualization, analysis and execution of Digital opportunities across the value chain including smart manufacturing (Industry 4.0, IoT) & Advance Analytics (ML/AI), digital workplace & customer experience across all pillars and verticals. - Working closely with SMEs (management, plant staff, support functions etc.) to evangelize and elaborate digital transformation use cases and drive cultural change. - Work closely with vendors/strategic business partners for planning, executing & supporting Digital projects. - Actively research new trends and emerging technologies to see how they can bring business value. - Bring newer ways of working, agility and innovation in solutioning. - At least 3 years of industrial exposure in Smart Manufacturing (Industry 4.0) - i.e. IoT, data analytics, Cloud, MES, preferably in Manufacturing. - Experience of driving Analytics journey in manufacturing industry would be an advantage - Good Understanding & experience of Operation Technologies (OT systems) i.e. DCS, PLC, Sensors, various communication protocols, and IT-OT integration. - Hands-on Experience with the implementation of Analytics platform on Cloud / Hybrid cloud platforms like AWS, Azure, GCP - Basic understanding of Statistics, Mathematical Modeling, Python, Spark & Hadoop ecosystem, SQL, Digital Twin, Machine Learning, Deep Learning, Optimisation coupled with strong business sense would be an advantage. - Well versed with data handling techniques - Data cleansing and feature scaling. - Ability to transform proof of concept machine learning models into scalable production-ready solutions. - Work in an agile and iterative manner on solving problems. and quickly implement solutions. - Agility to learn and develop in-depth understanding of the business processes and linking the same for business insights through data analytics. - Basic knowledge of project planning, executing, controlling and closing. - Experience in managing big scale analytics deployment projects in a fast paced environment - Excellent written/oral communication skills, especially for explaining complex data analytics concepts to non-technical stakeholders. - Ability to assist in multiple projects simultaneously / multi-task - Detail-oriented, self-motivated and highly organized with good problem-solving skills

Role / Designation: Project Manager, Location: Shillong Years of Experience: 7-10 years of relevant experience in Client Facing role in IT Services; Preferably leading AI Data Annotation Teams Education Qualifications : Engineering Degree / Masters Degree / Bachelors Degree Certifications: PMP or Prince 2 certification or Any other industry recognized Project Management Certification (Any One) Other requirements: Ability to travel between iMerit offices up to 25%. Responsibilities will include but not limited to the following: • Overall day-to-day management of data labelling projects, ensuring the project output meets the agreed quality, budget and timeline as agreed with clients. • Work closely with Sr. Project manager to understand project feasibility and help in budgeting, timelines, resource planning and execution. • Ensure compliance to organizational standards, including safety standards and client or customer communications. • Work with cross functional teams to understand the project requirement and to execute a holistic strategy and delivery plan and then own overall responsibility for the successful execution of the project. • Managing deadlines, multitasking, and maintaining high production and quality standards. Being responsible to achieve project success parameters. • Support business development by providing input on project proposal submissions, close new contracts, calculate financial viability and scope of work. • Actively work towards the improvement of processes and automating relevant reports. • Monitor and provide feedback to managed staff to effect improvements in organizational goals. • Review and filter applications for potential new hires. • Assist in interviewing applicants and confer with senior-level management on hiring process. Skill requirements • Experience with working in a high-volume distribution center environment • Proven ability to perform data driven analyses including problem statement, data discovery, and result communication • Quality oriented with high attention to detail • Passionate about technology, self-learner who keeps abreast with latest developments. • Excellent presentation and communication skills; Comfortable explaining technical topics to non-technical users • Team player who can work autonomously and is self-motivated to deliver quality results in a timely manner • Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously. Must be comfortable in ambiguity and constantly evolving environment • Proven ability to deal with problems and solve them effectively • Ability to work well either individually or as part of a team • Proficient in Microsoft Excel, Word, Powerpoint More About Company: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a clients journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human powered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women.

Model Development & Experimentation: Assist in the research, design, development, and implementation of machine learning and deep learning models. Contribute to the selection and fine-tuning of algorithms (e.g., supervised, unsupervised, reinforcement learning, neural networks, NLP models, computer vision models). Conduct experiments to evaluate model performance, identify limitations, and propose improvements. Data Preparation & Analysis: Collect, clean, preprocess, and transform large and complex datasets to ensure high-quality training data for AI models. Perform exploratory data analysis to uncover insights, patterns, and trends that inform model development. Utilize data visualization techniques to present findings clearly. Research & Learning: Conduct literature reviews on current AI trends, state-of-the-art models, and best practices. Stay updated with the latest advancements in AI, machine learning, and deep learning. Contribute to brainstorming sessions and provide innovative ideas for AI solutions. Collaboration & Documentation: Collaborate effectively with AI engineers, data scientists, researchers, and cross-functional teams to understand project requirements and objectives. Assist in maintaining detailed records of AI experiments, model development processes, code, and results. Support in preparing technical reports and presentations to communicate findings to internal stakeholders. Code Implementation & Optimization: Write clean, efficient, and well-documented code in Python (or other relevant languages) for AI model development and deployment. Assist in debugging and optimizing AI model performance and efficiency.