633 Gen Ai Jobs - Page 12

About the Role We are seeking a Generative AI Engineer with 69 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments fro

Location: Mumbai , Pune, Chennai, Hyderabad, Bangalore, Noida NP: Immediate-30 days We are looking for a Power Platform Developer to join our team In this role you will be responsible for designing developing and implementing solutions using the Microsoft Power Platform suite including Power Apps Power Automate and Power BI and Azure services The ideal candidate should have a strong background in software development experience with the Microsoft Power Platform Azure AI services skills and the ability to create solutions that improve business processes and decision making. Ideal candidate should be Total experience should be 8 years Develop and maintain applications using Microsoft Power Apps Automate business processes and workflows using Microsoft Power Automate Create data visualization and reporting solutions using Power BI Working experience with Copilot Studio to build Copilots Working experience with Azure AI services and Python data analytics skills Should be able to use Azure Open AI and other GenAI capabilities in Azure cloud Collaborate with business stakeholders to gather requirements and deliver custom solutions Integrate Power Platform solutions with other Microsoft services and thirdparty applications Ensure solutions are scalable maintainable and secure Provide technical support and training to users Stay updated with the latest features and updates in the Microsoft Power Platform Ability to understand the business process and create process flow diagrams when required Analyse business problems design technology solutions to these problems and manage the solution through the full life cycle Works in collaboration with projects teams to develop test Integrate implement and support solutions using RPA platform s Responsible for ensuring an efficient integration of programming deliverables timely builds and overall code quality Good communication and analytical skills with troubleshooting the issue on own Candidate should be ready to work in weekend and night shifts Power Platform Certification is added advantage Knowledge of Python is added advantage

Common Skillsets: 5+ years of experience in analytics, data engineering, and technologies like PySpark, Python, Spark, and SQL. Strong experience in managing and transforming big data sets using PySpark, Spark-Scala, NumPy, and pandas. Involved in presales activities with proven client engagement experience. Hands-on experience with Gen AI proof of concepts (POC). Skilled in managing Python codebases and collaborating with customers on model development and evolution. Solid understanding of database management, Hadoop, Spark, SQL, Hive, and Python. Excellent communication and presentation skills for client-facing roles.

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Mirafra Technologies is Hiring #GenAIEngineer (#RAG, #LLM, #FineTuning) Are you passionate about Generative AI and cutting-edge technologies? Join We're looking for Gen AI Engineers with 3 to 5 years of experience in: Walk-In Date: Thursday, 3rd July 2025 Time: 11:00 AM 1:00 PM Job Location - #Bangalore and #Hyderabad Venue: Mirafra Technologies 2nd Floor, Akshay Tech Park, Plot No. 72 & 73, Vijayanagar, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066 Contact Person: Vignesh D Requirements: 3 to 5yrs Strong experience with Gen AI frameworks Hands-on with LLM architecture and deployment Familiarity with RAG pipelines and fine-tuning techniques Solid programming skills in Python

Job Description Hiring Backend Developer with 3+ yrs experience in Node.js, REST APIs, AWS, and databases. Must be open to Gen AI tools like GitHub Copilot. Strong coding, problem-solving, and collaboration skills required . Location: Chennai

Experience- 10-14 yrs Location- Hyderabad Shift Timings: 11AM to 8PM Hybrid- 2-3 days' work from office Role & responsibilities Qualifications Required: Education qualification: BE /B Tech ( IT/CS/Electronics) / MCA / MSc Computer science 10+ years of IT experience in application development, support, or maintenance activities 4+ years of team management experience(technically) Must have experience on at least 2 full life cycle of software development. Hands on experience on ASP.NET , C# , HTML , CSS , JavaScript , React / Angular, SQL server and Microsoft Azure Preferred: 2+ years of experiencing in Agile / scrum methodology. Client facing and exposure to onshore offshore delivery model. Experience in working in a global environment involving multiple development sites on various time zones.

Role & responsibilities Key Responsibilities: Define and design enterprise-level architecture using .NET technologies and Microsoft Azure services. Lead the design of microservices, APIs, and integration strategies. Collaborate with product owners, business analysts, and stakeholders to translate requirements into scalable technical solutions. Guide and mentor development teams across the software development lifecycle. Ensure performance, scalability, security, and compliance standards are met. Conduct code and design reviews to maintain code quality and architectural integrity. Stay updated with industry trends and Azure service advancements. Preferred candidate profile Required Skills & Qualifications: 10+ years of experience in software development with expertise in .NET / .NET Core Strong experience in designing and implementing applications on Microsoft Azure including services like Azure App Services, Azure Functions, Azure API Management, Azure Kubernetes Service (AKS), Azure Storage, Azure SQL, and Azure DevOps Hands-on experience in microservices architecture , RESTful APIs , and event-driven systems Excellent knowledge of design patterns , architecture principles , and UML modeling Experience with performance tuning, security best practices, and cost optimization on Azure Strong communication and leadership skills

L & D Specialist- Content/NLP Location -Kolkata EXP- 3-5 yrs in Training Required Skill: • Bachelor's or Master's degree in any field. • Proven experience in natural language processing, machine learning, and data analysis. • Preferred experience with machine learning frameworks. • Excellent communication and presentation skills, with the ability to explain complex concepts in an accessible manner. • Demonstrated ability to develop and deliver effective training programs. • Strong problem-solving skills and the ability to work independently as well as part of a team. • Passion for teaching and mentoring, with a commitment to continuous learning and improvement. Preferred Qualifications: • Experience in industry-specific NLP applications (e.g., healthcare, finance, customer service). • Familiarity with cloud-based NLP services (e.g., AWS, Google Cloud, Azure). • Previous experience in a training or educational role.

Role & responsibilities .Net Fullstack + AWS + Angular + AI/Gen AI (good to have) Notice Period-Immediate to July/Aug Joiners *Note-Reply only if experience, notice period and skills matching with your profile. Preferred candidate profile

What you will do Build robust backend services and APIs using Python (FastAPI, asyncio) for GenAI workflows and LLM-based systems. Develop and maintain GenAI applications using tools like LangChain, LangGraph, and Cohere, integrating them with custom APIs and data sources. Contribute to systems that enable intelligent routing of prompts, dynamic tool execution, and seamless model-data integration across multiple sources Write clean, modular code for model integration, semantic search, and multi-step agent workflows. Package and deploy applications using Docker and Kubernetes, ensuring scalability and security. Collaborate with data engineers, AI scientists, and infra teams to ship end-to-end features quickly, without sacrificing quality. What you need to succeed Must Have Strong backend development skills in Python Solid understanding of machine learning and generative AI Degree in Computer Science or Engineering Experience deploying services with Docker and Kubernetes in a cloud environment. Familiarity with LLM APIs (OpenAI, Cohere) and how to build prompt-based applications around them. Comfortable writing and debugging PySpark jobs and working with Delta Lake in Databricks. Experience working with Git workflows, CI/CD, and container-based deployments. Nice to Have Experience with LangChain, LangGraph, or other LLM orchestration frameworks. Experience building and deploying MCP Servers, AI Agents Experience with any vector database. Experience with ML FLow

JOB DESCRIPTION: To design and implement Process Mining, text mining and Data Quality for HCL Software Client Support data sources. To define the event data collection and transformation and the visualizations (diagrams) that will allow Process Discovery (detection of the actual process followed by Support staff and Customers). To identify areas for Process Enhancement. To combine structured and unstructured data to create new insights into historical business performance, make predictions and recommend process improvements. To design and implement Data Quality controls for HCL Software Client Support data sources. To improve how data is obtained and transformed. To design and implement metrics based on the existing data to measure and improve business processes. To monitor and optimize queries, reports and dashboards. To maintain the DataMart. QUALIFICATION: Lead Software Engineer 5+ years Business Context HCL Software provides solutions for Business and Industry Applications, Cybersecurity, Data and Analytics, AI and Intelligent Operations, among others. You can see more information at: https://www.hcl-software.com/products. HCL Software Client Support delivers its service to corporate clients worldwide from many locations around the globe. We are looking for an experienced Lead Software Engineer to join our team and improve the quality, integrity and usability of the support data. The successful candidate will help directors, project managers and support managers to understand the trends in the data produced by the support ticketing tools and other sources, thus enabling the timely implementation of process improvements that result in meeting customer satisfaction objectives. Candidate profile To be successful in this role, you should have the following skills: - Deep understanding of relational databases (such as Postgresql, others are also acceptable) - Proficiency in SQL (extensive experience in how to write, analyze and optimize complex queries, including how to manage indexes to improve performance) - Experience with Data Modeling, DataMart, Data Warehouse concepts and implementations, ETL jobs - Solid understanding of Process Mining (Process Discovery, Process Modeling, Conformance Checking, Process Enhancement) as described in: https://www.process-mining-summer- school.org/ - Experience applying Deep Learning to Natural Language Processing (using Python and PyTorch or TensorFlow/Keras or JAX). You are familiar with concepts like RNNS, CNNs, Transformers and GenerativeAI. You can use existing LLMs for inference and you know how to fine tune models. You have experience using models exposed via REST APIs. - Experience with a programming language, preferably Python - Experience in conveying high level information with Diagrams, Reports and Dashboards. - Excellent English communication skills, including the ability to adapt the presentation style to various types of stakeholders - Experience working in an international and diverse environment Experience with CRM tools like ServiceNow or SalesForce and RESTful APIs is a plus. Our stack includes Kubernetes, PostgreSQL, Python, Apache Airflow, Apache Superset, so experience with any of these technologies is helpful. Knowledge of Javascript/Typescript is a plus.

Role & responsibilities .Net Fullstack + AWS + Angular + AI/Gen AI (good to have) Notice Period-Immediate to July/Aug Joiners *Note-Reply only if experience, notice period and skills matching with your profile. Preferred candidate profile

Why CDM Smith? Join a team of innovators dedicated to driving data science and AI to new heights. Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve. Competitive compensation and benefits package, with opportunities for professional development and growth. About CDM Smith: CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies. Position Summary: We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning : Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship : Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.

Mandate Skills: - Gen AI - Python - NLP - LLM - RAG - Azure

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant, Senio r Data Scientist ! In this role, you will have a strong background in Gen AI implementations, data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders Responsibilities Develop and maintain machine learning models to identify patterns and trends in large datasets. Utilize Gen AI and various LLMs to design & develop production ready use cases. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner. Continuously monitor and improve the performance of existing models and processes. Stay up to date with industry trends and advancements in data science and machine learning. Design and implement data models and ETL processes to extract, transform, and load data from various sources. Good hands own experience in AWS bedrock models, Sage maker, Lamda etc Data Exploration & Preparation - Conduct exploratory data analysis and clean large datasets for modeling. Business Strategy & Decision Making - Translate data insights into actionable business strategies. Mentor Junior Data Scientists - Provide guidance and expertise to junior team members. Collaborate with Cross-Functional Teams - Work with engineers, product managers, and stakeholders to align data solutions with business goals. Qualifications we seek in you! Minimum Qualifications Bachelor%27s / Master%27s degree in computer science , Statistics, Mathematics, or a related field. Relevant years of experience in a data science or analytics role. Strong proficiency in SQL and experience with data warehousing and ETL processes. Experience with programming languages such as Python & R is a must . (either one ) Familiarity with machine learning tools and libraries such as Pandas, scikit-learn and AI libraries. Having excellent knowledge in Gen AI, RAG, LLM Models & strong understanding of prompt engineering. Proficiency in Az Open AI & AWS Sagemaker implementation. Good understanding statistical techniques such and advanced machine learning Experience with data warehousing and ETL processes. Proficiency in SQL and database management. Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud. Experience with Azure ML Studio is desirable. Knowledge of different machine learning algorithms and their applications. Familiarity with data preprocessing and feature engineering techniques. Preferred Qualifications/ Skills Experience with model evaluation and performance metrics. Understanding of deep learning and neural networks is a plus. Certified in AWS Machine learning , AWS Infra engineer is a plus Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities Design, develop, and deploy ML/DL models tailored for clinical data applications (e.g., EHR, imaging, genomics). Preprocess and clean large, complex datasets, ensuring compliance with healthcare data standards (e.g., HL7, FHIR). Collaborate with clinical experts, data engineers, and product teams to understand and define ML problem statements. Evaluate model performance using appropriate statistical and domain-specific metrics. Implement pipelines for data ingestion, model training, and deployment in production environments (cloud/on-premise). Ensure AI/ML solutions adhere to privacy, security, and ethical standards (HIPAA, GDPR, etc.). Maintain thorough documentation and contribute to knowledge sharing within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or a related field. 4–6 years of experience in machine learning and data science roles. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.). Experience working with structured and unstructured clinical data. Familiarity with clinical terminologies (e.g., SNOMED CT, ICD-10) and healthcare interoperability standards. Experience with cloud platforms (AWS, GCP, or Azure) for ML model development and deployment. Preferred Qualifications: Prior experience in developing AI models for diagnosis, risk prediction, or clinical decision support. Knowledge of regulatory and ethical considerations in clinical AI systems. Publications, patents, or contributions to open-source healthcare AI projects. Preferred candidate profile We are seeking a skilled AI/ML Engineer with 4–6 years of hands-on experience in designing and deploying machine learning models, preferably within the clinical or healthcare domain. The ideal candidate will bring a deep understanding of data science techniques, clinical data processing, and regulatory awareness to help build impactful AI-driven healthcare solutions.

Immediate joiners to max 15 days only Work Location: Hyderabad 5 days work from office No. of positions: 5 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Data Analytics view , Analytical Thinking, Data Slicing, Data Engineering. Select the right model and present the findings & justification / documentation of the findings - PPT / Other ways of doing Plan his own work / day Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components If Interested please reach mounika.tungala@coforge.com Total Exp : Rel Exp : ctc : Exp ctc : Notice : current location : Ready to work from office : any offers : ready for inperson Interview :

This is a individual contributor role. Looking candidates from Product/Life Science/ Pharma/Consulting background only. POSITION: Data Architect. LOCATION: NCR/Bangalore/Gurugram. PRODUCT: Axtria DataMAx is a global cloud-based data management product specifically designed for the life sciences industry. It facilitates the rapid integration of both structured and unstructured data sources, enabling accelerated and actionable business insights from trusted data This product is particularly useful for pharmaceutical companies looking to streamline their data processes and enhance decision-making capabilities. JOB OBJECTIVE: To leverage expertise in data architecture and management to design, implement, and optimize a robust data warehousing platform for the pharmaceutical industry. The goal is to ensure seamless integration of diverse data sources, maintain high standards of data quality and governance, and enable advanced analytics through the definition and management of semantic and common data layers. Utilizing Axtria DataMAx and generative AI technologies, the aim is to accelerate business insights and support regulatory compliance, ultimately enhancing decision-making and operational efficiency. Key Responsibilities: Data Modeling: Design logical and physical data models to ensure efficient data storage and retrieval. ETL Processes: Develop and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse. Infrastructure Design: Plan and implement the technical infrastructure, including hardware, software, and network components. Data Governance: Ensure compliance with regulatory standards and implement data governance policies to maintain data quality and security. Performance Optimization: Continuously monitor and improve the performance of the data warehouse to handle large volumes of data and complex queries. Semantic Layer Definition: Define and manage the semantic layer architecture and technology stack to manage the lifecycle of semantic constructs including consumption into downstream systems. Common Data Layer Management: Integrate data from multiple sources into a centralized repository, ensuring consistency and accessibility. Deep expertise in architecting enterprise grade software systems that are performant, scalable, resilient and manageable. Architecting GenAI based systems is an added plus. Advanced Analytics: Enable advanced analytics and machine learning to identify patterns in genomic data, optimize clinical trials, and personalize medication. Generative AI: Should have worked with production ready usecase for GenAI based data and Stakeholder Engagement: Work closely with business stakeholders to understand their data needs and translate them into technical solutions. Cross-Functional Collaboration: Collaborate with IT, data scientists, and business analysts to ensure the data warehouse supports various analytical and operational needs. Data Modeling: Strong expertise in Data Modelling, with ability to design complex data models from the ground up and clearly articulate the rationale behind design choices. ETL Processes: Must have worked with different loading strategies for facts and dimensions like SCD, Full Load, Incremental Load, Upsert, Append only, Rolling Window etc.. Cloud Warehouse skills: Expertise in leading cloud data warehouse platformsSnowflake, Databricks, and Amazon Redshift—with a deep understanding of their architectural nuances, strengths, and limitations, enabling the design and deployment of scalable, high-performance data solutions aligned with business objectives. Qualifications: Proven experience in data architecture and data warehousing, preferably in the pharmaceutical industry. Strong knowledge of data modeling, ETL processes, and infrastructure design. Experience with data governance and regulatory compliance in the life sciences sector. Proficiency in using Axtria DataMAx or similar data management products. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Preferred Skills: Familiarity with advanced analytics and machine learning techniques. Experience in managing semantic and common data layers. Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards. Experience with generative AI technologies and their application in data warehousing.

Immediate Hiring !!!!! We are conducting a scheduled Drive @ Chennai Office Experience - 3-17 years Designation - Senior Engineer/Module Leader/Technical Leader/Architect Location - Chennai Interview Mode - Face to Face - 12th July - Saturday @ Chennai Office Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 3-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM) Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc. (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Contact Recruiter: Anishma Alexen Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 10 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Kindly complete the registration process as it mandate for participation Registration Link: https://lnkd.in/gfXVUE8U

Generative AI Developer with AWS and Python

Must have Technical skills Requirements • Overall 3 to 12 years of experiencein AI, ML and Gen AI and related technologies, CTC is open for discussion based on experience. • Proven track record of leading and scaling AI/ML teams and initiatives. • Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. • Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning. • Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices- DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack • Experience in production-level deployment of AI models at enterprise scale. • Proficiency in data preprocessing, feature engineering, and large-scale data handling. • Expertise in image and video processing, object detection, image segmentation, and related CV tasks. • Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. • Experience with speech recognition, audio classification, and general signal processing techniques. • Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Soft Skills • Strong leadership and team management skills. • Excellent verbal and written communication skills. • Strategic thinking and problem-solving abilities. • Adaptability and adapting to the rapidly evolving AI/ML landscape. • Strong collaboration and interpersonal skills. • Ability to translate market needs into technological solutions. • Strong understanding of industry dynamics and ability to translate market needs into technological solutions. • Demonstrated ability to foster a culture of innovation and creative problem-solving. Lead and manage the AI/ML Center of Excellence (CoE), setting strategic direction and goals. • 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker) • Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio). • Hire, train, and manage a team of AI experts to run the CoE effectively. • Collaborate with sales teams to identify opportunities and drive revenue growth through AI/ML solutions. • Develop and deliver training programs to upskill teams across the organization in AI/ML technologies. Oversee the Implement and maintain best practices in MLOps, DevOps, and CI/CD for AI/ML projects. • Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Experience Growth Path Mode of employment • Provide thought leadership through whitepapers, conference presentations, and industry engagements to position the organization as an AI/ML leader

Job Description: AI/ML Gen AI Expert (4-7 Years Experience) Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets.

Min 8+ years of hands-on Full Stack Development with AI /ML, Gen AI, React, MS Azure, MS SQL, Python (for middleware and backend logic), integrating with third-party platforms or APIs (MuleSoft a plus), tensorflow, Pytorch, Keras